Evaluation model of the grey fuzzy on eco-environment vulnerability

Shi, Qing Xue; Lu, Zhaohua; Liu, Zhimei; Miao, Ying; Xia, Mengjing

doi:10.1007/s11676-007-0038-4

Cited by 8 publications

(5 citation statements)

References 2 publications

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“…The index system can also be applied to vulnerability research in similar regions, particularly arid regions. Moreover, the assessment method adopted in this study differs from the conventional method, using the administrative region (Shi et al 2007;Zhou et al 2011) or the grid as the assessment unit (Li et al 2006). The administrative regions and raster units were combined in this study.…”

Section: Analysis Of Vulnerability Evaluation Resultsmentioning

confidence: 99%

Methods and applications for ecological vulnerability evaluation in a hyper-arid oasis: a case study of the Turpan Oasis, China

et al. 2015

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The Turpan Oasis is a typical fragile environment that lies in an arid region of eastern Xinjiang and is affected by natural conditions and human activities. The severity of the land degradation and desertification in this area is increasing; therefore, ecological vulnerability evaluations are important for environmental management of the region. In this study, theories and methods of evaluating ecological vulnerability and the typical characteristics of ecological vulnerability were summarized. By combining the environmental characteristics of the research area and the driving factors of ecological vulnerability, a multilayer vulnerability evaluation index system was built, and a pressure-state-response model was established to evaluate the ecological vulnerability. GIS and remote sensing technologies were applied to extract each index and create a spatial distribution map of vulnerability. The results showed that the vulnerability index values ranged from 3.08 to 6.59, with an average value of 5.19. Regions with moderate vulnerability accounted for 81.85 % of the total area, whereas regions with light and serious vulnerability accounted for 4.19 and 13.95 % of the total area, respectively. Thus, more than 80 % of the area had moderate vulnerability, and nearly 14 % of the area had serious vulnerability. The degree of vulnerability increased from east to west, and the ecological vulnerability in the inner oasis was significantly lower than that in the outer oasis. The key factors for ecological restoration and reconstruction are to control desertification and to ensure ecological water use to the greatest extent.

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Section: Analysis Of Vulnerability Evaluation Resultsmentioning

confidence: 99%

Methods and applications for ecological vulnerability evaluation in a hyper-arid oasis: a case study of the Turpan Oasis, China

et al. 2015

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“…A comprehensive evaluation is key for comparative and decision-making analyses. There are many statistics-based methods, such as comprehensive index method [39], analytic hierarchy process [40], fuzzy mathematics method [41,42], multiple criteria decision making approaches [43,44], support vector machine [39,45], random forest [46], artificial neural networks [47], and Topsis method [42]. These methods are of great importance to qualitatively or quantitatively evaluate forest fire, forest sustainability, ecosystem management alternatives, and more.…”

Section: Compared With Statistics-based Methodsmentioning

confidence: 99%

“…These methods are of great importance to qualitatively or quantitatively evaluate forest fire, forest sustainability, ecosystem management alternatives, and more. [39][40][41][42][43][44][45][46][47]. However, some problems remain, such as the selection of the evaluation factors not being sufficiently comprehensive and objective, and unreasonable comprehensive evaluation methods with subjective factors and complex weight calculations lead to the evaluation results lacking comparability [39].…”

Section: Compared With Statistics-based Methodsmentioning

confidence: 99%

A Novel Comprehensive Evaluation Method of Forest State Based on Unit Circle

Zhang¹,

Gao²,

Zhang³

et al. 2018

Forests

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Comprehensive evaluation of forest state is the precondition and critical step for forest management. To solve the problem that the radar plot and unit circle only focus on the value of each the evaluation index, this paper proposes a novel method for comprehensively and simultaneously evaluating the functionality and inhomogeneity of forest state based on the modified unit circle method. We evaluated the forest state of the Quercus aliena BL. var. acuteserrata Maxim. ex Wenz. broad-leaved mixed forest in the Xiaolong Mountains Forest Area of Gansu Province and the Pinus koraiensis Sieb. et Zucc. broad-leaved mixed forest in Jilin Province in China. According to the principle of comprehensive, scientific and operability, 10 evaluation indices on forest structure and vitality were selected to construct the evaluation indicator system. Each index was normalized based on the assignment method and ensured to be strictly positive based on reciprocal transformation method. The areas and arc length of the closed graph, formed by connecting every two adjacent indicators, in the radar plot and unit circle were extracted. Based on the isoperimetric theorem (isoperimetric inequality), a comprehensive evaluation model was constructed. Compared with radar chart and unit circle method, each index in the newly proposed unit circle method is represented by an independent sector region, reflecting the contribution of the index to the overall evaluation result. Each index has the same relative importance weight, contributing to the estimation the relative sizes of each aspect of forest state. The unique area and arc length of the closed graph help summarize the overall performance with a global score. The expression effect of improved unit circle has been enhanced, and as an English proverb put it, “A picture is worth a thousand words.” The new proposed method simultaneously evaluates the functionality and inhomogeneity of the forest state and it is a powerful tool for the diagnosis of forest state problems and the decision-making of forest management.

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“…Numerous techniques have been adopted in previous studies for EVA, such as spatial principal component analysis (SPCA) [42], the grey theory and fuzzy mathematics [43], analytical hierarchy process (AHP) [36,[44][45][46], fuzzy AHP [47], and artificial neural network [24]. The choice of method is guided by the nature of available data and the EVA target system.…”

Section: Introductionmentioning

confidence: 99%

Investigating Eco-Environmental Vulnerability for China–Pakistan Economic Corridor Key Sector Punjab Using Multi-Sources Geo-Information

Kamran

Bian

et al. 2021

IJGI

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China-Pakistan economic corridor (CPEC), a critical part of the Belt and Road initiative (BRI), is subjected to rapid infrastructure development, which may lead to potential eco-environmental vulnerability. This study uses multi-source geo-information, and the multi-criteria decision-making (MCDM)-based best–worst method (BWM) to quantify the baseline eco-environmental vulnerability of one key CPEC sector—the Punjab province. The Punjab province is an important connection between northern and southern CPEC routes in Pakistan. In this study, we have established an indicator system consisting of twenty-two influential factors in a geospatial database to conduct eco-environmental vulnerability analysis. The overall setup is supported by a geographic information system (GIS) to perform spatial analysis. The resulting map was categorized into five vulnerability levels: very low, low, medium, high, and very high. The results revealed that the overall eco-environmental health of the Punjab province is reasonably good as 4.64% and 59.45% area of the key sector lies in ‘very low’ and ‘low’ vulnerability categories; however, there also exist highly vulnerable areas, particularly in the proximity of CPEC projects. Although high vulnerability areas constitute a very small percentage, only 0.08% of the Punjab province, still, decision-makers need to be aware of those regions and make corresponding protection strategies. Our study demonstrated that the MCDM-BWM-based EVA model could be effectively used to quantify vulnerability in other areas of CPEC. The findings of the study emphasize that management policies should be aligned with research-based recommendations for ecological protection, natural resource utilization, and sustainable development in regions participating in Belt and Road Initiative (BRI).

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Evaluation model of the grey fuzzy on eco-environment vulnerability

Cited by 8 publications

References 2 publications

Methods and applications for ecological vulnerability evaluation in a hyper-arid oasis: a case study of the Turpan Oasis, China

Methods and applications for ecological vulnerability evaluation in a hyper-arid oasis: a case study of the Turpan Oasis, China

A Novel Comprehensive Evaluation Method of Forest State Based on Unit Circle

Investigating Eco-Environmental Vulnerability for China–Pakistan Economic Corridor Key Sector Punjab Using Multi-Sources Geo-Information

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