Quantitative evaluation and spatial differentiation of ecoenvironmental livability in Zhejiang Province, China

doi:10.1007/s11629-019-5477-9

CORC > 成都山地灾害与环境研究所 > 中国科学院水利部成都山地灾害与环境研究所 > Journal of Mountain Science > Journal of Mountain Science-2020 > Vol17 No.6

	Quantitative evaluation and spatial differentiation of ecoenvironmental livability in Zhejiang Province, China
	Wang Yi; Zhu Ying-ming; Yu Mao-jun; Xu Jing
刊名	JOURNAL OF MOUNTAIN SCIENCE
	2020
卷号	17 期号:6 页码:1491-1508
关键词	Eco-environment Livability Quantitative evaluations Spatial differentiation Zhejiang Province
ISSN号	1672-6316
DOI	10.1007/s11629-019-5477-9
文献子类	Article
英文摘要	The scientific analyses of the spatial patterns of regional eco-environment livability, along with the explorations of the correlations between ecoenvironments and population and economic activity distributions, are of major significance in the guidance of the coordinated development between social economies, natural resources, and environments. In this study, the topography, climate, hydrology, land cover, air quality, and the dangers presented by natural hazards in the study area were investigated in order to establish an evaluation model for the regional eco-environmental livability. Then, the observed spatial patterns and regional differences in the eco-environmental livability, as well as their relationships with the distributions of population and economic activities in Zhejiang Province, were investigated. The results showed that the ecoenvironmental livability in Zhejiang Province displayed a gradual decreasing trend from southwest to northeast, as well as from the mountains to the hills, valleys, and plains areas. During the compartmentalization of the eco-environmental livability, it was observed that the lowest livable area covered the largest population, accounting for approximately 29.64% of the total population in the study area. The higher livable areas covered the widest land areas, accounting for approximately 26.15% of the total area. Moreover, it was found that the eco-environmental livability in the mountain areas was higher than that in the plain areas in Zhejiang Province. Furthermore, the ecoenvironmental livability was found to have a significant exponential relationship with the population and GDP densities of Zhejiang Province, with the R-2 of the curve-fittings reaching 0.835 and 0.656, respectively. However, it was determined that the coefficient of the exponential function was negative, which indicated that a strong negative relationship existed between the eco-environmental livability and densities of the population and economic activities. It was assumed that the impacts of anthropogenic factors were the fundamental causes of this negative correlation. This study introduced two new factors (air quality and natural hazards) into the evaluation framework of eco-environmental livability. As a result, a more comprehensive model was established for the evaluation of eco-environmental livability in certain segments of the study area. Additionally, the correlation between eco-environment livability and human activities was discussed in-depth, which can potentially provide theoretical and practical guidance for the implementation of eco-livability in China, and possibly even those of other vast developing countries.
电子版国际标准刊号	1993-0321
语种	英语
WOS记录号	WOS:000538038700016
内容类型	期刊论文
源URL	[http://ir.imde.ac.cn/handle/131551/46847]
专题	Journal of Mountain Science_Journal of Mountain Science-2020_Vol17 No.6
推荐引用方式 GB/T 7714	Wang Yi,Zhu Ying-ming,Yu Mao-jun,et al. Quantitative evaluation and spatial differentiation of ecoenvironmental livability in Zhejiang Province, China[J]. JOURNAL OF MOUNTAIN SCIENCE,2020,17(6):1491-1508.
APA	Wang Yi,Zhu Ying-ming,Yu Mao-jun,&Xu Jing.(2020).Quantitative evaluation and spatial differentiation of ecoenvironmental livability in Zhejiang Province, China.JOURNAL OF MOUNTAIN SCIENCE,17(6),1491-1508.
MLA	Wang Yi,et al."Quantitative evaluation and spatial differentiation of ecoenvironmental livability in Zhejiang Province, China".JOURNAL OF MOUNTAIN SCIENCE 17.6(2020):1491-1508.