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Analysis on water conservation function using remote sensing method in the Three Gorges Reservoir area (Chongqing section) |
YE Qinyu1,2( ), YANG Shiqi1,2( ), ZHANG Qiang3, WANG Shu4, HE Zeneng1,2, ZHENG Yinghui3 |
1. Chongqing Institute of Meteorological Sciences, Chongqing 401147, China 2. Chongqing Engineering Research Center of Agrometeorology and Satellite Remote Sensing, Chongqing 401147, China 3. Chongqing Meteorological Bureau, Chongqing 401147, China 4. National Meteorological Information Center, Beijing 100081, China |
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Abstract Water conservation is one of the most important functions of an ecosystem and can maintain and provide water resources for the ecosystem and humans. According to the physical meaning of water conservation, this study used leaf area index, vegetation coverage, and evapotranspiration to represent the water conservation of the vegetation layer and used surface temperature, soil moisture content, and slope to represent the water conservation capacity of the soil layer. Then, this study developed a remote sensing monitoring and evaluation model for water conservation through principal component analysis to explore the spatial-temporal distribution characteristics of the water conservation capacity in the Three Gorges reservoir area. The results show that the water conservation index (WCI) contained the objective information of various indices, could be used to quickly and conveniently assess the water conservation function in the Three Gorges Reservoir area, and properly represented the water conservation capacity there. In 2019, the water conservation capacity was unevenly distributed in the Three Gorges reservoir area and was high downstream and low upstream. The northeastern part of Chongqing was dominated by forest ecosystems and had the strongest water conservation function. From 2013 to 2019, the WCI slightly increased in most areas, especially in some parts of Fengdu, Kaizhou, and Yunyang areas.
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Keywords
water conservation
Three Gorges Reservoir area
ecosystem services
remote sensing
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Corresponding Authors:
YANG Shiqi
E-mail: yeqinyu0427@163.com;yangshiqi1980@sina.com
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Issue Date: 20 June 2022
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