A GIS-supported fuzzy-set approach for flood risk assessment

Abdalla, Rifaat; Elawad, Yasir Ali; Chen, Zhi; Han, Sang Soo; Xia, Rui

doi:10.1080/07011784.2014.881058

Cited by 19 publications

(14 citation statements)

References 20 publications

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“…Assigning criteria weights in this way does not allow obtaining a suitable assessment, as there is no theoretical background that supports a consistent assessment. Another study by Abdalla [19] used a web-based three-dimensional (3D) GIS approach for flood risk assessment, in which the Only limited studies of flood risk assessment (which include hazard, social, and economic vulnerability) in the GTA have been developed. A previous study [18] (which serves as the basis of the present research) generated flood risk index maps using GIS through the spatial combination of the flood hazard, social, and economic vulnerability layers.…”

Section: Gis-based Multi-criteria Approachmentioning

confidence: 99%

“…Assigning criteria weights in this way does not allow obtaining a suitable assessment, as there is no theoretical background that supports a consistent assessment. Another study by Abdalla [19] used a web-based three-dimensional (3D) GIS approach for flood risk assessment, in which the flood hazard was based on hydraulic models (using the software HEC-RAS) under hypothetical flow rates simulated using the Canadian Hydrographic Service. The footprint of buildings within the flood hazard area was used for analyzing the exposure.…”

Section: Gis-based Multi-criteria Approachmentioning

confidence: 99%

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Flood Risk Mapping Using GIS and Multi-Criteria Analysis: A Greater Toronto Area Case Study

2018

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Given the increase in flood events in recent years, accurate flood risk assessment is an important component of flood mitigation in urban areas. This research aims to develop updated and accurate flood risk maps in the Don River Watershed within the Great Toronto Area (GTA). The risk maps use geographical information systems (GIS) and multi-criteria analysis along with the application of Analytical Hierarchy Process methods to define and quantify the optimal selection of weights for the criteria that contribute to flood risk. The flood hazard maps were generated for four scenarios, each with different criteria (S1, S2, S3, and S4). The base case scenario (S1) is the most accurate, since it takes into account the floodplain map developed by the Toronto and Region Conservation Authority. It also considers distance to streams (DS), height above nearest drainage (HAND), slope (S), and the Curve Number (CN). S2 only considers DS, HAND, and CN, whereas S3 considers effective precipitation (EP), DS, HAND, and S. Lastly, S4 considers total precipitation (TP), DS, HAND, S, and CN. In addition to the flood hazard, the social and economic vulnerability was included to determine the total flood vulnerability in the watershed under three scenarios; the first one giving a higher importance to the social vulnerability, the second one giving equal importance to both social and economic vulnerability, and the third one giving more importance to the economic vulnerability. The results for each of the four flood scenarios show that the flood risk generated for S2 is the most similar to the base case (S1), followed by S3 and S4. The inclusion of social and economic vulnerability highlights the impacts of floods that are typically ignored in practice. It will allow watershed managers to make more informed decisions for flood mitigation and protection. The most important outcome of this research is that by only using the digital elevation model, the census data, the streams, land use, and soil type layers, it is possible to obtain a reliable flood risk map (S2) using a simplified method as compared to more complex flood risk methods that use hydraulic and hydrological models to generate flood hazard maps (as was the case for S1).

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Section: Gis-based Multi-criteria Approachmentioning

confidence: 99%

“…Assigning criteria weights in this way does not allow obtaining a suitable assessment, as there is no theoretical background that supports a consistent assessment. Another study by Abdalla [19] used a web-based three-dimensional (3D) GIS approach for flood risk assessment, in which the flood hazard was based on hydraulic models (using the software HEC-RAS) under hypothetical flow rates simulated using the Canadian Hydrographic Service. The footprint of buildings within the flood hazard area was used for analyzing the exposure.…”

Section: Gis-based Multi-criteria Approachmentioning

confidence: 99%

Flood Risk Mapping Using GIS and Multi-Criteria Analysis: A Greater Toronto Area Case Study

2018

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“…The literature reports that several works already integrate flood risk and hydraulic models in a GIS environment. For instance, Abdalla et al [68] presents a GIS-supported three-dimensional fuzzy risk assessment approach for flood risk assessment. This is based on the development of a fuzzy-set risk model, 3D GIS mapping, and a hydro-statistical simulation.…”

Section: Discussionmentioning

confidence: 99%

Radio Astronomy Demonstrator: Assessment of the Appropriate Sites through a GIS Open Source Application

Duarte

Teodoro

Maia

et al. 2016

IJGI

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Abstract:In the framework of Portuguese radio astronomical capacitation towards participation in the Square Kilometer Array (SKA) project, a site was selected for radio astronomical testing purposes and the development of a radio astronomical infrastructure. The site is within Herdade da Contenda (HC), a large national forest perimeter, located in Alentejo (Portugal). In order to minimize the impacts in the ecosystem and landscape, an application based on the Geographic Information System (GIS) open source environment was created, the HC Environmental Integrated Management System. This application combines several functionalities and menus with different characterization methods allowing the creation of multiple maps regarding the HC characteristics, such as Digital Elevation Model (DEM), Land Use Land Cover (LULC), Normalized Difference Vegetation Index (NDVI), groundwater vulnerability, erosion risk, flood risk and forest fire risk. Other geographical information can be added if necessary (human heritage visualization and fauna and flora). A decision making support tool was also developed. It incorporates an algorithm running through a series of assigned weights and eliminatory factors to find the locations best suited for the infrastructure with minimal impact to the local ecosystem. In order to test the application and the decision making tool, several maps were used as input in order to decide which sites are more adequate. The application developed can be adopted for other protected or natural areas.

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“…Knowing the chronicled record of the events and where such situations have happened, notwithstanding the geographic limits of their effects are apparently essential, primarily when consolidated with data on human population and distribution, along with other spatially circulated wonders that might apply to reaction and recuperation (Abdalla et al 2014). Regardless, GIS and spatial technologies that gather, analyze, and take into account visualization of such data, using advanced geomatics technologies in the form of GIS, remote sensing, GPS, and Photogrammetry.…”

Section: Challenges and Trendsmentioning

confidence: 99%

Evaluation of spatial analysis application for urban emergency management

Abdalla

2016

SpringerPlus

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BackgroundThis paper provides multidisciplinary scope to the utilization of geospatial data frameworks for urban disaster management with accentuation on particular events. The emergency management events presented in this review are universally known and represent high risk for different parts of the world.ResultsThe discussion starts with addressing the application issues related to how spatial analysis can be used intending to disaster management operations by characterizing its ease of use and impediments in managing the inquiries of vulnerability and hazard assessment. It also highlights best practices for the approaches to integrating spatial data for hazard mapping and risk perception.ConclusionsThe goal of this study is to give conceptual coverage to appropriate solutions for emergency preparedness and response, using spatial analysis and GIS. The paper emphasized that among different issues that may confront the use of spatial analysis, is the accuracy of data and time of processing, in addition to collective coordination of stakeholders working in the field. The findings of this research conclude that a challenge to possible risk reduction is furnishing disaster managers with access to information and methodologies that may help them in analyzing, evaluating and mapping hazard models.

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A GIS-supported fuzzy-set approach for flood risk assessment

Cited by 19 publications

References 20 publications

Flood Risk Mapping Using GIS and Multi-Criteria Analysis: A Greater Toronto Area Case Study

Flood Risk Mapping Using GIS and Multi-Criteria Analysis: A Greater Toronto Area Case Study

Radio Astronomy Demonstrator: Assessment of the Appropriate Sites through a GIS Open Source Application

Evaluation of spatial analysis application for urban emergency management

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