Flood Risk Zonation Using a Multi-Criteria Spatial Group Fuzzy-Ahp Decision Making and Fuzzy Overlay Analysis

Hasanloo, Mahmoud; Pahlavani, Parham; Bigdeli, Behnaz

doi:10.5194/isprs-archives-xlii-4-w18-455-2019

Cited by 15 publications

(5 citation statements)

References 16 publications

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“…After generating the fuzzy membership functions, the fuzzy overlay analysis is performed using ArcMap 10.8. Recent studies have utilized fuzzy overlay analysis for different applications (Hasanloo et al,2019;Mallik et al, 2021). Using the fuzzy overlay tool in ArcMap, a multicriteria overlay analysis can examine the likelihood that a phenomenon belongs to many sets.…”

Section: Flood Exposure Indexmentioning

confidence: 99%

Geo-Spatial Analysis of Built-Environment Exposure to Flooding: Iowa Case Study

Alabbad¹,

Demir²

2024

Preprint

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Flooding is the most frequent type of natural disaster, inducing devastating damages at large and small spatial scales. Flood exposure analysis is a critical part of flood risk assessment. While most studies analyze the exposure elements separately, it is crucial to perform a multi-parameter exposure analysis and consider different types of flood zones to gain a comprehensive understanding of the impact and make informed mitigation decisions. This research analyzes the population, properties, and road networks exposed to the 100, 200, and 500-year flood events at the county level in the State of Iowa using geospatial analytics. We also proposed a flood exposure index at the county level using fuzzy overlay analysis to help find the most impacted county. During flooding, results indicate that the county-level percentage of displaced population, impacted properties, and road length can reach up to 46%, 41%, and 40%, respectively. We found that the most exposed buildings and roads are laid in residential areas. Also, 25% of the counties are designated as very high-exposure areas. This study can help many stakeholders identify vulnerable areas and ensure equitable distribution of investments and resources toward flood mitigation projects.

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Section: Flood Exposure Indexmentioning

confidence: 99%

Geo-Spatial Analysis of Built-Environment Exposure to Flooding: Iowa Case Study

Alabbad¹,

Demir²

2024

Preprint

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“…The fuzzy overlay method utilizes mathematical or logical functions to rank and integrate data that is difficult to measure, leading to a scale of suitability (Mitchell, 2012). It enables the examination of the likelihood of a condition being part of various sets in a multicriteria overlay study (Hasanloo et al, 2019). The fuzzy overlay is utilized to ascertain the potential membership of the phenomenon in member sets (Vojteková & Vojtek, 2019), and it also examines the associations among the memberships of multiple sets (Baidya et al, 2014;Akgun et al, 2012).…”

Section: Location Entropymentioning

confidence: 99%

Exploring the Nexus of Topographical Factors and Agriculture: Identifying Suitable Land for Agriculture in Poonch District, Jammu and Kashmir

Bose,

Iqbal,

Irshad

2024

Preprint

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Agricultural land is essential for food production and income generation. The present study was conducted to understand the relationship between topographical factors and agricultural land and to identify suitable land for agriculture in the Poonch district. Eight topographical factors, such as elevation, slope, aspect, curvature, relief amplitude, standard deviation of elevation, topographical wet index, and solar radiation, were chosen for the study. Topographical information was extracted from the Shuttle Radar Topography Mission Digital Elevation Model (SRTM DEM), and agricultural land was digitized from ArcGIS Pro base map and Google Earth high-resolution satellite images. The location entropy technique was used to determine the relationship between topographical factors and agricultural land. Suitable land for agriculture was identified through fuzzy overlay analysis in ArcGIS Pro using chosen parameters by considering the threshold value obtained in the location entropy. The findings revealed 34.98 square kilometers of suitable agricultural land. The survey among local farmers shows profitable agriculture in the region, and utilizing this suitable land could significantly improve farmers' livelihoods and the production of food grains. This specific area offers a promising opportunity for advanced farming techniques. Harnessing the potential of this identified area can enhance agricultural production, resulting in higher crop yields and economic benefits for the local farmers.

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“…This allows the researchers to cater the index towards the unique vulnerabilities of the local population. This knowledge can also give researchers the ability to use this expert opinion in weighing individual factors more within the indexing processes (Hasanloo et al, 2019).…”

Section: Vulnerability Indexesmentioning

confidence: 99%

“…Artigas et al (2016) and Percival (2019) used no weighting scheme; therefore, each attribute equally influenced the end score. Other studies utilized expert opinion to create a weighting scheme (Rincón et al, 2018;Hasanloo et al, 2019), with an Analytical Hierarchy Process (AHP) utilized to determine the final weighting scheme. It was determined to use an equal weighting scheme, except for elevation due to its prevalence in the literature, and impact on all three types of flood.…”

Section: Multi-criteria Decision Analysismentioning

confidence: 99%

“…The central focus of the flood hazard analysis was to create a comprehensive flood map that did not require significant predictive hydrological modelling. Based on the criteria, the methods were derived from nine different flood hazard studies that fit this scope (Artigas et al, 2016;Bick et al, 2018;Darabi et al, 2020;Hasanloo et al, 2019;Jalayer et al, 2014;Rincón et al, 2018;Sakieh, 2017;Tehrany et al, 2014;Wu et al, 2019). The geographic datasets utilized in these studies were recorded, and a search through the various open data portals was undertaken.…”

Section: Flood Hazard Datamentioning

confidence: 99%

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Access and equity implications of open data for flood risk analysis in Metro Vancouver

Gouett-Hanna

2023

Preprint

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<p>This paper explores the current landscape of open data in a large Canadian metropolitan area. To achieve this, the creation of a flood risk map for Metro Vancouver was undertaken to serve as a case study. As a region with a diverse geography and population, it serves as an ideal candidate for a flood risk assessment. Using the strong base of recent literature within the hazard risk subdiscipline, a comprehensive flood risk assessment was undertaken for the Metro Vancouver area within a GIS software. To quantify the level of risk within the study area, variables were collected from government open data portals to create hazard, exposure, and vulnerability indexes. These data were then transformed in GIS and statistical software to create mapped indexes to highlight areas most at risk of a disaster. This data-intensive process revealed the access and equity implications created by differences in data availability between different municipalities in a contiguous region.</p>

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Flood Risk Zonation Using a Multi-Criteria Spatial Group Fuzzy-Ahp Decision Making and Fuzzy Overlay Analysis

Cited by 15 publications

References 16 publications

Geo-Spatial Analysis of Built-Environment Exposure to Flooding: Iowa Case Study

Geo-Spatial Analysis of Built-Environment Exposure to Flooding: Iowa Case Study

Exploring the Nexus of Topographical Factors and Agriculture: Identifying Suitable Land for Agriculture in Poonch District, Jammu and Kashmir

Access and equity implications of open data for flood risk analysis in Metro Vancouver

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