•  
  •  
 

Coal Geology & Exploration

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.

Keywords

planned mining area, InVEST model, Remote Sensing Ecological Index (RSEI), habitat quality, ecological environment assessment

DOI

10.12363/issn.1001-1986.22.04.0280

Reference

[1] 赵其国,黄国勤,马艳芹. 中国生态环境状况与生态文明建设[J]. 生态学报,2016,36(19):6328−6335.

ZHAO Qiguo,HUANG Guoqin,MA Yanqin. The ecological environment conditions and construction of an ecological civilization in China[J]. Acta Ecologica Sinica,2016,36(19):6328−6335.

[2] CRUTZEN P J. Geology of mankind[J]. Nature,2002,415(6867):23.

[3] LUQUE G M,HOCHBERG M E,HOLYOAK M,et al. Ecological effects of environmental change[J]. Ecology Letters,2013,16(Sup.1):1−3.

[4] ESTOQUE R C,OOBA M,SEPOSO X T,et al. Heat health risk assessment in Philippine cities using remotely sensed data and social-ecological indicators[J]. Nature Communications,2020,11:1581.

[5] JIA Huicong,PAN Donghua,ZHANG Wanchang. Health assessment of wetland ecosystems in the Heilongjiang River Basin,China[J]. Wetlands,2015,35(6):1185−1200.

[6] LI Jun,PEI Yanqiu,ZHAO Shaohua,et al. A review of remote sensing for environmental monitoring in China[J]. Remote Sensing,2020,12(7):1130.

[7] 徐涵秋. 城市遥感生态指数的创建及其应用[J]. 生态学报,2013,33(24):7853−7862.

XU Hanqiu. A remote sensing urban ecological index and its application[J]. Acta Ecologica Sinica,2013,33(24):7853−7862.

[8] 杨泽康,田佳,李万源,等. 黄河流域生态环境质量时空格局与演变趋势[J]. 生态学报,2021,41(19):7627−7636.

YANG Zekang,TIAN Jia,LI Wanyuan,et al. Spatio–temporal pattern and evolution trend of ecological environment quality in the Yellow River Basin[J]. Acta Ecologica Sinica,2021,41(19):7627−7636.

[9] 王渊,赵宇豪,吴健生. 基于Google Earth Engine云计算的城市群生态质量长时序动态监测:以粤港澳大湾区为例[J]. 生态学报,2020,40(23):8461−8473.

WANG Yuan,ZHAO Yuhao,WU Jiansheng. Dynamic monitoring of long time series of ecological quality in urban agglomerations using Google Earth Engine cloud computing:A case study of the Guangdong-Hong Kong-Macao Greater Bay Area,China[J]. Acta Ecologica Sinica,2020,40(23):8461−8473.

[10] HUANG Huiping,CHEN Wei,ZHANG Yuan,et al. Analysis of ecological quality in Lhasa Metropolitan Area during 1990—2017 based on remote sensing and Google Earth Engine platform[J]. Journal of Geographical Sciences,2021,31(2):265−280.

[11] JING Yunqing,ZHANG Fei,HE Yufeng,et al. Assessment of spatial and temporal variation of ecological environment quality in Ebinur Lake Wetland National Nature Reserve,Xinjiang,China[J]. Ecological Indicators,2020,110:105874.

[12] 胡思汉,姚玉增,付建飞,等. 基于RSEI指数的东北矿区生态质量变化评价:以辽宁弓长岭区为例[J]. 生态学杂志,2021,40(12):4053−4060.

HU Sihan,YAO Yuzeng,FU Jianfei,et al. Evaluation of ecological quality variation in mining area of northeast China based on RSEI Index:A case study of Gongchangling District,Liaoning Province[J]. Chinese Journal of Ecology,2021,40(12):4053−4060.

[13] 滕永佳,阎跃观,郭伟,等. 基于遥感生态指数的矿业城市生态环境时空变异分析[J/OL]. 金属矿山,2022:1–16 [2022-07-05]. http://kns.cnki.net/kcms/detail/34.1055.TD.20220505.1703.008.html.

TENG Yongjia,YAN Yueguan,GUO Wei,et al. Analysis of spatio–temporal variation of ecological environment in mining city based on remote sensing ecology index[J/OL]. Metal Mine,2022:1–16 [2022-07-05]. http://kns.cnki.net/kcms/detail/34.1055.TD.20220505.1703.008.html.

[14] 孙桂凯,王国帅,魏义熊,等. 基于改进遥感生态指数的岩溶山区生态质量评价:以澄碧河流域为例[J]. 水土保持通报,2021,41(2):230−239.

SUN Guikai,WANG Guoshuai,WEI Yixiong,et al. Improvement of remote sensing ecological index in karst mountainous areas:Taking Chengbi River Basin as an example[J]. Bulletin of Soil and Water Conservation,2021,41(2):230−239.

[15] 宋美杰,罗艳云,段利民. 基于改进遥感生态指数模型的锡林郭勒草原生态环境评价[J]. 干旱区研究,2019,36(6):1521−1527.

SONG Meijie,LUO Yanyun,DUAN Limin. Evaluation of ecological environment in the Xilin Gol Steppe based on modified remote sensing ecological index model[J]. Arid Zone Research,2019,36(6):1521−1527.

[16] 张静,杨丽萍,贡恩军,等. 基于谷歌地球引擎和改进型遥感生态指数的西安市生态环境质量动态监测[J]. 生态学报,2023,43(5):2114−2127.

ZHANG Jing,YANG Liping,GONG Enjun,et al. Dynamic monitoring of eco-environmental quality in Xi’an based on GEE and adjusted RSEI[J]. Acta Ecologica Sinica,2023,43(5):2114−2127.

[17] 刘英,党超亚,岳辉,等. 改进型遥感生态指数与RSEI的对比分析[J]. 遥感学报,2022,26(4):683−697.

LIU Ying,DANG Chaoya,YUE Hui,et al. Comparison between modified remote sensing ecological index and RSEI[J]. Journal of Remote Sensing,2022,26(4):683−697.

[18] 孙彩霞,杨帆,胡晋. 基于遥感数据的新生态环境指数评价[J]. 测绘通报,2021(11):12−15.

SUN Caixia,YANG Fan,HU Jin. New ecological index evaluation based on remote sensing data[J]. Bulletin of Surveying and Mapping,2021(11):12−15.

[19] 付杰,王萍,张清,等. 基于改进遥感生态指数的海南岛生态环境质量动态变化[J]. 农业资源与环境学报,2021,38(6):1102−1111.

FU Jie,WANG Ping,ZHANG Qing,et al. Dynamic monitoring of ecological environment quality of Hainan Island based on improved remote sensing ecological index[J]. Journal of Agricultural Resources and Environment,2021,38(6):1102−1111.

[20] 习近平. 继往开来,开启全球应对气候变化新征程:在气候雄心峰会上的讲话[N]. 人民日报,2020-12-13(002).

[21] ABRAMS M,ABBOTT E,KAHLE A. Combined use of visible,reflected infrared,and thermal infrared images for mapping Hawaiian lava flows[J]. Journal of Geophysical Research,1991,96(B1):475−484.

[22] LANGER M,WESTERMANN S,BOIKE J. Spatial and temporal variations of summer surface temperatures of wet polygonal tundra in Siberia-implications for MODIS LST based permafrost monitoring[J]. Remote Sensing of Environment,2010,114(9):2059−2069.

[23] 王亚晖,唐文家,李森,等. 青海省草地生产力变化及其驱动因素[J]. 草业学报,2022,31(2):1−13.

WANG Yahui,TANG Wenjia,LI Sen,et al. Change in grassland productivity in Qinghai Province and its driving factors[J]. Acta Prataculturae Sinica,2022,31(2):1−13.

[24] 张心茹,曹茜,季舒平,等. 气候变化和人类活动对黄河三角洲植被动态变化的影响[J]. 环境科学学报,2022,42(1):56−69.

ZHANG Xinru,CAO Qian,JI Shuping,et al. Quantifying the contributions of climate change and human activities to vegetation dynamic changes in the Yellow River Delta[J]. Acta Scientiae Circumstantiae,2022,42(1):56−69.

[25] 陈雪娇,周伟,杨晗. 2001—2017年三江源区典型草地群落碳源/汇模拟及动态变化分析[J]. 干旱区地理,2020,43(6):1583−1592.

CHEN Xuejiao,ZHOU Wei,YANG Han. Simulation and dynamic change of carbon source/sink in the typical grassland communities in the Three River Source Area from 2001 to 2017[J]. Arid Land Geography,2020,43(6):1583−1592.

[26] 张峰,周广胜,王玉辉. 基于CASA模型的内蒙古典型草原植被净初级生产力动态模拟[J]. 植物生态学报,2008,32(4):786−797.

ZHANG Feng,ZHOU Guangsheng,WANG Yuhui. Dynamics simulation of net primary productivity by a satel–lite data–driven CASA model in Inner Mongolian typical steppe,China[J]. Journal of Plant Ecology,2008,32(4):786−797.

[27] 刘春芳,王川,刘立程. 三大自然区过渡带生境质量时空差异及形成机制:以榆中县为例[J]. 地理研究,2018,37(2):419−432.

LIU Chunfang,WANG Chuan,LIU Licheng. Spatio–temporal variation on habitat quality and its mechanism within the transitional area of the Three Natural Zones:A case study in Yuzhong County[J]. Geographical Research,2018,37(2):419−432.

[28] HALL L S,KRAUSMAN P R,MORRISON M L. The habitat concept and a plea for standard terminology[J]. Wildlife Society Bulletin,1997,25(1):173−182.

[29] TERRADO M,SABATER S,CHAPLIN–KRAMER B,et al. Model development for the assessment of terrestrial and aquatic habitat quality in conservation planning[J]. Science of the Total Environment,2016,540:63−70.

[30] 王军,严有龙,王金满,等. 闽江流域生境质量时空演变特征与预测研究[J]. 生态学报,2021,41(14):5837−5848.

WANG Jun,YAN Youlong,WANG Jinman,et al. Temporal–spatial variation characteristics and prediction of habitat quality in Min River Basin[J]. Acta Ecologica Sinica,2021,41(14):5837−5848.

[31] 杨国婷,张红,李静,等. 基于RFFLUS–InVEST–Geodetector耦合模型的平朔矿区生境质量时空演变及其影响因素[J]. 陕西师范大学学报(自然科学版),2021,49(6):106−115.

YANG Guoting,ZHANG Hong,LI Jing,et al. Spatial–temporal evolution and its influencing factors of habitat quality in Pingshuo mining area based on RFFLUS–InVEST–Geodetector coupling model[J]. Journal of Shaanxi Normal University (Natural Science Edition),2021,49(6):106−115.

[32] 许小龙,杨星辰,魏瑞龙,等. 含矿区小流域生境质量评估方法:以宝兴河流域锅巴岩矿山为例[J]. 地质力学学报,2021,27(3):400−408.

XU Xiaolong,YANG Xingchen,WEI Ruilong,et al. An assessment method of habitat quality in small watershed with mining area:A case study of Guobayan Mineral District in the Baoxing River Basin[J]. Journal of Geomechanics,2021,27(3):400−408.

[33] LI Ning,WANG Jiayao,QIN Fen. The improvement of ecological environment index model RSEI[J]. Arabian Journal of Geosciences,2020,13(11):403.

[34] 中华人民共和国国家统计局. 国家统计局统计年度数据[DB/OL]. 山西省:https://data.stats.gov.cn/easyquery.htm?cn=E0103.

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.