Dynamic assessment of island ecological environment sustainability under urbanization based on rough set, synthetic index and catastrophe progression analysis theories

Gao, Sheng; Sun, Hai; Zhao, Lin; Wang, Runjie; Xu, Min; Cao, Guangxi

doi:10.1016/j.ocecoaman.2019.04.017

Cited by 40 publications

(16 citation statements)

References 14 publications

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“…Similarly, Zhang et al [15] investigated the effects of extreme rainfall on ecosystem vulnerability in the middle and lower reaches of the Yangtze River in China and showed that both human-dominated ecosystems (e.g., agro-ecosystems) and natural ecosystems are vulnerable to extreme climate events. The current vulnerability studies of typical ecosystems that are particularly sensitive to global climate change mainly focus on coastal zones [16][17][18] and wetland regions [19,20]. However, there are no studies on the vulnerability of high-elevation ecosystems, such as the Qinghai-Tibet Plateau, the largest and highest plateau in the world.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Distribution and Influencing Factors of Ecosystem Vulnerability on Qinghai-Tibet Plateau

Song

2021

IJERPH

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As the “Third Pole”, the Qinghai-Tibet Plateau is threatened by environmental changes. Ecosystem vulnerability refers to the sensitivity and resilience of ecosystems to external disturbances. However, there is a lack of relevant studies on the driving factors of ecosystem vulnerability. Therefore, based on spatial principal components analysis and geographic detectors methods, this paper evaluates the ecosystem vulnerability and its driving factors on the Qinghai-Tibet Plateau from the years 2005 to 2015. The results were as follows: (1) The ecosystem vulnerability index (EVI) of the Qinghai-Tibet Plateau is mainly heavy and extreme, showing a gradually increasing trend from southeast to northwest. (2) The spatial heterogeneity of the EVI is significant in the southeast and northwest, but not in the southwest and central parts. (3) Analysis of influencing factors shows that environmental factors have more significant effects on EVI than socioeconomic variables, facilitating the proposal of adequate policy implications. More efforts should be devoted to ecological protection and restoration to prevent grassland degradation and desertification in the high-EVI areas in northwest. The government is also urged to improve the ecological compensation mechanisms and balance ecological protection and residents’ development needs in the southeast.

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Section: Introductionmentioning

confidence: 99%

Spatiotemporal Distribution and Influencing Factors of Ecosystem Vulnerability on Qinghai-Tibet Plateau

Song

2021

IJERPH

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“…If such a mutually-constraining relationship does not exist, then the minimum value is adopted according to catastrophe theory, meaning that the minimum value of the catastrophe level is passed to the parent node. At present, catastrophe theory has been widely applied in the field of ecological environments, including assessing island ecological environments [36], sustainable use of urban water resources [37] and risks of water pollution [38].…”

Section: Catastrophe Progression Methodsmentioning

confidence: 99%

Micro-scale Flood Hazard Assessment Based on Catastrophe Theory and an Integrated 2-D Hydraulic Model: A Case Study of Gongshuangcha Detention Basin in Dongting Lake Area, China

Shen

Qian

Xia

et al. 2020

IJGI

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Assessments of urban flood hazards are crucial for planning and early warning flood system design. Moreover, hazard risk assessment is useful for emergency planning and insurance. There are two common methods for conducting flood hazard risk assessments (FHRA): those based on physical models and those based on parameters. Although physical models are able to simulate flood propagation processes accurately, they also have obvious shortcomings. Parameter-based FHRAs are more comprehensive because they emphasize the analysis of hazard factors. However, this approach also has various flaws, including its qualitative, macro-scale and high subjective nature. In this study, the strengths of both methods were combined to develop a new micro-scale FHRA. Taking the FHRA of the flood storage and detention area of Dongting Lake as an example, this study used high-precision digital elevation model (DEM) data generated from an airborne light detection and ranging (LiDAR) point cloud to construct a two-dimensional (2-D) flood propagation model. Micro-scale FHRAs were then performed using eight selected FHR indicators based on catastrophe theory. By automatically calculating the FHR value of each assessment unit based on hierarchical recursion, the catastrophe theory and catastrophe progression method effectively avoided uncertainty in weight assignment, which is an issue commonly faced by parameter-based methods. The FHRA results obtained under 144 different sequences of assessment indicators also show that the proposed method has a low sensitivity to the ranking of FHR indicators, as well as a high fault tolerance for different assessment results arising from subjective rankings by humans.

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“…Since the establishment of the evaluation index system for the sustainable development of islands in 2004, many scholars have successively evaluated the sustainable development of islands (Xu et al, 2020). So far, representative evaluation models for the sustainable development include analytic hierarchy process (Zhu and Wang, 2017), ecological footprint model (Fang et al, 2018), variable fuzzy set theory comprehensive evaluation model (Ke et al, 2014), and catastrophe progression method ( Gao et al, 2019). The existing island evaluation methods are not perfect.…”

mentioning

confidence: 99%

Comprehensive Evaluation of Environmental Dimension Reduction of Multi-Type Islands: A Sustainable Development Perspective

Chen

Liu

Xiao

et al. 2021

Preprint

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In recent years, the exploration and sustainable development of islands is getting more and more attention around the world. However, the development of China's islands is somewhat disorder and spatial unbalanced. Therefore, we need to conduct a scientific assessment of the islands in order to fully understand the islands. In this paper, We analyze the possible development path of the islands by evaluating the value of the islands. To be specific, we present an extensive evaluate model design based on analysis of the environmental resources conditions, economic values, and existing problems of the seven typical islands in China. This model is applied to evaluate the sustainability levels and development advantages of seven typical islands. The island’s evaluation results are consistent with the island’s actual development level, which proves that the model is believable. Generally, the more indicators involved in the evaluation model, the more accurate the evaluation result will be. However, numerous indicators will cause two problems. One is that some indicators are highly correlated and make the evaluation results inaccurate. Therefore, it is necessary to remove redundant indicators; the other is that the calculation process will be cumbersome. In this study, we used factor analysis to solve the problems, making the evaluation results more accurate. Meantime, the experiment has proved that the model can simultaneously use multiple types of islands as samples for unified evaluation.

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Dynamic assessment of island ecological environment sustainability under urbanization based on rough set, synthetic index and catastrophe progression analysis theories

Cited by 40 publications

References 14 publications

Spatiotemporal Distribution and Influencing Factors of Ecosystem Vulnerability on Qinghai-Tibet Plateau

Spatiotemporal Distribution and Influencing Factors of Ecosystem Vulnerability on Qinghai-Tibet Plateau

Micro-scale Flood Hazard Assessment Based on Catastrophe Theory and an Integrated 2-D Hydraulic Model: A Case Study of Gongshuangcha Detention Basin in Dongting Lake Area, China

Comprehensive Evaluation of Environmental Dimension Reduction of Multi-Type Islands: A Sustainable Development Perspective

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