干旱区生态环境知识资源中心(Arid): Coupling coordination analysis of urbanization and eco-environment in Yanqi Basin based on multi-source remote sensing data

Arid

DOI	10.1016/j.ecolind.2020.106331
	Coupling coordination analysis of urbanization and eco-environment in Yanqi Basin based on multi-source remote sensing data
	Ariken, Muhadaisi; Zhang, Fei; Liu, Kang; Fang, Chuangling; Kung, Hsiang-Te
通讯作者	Zhang, F
来源期刊	ECOLOGICAL INDICATORS
ISSN	1470-160X
EISSN	1872-7034
出版年	2020
卷号	114
英文摘要	While multi-source remote sensing technology has the advantage of accurate and objective quantification, an understanding of the coupling and coordination between regional urbanization and ecological environment is the basis for achieving regional sustainable development. This paper builds the Remote Sensing Ecological Index (RSEI) based on Landsat data and Tiangong-2 WIS, using multi-source remote sensing data to comprehensively evaluate the coupling and coordination relationship between urbanization and ecological environment with a coupling coordination degree model in China's typical arid area of Yanqin Basin during 2000-2018. The results show the RSEI index has a certain rationality and superiority in assessing the ecological environment. In 2000-2018, the ecological environment of the Yanqi Basin was optimized, the RSEI index increased by 23.06%, and the overall ecological environment was at a good level (0.6-0.8). At the same time, the urbanization level of each town had been significantly improved in Yanqi Basin. Through the urban center of gravity transfer model, it was found that direction of urban development shifted to the southwest direction by 7.49 km, which is basically consistent with the position of poor ecological environment. Finally the current urbanization and ecological environment coupling relationship in urban areas of Yanqi Basin was found to exhibit a sluggish rate of urbanization with a moderate imbalance between urbanization with ecological environment. Therefore, when making decisions for planning the regional economic development, the concept of ecological relationships should be integrated to effectively protect and achieve a healthy and sustainable development of the region.
英文关键词	RSEI Tiangong-2 WIS Urbanization and ecological environment The urban center of gravity transfer model Coupling coordination degree model
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000562957500008
WOS关键词	NATIONAL NATURE-RESERVE ; ECOSYSTEM SERVICES ; ECOLOGICAL INDEX ; URBAN ; RESOLUTION ; DYNAMICS ; XINJIANG ; FEATURES ; ECONOMY ; REGION
WOS类目	Biodiversity Conservation ; Environmental Sciences
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
来源机构	中国科学院地理科学与资源研究所 ; 新疆大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/325841
作者单位	[Ariken, Muhadaisi; Zhang, Fei] Xinjiang Univ, Coll Resources & Environm Sci, Key Lab, Wisdom City & Environm Modeling Higher Educ Inst, Urumqi 830046, Peoples R China; [Ariken, Muhadaisi; Zhang, Fei] Xinjiang Univ, Key Lab Oasis Ecol, Urumqi 830046, Xinjiang, Peoples R China; [Zhang, Fei] Natl Adm Surveying Mapping & Geoinformat, Engn Res Ctr Cent Asia Geoinformat Dev & Utilizat, Urumqi 830002, Peoples R China; [Liu, Kang] Chinese Acad Sci, Technol & Engn Ctr Space Utilizat, Key Lab Space Utilizat, Beijing 100094, Peoples R China; [Fang, Chuangling] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; [Kung, Hsiang-Te] Univ Memphis, Dept Earth Sci, Memphis, TN 38152 USA
推荐引用方式 GB/T 7714	Ariken, Muhadaisi,Zhang, Fei,Liu, Kang,et al. Coupling coordination analysis of urbanization and eco-environment in Yanqi Basin based on multi-source remote sensing data[J]. 中国科学院地理科学与资源研究所, 新疆大学,2020,114.
APA	Ariken, Muhadaisi,Zhang, Fei,Liu, Kang,Fang, Chuangling,&Kung, Hsiang-Te.(2020).Coupling coordination analysis of urbanization and eco-environment in Yanqi Basin based on multi-source remote sensing data.ECOLOGICAL INDICATORS,114.
MLA	Ariken, Muhadaisi,et al."Coupling coordination analysis of urbanization and eco-environment in Yanqi Basin based on multi-source remote sensing data".ECOLOGICAL INDICATORS 114(2020).