GIS-based flood risk model evaluated by Fuzzy Analytic Hierarchy Process (FAHP)

Sukcharoen, Tharapong; Weng, Jingnong; Charoenkalunyuta, Teetat

doi:10.1117/12.2240268

Cited by 7 publications

(6 citation statements)

References 9 publications

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“…For instance, the building costs for industrial, service, tourist service, dwellings, and churches are 678, 1297, 1222, 1024, and 1576 €/m 2 , respectively. Moreover, the distance from roads is a crucial factor that indicates the vulnerability of the road network to floods, owing to road damage and mobility issues (Sukcharoen et al 2016 ). In this study, the OpenStreetMap (OSM) served as a data source for roads (Bennet 2010 ; Geofabrik 2022 ).…”

Section: Methodsmentioning

confidence: 99%

A geospatial analysis of flood risk zones in Cyprus: insights from statistical and multi-criteria decision analysis methods

Ghanem,

Zaifoglu

2024

Environ Sci Pollut Res

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Over the past few decades, flood disasters have emerged as the predominant natural hazard in Cyprus, primarily driven by the escalating influence of climate change in the Mediterranean region. In view of this, the objective of this study is to develop a geospatial flood risk map for the island of Cyprus by considering 14 flood hazard factors and five flood vulnerability factors, utilizing geographic information systems (GIS) and remotely sensed datasets. A comparative assessment was conducted for hazard mapping, employing statistical methods of frequency ratio (FR) and FR Shannon’s entropy (FR-SE), and multi-criteria decision analysis method of fuzzy analytic hierarchy process (F-AHP). The main findings indicated that the FR method exhibited the highest predictive capability, establishing it as the most suitable approach for flood hazard mapping. Additionally, vulnerability factors were aggregated using F-AHP to generate the vulnerability map. The resulting flood risk map, which is the product of flood hazard and flood vulnerability, revealed that 9% of the island was located within highly risky regions, while 13.2% was classified as moderate risk zones. Spatial analysis of these high-risk areas indicated their concentration in the primary city districts of the island. Therefore, to mitigate future risks within these cities, an analysis of potential expansion zones was conducted, identifying the best-suited zone exhibiting the lowest risk. The generated flood risk map can serve as a valuable resource for decision-makers on the island, facilitating the integration of flood risk analysis into urban management plans.

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Section: Methodsmentioning

confidence: 99%

A geospatial analysis of flood risk zones in Cyprus: insights from statistical and multi-criteria decision analysis methods

Ghanem,

Zaifoglu

2024

Environ Sci Pollut Res

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“…AHP [3,12,15,16,[20][21][22]27,29,32,35,36,43,47,48,63,64,75,82,[85][86][87]89,90,92,94,97,98,102,103,105,108,113,114,116,[118][119][120][121][122]124,128,133] [ 42,65,74,96,101,111,117,123] [30] [17,…”

Section: Preparedness Recovery Responsementioning

confidence: 99%

Big Data in Criteria Selection and Identification in Managing Flood Disaster Events Based on Macro Domain PESTEL Analysis: Case Study of Malaysia Adaptation Index

Abdullah

Zainol

Thian

et al. 2022

BDCC

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The impact of Big Data (BD) creates challenges in selecting relevant and significant data to be used as criteria to facilitate flood management plans. Studies on macro domain criteria expand the criteria selection, which is important for assessment in allowing a comprehensive understanding of the current situation, readiness, preparation, resources, and others for decision assessment and disaster events planning. This study aims to facilitate the criteria identification and selection from a macro domain perspective in improving flood management planning. The objectives of this study are (a) to explore and identify potential and possible criteria to be incorporated in the current flood management plan in the macro domain perspective; (b) to understand the type of flood measures and decision goals implemented to facilitate flood management planning decisions; and (c) to examine the possible structured mechanism for criteria selection based on the decision analysis technique. Based on a systematic literature review and thematic analysis using the PESTEL framework, the findings have identified and clustered domains and their criteria to be considered and applied in future flood management plans. The critical review on flood measures and decision goals would potentially equip stakeholders and policy makers for better decision making based on a disaster management plan. The decision analysis technique as a structured mechanism would significantly improve criteria identification and selection for comprehensive and collective decisions. The findings from this study could further improve Malaysia Adaptation Index (MAIN) criteria identification and selection, which could be the complementary and supporting reference in managing flood disaster management. A proposed framework from this study can be used as guidance in dealing with and optimising the criteria based on challenges and the current application of Big Data and criteria in managing disaster events.

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“…The FAHP is a method that combines fuzzy mathematical theory with the analytic hierarchy process (AHP). To obtain the weight of each index more accurately, fuzzy mathematics was introduced to construct the fuzzy consistent judgment matrix through the comparison of two elements, thereby avoiding the difficulty in adjusting the consistency of the comparison judgment matrix in AHP [46][47][48].…”

Section: Generation Of Judgment Matrixmentioning

confidence: 99%

Use of Fuzzy Analytic Hierarchy Process and Environmental Gini Coefficient for Allocation of Regional Flood Drainage Rights

Zhang

Shen

Liu

et al. 2020

IJERPH

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To solve the flood drainage conflict among different regions of the water basin when the flood occurs, it is of great significance to study the allocation of flood drainage rights. The allocation of flood drainage rights requires flood management departments to consider the influences of socioeconomic differences among different regions on flood control operations to realize sustainable development. Under the pattern of the total amount allocation of “watershed–administrative regions”, the evaluation index system of flood drainage rights allocation incorporated four aspects: natural conditions, level of social development, level of economic development, and technology and management. The fuzzy analytic hierarchy process (FAHP) was used to calculate the weight coefficient of each allocation index and the initial distribution’s proportion of the total amount in each region. Land area, population, gross domestic product (GDP), and sewage treatment capacity were selected as the evaluation indexes of the environmental Gini coefficient, and the environmental Gini coefficient method was used to evaluate and adjust the initial allocation of each region. Taking the allocation of flood drainage rights in the Taihu Basin as a case study, the final allocation results were obtained after initial allocation and feedback optimization. By evaluating the environmental Gini coefficient of each evaluation index, it is concluded that the final allocation could meet the requirements of fair allocation in each administrative region and be effectively implemented. Optimal allocation of the flood drainage rights in the Taihu Basin can contribute to overall flood control management, the reduction of flood disasters, and the stable development of society in the basin.

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GIS-based flood risk model evaluated by Fuzzy Analytic Hierarchy Process (FAHP)

Cited by 7 publications

References 9 publications

A geospatial analysis of flood risk zones in Cyprus: insights from statistical and multi-criteria decision analysis methods

A geospatial analysis of flood risk zones in Cyprus: insights from statistical and multi-criteria decision analysis methods

Big Data in Criteria Selection and Identification in Managing Flood Disaster Events Based on Macro Domain PESTEL Analysis: Case Study of Malaysia Adaptation Index

Use of Fuzzy Analytic Hierarchy Process and Environmental Gini Coefficient for Allocation of Regional Flood Drainage Rights

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