Influence of groundwater on the propagation of meteorological drought to agricultural drought during crop growth periods: A case study in Huaibei Plain

被引:0
|
作者
Xu, Yingying [1 ]
Lu, Haishen [2 ]
Yagci, Ali Levent [3 ]
Zhu, Yonghua [4 ]
Liu, Di [1 ]
Wang, Qimeng [1 ]
Xu, Haiting [1 ]
Pan, Ying [1 ]
Su, Jianbin [5 ]
机构
[1] Hohai Univ, Coll Hydrol & Water Resources, Natl Key Lab Water Disaster Prevent, Nanjing 210098, Jiangsu, Peoples R China
[2] Hohai Univ, Joint Int Res Lab Global Change & Water Cycle, Nanjing 210098, Peoples R China
[3] Gebze Tech Univ, Geomat Engn Dept, TR-41400 Kocaeli, Turkiye
[4] Hohai Univ, Coll Geog & Remote Sensing, Nanjing 210098, Jiangsu, Peoples R China
[5] Chinese Acad Sci, Inst Tibetan Plateau Res, Natl Tibetan Plateau Data Ctr, Key Lab Tibetan Environm Changes & Land Surface Pr, Beijing 100101, Peoples R China
基金
中国国家自然科学基金;
关键词
Drought propagation; Groundwater level; Agricultural drought; Crop growth stages; Drought translation rate; SOIL-MOISTURE; CLIMATE-CHANGE; HYDROLOGICAL DROUGHTS; IMPACTS; CHINA; YIELD; MODEL; TIME;
D O I
10.1016/j.agwat.2024.109122
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Groundwater plays a key role in regulating the transition from meteorological droughts (MD) to agricultural droughts (AD), though its specific influence during crop growth remains unclear. In this study, daily effective root zone soil moisture and annual yield for winter wheat and summer maize were simulated using Aquacrop model under four scenarios: Scenario 1 (groundwater level at 1 m depth), Scenario 2 (groundwater level at 2 m depth), Scenario 3 (groundwater level at 3 m depth), and Scenario 4 (groundwater level at 4 m depth). Based on the simulated data, the propagation probabilities, propagation times (PT), translation rates of drought events, and changes in drought characteristics under the four scenarios were calculated, revealing the specific impact of groundwater levels on the propagation from MD to AD. The results indicated that (1) the probability of drought propagation increased with either a decrease in the groundwater level or an increase in the MD severity. Notably, a decrease in groundwater level from 1 m to 2 m depth results in a substantial rise in propagation probability, with an average increase of 114.0 % and 118.9 % for winter wheat and summer maize, respectively. (2) PT was shortened by 2-4 days for each 1 m drop in the groundwater level. When the severity of MD intensified from severe to extreme, the PT was shortened by an average of 8 days and 10 days during the phenological stages of summer maize and winter wheat, respectively. Both crops exhibited shorter PTs during the emergence, grouting, and maturity stages, and longer PTs during the tillering and heading stages. (3) Overall, the decline of groundwater levels accelerates the translation rate of drought events. In addition, longer and stronger drought characteristics were observed especially at low levels of groundwater. (4) The optimal groundwater level was found to be about 1 m and 2 m for winter wheat and summer maize in the Huaibei Plain, respectively. These findings provide valuable insights for enhancing drought resilience and optimizing irrigation and groundwater management in the Huaibei Plain.
引用
收藏
页数:21
相关论文
共 50 条
  • [41] Impact of spate irrigation of flood waters on agricultural drought and groundwater recharge: case of Sidi Bouzid plain, Central Tunisia
    Hamdi Monji
    Louati Dhouha
    Majdoub Rajouene
    Abida Habib
    Arabian Journal of Geosciences, 2016, 9
  • [42] Assessment of Agricultural Drought Indicators Impact on Soybean Crop Yield: A Case Study in Iowa, USA
    Huang, Youxin
    Liu, Xiuguo
    Shen, Yonglin
    Jin, JiangFeng
    THIRD INTERNATIONAL CONFERENCE ON AGRO-GEOINFORMATICS (AGRO-GEOINFORMATICS 2014), 2014, : 32 - 37
  • [43] Agricultural Drought Assessment in a Typical Plain Region Based on Coupled Hydrology-Crop Growth Model and Remote Sensing Data
    Zhang, Yuliang
    Wu, Zhiyong
    Singh, Vijay P.
    Jin, Juliang
    Zhou, Yuliang
    Xu, Shiqin
    Li, Lei
    REMOTE SENSING, 2022, 14 (23)
  • [44] Toward a Redefinition of Agricultural Drought Periods-A Case Study in a Mediterranean Semi-Arid Region
    Oukaddour, Kaoutar
    Le Page, Michel
    Fakir, Younes
    REMOTE SENSING, 2024, 16 (01)
  • [45] Joint analysis of drought and heat events during maize (Zea mays L.) growth periods using copula and cloud models: A case study of Songliao Plain
    Guo, Ying
    Lu, Xiaoling
    Zhang, Jiquan
    Li, Kaiwei
    Wang, Rui
    Rong, Guangzhi
    Liu, Xingpeng
    Tong, Zhijun
    AGRICULTURAL WATER MANAGEMENT, 2022, 259
  • [46] An analysis of groundwater drought in combination with meteorological droughts. Case study of the Gwda River catchment (northern Poland)
    Kubiak-wojcicka, Katarzyna
    Jamorska, Izabela
    ACTA MONTANISTICA SLOVACA, 2022, 27 (03) : 667 - 684
  • [47] Risk assessment of agricultural drought using the CERES-Wheat model: a case study of Henan Plain, China
    Zhao, Haiyan
    Gao, Ge
    Yan, Xiaodong
    Zhang, Qiang
    Hou, Meiting
    Zhu, Yeyu
    Tian, Zhan
    CLIMATE RESEARCH, 2011, 50 (2-3) : 247 - 256
  • [48] A modified soil water deficit index (MSWDI) for agricultural drought monitoring: Case study of Songnen Plain, China
    Yang, Huicai
    Wang, Huixiao
    Fu, Guobin
    Yan, Haiming
    Zhao, Panpan
    Ma, Meihong
    AGRICULTURAL WATER MANAGEMENT, 2017, 194 : 125 - 138
  • [49] Exploration of copula function use in crop meteorological drought risk analysis: a case study of winter wheat in Beijing, China
    Ying Li
    Wei Gu
    Weijia Cui
    Zhiyun Chang
    Yingjun Xu
    Natural Hazards, 2015, 77 : 1289 - 1303
  • [50] Exploration of copula function use in crop meteorological drought risk analysis: a case study of winter wheat in Beijing, China
    Li, Ying
    Gu, Wei
    Cui, Weijia
    Chang, Zhiyun
    Xu, Yingjun
    NATURAL HAZARDS, 2015, 77 (02) : 1289 - 1303