生态与农村环境学报2023，Vol.39Issue(12)：1580-1590,11.DOI:10.19741/j.issn.1673-4831.2022.0534
基于改进遥感生态指数的矿区生态环境监测及驱动因素分析
Ecological Environment Monitoring and Driving Factors Analysis of Mining Area Based on Improved Remote Sensing Ecological Index
摘要
Abstract
A new remote sensing ecological index(NRSEI)was built to monitor and analyze the driving factors of the min-ing ecological environment of Feng-Feng Coal Mine in Handan of Hebei Province from 2001 to 2020 on the basis of the re-mote sensing ecological index(RSEI)by adding PM25 concentration index to greenness,humidity,dryness and heat inde-xes.The results prove that:(1)The NRSEI model can more truly reflect the ecological environment of the research area.In the past 20 years,the quality of the ecological environment in the study area fluctuated and changed with a slightly de-crease before 2009,and then showed a trend of improvement.Overall,the NRSEI grade was mainly medium or relatively good,and the ecological environment tended to be stable.(2)The ecological degradation areas were mostly distributed in the central and eastern parts of the study area,mainly due to the expansion of cities and towns.The improvement area was mainly distributed in the western part of the study area,mainly due to less human interference and the ecological priority policies implemented by the government,which had stabilized and improved the ecological environment of the area.(3)A separate analysis of the water bodies in the study area found that the ecological environment level of the water bodies and land change areas was above medium,and the overall ecological environment was good.(4)The changes in the quality of the ecological environment in the mining area were affected by the combined action of driving factors such as rainfall,tem-perature,slope and human activities.The government's measurements to control and protect the ecological environment had achieved positive results.关键词
新型遥感生态指数/主成分分析/时空变化/土地利用/驱动因素Key words
new remote sensing ecological index/principal component analysis/spatio-temporal distribution/land use/driving factors分类
资源环境引用本文复制引用
马鹏飞,张安兵,王贺封,辛会超,刘粉粉..基于改进遥感生态指数的矿区生态环境监测及驱动因素分析[J].生态与农村环境学报,2023,39(12):1580-1590,11.基金项目
国家自然科学基金(42071246) （42071246）
河北省自然科学基金生态智慧矿山联合基金(E2020402086) （E2020402086）
河北省自然科学基金重点项目(D2021402007) （D2021402007）
河北省高等学校科学技术研究重点项目(ZD2020312) （ZD2020312）
