Assessment and Simulation of Urban Ecological Environment Quality Based on Geographic Information System Ecological Index

Lusheng Che, Shuyan Yin (), Junfang Jin and Weijian Wu
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Lusheng Che: School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China
Shuyan Yin: School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China
Junfang Jin: School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China
Weijian Wu: Sichuan Institute of Metal Geologic Survey, Chengdu 611730, China

Land, 2024, vol. 13, issue 5, 1-20

Abstract: The urban ecological environment is crucial to the quality of life of residents and the sustainable development of the region, and the assessment and prediction of the ecological environment quality can provide a scientific guidance for ecological environment management and improvement. We proposed a novel approach to assess and simulate the urban ecological environment quality using the Geographic Information System Ecological Index (GISEI). First, we calculated the remote sensing ecological index (RSEI) for Xi’an in 2020. Second, we selected land use data, mean annual temperature, and mean annual relative humidity as ecological indicators. We regressed these indicators on the RSEI to obtain the GISEI of Xi’an in 2020. Finally, we simulated the GISEI of Xi’an in 2030 by predicting the ecological indicators and analyzed the changes in the ecological environment quality. The results of the study show that the ecological environment quality in Xi’an in 2020 is better overall. By 2030, most of the ecological environment quality in Xi’an will be worse, and the proportion of the excellent area will decrease from 42.8% to 3.8%. The more serious ecological degradation is mainly located in the regions bordering the Qinling Mountains and the Guanzhong Plain, and the ecological environment quality in most areas of the Qinling Mountains will deteriorate from excellent to good.

Keywords: ecological environment quality; RSEI; GIS; Xi’an (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
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