create a website

A Coupled Model for Forecasting Spatiotemporal Variability of Regional Drought in the Mu Us Sandy Land Using a Meta-Heuristic Algorithm. (2024). Liu, Jin ; Wang, Ying ; Zheng, Hexiang ; Hou, Hongfei ; Tong, Changfu.
In: Land.
RePEc:gam:jlands:v:13:y:2024:i:11:p:1731-:d:1504228.

Full description at Econpapers || Download paper

Cited: 0

Citations received by this document

Cites: 67

References cited by this document

Cocites: 24

Documents which have cited the same bibliography

Coauthors: 0

Authors who have wrote about the same topic

Citations

Citations received by this document

    This document has not been cited yet.

References

References cited by this document

  1. Abd Elaziz, M.; Lu, S.; He, S. A multi-leader whale optimization algorithm for global optimization and image segmentation. Expert Syst. Appl. 2021, 175, 114841. [CrossRef]
    Paper not yet in RePEc: Add citation now
  2. Aghelpour, P.; Bahrami-Pichaghchi, H.; Varshavian, V. Hydrological drought forecasting using multi-scalar streamflow drought index, stochastic models and machine learning approaches, in northern Iran. Stoch. Environ. Res. Risk Assess. 2021, 35, 1615–1635. [CrossRef]
    Paper not yet in RePEc: Add citation now
  3. Bian, Z.; Roujean, J.L.; Fan, T.; Dong, Y.; Hu, T.; Cao, B.; Li, H.; Du, Y.; Xiao, Q.; Liu, Q. An angular normalization method for temperature vegetation dryness index (TVDI) in monitoring agricultural drought. Remote Sens. Environ. 2023, 284, 113330.
    Paper not yet in RePEc: Add citation now
  4. Blum, C. Ant colony optimization: Introduction and recent trends. Phys. Life Rev. 2005, 2, 353–373.
    Paper not yet in RePEc: Add citation now
  5. Brodzicki, A.; Piekarski, M.; Jaworek-Korjakowska, J. The whale optimization algorithm approach for deep neural networks. Sensors 2021, 21, 8003. [CrossRef] Land 2024, 13, 1731 22 of 22
    Paper not yet in RePEc: Add citation now
  6. Chakraborty, S.; Saha, A.K.; Sharma, S.; Chakraborty, R.; Debnath, S. A hybrid whale optimization algorithm for global optimization. J. Ambient. Intell. Humaniz. Comput. 2023, 14, 431–467. [CrossRef]
    Paper not yet in RePEc: Add citation now
  7. Chakraborty, S.; Sharma, S.; Saha, A.K.; Chakraborty, S. SHADE–WOA: A metaheuristic algorithm for global optimization. Appl. Soft Comput. 2021, 113, 107866. [CrossRef]
    Paper not yet in RePEc: Add citation now
  8. Chen, S.; Huang, J.; Wang, P.; Tang, X.; Zhang, Z. A coupled model to improve river water quality prediction towards addressing non-stationarity and data limitation. Water Res. 2024, 248, 120895. [CrossRef]
    Paper not yet in RePEc: Add citation now

  9. Couceiro, M.; Ghamisi, P.; Couceiro, M.; Ghamisi, P. Particle Swarm Optimization; Springer International Publishing: Berlin/Heidelberg, Germany, 2016; pp. 1–10.

  10. Dai, X.; Yi, K.; Wang, F.; Cai, C.; Tang, W. Bearing fault diagnosis based on POA-VMD with GADF-Swin Transformer transfer learning network. Measurement 2024, 238, 115328.
    Paper not yet in RePEc: Add citation now
  11. Deng, H.; Liu, L.; Fang, J.; Qu, B.; Huang, Q. A novel improved whale optimization algorithm for optimization problems with multi-strategy and hybrid algorithm. Math. Comput. Simul. 2023, 205, 794–817. [CrossRef]
    Paper not yet in RePEc: Add citation now
  12. Ding, Y.; Xu, J.; Wang, X.; Peng, X.; Cai, H. Spatial and temporal effects of drought on Chinese vegetation under different coverage levels. Sci. Total Environ. 2020, 716, 137166. [PubMed]
    Paper not yet in RePEc: Add citation now
  13. Dorigo, M.; Birattari, M.; Stutzle, T. Ant colony optimization. IEEE Comput. Intell. Mag. 2006, 1, 28–39.
    Paper not yet in RePEc: Add citation now
  14. Fan, Q.; Yu, F.; Xuan, M. Transformer fault diagnosis method based on improved whale optimization algorithm to optimize support vector machine. Energy Rep. 2021, 7, 856–866.
    Paper not yet in RePEc: Add citation now

  15. Feng, P.; Wang, B.; Li Liu, D.; Yu, Q. Machine learning-based integration of remotely-sensed drought factors can improve the estimation of agricultural drought in South-Eastern Australia. Agric. Syst. 2019, 173, 303–316.

  16. Fidanova, S.; Fidanova, S. Ant colony optimization. In Ant Colony Optimization and Applications; Springer: Berlin/Heidelberg, Germany, 2021; pp. 3–8.
    Paper not yet in RePEc: Add citation now
  17. Guan, S.; Yang, H.; Wu, T. Transformer fault diagnosis method based on TLR-ADASYN balanced dataset. Sci. Rep. 2023, 13,
    Paper not yet in RePEc: Add citation now
  18. Han, H.; Bai, J.; Yan, J.; Yang, H.; Ma, G. A combined drought monitoring index based on multi-sensor remote sensing data and machine learning. Geocarto Int. 2021, 36, 1161–1177.
    Paper not yet in RePEc: Add citation now
  19. Hassib, E.M.; El-Desouky, A.I.; Labib, L.M.; El-Kenawy, E.S.M. WOA+ BRNN: An imbalanced big data classification framework using Whale optimization and deep neural network. Soft Comput. 2020, 24, 5573–5592. [CrossRef]
    Paper not yet in RePEc: Add citation now
  20. Hemasian-Etefagh, F.; Safi-Esfahani, F. Group-based whale optimization algorithm. Soft Comput. 2020, 24, 3647–3673. [CrossRef]
    Paper not yet in RePEc: Add citation now
  21. Hou, H.; Li, R.; Zheng, H.; Tong, C.; Wang, J.; Lu, H.; Wang, G.; Qin, Z.; Wang, W. Regional NDVI Attribution Analysis and Trend Prediction Based on the Informer Model: A Case Study of the Maowusu Sandland. Agronomy 2023, 13, 2882. [CrossRef]
    Paper not yet in RePEc: Add citation now
  22. Hu, Q.; Hu, H.X.; Lin, Z.Z.; Chen, Z.H.; Zhang, Y. A decision-making method for reservoir operation schemes based on deep learning and whale optimization algorithm. Front. Plant Sci. 2023, 14, 1102855. [CrossRef]
    Paper not yet in RePEc: Add citation now
  23. Hussain, N.; Khan, M.A.; Kadry, S.; Tariq, U.; Mostafa, R.R.; Choi, J.I.; Nam, Y. Intelligent deep learning and improved whale optimization algorithm based framework for object recognition. Hum. Cent. Comput. Inf. Sci. 2021, 11, 2021.
    Paper not yet in RePEc: Add citation now
  24. Hussien, A.G.; Hassanien, A.E.; Houssein, E.H.; Amin, M.; Azar, A.T. New binary whale optimization algorithm for discrete optimization problems. Eng. Optim. 2020, 52, 945–959. [CrossRef]
    Paper not yet in RePEc: Add citation now
  25. Ibrahim, A.; El-kenawy ES, M.; Khodadadi, N.; Eid, M.M.; Abdelhamid, A.A. Guided whale optimization algorithm (guided WOA) with its application. In Handbook of Whale Optimization Algorithm; Academic Press: Cambridge, MA, USA, 2024; pp. 243–251.
    Paper not yet in RePEc: Add citation now
  26. Jadhav, A.S.; Patil, P.B.; Biradar, S. Optimal feature selection-based diabetic retinopathy detection using improved rider optimization algorithm enabled with deep learning. Evol. Intell. 2021, 14, 1431–1448. [CrossRef]
    Paper not yet in RePEc: Add citation now
  27. Jha, S.; Das, J.; Sharma, A.; Hazra, B.; Goyal, M.K. Probabilistic evaluation of vegetation drought likelihood and its implications to resilience across India. Glob. Planet. Chang. 2019, 176, 23–35.
    Paper not yet in RePEc: Add citation now
  28. Ji, C.; Zhang, C.; Hua, L.; Ma, H.; Nazir, M.S.; Peng, T. A multi-scale evolutionary deep learning model based on CEEMDAN, improved whale optimization algorithm, regularized extreme learning machine and LSTM for AQI prediction. Environ. Res. 2022, 215, 114228. [CrossRef]
    Paper not yet in RePEc: Add citation now

  29. Ji, X.; Yang, J.; Liu, J.; Du, X.; Zhang, W.; Liu, J.; Li, G.; Guo, J. Analysis of Spatial-Temporal Changes and Driving Forces of Desertification in the Mu Us Sandy Land from 1991 to 2021. Sustainability 2023, 15, 10399. [CrossRef]

  30. Jiang, C.; Zhu, Q. Evaluating the most significant input parameters for forecasting global solar radiation of different sequences based on Informer. Appl. Energy 2023, 348, 121544. [CrossRef]

  31. Kafy, A.A.; Bakshi, A.; Saha, M.; Al Faisal, A.; Almulhim, A.I.; Rahaman, Z.A.; Mohammad, P. Assessment and prediction of index based agricultural drought vulnerability using machine learning algorithms. Sci. Total Environ. 2023, 867, 161394.
    Paper not yet in RePEc: Add citation now
  32. Kennedy, J.; Eberhart, R. Particle swarm optimization. In Proceedings of the ICNN’95-International Conference on Neural Networks, Perth, WA, Australia, 27 November–1 December 1995; Volume 4, pp. 1942–1948.
    Paper not yet in RePEc: Add citation now
  33. Khan, R.; Gilani, H. Global drought monitoring with drought severity index (DSI) using Google Earth Engine. Theor. Appl. Climatol. 2021, 146, 411–427. [CrossRef]
    Paper not yet in RePEc: Add citation now
  34. Li, M.W.; Xu, D.Y.; Geng, J.; Hong, W.C. A ship motion forecasting approach based on empirical mode decomposition method hybrid deep learning network and quantum butterfly optimization algorithm. Nonlinear Dyn. 2022, 107, 2447–2467.
    Paper not yet in RePEc: Add citation now
  35. Liu, C.; Fan, H.; Jiang, Y.; Ma, R.; Song, S. Gully erosion susceptibility assessment based on machine learning-A case study of watersheds in Tuquan County in the black soil region of Northeast China. Catena 2023, 222, 106798.
    Paper not yet in RePEc: Add citation now
  36. Liu, L.; Zhang, R. Multistrategy improved whale optimization algorithm and its application. Comput. Intell. Neurosci. 2022, 2022,
    Paper not yet in RePEc: Add citation now
  37. Mirjalili, S.; Lewis, A. The whale optimization algorithm. Adv. Eng. Softw. 2016, 95, 51–67.
    Paper not yet in RePEc: Add citation now
  38. Mirjalili, S.; Mirjalili, S. Genetic algorithm. In Evolutionary Algorithms and Neural Networks: Theory and Applications; Springer: Berlin/Heidelberg, Germany, 2019; pp. 43–55.
    Paper not yet in RePEc: Add citation now
  39. Moravec, D.; Komárek, J.; López-Cuervo Medina, S.; Molina, I. Effect of atmospheric corrections on NDVI: Intercomparability of Landsat 8, Sentinel-2, and UAV sensors. Remote Sens. 2021, 13, 3550. [CrossRef]
    Paper not yet in RePEc: Add citation now

  40. Piri, J.; Abdolahipour, M.; Keshtegar, B. Advanced machine learning model for prediction of drought indices using hybrid SVR-RSM. Water Resour. Manag. 2023, 37, 683–712.

  41. Rana, N.; Latiff MS, A.; Abdulhamid SI, M.; Chiroma, H. Whale optimization algorithm: A systematic review of contemporary applications, modifications and developments. Neural Comput. Appl. 2020, 32, 16245–16277.
    Paper not yet in RePEc: Add citation now
  42. Rousta, I.; Olafsson, H.; Moniruzzaman, M.; Zhang, H.; Liou, Y.A.; Mushore, T.D.; Gupta, A. Impacts of drought on vegetation assessed by vegetation indices and meteorological factors in Afghanistan. Remote Sens. 2020, 12, 2433. [CrossRef]
    Paper not yet in RePEc: Add citation now
  43. Roy, B.; Sagan, V.; Haireti, A.; Newcomb, M.; Tuberosa, R.; LeBauer, D.; Shakoor, N. Early Detection of Drought Stress in Durum Wheat Using Hyperspectral Imaging and Photosystem Sensing. Remote Sens. 2023, 16, 155. [CrossRef]
    Paper not yet in RePEc: Add citation now
  44. Shami, T.M.; El-Saleh, A.A.; Alswaitti, M.; Al-Tashi, Q.; Summakieh, M.A.; Mirjalili, S. Particle swarm optimization: A comprehensive survey. IEEE Access 2022, 10, 10031–10061. Land 2024, 13, 1731 21 of 22
    Paper not yet in RePEc: Add citation now
  45. Sharma AB HI SH, E.K.; Sharma, A.; Choudhary, S.; Pachauri, R.K.; Shrivastava, A.; Kumar, D. A review on artificial bee colony and it’s engineering applications. J. Crit. Rev. 2020, 7, 4097–4107.
    Paper not yet in RePEc: Add citation now
  46. Shrestha, A.; Mahmood, A. Review of deep learning algorithms and architectures. IEEE Access 2019, 7, 53040–53065.
    Paper not yet in RePEc: Add citation now
  47. Slowik, A.; Kwasnicka, H. Evolutionary algorithms and their applications to engineering problems. Neural Comput. Appl. 2020, 32, 12363–12379.
    Paper not yet in RePEc: Add citation now
  48. Toren, M. Optimization of transformer parameters at distribution and power levels with hybrid Grey wolf-whale optimization algorithm. Eng. Sci. Technol. Int. J. 2023, 43, 101439.
    Paper not yet in RePEc: Add citation now
  49. Tyagi, S.; Zhang, X.; Saraswat, D.; Sahany, S.; Mishra, S.K.; Niyogi, D. Flash drought: Review of concept, prediction and the potential for machine learning, deep learning methods. Earth’s Future 2022, 10, e2022EF002723.
    Paper not yet in RePEc: Add citation now
  50. Wang, B.; Zhao, H.; Wang, X.; Lyu, G.; Chen, K.; Xu, J.; Cui, G.; Zhong, L.; Yu, L.; Huang, H.; et al. Bamboo classification based on GEDI, time-series Sentinel-2 images and whale-optimized, dual-channel DenseNet: A case study in Zhejiang province, China. ISPRS J. Photogramm. Remote Sens. 2024, 209, 312–323. [CrossRef]
    Paper not yet in RePEc: Add citation now
  51. Wang, D.; Tan, D.; Liu, L. Particle swarm optimization algorithm: An overview. Soft Comput. 2018, 22, 387–408.
    Paper not yet in RePEc: Add citation now
  52. Wang, H.K.; Song, K.; Cheng, Y. A hybrid forecasting model based on CNN and informer for short-term wind power. Front. Energy Res. 2022, 9, 788320. [CrossRef]
    Paper not yet in RePEc: Add citation now
  53. Wei, H.; Wang, W.S.; Kao, X.X. A novel approach to ultra-short-term wind power prediction based on feature engineering and informer. Energy Rep. 2023, 9, 1236–1250. [CrossRef]
    Paper not yet in RePEc: Add citation now
  54. Wu, Z.; Zhang, Z.; Zheng, L.; Yan, T.; Tang, C. The Denoising Method for Transformer Partial Discharge Based on the Whale VMD Algorithm Combined with Adaptive Filtering and Wavelet Thresholding. Sensors 2023, 23, 8085. [CrossRef]
    Paper not yet in RePEc: Add citation now
  55. Xinxin, W.; Xiaopan, S.; Xueyi, A.; Shijia, L. Short-term wind speed forecasting based on a hybrid model of ICEEMDAN, MFE, LSTM and informer. PLoS ONE 2023, 18, e0289161. [CrossRef] [PubMed]
    Paper not yet in RePEc: Add citation now
  56. Xue, Z.; Yi, X.; Feng, W.; Kong, L.; Wu, M. Prediction and mapping of soil thickness in alpine canyon regions based on whale optimization algorithm optimized random forest: A case study of Baihetan Reservoir area in China. Comput. Geosci. 2024, 191,
    Paper not yet in RePEc: Add citation now

  57. Yan, Z.; Zhang, J.; Zeng, J.; Tang, J. Nature-inspired approach: An enhanced whale optimization algorithm for global optimization. Math. Comput. Simul. 2021, 185, 17–46. [CrossRef]

  58. Yang, P.; Wang, T.; Yang, H.; Meng, C.; Zhang, H.; Cheng, L. The performance of electronic current transformer fault diagnosis model: Using an improved whale optimization algorithm and RBF neural network. Electronics 2023, 12, 1066. [CrossRef]
    Paper not yet in RePEc: Add citation now
  59. Yang, W.; Xia, K.; Fan, S.; Wang, L.; Li, T.; Zhang, J.; Feng, Y. A multi-strategy whale optimization algorithm and its application. Eng. Appl. Artif. Intell. 2022, 108, 104558. [CrossRef]
    Paper not yet in RePEc: Add citation now
  60. Ye, H.; Zhu, Q.; Zhang, X. Short-Term Load Forecasting for Residential Buildings Based on Multivariate Variational Mode Decomposition and Temporal Fusion Transformer. Energies 2024, 17, 3061. [CrossRef]
    Paper not yet in RePEc: Add citation now
  61. Yoon, D.H.; Nam, W.H.; Lee, H.J.; Hong, E.M.; Kim, T. Drought hazard assessment using MODIS-based Evaporative Stress Index (ESI) and ROC analysis. J. Korean Soc. Agric. Eng. 2020, 62, 51–61.
    Paper not yet in RePEc: Add citation now
  62. Zhang, J. Gradient descent based optimization algorithms for deep learning models training. arXiv 2019, arXiv:1903.03614.
    Paper not yet in RePEc: Add citation now
  63. Zheng, H.; Hou, H.; Li, R.; Tong, C. Trend Prediction of Vegetation and Drought by Informer Model Based on STL-EMD Decomposition of Ha Cai Tou Dang Water Source Area in the Maowusu Sandland. Agronomy 2024, 14, 708. [CrossRef]
    Paper not yet in RePEc: Add citation now
  64. Zheng, Y.; Dong, L.; Xia, Q.; Liang, C.; Wang, L.; Shao, Y. Effects of revegetation on climate in the Mu Us Sandy Land of China. Sci. Total Environ. 2020, 739, 139958. [PubMed]
    Paper not yet in RePEc: Add citation now
  65. Zhou, H.; Zhang, S.; Peng, J.; Zhang, S.; Li, J.; Xiong, H.; Zhang, W. Informer: Beyond efficient transformer for long sequence time-series forecasting. In Proceedings of the AAAI Conference on Artificial Intelligence, Virtually, 2–9 February 2021; Volume 35, pp. 11106–11115.
    Paper not yet in RePEc: Add citation now
  66. Zhou, J.; Zhu, S.; Qiu, Y.; Armaghani, D.J.; Zhou, A.; Yong, W. Predicting tunnel squeezing using support vector machine optimized by whale optimization algorithm. Acta Geotech. 2022, 17, 1343–1366. [CrossRef]
    Paper not yet in RePEc: Add citation now
  67. Zhou, Y.; Yang, X.; Tao, L.; Yang, L. Transformer fault diagnosis model based on improved gray wolf optimizer and probabilistic neural network. Energies 2021, 14, 3029. [CrossRef]
    Paper not yet in RePEc: Add citation now

Cocites

Documents in RePEc which have cited the same bibliography

  1. Prediction of drought-flood prone zones in inland mountainous regions under climate change with assessment and enhancement strategies for disaster resilience in high-standard farmland. (2025). Wei, Yuehan ; Jia, Yikun ; Shen, Yanli ; Liu, Zhenghao ; Guo, Qingxia.
    In: Agricultural Water Management.
    RePEc:eee:agiwat:v:309:y:2025:i:c:s0378377425000630.

    Full description at Econpapers || Download paper

  2. A novel agricultural drought index based on multi-source remote sensing data and interpretable machine learning. (2025). Chen, Tan ; Deng, Shulin ; Yang, NI ; Song, Xuanhua ; Lu, Chunhua.
    In: Agricultural Water Management.
    RePEc:eee:agiwat:v:308:y:2025:i:c:s0378377425000174.

    Full description at Econpapers || Download paper

  3. Agricultural GDP exposure to drought and its machine learning-based prediction in the Jialing River Basin, China. (2025). Lin, Qingxia ; Wang, Xinzhi ; Zhang, Shinan ; Liu, JI ; Wu, Zhiyong.
    In: Agricultural Water Management.
    RePEc:eee:agiwat:v:307:y:2025:i:c:s0378377424006012.

    Full description at Econpapers || Download paper

  4. Modeling agricultural drought based on the earth observation-derived standardized precipitation evapotranspiration index and vegetation health index in the northeastern highlands of Ethiopia. (2024). Chere, Zerihun ; Debalke, Dereje Biru.
    In: Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards.
    RePEc:spr:nathaz:v:120:y:2024:i:3:d:10.1007_s11069-023-06320-3.

    Full description at Econpapers || Download paper

  5. A Coupled Model for Forecasting Spatiotemporal Variability of Regional Drought in the Mu Us Sandy Land Using a Meta-Heuristic Algorithm. (2024). Liu, Jin ; Wang, Ying ; Zheng, Hexiang ; Hou, Hongfei ; Tong, Changfu.
    In: Land.
    RePEc:gam:jlands:v:13:y:2024:i:11:p:1731-:d:1504228.

    Full description at Econpapers || Download paper

  6. Assessing Meteorological Drought Patterns and Forecasting Accuracy with SPI and SPEI Using Machine Learning Models. (2024). Kalra, Ajay ; Banjara, Mandip ; Dahal, Dewasis ; Poudel, Bishal.
    In: Forecasting.
    RePEc:gam:jforec:v:6:y:2024:i:4:p:51-1044:d:1520848.

    Full description at Econpapers || Download paper

  7. Meteorological and Agricultural Drought Risk Assessment via Kaplan–Meier Survivability Estimator. (2024). Gunacti, Mert Can ; Cetinkaya, Cem Polat.
    In: Agriculture.
    RePEc:gam:jagris:v:14:y:2024:i:3:p:503-:d:1360531.

    Full description at Econpapers || Download paper

  8. Optimizing drip irrigation managements to improve alfalfa seed yield in semiarid region. (2024). Jia, Shangang ; Mao, Peisheng ; Sun, Ming ; Wang, Juan ; Ou, Chengming ; Li, Changran ; Zhao, Yihong.
    In: Agricultural Water Management.
    RePEc:eee:agiwat:v:297:y:2024:i:c:s0378377424001653.

    Full description at Econpapers || Download paper

  9. Leveraging multisource data for accurate agricultural drought monitoring: A hybrid deep learning model. (2024). Ji, Xuan ; Xiao, Xin ; Ming, Wenting ; Yang, Pengwu ; Li, Meng ; Luo, Xuan.
    In: Agricultural Water Management.
    RePEc:eee:agiwat:v:293:y:2024:i:c:s0378377424000271.

    Full description at Econpapers || Download paper

  10. Techniques used to predict climate risks: a brief literature survey. (2023). Cirstea, Silvia ; Nanwani, Ruchika ; Hasan, Md Mahmudul.
    In: Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards.
    RePEc:spr:nathaz:v:118:y:2023:i:2:d:10.1007_s11069-023-06046-2.

    Full description at Econpapers || Download paper

  11. China can be self-sufficient in maize production by 2030 with optimal crop management. (2023). Feng, Puyu ; Wang, PU ; Luo, Ning ; Li, DE ; Muller, Christoph ; Qu, Ziren ; Yu, Yonghong ; Meng, Qingfeng.
    In: Nature Communications.
    RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-38355-2.

    Full description at Econpapers || Download paper

  12. Agricultural Drought Risk Assessment Based on a Comprehensive Model Using Geospatial Techniques in Songnen Plain, China. (2023). Chen, Yuxin ; Zhang, Ying ; Zhao, Yafang ; Yu, Rui ; Gao, Fengjie.
    In: Land.
    RePEc:gam:jlands:v:12:y:2023:i:6:p:1184-:d:1163994.

    Full description at Econpapers || Download paper

  13. Impact of Agricultural Drought on Barley and Wheat Yield: A Comparative Case Study of Spain and Germany. (2023). Benito-Verdugo, Pilar ; Almendra-Martin, Laura ; Martinez-Fernandez, Jose ; Gaona, Jaime ; Herrero-Jimenez, Carlos Miguel ; Gonzalez-Zamora, Angel.
    In: Agriculture.
    RePEc:gam:jagris:v:13:y:2023:i:11:p:2111-:d:1275773.

    Full description at Econpapers || Download paper

  14. Evaluating established deep learning methods in constructing integrated remote sensing drought index: A case study in China. (2023). Xu, Zhenheng ; Zhang, Tian ; Gao, Jinhua ; Sun, Hao ; Wu, Dan.
    In: Agricultural Water Management.
    RePEc:eee:agiwat:v:286:y:2023:i:c:s0378377423002706.

    Full description at Econpapers || Download paper

  15. Drought disaster monitoring and land use dynamics: identification of drought drivers using regression-based algorithms. (2022). Ololade, Olusola O ; Belle, Johanes A ; Orimoloye, Israel R ; Pande, Chaitanya B ; Olusola, Adeyemi O.
    In: Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards.
    RePEc:spr:nathaz:v:112:y:2022:i:2:d:10.1007_s11069-022-05219-9.

    Full description at Econpapers || Download paper

  16. Long-term variability in atmospheric moisture transport and relationship with heavy precipitation in the eastern USA. (2022). Teale, Natalie ; Robinson, David A.
    In: Climatic Change.
    RePEc:spr:climat:v:175:y:2022:i:1:d:10.1007_s10584-022-03455-3.

    Full description at Econpapers || Download paper

  17. A damage-based crop insurance system for flash flooding: a satellite remote sensing and econometric approach. (2022). Ahamed, Tofael ; Matsushita, Shusuke ; Noguchi, Ryozo ; Islam, Md Monirul.
    In: Asia-Pacific Journal of Regional Science.
    RePEc:spr:apjors:v:6:y:2022:i:1:d:10.1007_s41685-021-00220-9.

    Full description at Econpapers || Download paper

  18. Predicting Modified Fournier Index by Using Artificial Neural Network in Central Europe. (2022). Ratonyi, Tamas ; Mohammed, Safwan ; Ul, Muhammad Farhan ; Takacs, Istvan ; Alsilibe, Firas ; Harsanyi, Endre ; Bashir, Bashar ; Nyeki, Aniko ; Szeles, Adrienn ; Alsalman, Abdullah.
    In: IJERPH.
    RePEc:gam:jijerp:v:19:y:2022:i:17:p:10653-:d:899038.

    Full description at Econpapers || Download paper

  19. Analytical stability analysis of the fractional-order particle swarm optimization algorithm. (2022). Abedi, Seyed Mehdi ; Tenreiro, J A ; Alfi, Alireza.
    In: Chaos, Solitons & Fractals.
    RePEc:eee:chsofr:v:155:y:2022:i:c:s0960077921010122.

    Full description at Econpapers || Download paper

  20. Development of Bio-Inspired- and Wavelet-Based Hybrid Models for Reconnaissance Drought Index Modeling. (2021). Mehdizadeh, Saeid ; Ahmadi, Farshad ; Mohammadi, Babak.
    In: Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA).
    RePEc:spr:waterr:v:35:y:2021:i:12:d:10.1007_s11269-021-02934-z.

    Full description at Econpapers || Download paper

  21. Assessment of regional drought vulnerability and risk using principal component analysis and a Gaussian mixture model. (2021). Kim, Tae-Woong ; Lee, Joo-Heon ; Yu, Jisoo ; Ryu, Jae-Hee.
    In: Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards.
    RePEc:spr:nathaz:v:109:y:2021:i:1:d:10.1007_s11069-021-04854-y.

    Full description at Econpapers || Download paper

  22. Drought prediction using in situ and remote sensing products with SVM over the Xiang River Basin, China. (2021). Xu, Yue-Ping ; Tian, YE ; Zhu, Qian ; Wang, Guoqing ; Zhou, Dongyang ; Luo, Yulin.
    In: Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards.
    RePEc:spr:nathaz:v:105:y:2021:i:2:d:10.1007_s11069-020-04394-x.

    Full description at Econpapers || Download paper

  23. Short-term forecasting of natural gas prices by using a novel hybrid method based on a combination of the CEEMDAN-SE-and the PSO-ALS-optimized GRU network. (2021). Yuan, Shan ; Cheng, Ming ; Cao, Junxing ; Wang, Jun.
    In: Energy.
    RePEc:eee:energy:v:233:y:2021:i:c:s036054422101330x.

    Full description at Econpapers || Download paper

  24. Limitations of Water Resources to Crop Water Requirement in the Irrigation Districts along the Lower Reach of the Yellow River in China. (2019). Hao, Xiuping ; Li, Qingyun ; Liu, Lei ; Ma, Jianqin.
    In: Sustainability.
    RePEc:gam:jsusta:v:11:y:2019:i:17:p:4680-:d:261648.

    Full description at Econpapers || Download paper

Coauthors

Authors registered in RePEc who have wrote about the same topic

Report date: 2025-10-01 04:43:18 || Missing content? Let us know

CitEc is a RePEc service, providing citation data for Economics since 2001. Last updated August, 3 2024. Contact: Jose Manuel Barrueco.