Environmental vulnerability assessment for mainland China based on entropy method

Zhao, Jincai; Ji, Guangxing; Tian, Yuan; Chen, Yulong; Wang, Zheng

doi:10.1016/j.ecolind.2018.04.016

Cited by 224 publications

(86 citation statements)

References 47 publications

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“…The weight for each indicator in the vulnerability assessment was determined by averaging the weight calculated through the AHP and the entropy method (Equation (5)). For details on the AHP and entropy method, please refer to Saaty [58], Xu et al, [59], Zhao et al (2018) [60] and references therein.…”

Section: Determining the Weight For Each Indicatormentioning

confidence: 99%

“…The high temperature and low speed of lava flow can be mitigated by engineering measures [11,26]. According to previous research, volcanic ash can seriously affect people's health [72,73], buildings [53,59], infrastructure [60] and pollute water sources [61]. In particular, the potential impact of ash fall on the northern airport of Tenerife should be carefully considered, as the northern airport is affected by tephra in eruptive Scenario 1.…”

Section: Volcanic Risk Managementmentioning

confidence: 99%

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Testing a Comprehensive Volcanic Risk Assessment of Tenerife by Volcanic Hazard Simulations and Social Vulnerability Analysis

Liu

Chen

et al. 2020

IJGI

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Volcanic activity remains highly detrimental to populations, property and activities in the range of its products. In order to reduce the impact of volcanic processes and products, it is critically important to conduct comprehensive volcanic risk assessments on volcanically active areas. This study tests a volcanic risk assessment methodology based on numerical simulations of volcanic hazards and quantitative analysis of social vulnerability in the Spanish island of Tenerife, a well-known tourist destination. We first simulated the most likely volcanic hazards in the two eruptive scenarios using the Volcanic Risk Information System (VORIS) tool and then evaluated the vulnerability using a total of 19 socio-economic indicators within the Vulnerability Scoping Diagram (VSD) framework by combining the analytic hierarchy process (AHP) and the entropy method. Our results show good agreement with previous assessments. In two eruptive scenarios, the north and northwest of the island were more exposed to volcanic hazards, and the east registered the highest vulnerability. Overall, the northern municipalities showed the highest volcanic risk in two scenarios. Our test indicates that disaster risk varies greatly across the island, and that risk reduction strategies should be prioritized on the north areas. While refinements to the model will produce more accurate results, the outputs will still be beneficial to the local authorities when designing policies for volcanic risk reduction policies in Tenerife. This study tests a comprehensive volcanic risk assessment for Tenerife, but it also provides a framework that is applicable to other regions threatened by volcanic hazards.

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Section: Determining the Weight For Each Indicatormentioning

confidence: 99%

Section: Volcanic Risk Managementmentioning

confidence: 99%

Testing a Comprehensive Volcanic Risk Assessment of Tenerife by Volcanic Hazard Simulations and Social Vulnerability Analysis

Liu

Chen

et al. 2020

IJGI

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“…e corresponding brittleness entropies can be derived according to equations (5) and (17). e normalized results have been listed in Table 4.…”

Section: Active Object/subsystemmentioning

confidence: 99%

“…e corresponding evaluation methods can be roughly divided into five categories currently [5], and these methods are proposed based on the index system [6][7][8], the vulnerability curve [9,10], the layer superposition [11,12], graph theory [13,14], and the cellular automata [15,16], respectively. ese methods are widely used in chemical industrial park [5], environmental vulnerability [17], power grids [18,19], flood vulnerability and disaster [20,21], natural gas pipelines [22], firefighting emergency response [23] and groundwater vulnerability [24,25], and so on. In order to prevent and control disaster accidents, the brittleness of the complex system has been conducted in-depth research at home and abroad.…”

Section: Introductionmentioning

confidence: 99%

Brittleness Risk Evaluation of Mine Safety Based on Brittle Relational Entropy

Xiang

Zhou

Hong

et al. 2019

Mathematical Problems in Engineering

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Mineral extracting involves lots of uncertain factors which take on the typically nonlinear characteristics. To find out the accidents caused by main factors and make clear of disaster-causing factors and risk sources, a modified risk evaluation model-associated interaction effect analysis method was constructed from four aspects of man subsystem, machine subsystem, working environment subsystem, and operations management subsystem. With this model, the theory of brittleness relation was applied to analyze closely the connection between mine safety and various subsystems and their interaction effects on mine safety. Furthermore, brittleness factors were also proposed according to the characteristics of underground mining. Finally, based on data from working fields and investigation results, taking a typical mine as an example, the analysis was carried out. The results show that their entropies of brittle relation were equal to 0.006 ± 0.201 i, −0.012 ± 0.221 i, 0.142 ± 0.237 i, and 0.041 ± 0.202 i, respectively. More exactly speaking, the main brittleness influenced on its safety is the environment subsystem in the mine. Therefore, the key to controlling mine accidents is to introduce advanced equipment and improve mechanization level to reach the intrinsic safety of the mining enterprise. The research proves that the modified risk analysis model based on brittleness relation theory is an effective approach to making clear of the state of mine safety and keeping accidents away in time by taking corresponding measures.

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“…The environmental vulnerability map represents a decision-making strategy for sustainable planning and implementation of environmental recovery measures. KEYWORDS: environmental fragility, environmental planning, geoprocessing.Atualmente, informações físicas e ambientais podem ser analisadas de forma integrada em ambiente de Sistema de Informações Geográficas (SIG), gerando um mapa de vulnerabilidade, ou seja, um produto síntese que expressa os diferentes graus de fragilidade do ambiente em função de suas características(CABRAL et al, 2011;SAHOO;DHAR;KAR, 2016;ZHAO et al, 2018). ambiental também pode ser definida como a susceptibilidade de um sistema à degradação ambiental, considerando-se: a exposição do sistema às pressões ambientais típicas de atividades agroindustriais, a sensibilidade do sistema às pressões exercidas, e a capacidade de resposta do meio(FIGUEIREDO, 2010).Os fatores que influenciam a vulnerabilidade ambiental podem ser classificados de forma mais simples, como fatores: naturais, ambientais e humanos.…”

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Atributos Físico-Quimicos Como Indicadores Da Qualidade Do Solo Em Zonas Ripárias

Melo¹,

Silva²,

Ribeiro³

et al. 2019

Ensaios Nas Ciências Agrárias E Ambientais 2

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Environmental vulnerability assessment for mainland China based on entropy method

Cited by 224 publications

References 47 publications

Testing a Comprehensive Volcanic Risk Assessment of Tenerife by Volcanic Hazard Simulations and Social Vulnerability Analysis

Testing a Comprehensive Volcanic Risk Assessment of Tenerife by Volcanic Hazard Simulations and Social Vulnerability Analysis

Brittleness Risk Evaluation of Mine Safety Based on Brittle Relational Entropy

Atributos Físico-Quimicos Como Indicadores Da Qualidade Do Solo Em Zonas Ripárias

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