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Calculation framework for agricultural irrigation water consumption in multi-source irrigation systems

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Listed:
  • Wu, Di
  • Cui, Yuanlai
  • Li, Dacheng
  • Chen, Manyu
  • Ye, Xugang
  • Fan, Guofu
  • Gong, Lanqiang

Abstract

This study proposed a calculation framework to reasonably and effectively calculate the agricultural irrigation water consumption (AIWC) and reused irrigation return flow (IRFr) in multi-source irrigation systems based on the modified Soil and Water Assessment Tool (SWAT). The calculation framework was applied in the Yangshudang (YSD) watershed in southern China over the years. Results showed that total AIWC and IRFr of the irrigation system increased as the degree of drought increased. The improved total AIWC (AIWCnew,g), which considered the reuse of return flow, is less than the traditional total AIWC (AIWCo,g). In addition to the backbone water source of the Zhanghe Reservoir, 44.54% of the AIWCo,g of the YSD watershed came from ponds inside the YSD watershed under multiyear average conditions. The IRFr accounted for 6.49% of the AIWCo,g, and the AIWCnew,g accounted for 93.51% of the AIWCo,g. For accuracy and management, this calculation framework and improved AIWC are suggested to be used in the multi-source irrigation systems.

Suggested Citation

  • Wu, Di & Cui, Yuanlai & Li, Dacheng & Chen, Manyu & Ye, Xugang & Fan, Guofu & Gong, Lanqiang, 2021. "Calculation framework for agricultural irrigation water consumption in multi-source irrigation systems," Agricultural Water Management, Elsevier, vol. 244(C).
  • Handle: RePEc:eee:agiwat:v:244:y:2021:i:c:s0378377420321508
    DOI: 10.1016/j.agwat.2020.106603
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    References listed on IDEAS

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    1. Qureshi, S. A. & Madramootoo, C. A. & Dodds, G. T., 2002. "Evaluation of irrigation schemes for sugarcane in Sindh, Pakistan, using SWAP93," Agricultural Water Management, Elsevier, vol. 54(1), pages 37-48, March.
    2. Wu, Di & Cui, Yuanlai & Wang, Yitong & Chen, Manyu & Luo, Yufeng & Zhang, Lei, 2019. "Reuse of return flows and its scale effect in irrigation systems based on modified SWAT model," Agricultural Water Management, Elsevier, vol. 213(C), pages 280-288.
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    4. Dai, Junfeng & Cui, Yuanlai & Cai, Xueliang & Brown, Larry C. & Shang, Yuhui, 2016. "Influence of water management on the water cycle in a small watershed irrigation system based on a distributed hydrologic model," Agricultural Water Management, Elsevier, vol. 174(C), pages 52-60.
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    6. Wu, Di & Cui, Yuanlai & Luo, Yufeng, 2019. "Irrigation efficiency and water-saving potential considering reuse of return flow," Agricultural Water Management, Elsevier, vol. 221(C), pages 519-527.
    7. Chen, Mengting & Luo, Yufeng & Shen, Yingying & Han, Zhenzhong & Cui, Yuanlai, 2020. "Driving force analysis of irrigation water consumption using principal component regression analysis," Agricultural Water Management, Elsevier, vol. 234(C).
    8. Uniyal, Bhumika & Dietrich, Jörg, 2019. "Modifying Automatic Irrigation in SWAT for Plant Water Stress scheduling," Agricultural Water Management, Elsevier, vol. 223(C), pages 1-1.
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    Cited by:

    1. Wei, Jun & Cui, Yuanlai & Zhou, Sihang & Luo, Yufeng, 2022. "Regional water-saving potential calculation method for paddy rice based on remote sensing," Agricultural Water Management, Elsevier, vol. 267(C).
    2. Liu, Lianhua & Ouyang, Wei & Wang, Yidi & Lian, Zhongmin & Pan, Junting & Liu, Hongbin & Chen, Jingrui & Niu, Shiwei, 2023. "Paddy water managements for diffuse nitrogen and phosphorus pollution control in China: A comprehensive review and emerging prospects," Agricultural Water Management, Elsevier, vol. 277(C).
    3. Mingzhi Yang & Jijun Xu & Dacong Yin & Shan He & Suge Zhu & Sinuo Li, 2022. "Modified Multi–Source Water Supply Module of the SWAT–WARM Model to Simulate Water Resource Responses under Strong Human Activities in the Tang–Bai River Basin," Sustainability, MDPI, vol. 14(22), pages 1-20, November.

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