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Evaluation of agricultural water and soil resource matching characteristics considering increased precipitation-derived “green water”: a case study in the Yellow River Basin, China

Author

Listed:
  • Yun Gao

    (Farmland Irrigation Research Institute of CAAS)

  • Ping Li

    (Farmland Irrigation Research Institute of CAAS)

  • Hongyu Hou

    (Yellow River Engineering Consulting Limited Company)

  • Zhijie Liang

    (Farmland Irrigation Research Institute of CAAS)

  • Yan Zhang

    (Farmland Irrigation Research Institute of CAAS)

  • Xuebin Qi

    (Farmland Irrigation Research Institute of CAAS)

Abstract

Well-matched pattern of water and soil resources can provide strong support for agricultural development. Most previous studies have considered the total amount of water resources, the available water resources, or the amount of irrigation water; the characteristics of water resources in different districts have been ignored. This study proposes a method to evaluate the matching of agricultural water and soil resources by combining administrative units and subbasins at different spatial scales while accounting for the variability of precipitation “green water” resources within each spatial unit. Taking the Yellow River Basin in China as an example, the generalized water and soil resource matching coefficient was applied to evaluate the spatial match between water and soil resources in nine provinces among the secondary water subregions within the Yellow River Basin. The results show the following: the degree of matching between agricultural water and soil resources in Sichuan Province (above Longyangxia) was relatively good, while that in the Inner Mongolia Autonomous Region (endorheic region) was relatively poor. The temporal variation trends of water and soil resources in Qinghai Province (Longyangxia to Lanzhou), Gansu Province (Longmen to Sanmenxia), Shanxi Province (Longmen to Sanmenxia), and Ningxia Hui Autonomous Region (Lanzhou to Hekou town) were significantly reduced, and the remaining provinces exhibited no significant changes. According to the relationship between the generalized agricultural water and soil resource matching coefficient and the ratio of “blue water” to “green water,” the study area was divided into four zones, and specific policy measures were proposed for each zone, especially those with unsatisfactory or unstable matching characteristics over time. For zones I and II with a relatively high degree of water and soil resource matching, the government should actively build irrigation facilities to ensure that the water conservancy conditions therein can be fully utilized. For zone III, the government should support the construction of water conservancy facilities and improve the utilization rate of water resources. The water shortage problem in zone IV can be alleviated by establishing an interconnected water system project with zones I and II or a cross-basin water transfer project.

Suggested Citation

  • Yun Gao & Ping Li & Hongyu Hou & Zhijie Liang & Yan Zhang & Xuebin Qi, 2023. "Evaluation of agricultural water and soil resource matching characteristics considering increased precipitation-derived “green water”: a case study in the Yellow River Basin, China," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 28(1), pages 1-21, January.
  • Handle: RePEc:spr:masfgc:v:28:y:2023:i:1:d:10.1007_s11027-022-10042-5
    DOI: 10.1007/s11027-022-10042-5
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    References listed on IDEAS

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    1. Xiao-jun Wang & Jian-yun Zhang & Shamsuddin Shahid & Amgad ElMahdi & Rui-min He & Xin-gong Wang & Mahtab Ali, 2012. "Gini coefficient to assess equity in domestic water supply in the Yellow River," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 17(1), pages 65-75, January.
    2. Xiao-jun Wang & Jian-yun Zhang & Rui-min He & ElMahdi Amgad & ElSawah Sondoss & Man-ting Shang, 2011. "A strategy to deal with water crisis under climate change for mainstream in the middle reaches of Yellow River," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 16(5), pages 555-566, June.
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