Water Resource Engineering

Editor's Notes

• #5: Detailed Contents Chapter 1. Introduction. 1.1 Background. 1.2 The Worldâ ™s FreshWater Resources. 1.3 Water Use in the United States. 1.4 Systems of Units. 1.5 What Is Water? 1.6 The Future of Water Resources. Chapter 2. Principles of Flow in Hydrosystems. 2.1 Properties Involving Mass or Weight of Water. 2.2 Viscosity. 2.3 Elasticity. 2.4 Pressure and Pressure Variation. 2.5 Surface Tension. 2.6 Flow Visualization. 2.7 Laminar and Turbulent Flow. 2.8 Discharge. Chapter 3. Flow Processes and Hydrostatic Forces. 3.1 Control Volume Approach for Hydrosystems. 3.2 Continuity. 3.3 Energy. 3.4 Momentum. 3.5 Pressure and Pressure Forces in Static Fluids. 3.5.1 Hydrostatic Forces. 3.5.2 Buoyancy. 3.6 Velocity Distribution. Chapter 4. Hydraulic Processes: Pressurized Pipe Flow. 4.1 Classification of Flow. 4.2 Pressurized (Pipe) Flow. 4.2.1 Energy Equation. 4.2.2 Hydraulic and Energy Grade Lines. 4.3 Headlosses. 4.3.1 Shear-Stress Distribution of Flow in Pipes. 4.3.2 Velocity Distribution of Flow in Pipes. 4.3.3 Headlosses from Pipe Friction. 4.3.4 Form (Minor) Losses. 4.4 Forces in Pipe Flow. 4.5 Pipe Flow in Simple Networks. 4.5.1 Series Pipe Systems. 4.5.2 Parallel Pipe Systems. 4.5.3 Branching Pipe Flow. 4.6 Measurement of Flowing Fluids in Pressure Conduits. 4.6.1 Measurement of Static Pressure. 4.6.2 Measurement of Velocity. 4.6.3 Measurement of Discharge. Chapter 5. Hydraulic Processes: Open-Channel Flow. 5.1 Steady Uniform Flow. 5.1.1 Energy. 5.1.2 Momentum. 5.1.3 Best Hydraulic Sections for Uniform Flow in Nonerodible Channels. 5.2 Specific Energy, Momentum, and Specific Force. 5.2.1 Specific Energy. 5.2.2 Momentum. 5.2.3 Specific Force. 5.3 Steady, Gradually Varied Flow. 5.3.1 Gradually Varied Flow Equations. 5.3.2 Water Surface Profile Classification. 5.4 Gradually Varied Flow for Natural Channels. 5.4.1 Development of Equations. 5.4.2 Energy Correction Factor. 5.4.3 Application for Water Surface Profile. 5.5 Rapidly Varied Flow. 5.6 Discharge Measurement. 5.6.1 Weir. 5.6.2 Flumes. 5.6.3 Stream Flow Measurement: Velocity-Area-Integration Method. Chapter 6. Hydraulic Processes: Groundwater Flow. 6.1 Groundwater Concepts. 6.2 Saturated Flow. 6.2.1 Governing Equations. 6.2.2 Flow Nets. 6.3 Steady-State One-Dimensional Flow. 6.4 Steady-State Well Hydraulics. 6.4.1 Flow to Wells. 6.4.2 Confined Aquifers. 6.4.3 Unconfined Aquifers. 6.5 Transient Well Hydraulicsâ Confined Conditions. 6.5.1 Nonequilibrium Well Pumping Equation. 6.5.2 Graphical Solution. 6.5.3 Cooperâ Jacob Method of Solution. 6.6 Transient Well Hydraulicsâ Unconfined Conditions. 6.7 Transient Well Hydraulicsâ Leaky Aquifer Conditions. 6.8 Boundary Effects: Image Well Theory. 6.8.1 Barrier Boundary. 6.8.2 Recharge Boundary. 6.8.3 Multiple Boundary Systems. 6.9 Simulation of Groundwater Systems. 6.9.1 Governing Equations. 6.9.2 Finite Difference Equations. 6.9.3 MODFLOW. Chapter 7. Hydrologic Processes. 7.1 Introduction to Hydrology. 7.1.1 What Is Hydrology? 7.1.2 The Hydrologic Cycle. 7.1.3 Hydrologic Systems. 7.1.4 Atmospheric and Ocean Circulation. 7.2 Precipitation (Rainfall). 7.2.1 Precipitation Formation and Types. 7.2.2 Rainfall Variability. 7.2.3 Disposal of Rainfall on a Watershed. 7.2.4 Design Storms. 7.2.5 Estimated Limiting Storms. 7.3 Evaporation. 7.3.1 Energy Balance Method. 7.3.2 Aerodynamic Method. 7.3.3 Combined Method. 7.4 Infiltration. 7.4.1 Unsaturated Flow. 7.4.2 Greenâ Ampt Method. 7.4.3 Other Infiltration Methods. Chapter 8. Surface Runoff. 8.1 Drainage Basins. 8.2 Hydrologic Losses and Rainfall Excess. 8.3 Rainfall-Runoff Analysis Using Unit Hydrograph Approach. 8.4 Synthetic Unit Hydrographs. 8.5 S-Hydrographs. 8.6 SCS Rainfall-Runoff Relation . 8.7 Curve Number Estimation and Abstractions. 8.7.1 Antecedent Moisture Conditions. 8.7.2 Soil Group Classification. 8.7.3 Curve Numbers. 8.8 SCS Unit Hydrograph Procedure. 8.8.1 Time of Concentration. 8.8.2 Time to Peak. 8.8.3 Peak Discharge. 8.9 Kinematic-Wave Overland Flow Runoff Model. 8.10 Computer Models for Rainfall-Runoff Analysis. Chapter 9. Reservoir and Stream Flow Routing. 9.1 Routing. 9.2 Hydrologic Reservoir Routing. 9.3 Hydrologic River Routing. 9.4 Hydraulic (Distributed) Routing. 9.4.1 Unsteady Flow Equations: Continuity Equation. 9.4.2 Momentum Equation. 9.5 Kinematic Wave Model for Channels. 9.5.1 Kinematic Wave Equations. 9.5.2 U.S. Army Corps of Engineers HEC-1 Kinematic Wave Model for Overland Flow and Channel Routing. 9.5.3 KINEROS Channel Flow Routing Model. 9.5.4 Kinematic Wave Celerity. 9.6 Muskingum-Cunge Model. 9.7 Implicit Dynamic Wave Model. Chapter 10. Probability, Risk, and Uncertainty Analysis for Hydrologic and Hydraulic Design. 10.1 Probability Concepts. 10.2 Commonly Used Probability Distributions. 10.2.1 Normal Distribution. 10.2.2 Log-Normal Distribution. 10.3 Hydrologic Design for Water Excess Management. 10.3.1 Hydrologic Design Scale. 10.3.2 Hydrologic Design Level (Return Period). 10.3.3 Hydrologic Risk. 10.3.4 Hydrologic Data Series. 10.4 Hydrologic Frequency Analysis. 10.5 U.S Water Resources Council Guidelines for Flood Flow Frequency Analysis. 10.5.1 Procedure. 10.5.2 Testing for Outliers. 10.6 Analysis of Uncertainties. 10.7 Risk Analysis: Composite Hydrologic and Hydraulic Risk. 10.7.1 Reliability Computation by Direct Integration. 10.7.2 Reliability Computation Using Safety Margin/Safety Factor. 10.8 Computer Models for Floodflow Frequency Analysis. Chapter 11. Water Withdrawals and Uses. 11.1 Water-Use Dataâ Classification of Uses. 11.2 Water for Energy Production. 11.3 Water for Agriculture. 11.3.1 Irrigation Trends and Needs. 11.3.2 Irrigation Infrastructure. 11.3.3 Irrigation System Selection and Performance. 11.3.4 Water Requirements for Irrigation. 11.3.5 Impacts of Irrigation. 11.4 Water Supply/Withdrawals. 11.4.1 Withdrawals. 11.4.2 Examples of Regional Water Supply Systems. 11.5 Water Demand and Price Elasticity. 11.5.1 Price Elasticity of Water Demand. 11.5.2 Demand Models. 11.6 Drought Management. 11.6.1 Drought Management Options. 11.6.2 Drought Severity. 11.6.3 Economic Aspects of Water Shortage. 11.7 Analysis of Surface Water Supply. 11.7.1 Surface-Water Reservoir Systems. 11.7.2 Storageâ Firm Yield Analysis for Water Supply. 11.7.3 Reservoir Simulation. Chapter 12. Water Distribution. 12.1 Introduction. 12.1.1 Description, Purpose, and Components of Water Distribution Systems. 12.1.2 Pipe Flow Equations. 12.2 System Components. 12.2.1 Pumps. 12.2.2 Pipes and Fittings. 12.2.3 Valves. 12.3 System Configuration and Operation. 12.4 Hydraulics of Simple Networks. 12.4.1 Series and Parallel Pipe Flow. 12.4.2 Branching Pipe Flow. 12.5 Pump Systems Analysis. 12.5.1 System Head Curves. 12.5.2 Pump Operating Point. 12.5.3 System Design for Water Pumping. 12.6 Network Simulation. 12.6.1 Conservation Laws. 12.6.2 Network Equations. 12.6.3 Network Simulation: Hardyâ Cross Method. 12.6.4 Network Simulation: Linear Theory Method. 12.6.5 Extended-Period Simulation. 12.7 Modeling Water Distribution Systems. 12.7.1 Computer Models. 12.7.2 Calibration. 12.7.3 Application of Models. 12.7.4 Water Quality Modeling. 12.8 Hydraulic Transients. 12.8.1 Hydraulic Transients in Distribution Systems. 12.8.2 Fundamentals of Hydraulic Transients. 12.8.3 Control of Hydraulic Transients. Chapter 13. Water for Hydroelectric Generation. 13.1 Role of Hydropower. 13.2 Components of Hydroelectric Plants. 13.2.1 Elements to Generate Electricity. 13.2.2 Hydraulics of Turbines. 13.2.3 Power System Terms and Definitions. 13.3 Determining Energy Potential. 13.3.1 Hydrologic Data. 13.3.2 Water Power Equations. 13.3.3 Turbine Characteristics and Selection. 13.3.4 Flow Duration Method. 13.3.5 Sequential Streamflow-Routing Method. 13.3.6 Power Rule Curve. 13.3.7 Multipurpose Storage Operation. Chapter 14. Flood Control. 14.1 Introduction. 14.2 Floodplain Management. 14.2.1 Floodplain Definition. 14.2.2 Hydrologic and Hydraulic Analysis of Floods. 14.2.3 Floodways and Floodway Fringes. 14.2.4 Floodplain Management and Floodplain Regulations. 14.2.5 National Flood Insurance Program. 14.2.6 Stormwater Management and Floodplain Management. 14.3 Flood-Control Alternatives. 14.3.1 Structural Alternatives. 14.3.2 Nonstructural Measures 542 14.4 Flood Damage and Net Benefit Estimation. 14.4.1 Damage Relationships. 14.4.2 Expected Damages. 14.4.3 Risk-Based Analysis. 14.5 U.S. Army Corps of Engineers Risk-Based Analysis for Flood-Damage Reduction Studies. 14.5.1 Terminology. 14.5.2 Benefit Evaluation. 14.5.3 Uncertainty of Stage-Damage Function. 14.6 Operation of Reservoir Systems for Flood Control. 14.6.1 Flood-Control Operation Rules. 14.6.2 Tennessee Valley Authority (TVA) Reservoir System Operation. Chapter 15. Stormwater Control: Storm Sewers and Detention. 15.1 Stormwater Management. 15.2 Storm Systems. 15.2.1 Information Needs and Design Criteria. 15.2.2 Rational Method Design. 15.2.3 Hydraulic Analysis of Designs. 15.2.4 Storm Sewer Appurtenances. 15.2.5 Risk-Based Design of Storm Sewers. 15.3 Stormwater Drainage Channels. 15.3.1 Rigid-Lined Channels. 15.3.2 Flexible-Lined Channels. 15.4 Stormwater Detention. 15.4.1 Why Detention? Effects of Urbanization. 15.4.2 Types of Surface Detention. 15.4.3 Sizing Detention. 15.4.4 Detention Basin Routing. 15.4.5 Subsurface Disposal of Stormwater. Chapter 16. Stormwater Control: Street and Highway Drainage and Culverts. 16.1 Drainage of Street and Highway Pavements. 16.1.1 Design Considerations. 16.1.2 Flow in Gutters. 16.1.3 Pavement Drainage Inlets. 16.1.4 Interception Capacity and Efficiency of Inlets on Grade. 16.1.5 Interception Capacity and Efficiency of Inlets in Sag Locations. 16.1.6 Inlet Locations. 16.1.7 Median, Embankment, and Bridge Inlets. 16.2 Hydraulic Design of Culverts. 16.2.1 Culvert Hydraulics. 16.2.2 Culvert Design. Chapter 17. Design of Spillways and Energy Dissipation for Flood Control Storage and Conveyance Systems. 17.1 Hydrologic Considerations. 17.2 Dams. 17.2.1 Type of Dams. 17.2.2 Hazard Classification of Dams. 17.2.3 Spillway Capacity Criteria. 17.2.4 Safety of Existing Dams. 17.2.5 Hydraulic Analysis of Dam Failures. 17.2.6 Examples of Dams and Spillways. 17.3 Spillways. 17.3.1 Functions of Spillways. 17.3.2 Overflow and Free-Overfall (Straight Drop ) Spillways. 17.3.3 Ogee (Overflow) Spillways. 17.3.4 Side Channel Spillways. 17.3.5 Drop Inlet (Shaft or Morning Glory) Spillways. 17.3.6 Baffled Chute Spillways. 17.3.7 Culvert Spillways. 17.4 Hydraulic-Jump Type Stilling Basins and Energy Dissipators. 17.4.1 Types of Hydraulic Jump Basins. 17.4.2 Basin I. 17.4.3 Basin II. 17.4.4 Basin III. 17.4.5 Basin IV. 17.4.6 Basin V. 17.4.7 Tailwater Considerations for Stilling Basin Design. 17.5 Other Types of Stilling Basins. 17.6 Gates and Valves. 17.6.1 Spillway Crest Gates. 17.6.2 Gates for Outlet Works. 17.6.3 Valves for Outlet Works. 17.7 Outlet Works. Chapter 18. Sedimentation and Erosion Hydraulics. 18.0 Introduction. 18.1 Properties of Sediment. 18.1.1 Size and Shape. 18.1.2 Measurement of Size Distribution. 18.1.3 Settling Analysis for Finer Particles. 18.1.4 Fall Velocity. 18.1.5 Density. 18.1.6 Other Important Relations. 18.2 Bed Forms and Flow Resistance. 18.2.1 Bed Forms. 18.2.2 Sediment Transport Definitions. 18.2.3 Flow Resistance. 18.3 Sediment Transport. 18.3.1 Incipient Motion. 18.3.2 Sediment Transport Functions. 18.3.3 Armoring. 18.4 Bed Load Formulas. 18.4.1 Duboys Formula. 18.4.2 Meyer-Peter and Muller Formula. 18.4.3 Schoklitsch Formula. 18.5 Suspended Load. 18.6 Total Sediment Load (Bed Material Load Formulas). 18.6.1 Colbyâ ™s Formula. 18.6.2 Ackers-White Formula. 18.6.3 Yangâ ™s Unit Stream Power Formula. 18.7 Watershed Sediment Yield. 18.8 Reservoir Sedimentation. 18.9 Stream Stability at Highway Structures. 18.9.1 Factors that Affect Stream Stability. 18.9.2 Basic Engineering Analysis. 18.9.3 Countermeasures (Flow Control Structure) for Stream Instability. 18.9.4 Spurs. 18.9.5 Guide Banks (Spur Dikes). 18.9.6 Check Dams (Channel Drop Structures). 18.10 Bridge Scour. 18.10.1 Design Approach. 18.10.2 Contraction Scour. 18.10.3 Local Scour at Piers. 18.10.4 Live-Bed Scour at Abutments. Appendix A. Newton-Raphson Method. Finding the root for a single nonlinear equation. Application to Solve Manningâ ™s Equation for Normal Depth. Finding the roots of a system of nonlinear equations. Index.
• #10: http://en.wikipedia.org/wiki/Nilometer Nilometer is the name given to one of several devices that are different in design but that all serve the same function: measuring water levels in the River Nile and thus allowing the keeping of comparative historic records. Every summer, torrential rains in the highlands of Ethiopia cause a drastic increase in the volume of water flowing into the Nile from its tributaries. Between June and September, the reaches of the Nile running through Egypt would burst their banks and cover the adjacent flood plain . When the waters receded, around September or October, they left behind a rich alluvial deposit of exceptionally fertile black silt over the croplands. The inundation – akhet in the Egyptian language – was one of the three seasons into which the Ancient Egyptians divided their years. (See Season of the Inundation .) It would be difficult to overstate the importance of the annual flood to Egyptian civilization. A moderate inundation was a vital part of the agricultural cycle; however, a lighter monsoon than normal would cause famine , and too much flood water would be equally disastrous, washing away much of the infrastructure built on the flood plain. Records from Pharaonic times indicate that on average, one year of out every five saw an inundation that was either over-abundant or fell short of expectations. The ability to predict the volume of the coming inundation was part of the mystique of the Ancient Egyptian priesthood . The same skill also played a political and administrative role, since the quality of the year's flood was used to determine the levels of tax to be paid, in kind, by the peasantry to their rulers. This is where the nilometer came into play, with priests monitoring the day-to-day level of the river and announcing the awaited arrival of the summer flood. The simplest nilometer design is a vertical column submerged in the waters of the river, with marked intervals indicating the depth of the water. One that follows this simple design, albeit housed in an elaborate and ornate stone structure, can still be seen on the island of Rodah in central Cairo . While this nilometer dates only as far back as 861 AD, when the Abbasid caliph al-Mutawakkil ordered its construction, it was built on a site occupied by an earlier specimen. The second nilometer design comprises a flight of stairs leading down into the water, with depth markings along the walls. The best known example of this kind can be seen on the island of Elephantine in Aswan . This location was also particularly important, since for much of Egyptian history Elephantine marked Egypt's southern border and was therefore the first place where the onset of the annual flood was detected. The most elaborate design involved a channel or culvert that led from the riverbank – often running for a considerable distance – and then fed a well, tank, or cistern. These nilometer wells were most frequently located within the confines of temples , where only the priests and rulers were allowed access. A particularly fine example, with a deep, cylindrical well and a culvert opening in the surrounding wall, can be seen at the Temple of Kom Ombo to the north of Aswan. While nilometers originated in Pharaonic times, they continued to be used by the later civilizations that held sway in Egypt. In the 20th century , the Nile's annual inundation was first greatly checked, and then eliminated entirely, with the construction of the Aswan dams . While the Aswan High Dam's impact on Egypt and its agriculture has been controversial for other, more complex reasons, it has also had the additional effect of rendering the nilometer obsolete.
• #14: A Plan for a New Science Initiative on the Global Water Cycle Chapter 1. Rationale for the Science Plan Report to the USGCRP from the Water Cycle Study Group,  2001                                                                                                                                                                                                                       [next section] Introduction: The Hydrological Cycle The Earth's climate is unique among the climates of all known planets by the coexistence of water in three physical states -- solid, liquid, and gas. The cycling of water among the three phases is overwhelmingly important for Earth, driving not just the atmospheric general circulation, but also the very existence of life as we know it. The Earth's water cycle can be viewed highly schematically as consisting of five steps. Under suitable conditions, liquid and solid water evaporate from the ocean and land into the atmosphere; water vapor is transported through the atmosphere by winds; water vapor condenses into cloud droplets and crystals; cloud particles aggregate by coalescence and accretion into larger liquid and solid drops that fall as precipitation to the surface; continental rivers, aquifers, and ocean currents transport the water through land and ocean reservoirs. On average, as much water precipitates to Earth's surface as evaporates. On average, as much atmospheric water is transported to continental regions as is discharged by continental rivers and groundwater aquifers back to the oceans. Water plays essential parts in both surface conditions and the atmospheric circulation. The conversion of liquid and solid water to water vapor results in a local latent cooling; without this cooling, the land surface would warm, much like hot pavement or the sand of subtropical deserts. On average, the latent cooling at the Earth's surface is balanced by the latent heat released in the atmosphere when water vapor is converted to liquid and solid cloud droplets and crystals. This transfer of latent energy can be huge; the flux of latent energy in the atmosphere is a major component of the transport of energy from the equator to the poles. In general, latent heat is the principal source of energy that drives cyclogenesis (the formation of low-pressure systems) and sustains weather systems like the convective cells that generate tornadoes and the tropical storms that evolve into hurricanes. Water molecules also have a large impact on Earth's radiation budget. They are strong absorbers of infrared radiation, and the resulting greenhouse effect of atmospheric water vapor is by far the strongest determinant of the Earth's surface climate. Atmospheric humidity is highly variable and responds very sensitively to changes in atmospheric temperature. Thus, atmospheric humidity provides a highly effective feedback mechanism to amplify global climate change induced by other factors. Further, while clouds contribute about 50% of Earth's planetary albedo (reflective power), they also absorb terrestrial radiation as much as all the combined "greenhouse gases" other than water vapor. Radiative heating and cooling are major contributions to the diabatic (heat transfer) processes that cause air parcels to rise or sink in the atmosphere, thereby powering weather systems. The net radiant energy reaching Earth's surface is critical in determining temperature, evapotranspiration, photosynthesis, and the Earth's primary biological productivity. Thus, measuring and forecasting spatial and temporal patterns in water vapor and clouds are essential to address climate, water resources, and ecosystem problems. As water cycles through terrestrial regions, it strongly influences other element cycles, notably those of carbon and nitrogen. Water availability regulates the growth of land plants and thereby the rate of nitrogen uptake and carbon assimilation. Moisture and temperature are the primary variables controlling soil respiration. And water, the "universal solvent," carries nitrogen, carbon and a host of other chemicals over and beneath the Earth's surface to the world oceans. There is growing awareness that nonlinear feedback systems exist between vegetation and climate within the coupled Earth system (e.g., Pielke et al. 1999b). Changes in inland water chemistry are probably also linked to other changes in the global water cycle via complex feedback systems (Vorosmarty and Meybeck 1999). A Global Cycle with Regional and Local Impacts Adequate freshwater supply is critical in maintaining human populations and ecosystems. Any threat to the reliability and sustainability of this supply clearly deserves focused attention. Unfortunately, such threats are now increasing in direct response to human pressures. The demand for water, for example, is undeniably increasing with human population; the world's population (currently about 6 billion) has more than doubled since 1950, and it is likely to increase by an additional 3 billion by 2050 ( United Nations ). Meanwhile, the supply of usable water is decreasing due to pollution and other stresses. Some projections suggest that rapid increases in demand coupled with limited supplies will lead to the development of a global water crisis in a matter of decades, with the precise timing of this crisis point uncertain due to limited knowledge of the world's water resources (Rodda, 1995). On the other hand, too much water over a brief period of time can be a curse. Flooding exacts tremendous economic costs ( Box 1.1 ), and the outlook is for even higher costs as more people move into floodplains and areas vulnerable to hurricanes. Box 1-1 Damage survey in St. Genevieve, Missouri, during the 1993 Midwest floods [courtesy of FEMA]. Floods cause extensive damage: “during 1991-1995, flood related damage totaled more than US$200 billion (not inflation adjusted) globally, representing close to 40% of all economic damage attributed to natural disasters in the period -- (Pielke Jr. and Downton, 2000, citing IFRCRCS, 1997). In the United States, annual flood damage runs in the billions of dollars (Pielke Jr. and Downton, 2000). Improved prediction of floods could reduce these costs substantially, in addition to reducing flood-induced loss of life. Problems of water supply and hydrological extremes tend to manifest themselves at the "local" or "regional" scale. The storm systems that produce damaging floods may be highly concentrated over individual river basins, and a severe drought may span only a few contiguous U.S. states. Nevertheless, addressing such problems scientifically requires a global view of the water cycle -- it is the global water cycle that drives local and regional behavior. A region's drought, for example, may be instigated by remote sea surface temperature anomalies. Locally heavy rains may simply be a local manifestation of a complex, continental-scale atmospheric pattern. The local phenomena that affect local water supply and hydrological extremes -- phenomena with the greatest impact on society and ecosystems -- must be understood in the context of the global system. This scientific understanding can contribute to more effective land and water resource management and hazard mitigation strategies, for example, through improved predictive skill. To date, assessing variability in water resource availability and predicting and mitigating impacts of hydrologic extremes have all been hampered by large uncertainties in our limited understanding of the global scale water cycle. Uncertainties in estimating water storage and fluxes in the cycle's various reservoirs lead to significant errors in quantifying the overall global water balance (Chahine, 1992; Rodda, 1995), including geographical variations of freshwater availability. Our limited understanding of the many physical processes associated with the water cycle (such as rainfall production) has also impeded our ability to model them accurately, and modeling is fundamental to any prediction strategy. For example, although climate models can accurately reproduce some aspects of atmospheric circulation (e.g., atmospheric pressure distributions), they are poor at reproducing variations in the water cycle (variations in, e.g., relative humidity, precipitation, clouds, runoff, and groundwater). General circulation models (GCMs) have difficulty reproducing certain large-scale aspects of precipitation, as was highlighted by recent simulations of El Niño and La Niña oscillations (Soden, 1999, 2000). In short, current scientific understanding of the water cycle is significantly limited by measurement uncertainties and deficiencies in models of the physical system. Of course, addressing these two areas will not solve all of society's water-related problems, because many of these problems stem from inefficient management practices and sociopolitical constraints. Nevertheless, improved scientific understanding is absolutely critical for optimal usage of the resource. Only through such understanding can we quantify and predict variations in the water cycle, variations that can have monumental impacts on terrestrial life. The importance of quantifying and predicting these variations is increasing in the face of growing human demand and stress on the environment -- with or without global climate change. If we are to address these socially critical issues in a timely manner, we must go beyond a piecemeal approach to the required research. The relevant multifaceted and interconnected issues require an integrated research program devoted to improving the quantification and scientific understanding of the water cycle at a broad spectrum of scales (global, regional and local). The program must emphasize studies of the feedback mechanisms among processes acting at the different scales, and it must emphasize the explicit integration of information on global water cycles and global cycles of energy, carbon, and nutrients. This integration is needed to reduce uncertainties in estimating water quantity and quality, water movement, and related impacts on ecosystems. Research must also focus on determining how and to what degree human activities influence the water cycle. All such improved understanding is needed to predict water cycle variations and their long-term resource and ecological consequences. Natural climate variability and human activities have the potential to perturb the fluxes and storages that make up the global water cycle, and these perturbations can have significant societal impacts. For convenience, variability in hydrological processes can be considered through three basic time scales: short-term (weather), seasonal to interannual, and long-term (climate change). The variability associated with each time scale is associated with specific research questions and societal impacts. Short-term variability, often interpreted as "weather," refers to processes spanning minutes to days. Much of the variability at this time scale is induced by chaotic atmospheric dynamics, which prevent the prediction of a given day's weather weeks in advance. Short-term perturbations in the water cycle that affect society include rainstorms and, in the extreme, flood events. Progress on this front requires analyses of controls on such physical processes as vapor transport, cloud formation, rainfall generation, and runoff production. Seasonal to interannual variability occurs over time scales of months to years and, like all variability in the water cycle, is determined in significant part by ocean and land processes and their impacts on the atmosphere. Although the time scale of "memory" in the atmosphere is generally short, random variability or persistent general circulation anomalies (such as blocking) can produce significant seasonal variations. The atmosphere's connection to the land and ocean, each of which is characterized by a much longer memory, can induce droughts and pluvial periods extending over seasons to years, with potentially severe consequences for agriculture and water resources ( Box 1.2 ). The El Niño -- La Niña cycle is the most obvious example of a coupled phenomenon that produces significant seasonal to interannual variability. It is known to influence the global and regional water cycle far from the tropical Pacific where it originates. Research in this area must encompass such land issues as soil moisture physics, groundwater transport, snow processes, organic matter retention, and nutrient fluxes. Box 1-2 Drought near Bracketville, Texas, in 1980 ravaged the landscape, almost drying up this livestock watering pond [from Preparing for Drought in the 21st Century , Report of the National Drought Policy Commission, 2000]. Droughts are expensive -- the 1998 drought from Texas/Oklahoma eastward to the Carolinas resulted in $6.0-$9.0 billion in damages to agriculture and ranching, and damage from the 1988 midwest drought amounted to about $40 billion. Droughts can also have tremendous environmental impacts, such as a loss of biodiversity through degradation of habitats already stressed from human activities, and social impacts, including diminished food availability, compromised water quality, and conflicts around water rights. Paleoclimatic data [Woodhouse and Overpeck, 1998] show that the climate system has generated massive droughts during the last 2000 years that overshadow the great Dust Bowl drought of the 1930's in both duration and spatial extent. Were such a “megadrought -- to occur today -- and we have no way of knowing that it couldn't -- the U.S. would be ill-equipped to respond. Variability on longer time scales reflects shifts in long-term climate that may or may not be human-induced. Much evidence of natural long-term variability is found in paleoclimatic records; paleolimnological records, for example, indicate prolonged drought conditions in the tropics lasting 100 years or more, and equally prolonged periods of very wet conditions (e.g., Street-Perrott, 1995). Historical data suggest that present-day U.S. precipitation is characterized by more higher volume events relative to earlier decades of the 20th century (e.g., Karl and Knight, 1998). Changes in land cover and land use have been extensive in the United States and the rest of the world, and these changes have local, regional, and even global impacts on the hydrological cycle (e.g., Pielke et al., 1999a; Toon, 2000). Some of these changes can be considered permanent, for all practical purposes ( Box 1.3) . According to climate model predictions (IPCC, 1996), the most significant manifestation of CO2-induced global warming would be an intensification of the global water cycle (an increase in global water fluxes), leading to greater global precipitation, faster evaporation, and general exacerbation of extreme weather and hydrological regimes, including floods and droughts. In fact, an increase in atmospheric water vapor would heighten CO2-induced warming because water vapor is itself a strong greenhouse gas. Box 1-3 In the arid and semiarid Southwest, riparian areas associated with streams, rivers, and wetlands occupy a very limited portion of the landscape yet harbor a disproportionately large percentage of the region's biological diversity.  Development of groundwater resources for a growing population and increased irrigated agriculture in the last 50 years has resulted in outright elimination or alteration of many perennial streams and associated riparian ecosystems. The Tucson Basin in southern Arizona provides a vivid example of the impacts of ground-water development on these riparian ecosystems. The repeat photographs of a section of the river south of Tucson near Martinez Hill in 1940 and 1989 illustrate the dramatic impact of lower ground-water levels from pumping on the Santa Cruz riparian system. In the 1940's a vibrant cottonwood/willow forest and mesquite bosque was present. By 1989 the riparian vegetation was virtually eliminated. The changes to the stream are profound and nearly impossible to reverse. Data from two wells near Martinez Hill indicate ground-water level declines of more than 30 meters (100 feet) in the area. The future promises even greater pressure on the region's water supply, not only for riparian preservation, but also for agriculture and support of burgeoning population growth. Courtesy of Stan Leake [USGS, WRD, Tucson, AZ] and Dave Goodrich [USDA-ARS, Tucson, AZ]. What scientific advances are needed to determine whether the global water cycle is intensifying, and if so, how human activities may be causal factors in this trend? Clearly, regardless of origin, long-term changes in the quantity and quality of water available for municipalities, agriculture, and industry can have far-reaching societal impacts. The possibility of such changes clearly has strong implications for water resource planning (e.g., Lettenmaier and Sheer, 1991). Long-term changes in the water cycle will also be strongly coupled to changes in biogeochemical processes in terrestrial and freshwater ecosystems: water is the main transporting medium for organic carbon and major nutrients ( Box 1.4 ); and nutrients influence terrestrial vegetation processes (e.g., Aber, 1999). Important biogeochemical transformations of C and N species occur within terrestrial and aquatic ecosystems. The rates of critical transformations depend on seasonal patterns of the water cycle. Mechanisms underlying changes in the coupled water, C, and N cycles involve interactions among many components of the Earth system, and they must be characterized in greater quantitative detail to be used for evaluating potential societal impacts. Box 1-4   The global water cycle plays a pivotal role in the transport of sediment and nutrients through the earth system, as exemplified in this Landsat 7 image of the North Carolina coast. The image was taken on September 23, 1999, one week after Hurricane Floyd hit the continent. Along with soil swept away by the flood waters, the estuaries were filled with human and animal waste, fertilizers, and pesticides. The slow degradation of the deposited organic waste and soil is expected to worsen greatly the eutrophic conditions in the estuaries as oxygen is depleted and as increased nutrient concentrations stimulate algal blooms. The pulse of organic rich sediments from the flood represents a persistent ecological impact threatening the sport and commercial fisheries in this large productive estuary. (Image by Brian Montgomery, NASA GSFC). Clearly, regardless of origin, long-term changes in the quantity and quality of water available for municipalities, agriculture, and industry can have far-reaching societal impacts. The possibility of such changes clearly has strong implications for water resource planning (e.g., Lettenmaier and Sheer, 1991). Long-term changes in the water cycle will also be strongly coupled to changes in biogeochemical processes in terrestrial and freshwater ecosystems: water is the main transporting medium for organic carbon and major nutrients ( Box 1.4 ); and nutrients influence terrestrial vegetation processes (e.g., Aber, 1999). Important biogeochemical transformations of C and N species occur within terrestrial and aquatic ecosystems. The rates of critical transformations depend on seasonal patterns of the water cycle. Mechanisms underlying changes in the coupled water, C, and N cycles involve interactions among many components of the Earth system, and they must be characterized in greater quantitative detail to be used for evaluating potential societal impacts. The impacts of water cycle variability on human society are very real and are well recognized. The National Drought Policy Commission, for example, charged by Congress to "provide advice and recommendations on the creation of an integrated, coordinated Federal policy designed to prepare for and respond to serious drought emergencies," recently submitted their report. The Commission recognized that droughts will occur and that they will cause hardship. To minimize the adverse impacts, the Commission recommended that scientists work with managers to understand which monitoring, research, data collection, modeling, and other scientific efforts are needed. Society has a vested interest in understanding water cycle variability and in predicting specific variations when possible, so as to minimize supply shortfalls and infrastructure damage. What scientific advances are needed to better predict the effects of land use, vegetation, and cryospheric changes on the cycling of water and important biogeochemical constituents? In the face of increasing water demand and other stresses, traditional strategies for managing water supply, and related agricultural and natural ecosystem issues, are becoming inadequate, and improvements in prediction are becoming critical. Water management in the United States and other nations has traditionally focused on manipulating and safeguarding freshwater supplies to meet users' needs. However, water managers are now faced with increasing demands, increasing development costs, capital shortages, government fiscal restraints, less favorable storage reservoir sites, and increasing environmental concerns. For all these reasons, they are beginning to rethink traditional approaches and to experiment (see USGS web site USGS web site ). Environmental Science & Technology (1999) has reported that global water use efficiency will need to double over the next 25 years if the world's food supply is to keep pace with population. As water resources are more fully exploited throughout the world, precise, reliable, and nontraditional management tools become increasingly necessary. This report does not focus on water management. However, it does focus on the development and use of new scientific methods and results that may greatly improve the efficiency of water management. Such achievements can be particularly high if scientific advances are well coordinated to meet the needs of water, land use, and natural resource management. There will always be a multitude of political and regulatory issues in implementing water management strategies, but they can be much more soundly based. To address issues of wetlands, fisheries, invasive species, and other aquatic biota, good water resource management will depend on better integration of flow regimes and better knowledge of carbon and nutrient cycling and of biotic responses at a range of time scales. Better techniques to assess water quality and quantity are critically needed. Management strategies can have major impacts on both the environment and society, and they need to be adequately assessed. Uncertainties about the water cycle and its connections to carbon and nitrogen cycles limit our ability to make these assessments. One of the most promising scientific approaches for water management is predictive modeling. By capturing the physical mechanisms that control water cycle variability, along with current state of the system, models can predict water cycle variations over a range of time scales, including those variations that affect freshwater supply (e.g., precipitation, runoff, and groundwater levels). Although water managers have recognized the usefulness of predictive modeling for decades, the accuracy of predictions even today is strongly limited. Fundamental limits to predictability (as determined, e.g., by atmospheric chaos) have yet to be ascertained, but they are presumably far from being reached. To attain the predictability possible, enhanced observational databases are needed, both to improve existing model formulations and to initialize model states. Current model resolutions are also generally too coarse due to inadequate computer resources; as the United States develops the next generation of supercomputing resources, the requirements of water cycle simulation and prediction must be included in the planning. Better prediction has clear implications for managing rapidly changing human and ecosystem vulnerabilities to hydrological extremes. The Mississippi floods of 1993, which resulted in large economic losses throughout Midwestern urban and agricultural areas, and the devastation to coastal areas caused by hurricanes Andrew and Floyd are but a few of the recent examples of this vulnerability. Planning for and mitigating the impacts of these hydrologic extremes requires significant improvements in predictive capabilities at all three time scales described above. Our limited understanding of the linkages among the water cycle and other components of the global climate system is a major impediment to improving predictions. New technologies for measuring, modeling, and organizing data on the Earth's water cycle offer the promise of deeper understanding of water- cycle processes and of how management decisions may affect them. It is clearly time to take advantage of these opportunities. Remotely sensed observations of land, ocean, and atmosphere from satellites and suborbital platforms (e.g., aircraft and balloons) provide synoptic, high-resolution coverage that is unprecedented in the geophysical sciences. The new information from these observations may initiate important shifts in the conceptual basis of these sciences, as indicated by Entekhabi et al. (1999) for hydrology. Examples of the burgeoning use of remotely sensed data abound. Improved rainfall estimates are being derived from ground-based radar and from satellite. Satellite estimates of sea surface temperature, height, and winds can help initialize of coupled ocean-atmosphere seasonal forecast models; and satellite estimates of soil moisture may someday initialize the land component of these models. Satellite-based water vapor measurements are assimilated into weather prediction models. Remotely sensed data have been the basis for many of the advances in snow hydrology, allowing the prediction of basin responses to inputs of water, energy, and chemicals (e.g., Bales and Harrington, 1995). Biotic parameters, including land cover (vegetation), extent of riparian wetlands, and in-stream algal and plant growth can all be detected through remote sensing. These examples are not at all comprehensive, of course; the list goes on and on. Remote sensing from satellites can radically improve the usefulness of conventional observation networks, but it cannot replace them. A base of spatially and temporally consistent "ground-truth" data (i.e., data collected by direct measurement to verify that remote sensing data are accurate) is essential for work on the water cycle. Data from networks operated over the long term are essential. Determining variability necessarily involves comparisons of data collected at different times and places, and consistency is essential to ensure that any apparent variability comes from the underlying hydrological variables rather than data collection techniques. The archiving of current observations must be continued; and it must be enhanced where necessary (e.g., certain aspects of archiving of radar rainfall data may need to be improved) to ensure that valuable data are not lost. Existing networks and systems must continue operating to obtain current data that can be compared meaningfully with past records. In addition, existing networks and systems must be expanded spatially to ensure that ground-truth data will be available for calibration and verification of new observational systems, especially remote-sensing systems. Finally, the importance of preserving, maintaining, and expanding the existing base of the auxiliary scientific data and information needed for modeling, process, and budget studies must be recognized. Examples of such auxiliary data include digital elevation models (DEM), hydrologic derivative DEM products like stream-channel networks and drainage-basin boundaries, land use and land cover data, digital orthophotoquads, and satellite imagery . Remote sensing is not the only new technology worthy of mention. Surface and borehole geophysical methods, for example, have led to much improved characterizations of subsurface flow regimes, which had previously been hard to quantify (NRC, 2000). New developments in ground-based instruments, possibly using nanotechnology, might well allow automated measurements in remote locations that could be used to "ground truth" remote-sensing observations. New approaches are being developed and applied to interpret stable water isotopes in terms of water cycle processes (e.g., Kendall and McDonnell, 1998). It is important that this work be integrated with water cycle research. Development must continue on data assimilation methods for weather and climate prediction. They have led to remarkable progress in estimating global water and energy fluxes. Applying the same techniques to hydrology (e.g., McLaughlin, 1995) or biogeochemistry can yield quantitative data for variables that have heretofore been unavailable. Significant progress has been made in validating physical models and in analyzing how calibration can improve their performance (e.g., Wood et al., 1998). Improvements in modeling have also been directed to problems of water management (e.g., Wagner, 1995). What scientific advances are required to substantially reduce the losses and costs of water cycle calamities such as droughts, floods, and coastal eutrophication? Overall, continuing advances in global observation and modeling of the Earth system promise exciting developments in estimating and predicting water fluxes among ocean, atmosphere, land, and cryosphere over a variety of time and space scales. Such achievements can yield large benefits for water, land, and biological resource management, and thus regional economies -- if the information (including related uncertainties) is communicated effectively to decision makers and the public. Various recent predictability studies (e.g., Shukla, 1998) and successful forecasts regarding the 1997 -- 98 El Niño (Barnston et al., 1999; Mason et al., 1999) indicate that scientific advances can certainly have a positive impact on important societal problems. Critical Elements of an Integrated Water Cycle Science Program Recognizing that a new investment in water cycle science is needed, the USGCRP appointed a Water Cycle Study Group (Appendix A) to develop a national research plan for fiscal year 2001 2002 and beyond. Understanding the global water cycle is critical in assessing human, economic, and ecological consequences of global environmental change and/or increasing water demand. "Water is at the heart of both the causes and the effects of climate change. It is essential to establish rates of and possible changes in precipitation, evapotranspiration, and cloud water content. Better time series measurements are needed for water runoff, river flow and the quantities of water involved in various human uses" (NRC, 1998). The pressing needs of water resource sustainability (for both human society and ecosystems) and hydrologic hazard mitigation motivate the research plan presented here. Such a water cycle science program must go beyond simply accelerating research that is now underway. The water-related problems facing society today are too complex for any handful of individual scientists or agencies to manage alone. An unsystematic approach to these problems, carried out with the vague hope that somebody somewhere will fit all the puzzle pieces together, will not be effective. An integrated research plan is essential. The present plan aims at providing an integrated framework to address the numerous, multifaceted aspects of the problem in a coordinated and efficacious way. This program must stress ways of developing scientific knowledge of water and its movement in the Earth system in a manner unconstrained by the traditional disciplines -- atmospheric science, physical oceanography, hydrology, and terrestrial and aquatic ecology -- that have structured our study of water problems to date. The future opportunities and challenges exist across the disciplines, and it is at the boundaries of the traditional disciplines where the new frontiers lie. For instance, hydrologists have extensively studied mechanisms through which precipitation leads to the generation of runoff; but the integrated effects that lead to the dynamics of freshwater delivery to the oceans and the delivery's space-time variability are largely ignored by the oceanographic community. Likewise, hydrologists have not interacted much with the atmospheric sciences community, which has as a central interest in precipitation formation, but generally is much less interested in the space-time variability that controls surface hydr
• #15: A Plan for a New Science Initiative on the Global Water Cycle Chapter 1. Rationale for the Science Plan Report to the USGCRP from the Water Cycle Study Group,  2001                                                                                                                                                                                                                       [next section] Introduction: The Hydrological Cycle The Earth's climate is unique among the climates of all known planets by the coexistence of water in three physical states -- solid, liquid, and gas. The cycling of water among the three phases is overwhelmingly important for Earth, driving not just the atmospheric general circulation, but also the very existence of life as we know it. The Earth's water cycle can be viewed highly schematically as consisting of five steps. Under suitable conditions, liquid and solid water evaporate from the ocean and land into the atmosphere; water vapor is transported through the atmosphere by winds; water vapor condenses into cloud droplets and crystals; cloud particles aggregate by coalescence and accretion into larger liquid and solid drops that fall as precipitation to the surface; continental rivers, aquifers, and ocean currents transport the water through land and ocean reservoirs. On average, as much water precipitates to Earth's surface as evaporates. On average, as much atmospheric water is transported to continental regions as is discharged by continental rivers and groundwater aquifers back to the oceans. Water plays essential parts in both surface conditions and the atmospheric circulation. The conversion of liquid and solid water to water vapor results in a local latent cooling; without this cooling, the land surface would warm, much like hot pavement or the sand of subtropical deserts. On average, the latent cooling at the Earth's surface is balanced by the latent heat released in the atmosphere when water vapor is converted to liquid and solid cloud droplets and crystals. This transfer of latent energy can be huge; the flux of latent energy in the atmosphere is a major component of the transport of energy from the equator to the poles. In general, latent heat is the principal source of energy that drives cyclogenesis (the formation of low-pressure systems) and sustains weather systems like the convective cells that generate tornadoes and the tropical storms that evolve into hurricanes. Water molecules also have a large impact on Earth's radiation budget. They are strong absorbers of infrared radiation, and the resulting greenhouse effect of atmospheric water vapor is by far the strongest determinant of the Earth's surface climate. Atmospheric humidity is highly variable and responds very sensitively to changes in atmospheric temperature. Thus, atmospheric humidity provides a highly effective feedback mechanism to amplify global climate change induced by other factors. Further, while clouds contribute about 50% of Earth's planetary albedo (reflective power), they also absorb terrestrial radiation as much as all the combined "greenhouse gases" other than water vapor. Radiative heating and cooling are major contributions to the diabatic (heat transfer) processes that cause air parcels to rise or sink in the atmosphere, thereby powering weather systems. The net radiant energy reaching Earth's surface is critical in determining temperature, evapotranspiration, photosynthesis, and the Earth's primary biological productivity. Thus, measuring and forecasting spatial and temporal patterns in water vapor and clouds are essential to address climate, water resources, and ecosystem problems. As water cycles through terrestrial regions, it strongly influences other element cycles, notably those of carbon and nitrogen. Water availability regulates the growth of land plants and thereby the rate of nitrogen uptake and carbon assimilation. Moisture and temperature are the primary variables controlling soil respiration. And water, the "universal solvent," carries nitrogen, carbon and a host of other chemicals over and beneath the Earth's surface to the world oceans. There is growing awareness that nonlinear feedback systems exist between vegetation and climate within the coupled Earth system (e.g., Pielke et al. 1999b). Changes in inland water chemistry are probably also linked to other changes in the global water cycle via complex feedback systems (Vorosmarty and Meybeck 1999). A Global Cycle with Regional and Local Impacts Adequate freshwater supply is critical in maintaining human populations and ecosystems. Any threat to the reliability and sustainability of this supply clearly deserves focused attention. Unfortunately, such threats are now increasing in direct response to human pressures. The demand for water, for example, is undeniably increasing with human population; the world's population (currently about 6 billion) has more than doubled since 1950, and it is likely to increase by an additional 3 billion by 2050 ( United Nations ). Meanwhile, the supply of usable water is decreasing due to pollution and other stresses. Some projections suggest that rapid increases in demand coupled with limited supplies will lead to the development of a global water crisis in a matter of decades, with the precise timing of this crisis point uncertain due to limited knowledge of the world's water resources (Rodda, 1995). On the other hand, too much water over a brief period of time can be a curse. Flooding exacts tremendous economic costs ( Box 1.1 ), and the outlook is for even higher costs as more people move into floodplains and areas vulnerable to hurricanes. Box 1-1 Damage survey in St. Genevieve, Missouri, during the 1993 Midwest floods [courtesy of FEMA]. Floods cause extensive damage: “during 1991-1995, flood related damage totaled more than US$200 billion (not inflation adjusted) globally, representing close to 40% of all economic damage attributed to natural disasters in the period -- (Pielke Jr. and Downton, 2000, citing IFRCRCS, 1997). In the United States, annual flood damage runs in the billions of dollars (Pielke Jr. and Downton, 2000). Improved prediction of floods could reduce these costs substantially, in addition to reducing flood-induced loss of life. Problems of water supply and hydrological extremes tend to manifest themselves at the "local" or "regional" scale. The storm systems that produce damaging floods may be highly concentrated over individual river basins, and a severe drought may span only a few contiguous U.S. states. Nevertheless, addressing such problems scientifically requires a global view of the water cycle -- it is the global water cycle that drives local and regional behavior. A region's drought, for example, may be instigated by remote sea surface temperature anomalies. Locally heavy rains may simply be a local manifestation of a complex, continental-scale atmospheric pattern. The local phenomena that affect local water supply and hydrological extremes -- phenomena with the greatest impact on society and ecosystems -- must be understood in the context of the global system. This scientific understanding can contribute to more effective land and water resource management and hazard mitigation strategies, for example, through improved predictive skill. To date, assessing variability in water resource availability and predicting and mitigating impacts of hydrologic extremes have all been hampered by large uncertainties in our limited understanding of the global scale water cycle. Uncertainties in estimating water storage and fluxes in the cycle's various reservoirs lead to significant errors in quantifying the overall global water balance (Chahine, 1992; Rodda, 1995), including geographical variations of freshwater availability. Our limited understanding of the many physical processes associated with the water cycle (such as rainfall production) has also impeded our ability to model them accurately, and modeling is fundamental to any prediction strategy. For example, although climate models can accurately reproduce some aspects of atmospheric circulation (e.g., atmospheric pressure distributions), they are poor at reproducing variations in the water cycle (variations in, e.g., relative humidity, precipitation, clouds, runoff, and groundwater). General circulation models (GCMs) have difficulty reproducing certain large-scale aspects of precipitation, as was highlighted by recent simulations of El Niño and La Niña oscillations (Soden, 1999, 2000). In short, current scientific understanding of the water cycle is significantly limited by measurement uncertainties and deficiencies in models of the physical system. Of course, addressing these two areas will not solve all of society's water-related problems, because many of these problems stem from inefficient management practices and sociopolitical constraints. Nevertheless, improved scientific understanding is absolutely critical for optimal usage of the resource. Only through such understanding can we quantify and predict variations in the water cycle, variations that can have monumental impacts on terrestrial life. The importance of quantifying and predicting these variations is increasing in the face of growing human demand and stress on the environment -- with or without global climate change. If we are to address these socially critical issues in a timely manner, we must go beyond a piecemeal approach to the required research. The relevant multifaceted and interconnected issues require an integrated research program devoted to improving the quantification and scientific understanding of the water cycle at a broad spectrum of scales (global, regional and local). The program must emphasize studies of the feedback mechanisms among processes acting at the different scales, and it must emphasize the explicit integration of information on global water cycles and global cycles of energy, carbon, and nutrients. This integration is needed to reduce uncertainties in estimating water quantity and quality, water movement, and related impacts on ecosystems. Research must also focus on determining how and to what degree human activities influence the water cycle. All such improved understanding is needed to predict water cycle variations and their long-term resource and ecological consequences. Natural climate variability and human activities have the potential to perturb the fluxes and storages that make up the global water cycle, and these perturbations can have significant societal impacts. For convenience, variability in hydrological processes can be considered through three basic time scales: short-term (weather), seasonal to interannual, and long-term (climate change). The variability associated with each time scale is associated with specific research questions and societal impacts. Short-term variability, often interpreted as "weather," refers to processes spanning minutes to days. Much of the variability at this time scale is induced by chaotic atmospheric dynamics, which prevent the prediction of a given day's weather weeks in advance. Short-term perturbations in the water cycle that affect society include rainstorms and, in the extreme, flood events. Progress on this front requires analyses of controls on such physical processes as vapor transport, cloud formation, rainfall generation, and runoff production. Seasonal to interannual variability occurs over time scales of months to years and, like all variability in the water cycle, is determined in significant part by ocean and land processes and their impacts on the atmosphere. Although the time scale of "memory" in the atmosphere is generally short, random variability or persistent general circulation anomalies (such as blocking) can produce significant seasonal variations. The atmosphere's connection to the land and ocean, each of which is characterized by a much longer memory, can induce droughts and pluvial periods extending over seasons to years, with potentially severe consequences for agriculture and water resources ( Box 1.2 ). The El Niño -- La Niña cycle is the most obvious example of a coupled phenomenon that produces significant seasonal to interannual variability. It is known to influence the global and regional water cycle far from the tropical Pacific where it originates. Research in this area must encompass such land issues as soil moisture physics, groundwater transport, snow processes, organic matter retention, and nutrient fluxes. Box 1-2 Drought near Bracketville, Texas, in 1980 ravaged the landscape, almost drying up this livestock watering pond [from Preparing for Drought in the 21st Century , Report of the National Drought Policy Commission, 2000]. Droughts are expensive -- the 1998 drought from Texas/Oklahoma eastward to the Carolinas resulted in $6.0-$9.0 billion in damages to agriculture and ranching, and damage from the 1988 midwest drought amounted to about $40 billion. Droughts can also have tremendous environmental impacts, such as a loss of biodiversity through degradation of habitats already stressed from human activities, and social impacts, including diminished food availability, compromised water quality, and conflicts around water rights. Paleoclimatic data [Woodhouse and Overpeck, 1998] show that the climate system has generated massive droughts during the last 2000 years that overshadow the great Dust Bowl drought of the 1930's in both duration and spatial extent. Were such a “megadrought -- to occur today -- and we have no way of knowing that it couldn't -- the U.S. would be ill-equipped to respond. Variability on longer time scales reflects shifts in long-term climate that may or may not be human-induced. Much evidence of natural long-term variability is found in paleoclimatic records; paleolimnological records, for example, indicate prolonged drought conditions in the tropics lasting 100 years or more, and equally prolonged periods of very wet conditions (e.g., Street-Perrott, 1995). Historical data suggest that present-day U.S. precipitation is characterized by more higher volume events relative to earlier decades of the 20th century (e.g., Karl and Knight, 1998). Changes in land cover and land use have been extensive in the United States and the rest of the world, and these changes have local, regional, and even global impacts on the hydrological cycle (e.g., Pielke et al., 1999a; Toon, 2000). Some of these changes can be considered permanent, for all practical purposes ( Box 1.3) . According to climate model predictions (IPCC, 1996), the most significant manifestation of CO2-induced global warming would be an intensification of the global water cycle (an increase in global water fluxes), leading to greater global precipitation, faster evaporation, and general exacerbation of extreme weather and hydrological regimes, including floods and droughts. In fact, an increase in atmospheric water vapor would heighten CO2-induced warming because water vapor is itself a strong greenhouse gas. Box 1-3 In the arid and semiarid Southwest, riparian areas associated with streams, rivers, and wetlands occupy a very limited portion of the landscape yet harbor a disproportionately large percentage of the region's biological diversity.  Development of groundwater resources for a growing population and increased irrigated agriculture in the last 50 years has resulted in outright elimination or alteration of many perennial streams and associated riparian ecosystems. The Tucson Basin in southern Arizona provides a vivid example of the impacts of ground-water development on these riparian ecosystems. The repeat photographs of a section of the river south of Tucson near Martinez Hill in 1940 and 1989 illustrate the dramatic impact of lower ground-water levels from pumping on the Santa Cruz riparian system. In the 1940's a vibrant cottonwood/willow forest and mesquite bosque was present. By 1989 the riparian vegetation was virtually eliminated. The changes to the stream are profound and nearly impossible to reverse. Data from two wells near Martinez Hill indicate ground-water level declines of more than 30 meters (100 feet) in the area. The future promises even greater pressure on the region's water supply, not only for riparian preservation, but also for agriculture and support of burgeoning population growth. Courtesy of Stan Leake [USGS, WRD, Tucson, AZ] and Dave Goodrich [USDA-ARS, Tucson, AZ]. What scientific advances are needed to determine whether the global water cycle is intensifying, and if so, how human activities may be causal factors in this trend? Clearly, regardless of origin, long-term changes in the quantity and quality of water available for municipalities, agriculture, and industry can have far-reaching societal impacts. The possibility of such changes clearly has strong implications for water resource planning (e.g., Lettenmaier and Sheer, 1991). Long-term changes in the water cycle will also be strongly coupled to changes in biogeochemical processes in terrestrial and freshwater ecosystems: water is the main transporting medium for organic carbon and major nutrients ( Box 1.4 ); and nutrients influence terrestrial vegetation processes (e.g., Aber, 1999). Important biogeochemical transformations of C and N species occur within terrestrial and aquatic ecosystems. The rates of critical transformations depend on seasonal patterns of the water cycle. Mechanisms underlying changes in the coupled water, C, and N cycles involve interactions among many components of the Earth system, and they must be characterized in greater quantitative detail to be used for evaluating potential societal impacts. Box 1-4   The global water cycle plays a pivotal role in the transport of sediment and nutrients through the earth system, as exemplified in this Landsat 7 image of the North Carolina coast. The image was taken on September 23, 1999, one week after Hurricane Floyd hit the continent. Along with soil swept away by the flood waters, the estuaries were filled with human and animal waste, fertilizers, and pesticides. The slow degradation of the deposited organic waste and soil is expected to worsen greatly the eutrophic conditions in the estuaries as oxygen is depleted and as increased nutrient concentrations stimulate algal blooms. The pulse of organic rich sediments from the flood represents a persistent ecological impact threatening the sport and commercial fisheries in this large productive estuary. (Image by Brian Montgomery, NASA GSFC). Clearly, regardless of origin, long-term changes in the quantity and quality of water available for municipalities, agriculture, and industry can have far-reaching societal impacts. The possibility of such changes clearly has strong implications for water resource planning (e.g., Lettenmaier and Sheer, 1991). Long-term changes in the water cycle will also be strongly coupled to changes in biogeochemical processes in terrestrial and freshwater ecosystems: water is the main transporting medium for organic carbon and major nutrients ( Box 1.4 ); and nutrients influence terrestrial vegetation processes (e.g., Aber, 1999). Important biogeochemical transformations of C and N species occur within terrestrial and aquatic ecosystems. The rates of critical transformations depend on seasonal patterns of the water cycle. Mechanisms underlying changes in the coupled water, C, and N cycles involve interactions among many components of the Earth system, and they must be characterized in greater quantitative detail to be used for evaluating potential societal impacts. The impacts of water cycle variability on human society are very real and are well recognized. The National Drought Policy Commission, for example, charged by Congress to "provide advice and recommendations on the creation of an integrated, coordinated Federal policy designed to prepare for and respond to serious drought emergencies," recently submitted their report. The Commission recognized that droughts will occur and that they will cause hardship. To minimize the adverse impacts, the Commission recommended that scientists work with managers to understand which monitoring, research, data collection, modeling, and other scientific efforts are needed. Society has a vested interest in understanding water cycle variability and in predicting specific variations when possible, so as to minimize supply shortfalls and infrastructure damage. What scientific advances are needed to better predict the effects of land use, vegetation, and cryospheric changes on the cycling of water and important biogeochemical constituents? In the face of increasing water demand and other stresses, traditional strategies for managing water supply, and related agricultural and natural ecosystem issues, are becoming inadequate, and improvements in prediction are becoming critical. Water management in the United States and other nations has traditionally focused on manipulating and safeguarding freshwater supplies to meet users' needs. However, water managers are now faced with increasing demands, increasing development costs, capital shortages, government fiscal restraints, less favorable storage reservoir sites, and increasing environmental concerns. For all these reasons, they are beginning to rethink traditional approaches and to experiment (see USGS web site USGS web site ). Environmental Science & Technology (1999) has reported that global water use efficiency will need to double over the next 25 years if the world's food supply is to keep pace with population. As water resources are more fully exploited throughout the world, precise, reliable, and nontraditional management tools become increasingly necessary. This report does not focus on water management. However, it does focus on the development and use of new scientific methods and results that may greatly improve the efficiency of water management. Such achievements can be particularly high if scientific advances are well coordinated to meet the needs of water, land use, and natural resource management. There will always be a multitude of political and regulatory issues in implementing water management strategies, but they can be much more soundly based. To address issues of wetlands, fisheries, invasive species, and other aquatic biota, good water resource management will depend on better integration of flow regimes and better knowledge of carbon and nutrient cycling and of biotic responses at a range of time scales. Better techniques to assess water quality and quantity are critically needed. Management strategies can have major impacts on both the environment and society, and they need to be adequately assessed. Uncertainties about the water cycle and its connections to carbon and nitrogen cycles limit our ability to make these assessments. One of the most promising scientific approaches for water management is predictive modeling. By capturing the physical mechanisms that control water cycle variability, along with current state of the system, models can predict water cycle variations over a range of time scales, including those variations that affect freshwater supply (e.g., precipitation, runoff, and groundwater levels). Although water managers have recognized the usefulness of predictive modeling for decades, the accuracy of predictions even today is strongly limited. Fundamental limits to predictability (as determined, e.g., by atmospheric chaos) have yet to be ascertained, but they are presumably far from being reached. To attain the predictability possible, enhanced observational databases are needed, both to improve existing model formulations and to initialize model states. Current model resolutions are also generally too coarse due to inadequate computer resources; as the United States develops the next generation of supercomputing resources, the requirements of water cycle simulation and prediction must be included in the planning. Better prediction has clear implications for managing rapidly changing human and ecosystem vulnerabilities to hydrological extremes. The Mississippi floods of 1993, which resulted in large economic losses throughout Midwestern urban and agricultural areas, and the devastation to coastal areas caused by hurricanes Andrew and Floyd are but a few of the recent examples of this vulnerability. Planning for and mitigating the impacts of these hydrologic extremes requires significant improvements in predictive capabilities at all three time scales described above. Our limited understanding of the linkages among the water cycle and other components of the global climate system is a major impediment to improving predictions. New technologies for measuring, modeling, and organizing data on the Earth's water cycle offer the promise of deeper understanding of water- cycle processes and of how management decisions may affect them. It is clearly time to take advantage of these opportunities. Remotely sensed observations of land, ocean, and atmosphere from satellites and suborbital platforms (e.g., aircraft and balloons) provide synoptic, high-resolution coverage that is unprecedented in the geophysical sciences. The new information from these observations may initiate important shifts in the conceptual basis of these sciences, as indicated by Entekhabi et al. (1999) for hydrology. Examples of the burgeoning use of remotely sensed data abound. Improved rainfall estimates are being derived from ground-based radar and from satellite. Satellite estimates of sea surface temperature, height, and winds can help initialize of coupled ocean-atmosphere seasonal forecast models; and satellite estimates of soil moisture may someday initialize the land component of these models. Satellite-based water vapor measurements are assimilated into weather prediction models. Remotely sensed data have been the basis for many of the advances in snow hydrology, allowing the prediction of basin responses to inputs of water, energy, and chemicals (e.g., Bales and Harrington, 1995). Biotic parameters, including land cover (vegetation), extent of riparian wetlands, and in-stream algal and plant growth can all be detected through remote sensing. These examples are not at all comprehensive, of course; the list goes on and on. Remote sensing from satellites can radically improve the usefulness of conventional observation networks, but it cannot replace them. A base of spatially and temporally consistent "ground-truth" data (i.e., data collected by direct measurement to verify that remote sensing data are accurate) is essential for work on the water cycle. Data from networks operated over the long term are essential. Determining variability necessarily involves comparisons of data collected at different times and places, and consistency is essential to ensure that any apparent variability comes from the underlying hydrological variables rather than data collection techniques. The archiving of current observations must be continued; and it must be enhanced where necessary (e.g., certain aspects of archiving of radar rainfall data may need to be improved) to ensure that valuable data are not lost. Existing networks and systems must continue operating to obtain current data that can be compared meaningfully with past records. In addition, existing networks and systems must be expanded spatially to ensure that ground-truth data will be available for calibration and verification of new observational systems, especially remote-sensing systems. Finally, the importance of preserving, maintaining, and expanding the existing base of the auxiliary scientific data and information needed for modeling, process, and budget studies must be recognized. Examples of such auxiliary data include digital elevation models (DEM), hydrologic derivative DEM products like stream-channel networks and drainage-basin boundaries, land use and land cover data, digital orthophotoquads, and satellite imagery . Remote sensing is not the only new technology worthy of mention. Surface and borehole geophysical methods, for example, have led to much improved characterizations of subsurface flow regimes, which had previously been hard to quantify (NRC, 2000). New developments in ground-based instruments, possibly using nanotechnology, might well allow automated measurements in remote locations that could be used to "ground truth" remote-sensing observations. New approaches are being developed and applied to interpret stable water isotopes in terms of water cycle processes (e.g., Kendall and McDonnell, 1998). It is important that this work be integrated with water cycle research. Development must continue on data assimilation methods for weather and climate prediction. They have led to remarkable progress in estimating global water and energy fluxes. Applying the same techniques to hydrology (e.g., McLaughlin, 1995) or biogeochemistry can yield quantitative data for variables that have heretofore been unavailable. Significant progress has been made in validating physical models and in analyzing how calibration can improve their performance (e.g., Wood et al., 1998). Improvements in modeling have also been directed to problems of water management (e.g., Wagner, 1995). What scientific advances are required to substantially reduce the losses and costs of water cycle calamities such as droughts, floods, and coastal eutrophication? Overall, continuing advances in global observation and modeling of the Earth system promise exciting developments in estimating and predicting water fluxes among ocean, atmosphere, land, and cryosphere over a variety of time and space scales. Such achievements can yield large benefits for water, land, and biological resource management, and thus regional economies -- if the information (including related uncertainties) is communicated effectively to decision makers and the public. Various recent predictability studies (e.g., Shukla, 1998) and successful forecasts regarding the 1997 -- 98 El Niño (Barnston et al., 1999; Mason et al., 1999) indicate that scientific advances can certainly have a positive impact on important societal problems. Critical Elements of an Integrated Water Cycle Science Program Recognizing that a new investment in water cycle science is needed, the USGCRP appointed a Water Cycle Study Group (Appendix A) to develop a national research plan for fiscal year 2001 2002 and beyond. Understanding the global water cycle is critical in assessing human, economic, and ecological consequences of global environmental change and/or increasing water demand. "Water is at the heart of both the causes and the effects of climate change. It is essential to establish rates of and possible changes in precipitation, evapotranspiration, and cloud water content. Better time series measurements are needed for water runoff, river flow and the quantities of water involved in various human uses" (NRC, 1998). The pressing needs of water resource sustainability (for both human society and ecosystems) and hydrologic hazard mitigation motivate the research plan presented here. Such a water cycle science program must go beyond simply accelerating research that is now underway. The water-related problems facing society today are too complex for any handful of individual scientists or agencies to manage alone. An unsystematic approach to these problems, carried out with the vague hope that somebody somewhere will fit all the puzzle pieces together, will not be effective. An integrated research plan is essential. The present plan aims at providing an integrated framework to address the numerous, multifaceted aspects of the problem in a coordinated and efficacious way. This program must stress ways of developing scientific knowledge of water and its movement in the Earth system in a manner unconstrained by the traditional disciplines -- atmospheric science, physical oceanography, hydrology, and terrestrial and aquatic ecology -- that have structured our study of water problems to date. The future opportunities and challenges exist across the disciplines, and it is at the boundaries of the traditional disciplines where the new frontiers lie. For instance, hydrologists have extensively studied mechanisms through which precipitation leads to the generation of runoff; but the integrated effects that lead to the dynamics of freshwater delivery to the oceans and the delivery's space-time variability are largely ignored by the oceanographic community. Likewise, hydrologists have not interacted much with the atmospheric sciences community, which has as a central interest in precipitation formation, but generally is much less interested in the space-time variability that controls surface hydr
• #17: http://www.usgcrp.gov/usgcrp/Library/watercycle/wcsgreport2001/wcsg2001chapter1.htm
• #18: http://www.usgcrp.gov/usgcrp/Library/watercycle/wcsgreport2001/wcsg2001chapter1.htm In the arid and semiarid Southwest, riparian areas associated with streams, rivers, and wetlands occupy a very limited portion of the landscape yet harbor a disproportionately large percentage of the region's biological diversity.  Development of groundwater resources for a growing population and increased irrigated agriculture in the last 50 years has resulted in outright elimination or alteration of many perennial streams and associated riparian ecosystems. The Tucson Basin in southern Arizona provides a vivid example of the impacts of ground-water development on these riparian ecosystems. The repeat photographs of a section of the river south of Tucson near Martinez Hill in 1940 and 1989 illustrate the dramatic impact of lower ground-water levels from pumping on the Santa Cruz riparian system. In the 1940's a vibrant cottonwood/willow forest and mesquite bosque was present. By 1989 the riparian vegetation was virtually eliminated. The changes to the stream are profound and nearly impossible to reverse. Data from two wells near Martinez Hill indicate ground-water level declines of more than 30 meters (100 feet) in the area. The future promises even greater pressure on the region's water supply, not only for riparian preservation, but also for agriculture and support of burgeoning population growth. Courtesy of Stan Leake [USGS, WRD, Tucson, AZ] and Dave Goodrich [USDA-ARS, Tucson, AZ].
• #22: Limitations of this figure include that it shows only country wide averages, thus hifding a lot of areas that actually suffer from water scarcity. One example is the southwestern US.
• #31: Dublin Statements and Principles In commending this Dublin Statement to the world leaders assembled at the United Nations Conference on Environment and Development (UNCED) in Rio de Janeiro in June 1992, the Conference participants urge all governments to study carefully the specific activities and means of implementation recommended in the Conference Report, and to translate those recommendations into urgent action programmes for water and sustainable developement. GUIDING PRINCIPLES Concerted action is needed to reverse the present trends of overconsumption, pollution, and rising threats from drought and floods. The Conference Report sets out recommendations for action at local, national and international levels, based on four guiding principles. Principle No. 1 - Fresh water is a finite and vulnerable resource, essential to sustain life, development and the environment Since water sustains life, effective management of water resources demands a holistic approach, linking social and economic development with protection of natural ecosystems. Effective management links land and water uses across the whole of a catchment area or groundwater aquifer. Principle No. 2 - Water development and management should be based on a participatory approach, involving users, planners and policy-makers at all levels The participatory approach involves raising awareness of the importance of water among policy-makers and the general public. It means that decisions are taken at the lowest appropriate level, with full public consultation and involvement of users in the planning and implementation of water projects. Principle No. 3 - Women play a central part in the provision, management and safeguarding of water This pivotal role of women as providers and users of water and guardians of the living environment has seldom been reflected in institutional arrangements for the development and management of water resources. Acceptance and implementation of this principle requires positive policies to address women?s specific needs and to equip and empower women to participate at all levels in water resources programmes, including decision-making and implementation, in ways defined by them. Principle No. 4 - Water has an economic value in all its competing uses and should be recognized as an economic good Within this principle, it is vital to recognize first the basic right of all human beings to have access to clean water and sanitation at an affordable price. Past failure to recognize the economic value of water has led to wasteful and environmentally damaging uses of the resource. Managing water as an economic good is an important way of achieving efficient and equitable use, and of encouraging conservation and protection of water resources.