Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis

Rahmati, Omid; Zeinivand, Hossein; Besharat, Mosa

doi:10.1080/19475705.2015.1045043

Cited by 343 publications

(177 citation statements)

References 76 publications

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“…This method was applied to a section of the Red River in Southern Manitoba, Canada. Rahmati et al [69] aimed to assess the efficiency of the analytical hierarchical process to identify potential flood hazard zones by comparing with the results of a hydraulic model. Initially, four parameters, like distance to river, land use, elevation and land slope, were used in some parts of the Yasooj River, Iran.…”

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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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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“…Random points were used in the analysis, in that utilizing the polygon format of the inventory is problematic for the algorithm and exaggerates the results. In most of the similar natural hazard modelling's inventory data was used as a point format Lee et al 2012b;Rahmati et al 2016). The map was divided into a 70%-30% proportion for training and testing, respectively (Ohlmacher and Davis 2003).…”

Section: Flood Inventory Mapmentioning

confidence: 99%

“…Some results from these studies have been successful, while others have been flawed (Matgen et al 2007). Artificial neural network (ANN) has been a popular method in flood susceptibility mapping in many parts of the world (Islam et al 2001;Dixon 2005;Kia et al 2012;Rahmati et al 2016), but has a complex procedure difficult to understand and relies on extremely powerful computer capacity (Maier and Dandy 2000;. Kia et al (2012) employed ANN to simulate flood-prone areas in the Johor River Basin of Malaysia.…”

Section: Introductionmentioning

confidence: 99%

GIS-based spatial prediction of flood prone areas using standalone frequency ratio, logistic regression, weight of evidence and their ensemble techniques

Tehrany

Shabani

Jebur

et al. 2017

Geomatics, Natural Hazards and Risk

211

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The aim of this research was to evaluate the predictive performances of frequency ratio (FR), logistic regression (LR) and weight of evidence (WoE), in flood susceptibility mapping in China. In addition, the ensemble WoE and LR and ensemble FR and LR techniques were applied and used in the evaluation. The flood inventory map, consisting of 196 flood locations, was extracted from a number of sources. The flood inventory data were randomly divided into a testing data-set, allocating 70% for training, and the remaining 30% for validation. The 15 flood conditioning factors included in the spatial database were altitude, slope, aspect, geology, distance from river, distance from road, distance from fault, soil type, land use/cover, rainfall, Normalized Difference Vegetation Index, Stream Power Index, Topographic Wetness Index, Sediment Transport Index and curvature. For validation, success and prediction rate curves were developed using area under the curve (AUC) method. The results indicated that the highest prediction rate of 90.36% was achieved using the ensemble technique of WoE and LR. The standalone WoE produced the highest prediction rate among the individual methods. It can be concluded that WoE offers a more advanced method of mapping prone areas, compared with the FR and LR methods.

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“…The latter is the focus of this study, with emphasis on flood hazard. The MCDM-based flood hazard mapping has been frequently studied [3][4][5][6][7][8]. However, there has been a limited effort in transforming the The study area is the Swannanoa River watershed in the state of North Carolina, U.S.…”

Section: Introductionmentioning

confidence: 99%

Sustainability-Based Flood Hazard Mapping of the Swannanoa River Watershed

2017

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An integrated framework is presented for sustainability-based flood hazard mapping of the Swannanoa River watershed in the state of North Carolina, U.S. The framework uses a hydrologic model for rainfall-runoff transformation, a two-dimensional unsteady hydraulic model flood simulation and a GIS-based multi-criteria decision-making technique for flood hazard mapping. Economic, social, and environmental flood hazards are taken into account. The importance of each hazard is quantified through a survey to the experts. Utilizing the proposed framework, sustainability-based flood hazard mapping is performed for the 100-year design event. As a result, the overall flood hazard is provided in each geographic location. The sensitivity of the overall hazard with respect to the weights of the three hazard components were also investigated. While the conventional flood management approach is to assess the environmental impacts of mitigation measures after a set of feasible options are selected, the presented framework incorporates the environmental impacts into the analysis concurrently with the economic and social influences. Thereby, it provides a more sustainable perspective of flood management and can greatly help the decision makers to make better-informed decisions by clearly understanding the impacts of flooding on economy, society and environment.

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Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis

Cited by 343 publications

References 76 publications

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

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

GIS-based spatial prediction of flood prone areas using standalone frequency ratio, logistic regression, weight of evidence and their ensemble techniques

Sustainability-Based Flood Hazard Mapping of the Swannanoa River Watershed

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