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[1]ZHANG Chengyan,YANG Shaokang,DONG Xiaohua,et al.Research on Spatiotemporal Evolution and Influencing Factors of Ecological Environment Quality in the Upper Yangtze River Basin Based on RSEI Index[J].Research of Soil and Water Conservation,2023,30(01):356-363.[doi:10.13869/j.cnki.rswc.20220601.005]

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Research on Spatiotemporal Evolution and Influencing Factors of Ecological Environment Quality in the Upper Yangtze River Basin Based on RSEI Index

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 30 Number of periods: 2023 01 Page number: 356-363 Column: Public date: 2023-01-10

Title:: Research on Spatiotemporal Evolution and Influencing Factors of Ecological Environment Quality in the Upper Yangtze River Basin Based on RSEI Index

Author(s):: ZHANG Chengyan^1,2,3, YANG Shaokang^1,2,3, DONG Xiaohua^1,2,3, ZHAO Chengming^1,2,3, BAO Huijuan^1,2,3, LIU Ji^1,2,3; (1.College of Hydraulic and Environmental Engineering, China Three Gorges University, Yichang, Hubei 443002, China; 2.Engineering Research Center of Eco-environment in Three Gorges Reservoir Region, of Education, Yichang, Hubei 443002, China; 3.Hubei Collaborative Innovation Center for Water Resources Security, Wuhan 430072, China)

Keywords:: remote sensing ecological environment index; the upper reaches of the Yangtze River Basin; spatial and temporal characteristics; Google Earth Engine; geographic detector

CLC:: TP79; X87; X826

DOI:: 10.13869/j.cnki.rswc.20220601.005

Abstract:: In order to accurately and timely obtain the change trend and evolution pattern of ecological environment quality in the upper reaches of the Yangtze River, based on the MODIS series remote sensing data of the Google Earth Engine(GEE)platform, the greenness(NDVI), humidity(WET), heat(LST)and dryness(NDSI)of the upper Yangtze River basin during the growing season from May to October. Using principal component analysis(PCA)to construct a remote sensing ecological environment index RSEI to evaluate the ecological environment of the upper reaches of the Yangtze River. The results show that:(1)average contribution rate of the four indicators on the first principal component(PC1)is 71%, indicating that it is feasible to build RSEI in the upper Yangtze River basin based on these four indicators;(2)overall RSEI in the upper Yangtze River is a significant increase trend(p<0.05), and the increase rate is 1.1×10^-3/a, which can be divided into two stages, namely the rapid growth period(2000—2010), with a rate of 5.9×10^-3/a, and the slowdown period(2010—2020), the rate is 3.9×10^-3/a;(3)ecological environment quality of the upper reaches of the Yangtze River is mainly and good, and the performance is better in the south than in the northeastern part has a better spatial distribution pattern than the western part;(4)from 2000 to 2010, the quality of the ecological environment in the watershed improved significantly, with an improved area accounting for 34.7. From 2010 to 2020, the improved area was close to the degraded area, and the difference between the two was only about 1.3%;(5)from 2000 to 2020, the area of pixels with a positive RSEI change trend in the upper Yangtze River accounted for 64.7% of the total area of the upper Yangtze River basin, and the areas with significant degradation mainly concentrated in the lower reaches of the Jialing River;(6)environment quality dominated natural influences factors in 2000 were heat>greenness>humidity>dryness; 2010, the greenness>heat>humidity>dryness; in 2020, the greenness>humidity>heat>dryness. In summary, the use of the GEE platform can quickly and accurately monitor the ecological environment quality of the upper reaches of the Yangtze River. In the past 21 years, the ecological environment quality of the basin shown an overall improvement trend. However, the ecological degradation phenomenon in the lower reaches of the Jialing River needs to be paid attention by the government, and a series of ecological restoration measures are proposed as soon as possible prevent further deterioration of its ecological environment.

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Last Update: 2023-01-10