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The Temporal and Spatial Evolution of Water Yield in Dali County

Author

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  • Jing Yu

    (Faculty of Resources and Environmental Science, Hubei University, Wuhan 430062, China)

  • Yongwei Yuan

    (Faculty of Resources and Environmental Science, Hubei University, Wuhan 430062, China
    These authors contributed equally to this work.)

  • Yan Nie

    (College of Urban & Environmental Sciences, Central China Normal University, Wuhan 430079, China
    These authors contributed equally to this work.)

  • Enjun Ma

    (School of Mathematics and Physics, China University of Geosciences (Wuhan), Wuhan 430074, China)

  • Hongji Li

    (Faculty of Resources and Environmental Science, Hubei University, Wuhan 430062, China)

  • Xiaoli Geng

    (Faculty of Resources and Environmental Science, Hubei University, Wuhan 430062, China)

Abstract

Water yield is of great importance to the balance between supply and demand of water resources. The provision of freshwater for Dali is estimated and mapped in 1988, 1995, 2000, 2005 and 2008, using the Integrated Valuation of Environmental Services and Tradeoffs (InVEST) modeling toolset. The stability of water yield’s spatial variation is analyzed by a sorting method. The factors are explored which lead to the change in the relative water yield capacity. The yields at five points in time are compared, and the result of which shows a sharp fluctuation. The water yield curve is of a similar waveform as precipitation. An obvious and relatively stable spatial variation appears for water yield. The highest water yield areas are mainly located in the area where the elevation is high and both the elevation and the slope changes are large, and the main land uses are Shrub Land and High Coverage Grassland. The lowest areas are mainly in the eastern part of Erhai or the surrounding area. Precipitation, construction land expansion and the implementation of policy on land use are the three main factors which contribute to the change of the relative water yield capacity during 1988–2008 in Dali. In the study area, the water yield appears highly sensitive to the change in precipitation. The elasticity coefficient is calculated to illustrate the sensitivity of the water yield to the precipitation. When the elasticity index is larger, the risk of natural disaster will be higher.

Suggested Citation

  • Jing Yu & Yongwei Yuan & Yan Nie & Enjun Ma & Hongji Li & Xiaoli Geng, 2015. "The Temporal and Spatial Evolution of Water Yield in Dali County," Sustainability, MDPI, vol. 7(5), pages 1-17, May.
    • Handle: RePEc:gam:jsusta:v:7:y:2015:i:5:p:6069-6085:d:49708
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    References listed on IDEAS

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    Cited by:

    1. Hui Gao & Tonggang Fu & Jintong Liu & Hongzhu Liang & Lipu Han, 2018. "Ecosystem Services Management Based on Differentiation and Regionalization along Vertical Gradient in Taihang Mountain, China," Sustainability, MDPI, vol. 10(4), pages 1-15, March.
    2. Irmadi Nahib & Wiwin Ambarwulan & Ati Rahadiati & Sri Lestari Munajati & Yosef Prihanto & Jaka Suryanta & Turmudi Turmudi & Anggit Cahyo Nuswantoro, 2021. "Assessment of the Impacts of Climate and LULC Changes on the Water Yield in the Citarum River Basin, West Java Province, Indonesia," Sustainability, MDPI, vol. 13(7), pages 1-20, April.
    3. Xinli Ke & Liye Wang & Yanchun Ma & Kunpeng Pu & Ting Zhou & Bangyong Xiao & Jiahe Wang, 2019. "Impacts of Strict Cropland Protection on Water Yield: A Case Study of Wuhan, China," Sustainability, MDPI, vol. 11(1), pages 1-16, January.
    4. Mohsen Sharafatmandrad & Azam Khosravi Mashizi, 2021. "Temporal and Spatial Assessment of Supply and Demand of the Water-yield Ecosystem Service for Water Scarcity Management in Arid to Semi-arid Ecosystems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(1), pages 63-82, January.

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