Estimation of remote sensing based ecological index along the Grand Canal based on PCA-AHP-TOPSIS methodology

doi:10.1016/j.ecolind.2020.107214

	Estimation of remote sensing based ecological index along the Grand Canal based on PCA-AHP-TOPSIS methodology
	Li, Ying 1,2; Wu, Liyun 2; Han, Quan 2; Wang, Xin 2; Zou, Tongqian 2; Fan, Cheng 3
刊名	ECOLOGICAL INDICATORS
	2021-03-01
卷号	122 页码:13
关键词	RSEI PCA AHP TOPSIS The Grand Canal
ISSN号	1470-160X
DOI	10.1016/j.ecolind.2020.107214
通讯作者	Zou, Tongqian(20190063@bisu.edu.cn)
英文摘要	The Beijing-Hangzhou Grand Canal was an important water conservancy project in Chinese history, which is honored as the spiritual symbol of Chinese canal culture. Over the past thousands of years, it has played its role of water transportation and irrigation. However, with the development of social economy and urbanization in cities along the Grand Canal, the ecological environment along it is being adversely affected. In order to find out the changes in the ecological environment along the Grand Canal in the past 20 years, this study proposes a RSEI (Remote Sensing based Ecological Index) comprehensive evaluation method combined with PCA-AHP-TOPSIS, which uses the PCA to extract the contribution rates of the main components. By referring to the contribution rates, this method combines the AHP to calculate the weights of ecological environmental factors such as air temperature, precipitation, atmospheric PM2.5 concentration, tropospheric NO2 columns and NDVI. This study uses the TOPSIS algorithm to estimate the distance between each ecological environmental factor and the optimal solution, and quantify them into the RSEI comprehensive evaluation results of the areas along the Grand Canal. Combining the self-adaptability of the PCA algorithm, the comprehensive evaluation ability of the AHP algorithm and the intelligent ranking of the TOPSIS algorithm, this method successfully avoids the subjectivity, extensiveness and other limitations of conventional multi-factor decision analysis. The study results have shown that the spatial and temporal differences of the ecological environment are significant in the Grand Canal area. For example, the quality of the ecological environment in the central and southern sections is significantly higher than that in the north. The ecological environment in the northern section of the Grand Canal is quite unique. It is significantly different from the overall ecological environment of the Grand Canal area. From 2000 to 2019, the ecological environment of the Grand Canal showed a clear decline and then an upward trend until reaching the top in 2019. The improving ecological environment of the Grand Canal is closely related to the increase of vegetation coverage, the improvement of environmental quality and the implementation of national governance policies. Since the ecological environment along the Grand Canal is becoming increasingly heterogeneous, different areas along the Grand Canal need to be treated differently according to their characteristics during the eco-environment restoration and improvement process.
资助项目	Beijing Social Science Fund[20GLC064] ; State Key Laboratory of Resources and Environmental Information System, CAS ; National Natural Science Foundation of China[71673015/G031031] ; 2020 National Social Science Fund Art Major Project of China: International Comparative Study on National Cultural Park Policy[20ZD02] ; 2020 Youth Academic Talents Program of Beijing International Studies University: Research on hourly tourism suitability prediction of tourism cities based on big data and remote sensing technology ; 2020 New teaching staff's Scientific Research Sailing Plan of Beijing International Studies University: Study on dynamic assessment of haze population exposure risk in Tourism Cities[KYQH20A011] ; NASA Earth Science Division
WOS关键词	LAND-SURFACE TEMPERATURE ; FINE PARTICULATE MATTER ; SATELLITE-OBSERVATIONS ; LOCAL INDICATORS ; AIR-TEMPERATURE ; 2 DECADES ; CHINA ; HANGZHOU ; POLLUTION ; AEROSOLS
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
语种	英语
出版者	ELSEVIER
WOS记录号	WOS:000613237300005
资助机构	Beijing Social Science Fund ; State Key Laboratory of Resources and Environmental Information System, CAS ; National Natural Science Foundation of China ; 2020 National Social Science Fund Art Major Project of China: International Comparative Study on National Cultural Park Policy ; 2020 Youth Academic Talents Program of Beijing International Studies University: Research on hourly tourism suitability prediction of tourism cities based on big data and remote sensing technology ; 2020 New teaching staff's Scientific Research Sailing Plan of Beijing International Studies University: Study on dynamic assessment of haze population exposure risk in Tourism Cities ; NASA Earth Science Division
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/160703]
专题	中国科学院地理科学与资源研究所
通讯作者	Zou, Tongqian
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.China Acad Culture & Tourism, Beijing Int Studies Univ, Beijing 100024, Peoples R China 3.Chinese Acad Sci, Aerosp Informat Res Inst, State Environm Protect Key Lab Satellite Remote S, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Li, Ying,Wu, Liyun,Han, Quan,et al. Estimation of remote sensing based ecological index along the Grand Canal based on PCA-AHP-TOPSIS methodology[J]. ECOLOGICAL INDICATORS,2021,122:13.
APA	Li, Ying,Wu, Liyun,Han, Quan,Wang, Xin,Zou, Tongqian,&Fan, Cheng.(2021).Estimation of remote sensing based ecological index along the Grand Canal based on PCA-AHP-TOPSIS methodology.ECOLOGICAL INDICATORS,122,13.
MLA	Li, Ying,et al."Estimation of remote sensing based ecological index along the Grand Canal based on PCA-AHP-TOPSIS methodology".ECOLOGICAL INDICATORS 122(2021):13.