IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v277y2023ics0378377422006461.html
   My bibliography  Save this article

Influence of irrigation and groundwater on the propagation of meteorological drought to agricultural drought

Author

Listed:
  • Fawen, Li
  • Manjing, Zhang
  • Yong, Zhao
  • Rengui, Jiang

Abstract

Research on drought propagation is of great significance for the scientific prediction of agricultural drought and reducing drought losses. In this study, based on the daily scale standardized precipitation evapotranspiration index (SPEI) and soil water deficit index (SWDI), the effects of irrigation and groundwater level change on the development and spread of drought were studied, and the dynamic change in the spread time from meteorological drought to agricultural drought was explored through a sliding window. Additionally, the critical value of the response of agricultural drought to meteorological drought was calculated. The results indicated that (1) under Scenario-1 (groundwater depth 19.4 m, no irrigation), Scenario-2 (groundwater depth 2 m, no irrigation), and Scenario-3 (groundwater depth 19.4 m, irrigation), the lag times of agricultural drought on meteorological drought were 23 d, 42 d, and 30 d, respectively. (2) The drought propagation time under Scenario-1 and 2 exhibited a significant upwards trend. According to the factor contribution rate and cross-wavelet analysis, the rising trend of the Arctic Oscillation (AO) and the decreasing trend of the Pacific Decade Oscillation (PDO) led to the shortening of sunshine duration, which was the key reason for the extension of drought propagation time. (3) Under Scenario-1, the critical values of the agricultural drought response to meteorological drought duration and intensity were 4.9 and 0.9, respectively. Under Scenario-2, the critical values increased to 5.1 and 2.0, revealing that the propagation of meteorological drought to agricultural drought would slow down when groundwater rose to an appropriate position.

Suggested Citation

  • Fawen, Li & Manjing, Zhang & Yong, Zhao & Rengui, Jiang, 2023. "Influence of irrigation and groundwater on the propagation of meteorological drought to agricultural drought," Agricultural Water Management, Elsevier, vol. 277(C).
    • Handle: RePEc:eee:agiwat:v:277:y:2023:i:c:s0378377422006461
    DOI: 10.1016/j.agwat.2022.108099
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377422006461
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2022.108099?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Delgoda, Dilini & Saleem, Syed K. & Malano, Hector & Halgamuge, Malka N., 2016. "Root zone soil moisture prediction models based on system identification: Formulation of the theory and validation using field and AQUACROP data," Agricultural Water Management, Elsevier, vol. 163(C), pages 344-353.
    2. Huang, Shengzhi & Huang, Qiang & Chang, Jianxia & Leng, Guoyong & Xing, Li, 2015. "The response of agricultural drought to meteorological drought and the influencing factors: A case study in the Wei River Basin, China," Agricultural Water Management, Elsevier, vol. 159(C), pages 45-54.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Huazhu Xue & Ruirui Zhang & Wenfei Luan & Zhanliang Yuan, 2024. "The Spatiotemporal Variations in and Propagation of Meteorological, Agricultural, and Groundwater Droughts in Henan Province, China," Agriculture, MDPI, vol. 14(10), pages 1-28, October.
    2. Zhang, Tao & Qiu, Rangjian & Ding, Risheng & Wu, Jingwei & Clothier, Brent, 2023. "Multi-scale spectral characteristics of latent heat flux over flooded rice and winter wheat rotation system," Agricultural Water Management, Elsevier, vol. 288(C).
    3. Kheyruri, Yusef & Sharafati, Ahmad & Neshat, Aminreza, 2023. "The socioeconomic impact of severe droughts on agricultural lands over different provinces of Iran," Agricultural Water Management, Elsevier, vol. 289(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Imran Ali Lakhiar & Haofang Yan & Chuan Zhang & Guoqing Wang & Bin He & Beibei Hao & Yujing Han & Biyu Wang & Rongxuan Bao & Tabinda Naz Syed & Junaid Nawaz Chauhdary & Md. Rakibuzzaman, 2024. "A Review of Precision Irrigation Water-Saving Technology under Changing Climate for Enhancing Water Use Efficiency, Crop Yield, and Environmental Footprints," Agriculture, MDPI, vol. 14(7), pages 1-40, July.
    2. Wang, Fei & Lai, Hexin & Li, Yanbin & Feng, Kai & Zhang, Zezhong & Tian, Qingqing & Zhu, Xiaomeng & Yang, Haibo, 2022. "Dynamic variation of meteorological drought and its relationships with agricultural drought across China," Agricultural Water Management, Elsevier, vol. 261(C).
    3. 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).
    4. Cai, Siyang & Zuo, Depeng & Wang, Huixiao & Xu, Zongxue & Wang, GuoQing & Yang, Hong, 2023. "Assessment of agricultural drought based on multi-source remote sensing data in a major grain producing area of Northwest China," Agricultural Water Management, Elsevier, vol. 278(C).
    5. Li, Liang & Peng, Qing & Wang, Maodong & Cao, Yuxin & Gu, Xiaobo & Cai, Huanjie, 2024. "Quantitative analysis of vegetation drought propagation process and uncertainty in the Yellow River Basin," Agricultural Water Management, Elsevier, vol. 295(C).
    6. Muhammad Nouman Sattar & Jin-Young Lee & Ji-Yae Shin & Tae-Woong Kim, 2019. "Probabilistic Characteristics of Drought Propagation from Meteorological to Hydrological Drought in South Korea," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(7), pages 2439-2452, May.
    7. Yeqing Zhai & Jie Liang & Zhenyu An & Xin Li & Ziqian Zhu & Wanting Wang & Yuru Yi & Suhang Yang, 2022. "Data Stream Approach for Exploration of Droughts and Floods Driving Forces in the Dongting Lake Wetland," Sustainability, MDPI, vol. 14(24), pages 1-17, December.
    8. Dai, Meng & Huang, Shengzhi & Huang, Qiang & Leng, Guoyong & Guo, Yi & Wang, Lu & Fang, Wei & Li, Pei & Zheng, Xudong, 2020. "Assessing agricultural drought risk and its dynamic evolution characteristics," Agricultural Water Management, Elsevier, vol. 231(C).
    9. Huazhu Xue & Ruirui Zhang & Wenfei Luan & Zhanliang Yuan, 2024. "The Spatiotemporal Variations in and Propagation of Meteorological, Agricultural, and Groundwater Droughts in Henan Province, China," Agriculture, MDPI, vol. 14(10), pages 1-28, October.
    10. Ahmed A. Abdelmoneim & Roula Khadra & Angela Elkamouh & Bilal Derardja & Giovanna Dragonetti, 2023. "Towards Affordable Precision Irrigation: An Experimental Comparison of Weather-Based and Soil Water Potential-Based Irrigation Using Low-Cost IoT-Tensiometers on Drip Irrigated Lettuce," Sustainability, MDPI, vol. 16(1), pages 1-15, December.
    11. Li, Yifei & Huang, Shengzhi & Wang, Hanye & Zheng, Xudong & Huang, Qiang & Deng, Mingjiang & Peng, Jian, 2022. "High-resolution propagation time from meteorological to agricultural drought at multiple levels and spatiotemporal scales," Agricultural Water Management, Elsevier, vol. 262(C).
    12. Małgorzata Biniak-Pieróg & Mieczysław Chalfen & Andrzej Żyromski & Andrzej Doroszewski & Tomasz Jóźwicki, 2020. "The Soil Moisture during Dry Spells Model and Its Verification," Resources, MDPI, vol. 9(7), pages 1-27, July.
    13. 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).
    14. 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.
    15. Bwambale, Erion & Abagale, Felix K. & Anornu, Geophrey K., 2022. "Smart irrigation monitoring and control strategies for improving water use efficiency in precision agriculture: A review," Agricultural Water Management, Elsevier, vol. 260(C).
    16. Gong, Xuewen & Li, Xiaoming & Li, Yu & Bo, Guokui & Qiu, Rangjian & Huang, Zongdong & Gao, Shikai & Wang, Shunsheng, 2023. "An improved model to simulate soil water and heat: A case study for drip-irrigated tomato grown in a greenhouse," Agricultural Water Management, Elsevier, vol. 277(C).
    17. Ruqing Zhang & Lu Li & Ye Zhang & Feini Huang & Jianduo Li & Wei Liu & Taoning Mao & Zili Xiong & Wei Shangguan, 2021. "Assessment of Agricultural Drought Using Soil Water Deficit Index Based on ERA5-Land Soil Moisture Data in Four Southern Provinces of China," Agriculture, MDPI, vol. 11(5), pages 1-19, May.
    18. Ding, Yibo & Gong, Xinglong & Xing, Zhenxiang & Cai, Huanjie & Zhou, Zhaoqiang & Zhang, Doudou & Sun, Peng & Shi, Haiyun, 2021. "Attribution of meteorological, hydrological and agricultural drought propagation in different climatic regions of China," Agricultural Water Management, Elsevier, vol. 255(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agiwat:v:277:y:2023:i:c:s0378377422006461. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.