ORIGINAL RESEARCH
Spatio-Temporal Study on Supply and Demand
Matching of Ecosystem Water Yield Service
– A Case Study of Wei River Basin
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College of Economics and Management, Northwest Agriculture and Forestry University,
Xianyang712100, China
Submission date: 2020-06-02
Final revision date: 2020-08-14
Acceptance date: 2020-08-24
Online publication date: 2020-12-23
Publication date: 2021-02-05
Corresponding author
Shunbo Yao
College of Economics and Management, Northwest A&F University, Yangling712100, China, China
Pol. J. Environ. Stud. 2021;30(2):1677-1693
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ABSTRACT
Wei River, as the largest tributary of the Yellow River, is facing an increasingly serious shortage
of water resources. Therefore, it has a great significance to study the correlation between the supplydemand
characteristics of water yield service and the spatial matching of supply and demand for the
management and efficient allocation of water resources in the region. Based on the land use data,
precipitation data, evaporation data, and water consumption data of the Wei River basin in 2000, 2005,
2010, and 2015, we used spatial analysis tools of the InVEST model, ArcGIS and GeoDa to calculate the
supply and demand of water yield service in the research area, then analyzed and evaluated the matching
status of supply and demand of water yield service in the region. The results showed that: (1) The total
water yield of Wei River basin in 2015 increased by 271 million m3 compared with that in 2000, among
which the water yield per unit area varies in different categories: unused land>construction land>farm
land>grass land>forest>water area; (2) During the study period, water yield service was mostly deficit,
and there were differences among different regions. The total supply of water yield service increased
year by year, and the total demand decreased firstly and then increased. Spatially water yield service
supply is high in the south and low in the north, while demand is relatively stable; (3)The number of
low-low spatial matching in Wei River basin was the largest, accounting for 20.43% of the whole Wei
River basin. The high-high spatial matching was mainly concentrated in Guanzhong plain, Xi ‘an,
Shaanxi province. The high-low spatial dislocation only involved Fengxiang county of Shaanxi province
in the south of the study area. The result of this study is helpful for the government to rationally allocate
water resources in Wei River basin, and to ensure the high-quality and sustainable development of the
ecological environment in Yellow River basin ultimately.