Evaluation and spatial-temporal evolution analysis of ecological environment quality in Tianjin

doi:10.13474/j.cnki.11-2246.2023.0224

Abstract

Abstract: Ecological environment quality is a key index to measure the livable level of a region. Dynamic monitoring of regional ecological environment quality changes can provide scientific basis and decision support for ecological environment protection. To study the ecological quality changes in Tianjin in recent years, a modified remote sensing ecological index (MRSEI) was constructed by adding two indicators, population density (PD) and aerosol optical depth (AOD), based on the remote sensing ecological index (RSEI) index using principal component analysis. The change of eco-environmental quality in Tianjin was analyzed. The results showed that: ① MRSEI is reasonable and can be used to evaluate eco-environmental quality more comprehensively. ② Greenness (NDVI) and humidity (WET) were positively correlated with MRSEI value, while heat (LST), dryness (NDBSI), PD and AOD were negatively correlated with MRSEI value. ③ The MRSEI values in Tianjin in 2014, 2017 and 2020 were 0.59, 0.54 and 0.67, respectively. ④ The ecological quality of Tianjin expanded to the south, the ecological environment deviation in the south and the ecological environment preference in the north, but the gap was gradually narrowing. ⑤ The mean value of MRSEI of forest land is 0.75, shrub is 0.73, cultivated land is 0.68, grassland is 0.57, opaque water is 0.43, and wasteland is 0.28. In conclusion, based on the improved remote sensing ecological index, this paper evaluated the ecological environment quality of Tianjin from 2014 to 2020 in a more comprehensive way, providing reference for regional ecological governance.

Key words: ecological environment quality, dynamic monitoring, Tianjin city, RSEI, principal component analysis

CLC Number:

P208

FAN Xueshan, ZHENG Liquan, CHEN Zhigang, GONG Zhiwei. Evaluation and spatial-temporal evolution analysis of ecological environment quality in Tianjin[J]. Bulletin of Surveying and Mapping, 2023, 0(8): 14-18,66.

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