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耦合遥感生态指数模型的山西省及规划矿区生态环境评价
引用本文:季翔林,阎跃观,郭伟,滕永佳,赵传武.耦合遥感生态指数模型的山西省及规划矿区生态环境评价[J].煤田地质与勘探,2023,51(3):103-112.
作者姓名:季翔林  阎跃观  郭伟  滕永佳  赵传武
作者单位:1.中国矿业大学(北京) 地球科学与测绘工程学院,北京 100083
基金项目:国家自然科学基金重点项目(41930650);宁夏回族自治区重点研发项目(2022BEG03064);地理信息工程国家重点实验室、自然资源部测绘科学与地球空间信息技术重点实验室联合资助基金项目(2021-03-04)
摘    要:生态环境质量是评价宜居水平的重要指标,定量评价区域生态环境质量的变化规律可为地区生态环境保护和治理提供科学依据。以我国山西省及其规划矿区为研究区域,基于谷歌地球引擎(Google Earth Engine,GEE)平台和生态系统服务和权衡的综合评估(Integrated Valuation of Ecosystem Services and Tradeoffs,InVEST)模型,在原有的遥感生态指数(Remote Sensing Ecology Index,RSEI)加入植被净初级生产力(Net Primary Productivity,NPP)和生境质量(Habitat Quality,HQ),分别用来表征碳汇水平和生境适宜度水平。选取2000—2018年有代表性的3个年份进行分析,通过构建基于耦合NPP、HQ和RSEI的新型遥感生态指数模型(NH-RSEI),评价山西省生态环境质量的时空异质性,并结合缓冲区分析法、驱动力分析法,对规划矿区的环境变化进行分析。研究表明:2000—2018年,山西省的整体生态水平处于中等偏下但有所改善,改善程度要小于矿区;晋东部的矿区生态环境处于中等...

关 键 词:规划矿区  InVEST模型  遥感生态指数  生境质量  生态环境评价
收稿时间:2022-04-19

Ecological environment assessment of Shanxi Province and planned mining area based on coupling Remote Sensing Ecological Index (RSEI) model
Affiliation:1.School of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China2.Institute of Remote Sensing Science and Engineering, Department of Geographic Science, Beijing Normal University, Beijing 100875, China
Abstract:Ecological environment quality is an important indicator to evaluate the livability, and quantitative assessment on the change rule of regional ecological environment quality could provide scientific basis for the regional ecological environment protection and governance. Taking Shanxi Province and its planned mining area as the research area, the original Remote Sensing Ecology Index (RSEI) is added with Net Primary Productivity (NPP) and Habitat Quality (HQ) to characterize the carbon sink level and habitat suitability respectively based on Google Earth Engine (GEE) platform. Herein, three representative years from 2000 to 2018 were selected for analysis. Specifically, the temporal and spatial heterogeneity of ecological environment quality in Shanxi Province was evaluated by building a new remote sensing ecological index model (NH-RSEI) based on coupling NPP, HQ and RSEI. Meanwhile, the environmental change in the planned mining area was analyzed by combining the buffer analysis method and driving force analysis method. The research shows that the overall ecological level of Shanxi Province from 2000 to 2018 was at the lower middle level with less improvement than the mining area. The ecology of the mining area in the east of Shanxi Province is above the middle level and relatively stable, while that in the west of Shanxi Province is poor with obvious improvement. In addition, the mining area has great impact on the ecological environment quality of the buffer zone within the radius of about 6 km, and the impact is superimposed on the overlapped buffer zone, which is gradually decreasing over time. The mean value of NH-RSEI has a strong correlation with elevation and slope, and has obvious characteristics of phased changes, which are the key factors affecting the distribution of NH-RSEI. Generally, this study provides a reliable way to assess the ecological environment quality in large scale and long sequence. Therefore, it is of great significance to the ecological restoration and sustainable development management of Shanxi Province and its planned mining areas. 
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