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

doi:10.19741/j.issn.1673-4831.2022.0534

摘要/Abstract

摘要： 针对研究区大气环境状况,在遥感生态指数(RSEI,I_RSE)绿度、湿度、干度和热度指标的基础上加入了PM_2.5浓度,构建新型遥感生态指数(I_RSE,new),对2001-2020年矿区生态环境进行监测及驱动因素分析。结果表明:(1)新型遥感生态指数模型能较为真实地反映研究区生态环境状况,20 a间研究区生态环境质量呈现波动变化。2009年前生态环境质量略有下降,之后呈现总体变好趋势,I_RSE,new等级以中等和较优为主,生态环境趋于平稳。(2)生态环境退化的区域大多分布在研究区中部和东部,主要归因于城镇的扩张;改善区域主要分布在西部,受益于人类活动干扰较少及政府的生态优先政策等,该地区的生态环境状况有了显著改善。(3)单独分析研究区水体环境质量状况发现,水体与陆地变化区域生态环境等级为中等偏优,整体生态环境良好。(4)矿区生态环境质量受降雨、气温、坡度和人类活动等驱动因素的共同作用,政府对生态环境的治理与保护措施取得了积极成效。

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

Abstract: A new remote sensing ecological index (NRSEI) was built to monitor and analyze the driving factors of the mining ecological environment of Feng-Feng Coal Mine in Handan of Hebei Province from 2001 to 2020 on the basis of the remote sensing ecological index (RSEI) by adding PM_2.5 concentration index to greenness, humidity, dryness and heat indexes. 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 decrease 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, temperature, slope and human activities. The government's measurements to control and protect the ecological environment had achieved positive results.

Key words: new remote sensing ecological index, principal component analysis, spatio-temporal distribution, land use, driving factors

中图分类号:

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.

MA Peng-fei, ZHANG An-bing, WANG He-feng, XIN Hui-chao, LIU Fen-fen. Ecological Environment Monitoring and Driving Factors Analysis of Mining Area Based on Improved Remote Sensing Ecological Index[J]. Journal of Ecology and Rural Environment, 2023, 39(12): 1580-1590.

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