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Assessing agricultural drought risk and its dynamic evolution characteristics

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  1. Samantaray, Alok Kumar & Ramadas, Meenu & Panda, Rabindra Kumar, 2022. "Changes in drought characteristics based on rainfall pattern drought index and the CMIP6 multi-model ensemble," Agricultural Water Management, Elsevier, vol. 266(C).
  2. Hakan Aydin & Kasim Yenigun & Oznur Isinkaralar & Kaan Isinkaralar, 2025. "Hydrological low flow and overlapped trend analysis for drought assessment in Western Black Sea Basin," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 121(2), pages 1833-1863, January.
  3. Pan, Ying & Zhu, Yonghua & Lü, Haishen & Yagci, Ali Levent & Fu, Xiaolei & Liu, En & Xu, Haiting & Ding, Zhenzhou & Liu, Ruoyu, 2023. "Accuracy of agricultural drought indices and analysis of agricultural drought characteristics in China between 2000 and 2019," Agricultural Water Management, Elsevier, vol. 283(C).
  4. Zhang, Yitong & Hao, Zengchao & Zhang, Yu, 2023. "Agricultural risk assessment of compound dry and hot events in China," Agricultural Water Management, Elsevier, vol. 277(C).
  5. Wei Shangguan & Ruqing Zhang & Lu Li & Shulei Zhang & Ye Zhang & Feini Huang & Jianduo Li & Wei Liu, 2022. "Assessment of Agricultural Drought Based on Reanalysis Soil Moisture in Southern China," Land, MDPI, vol. 11(4), pages 1-16, March.
  6. Wei Pei & Lei Hao & Qiang Fu & Yongtai Ren & Tianxiao Li, 2023. "Study on Agricultural Drought Risk Assessment Based on Information Entropy and a Cluster Projection Pursuit Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(2), pages 619-638, January.
  7. Yaxu Wang & Juan Lv & Hongquan Sun & Huiqiang Zuo & Hui Gao & Yanping Qu & Zhicheng Su & Xiaojing Yang & Jianming Yin, 2022. "Dynamic agricultural drought risk assessment for maize using weather generator and APSIM crop models," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(3), pages 3083-3100, December.
  8. Bambo Bayo & Shakeel Mahmood, 2023. "Geo-spatial analysis of drought in The Gambia using multiple models," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 117(3), pages 2751-2770, July.
  9. Omidreza Mikaili & Majid Rahimzadegan, 2022. "Investigating remote sensing indices to monitor drought impacts on a local scale (case study: Fars province, Iran)," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 111(3), pages 2511-2529, April.
  10. Farzaneh Imani Buzhani & Maryam Kiani Sadr & Soheil Sobhanardakani & Bahareh Lorestani & Mehrdad Cheraghi, 2024. "Remote sensing assessment of multi-year drought vulnerability of agriculture in Kangavar, Kermanshah Province, Western Iran," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(4), pages 3865-3890, March.
  11. Huang, Wenhuan & Wang, Hailong, 2021. "Drought and intensified agriculture enhanced vegetation growth in the central Pearl River Basin of China," Agricultural Water Management, Elsevier, vol. 256(C).
  12. Mingcong Lv & Zhongmei Wang, 2024. "Research on Meteorological Drought Risk Prediction in the Daqing River Basin Based on HADGEM3-RA," Agriculture, MDPI, vol. 14(10), pages 1-20, October.
  13. Xiao, Xin & Ming, Wenting & Luo, Xuan & Yang, Luyi & Li, Meng & Yang, Pengwu & Ji, Xuan & Li, Yungang, 2024. "Leveraging multisource data for accurate agricultural drought monitoring: A hybrid deep learning model," Agricultural Water Management, Elsevier, vol. 293(C).
  14. Abiodun A. Ogundeji & Collins C. Okolie, 2022. "Perception and Adaptation Strategies of Smallholder Farmers to Drought Risk: A Scientometric Analysis," Agriculture, MDPI, vol. 12(8), pages 1-18, July.
  15. Xu, Yang & Zhang, Xuan & Hao, Zengchao & Hao, Fanghua & Li, Chong, 2021. "Projections of future meteorological droughts in China under CMIP6 from a three‐dimensional perspective," Agricultural Water Management, Elsevier, vol. 252(C).
  16. Tuan Minh Cao & Sang Hyeon Lee & Ji Yong Lee, 2023. "The Impact of Natural Disasters and Pest Infestations on Technical Efficiency in Rice Production: A Study in Vietnam," Sustainability, MDPI, vol. 15(15), pages 1-16, July.
  17. Zhang, Yu & Hao, Zengchao & Feng, Sifang & Zhang, Xuan & Xu, Yang & Hao, Fanghua, 2021. "Agricultural drought prediction in China based on drought propagation and large-scale drivers," Agricultural Water Management, Elsevier, vol. 255(C).
  18. Sandra Ricart & Rubén A. Villar-Navascués & Maria Hernández-Hernández & Antonio M. Rico-Amorós & Jorge Olcina-Cantos & Enrique Moltó-Mantero, 2021. "Extending Natural Limits to Address Water Scarcity? The Role of Non-Conventional Water Fluxes in Climate Change Adaptation Capacity: A Review," Sustainability, MDPI, vol. 13(5), pages 1-31, February.
  19. Cem Polat Cetinkaya & Mert Can Gunacti, 2024. "Meteorological and Agricultural Drought Risk Assessment via Kaplan–Meier Survivability Estimator," Agriculture, MDPI, vol. 14(3), pages 1-15, March.
  20. Chong Du & Jiashuo Chen & Tangzhe Nie & Changlei Dai, 2022. "Spatial–temporal changes in meteorological and agricultural droughts in Northeast China: change patterns, response relationships and causes," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 110(1), pages 155-173, January.
  21. Zhou, Keke & Li, Jianzhu & Zhang, Ting & Kang, Aiqing, 2021. "The use of combined soil moisture data to characterize agricultural drought conditions and the relationship among different drought types in China," Agricultural Water Management, Elsevier, vol. 243(C).
  22. Israel R. Orimoloye & Adeyemi O. Olusola & Johanes A. Belle & Chaitanya B. Pande & Olusola O. Ololade, 2022. "Drought disaster monitoring and land use dynamics: identification of drought drivers using regression-based algorithms," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 112(2), pages 1085-1106, June.
  23. Chen, Hao & Yang, Ni & Song, Xuanhua & Lu, Chunhua & Lu, Menglan & Chen, Tan & Deng, Shulin, 2025. "A novel agricultural drought index based on multi-source remote sensing data and interpretable machine learning," Agricultural Water Management, Elsevier, vol. 308(C).
  24. Hua Yang & Jun He & Zhinong Li & Yufang Su & Jianchu Xu, 2024. "Ethnic diversity and divergent perceptions of climate change: a case study in Southwest China," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
  25. Xiong, Yanfei & Zhang, Anlu & Liu, Mengba & Zhang, Xue & Cheng, Qi, 2024. "Drought risk assessment for citrus and its mitigation resistance under climate change and crop specialization: A case study of southern Jiangxi, China," Agricultural Water Management, Elsevier, vol. 306(C).
  26. Tao He & Wenya Zhang & Hanwen Zhang & Jinliang Sheng, 2023. "Estimation of Manure Emissions Issued from Different Chinese Livestock Species: Potential of Future Production," Agriculture, MDPI, vol. 13(11), pages 1-17, November.
  27. Wang, Shuliang & Gu, Xifeng & Luan, Shengyang & Zhao, Mingwei, 2021. "Resilience analysis of interdependent critical infrastructure systems considering deep learning and network theory," International Journal of Critical Infrastructure Protection, Elsevier, vol. 35(C).
  28. Zhang, Q. & Li, Y.P. & Huang, G.H. & Wang, H. & Li, Y.F. & Shen, Z.Y., 2024. "Multivariate time series convolutional neural networks for long-term agricultural drought prediction under global warming," Agricultural Water Management, Elsevier, vol. 292(C).
  29. Cui, Yi & Zhou, Yuliang & Jin, Juliang & Jiang, Shangming & Wu, Chengguo & Ning, Shaowei, 2023. "Spatiotemporal characteristics and obstacle factors identification of agricultural drought disaster risk: A case study across Anhui Province, China," Agricultural Water Management, Elsevier, vol. 289(C).
  30. Abdol Rassoul Zarei & Mohammad Mehdi Moghimi & Elham Koohi, 2021. "Sensitivity Assessment to the Occurrence of Different Types of Droughts Using GIS and AHP Techniques," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(11), pages 3593-3615, September.
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