2015
DOI: 10.1016/j.ecolmodel.2014.12.015
|View full text |Cite
|
Sign up to set email alerts
|

Urban ecological security assessment for cities in the Beijing–Tianjin–Hebei metropolitan region based on fuzzy and entropy methods

Abstract: a b s t r a c tBased on the pressure-state-response conceptual model, we constructed the urban ecological security evaluation index system for 13 cities in the Beijing-Tianjin-Hebei metropolitan region from 2003 to 2014, where integrated development has occurred up to the national strategic level. The entropy-weight method was used to calculate the index weights to eliminate subjectivity. After the perfection and detailing of the increased half-ladder membership function and the confirmation of the membership … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
62
0

Year Published

2016
2016
2023
2023

Publication Types

Select...
4
3
1

Relationship

0
8

Authors

Journals

citations
Cited by 156 publications
(70 citation statements)
references
References 38 publications
(41 reference statements)
0
62
0
Order By: Relevance
“…Qi et al (2012), meanwhile, described the significant impacts of regional climate change, economic development, land use and constant increases in food production on arid regions in East Asia. Baolong Han et al analyzed the complex niches of large Chinese cities in the course of population concentration from the perspective of environmental niches, the social and eco-environment, and economic niches (Han et al, 2014), and carried out a quantitative evaluation of ecological security in the Beijing-Tianjin-Hebei region (Han et al, 2015a). Based on remote sensing data of land use and the normalized difference vegetation index, Cui et al (2015) constructed an environmental quality index to analyze the effect of Chinese urbanization over the previous ten years.…”
Section: Social-economic-natural Complex Ecosystem Collaborative Mechmentioning
confidence: 99%
“…Qi et al (2012), meanwhile, described the significant impacts of regional climate change, economic development, land use and constant increases in food production on arid regions in East Asia. Baolong Han et al analyzed the complex niches of large Chinese cities in the course of population concentration from the perspective of environmental niches, the social and eco-environment, and economic niches (Han et al, 2014), and carried out a quantitative evaluation of ecological security in the Beijing-Tianjin-Hebei region (Han et al, 2015a). Based on remote sensing data of land use and the normalized difference vegetation index, Cui et al (2015) constructed an environmental quality index to analyze the effect of Chinese urbanization over the previous ten years.…”
Section: Social-economic-natural Complex Ecosystem Collaborative Mechmentioning
confidence: 99%
“…The key issue in evaluating ecological security (ES) from the indicators was how to weigh each indicator with minimal subjectivity [51]. Claude Elwood Shannon put forward the concept of entropy and introduced information theory [59].…”
Section: Entropy Methods For Index Weightsmentioning
confidence: 99%
“…Claude Elwood Shannon put forward the concept of entropy and introduced information theory [59]. The entropy method is a mathematical method for calculating the index weight that is based on the comprehensive consideration of various factors that entropy information provides, and it has been widely used [28,51,60]. This approach assumes that the number of eco-security evaluation indexes of the evaluation object is m; they are XI (i = 1,2,3…,m) and we obtained the statistics for each indicator, assuming the matrix is R′ = (r ij ′) m×n (i = 1,2,…,m j = 1,2,…,n), defi ning r ij as the statistics of a certain index in a particular year.…”
Section: Entropy Methods For Index Weightsmentioning
confidence: 99%
See 1 more Smart Citation
“…So, the assessment of water environmental vulnerability is the process of multiple objective decision-makings, in which mathematics model needs to be established to provide scientific basis for the sustainable water environmental management. General assessment methods included fuzzy set theory, artificial neural network model, analytic hierarchy process and so on [2][3][4]. Those assessment methods have some difficulties for assessing complex uncertain water resources system vulnerability rationally.…”
Section: Introductionmentioning
confidence: 99%