Assessment of flood hazard areas at a regional scale using an index-based approach and Analytical Hierarchy Process: Application in Rhodope–Evros region, Greece
TL;DR: A comparison of the outcome with records of historical flood events confirmed that the proposed methodology provides valid results, and the sensitivity analysis concluded to a revised index FHIS (methodology named FIGusED-S) and flood mapping, supporting the robustness of FIGUSED methodology.
About: This article is published in Science of The Total Environment.The article was published on 2015-12-15 and is currently open access. It has received 372 citations till now. The article focuses on the topics: Flood myth.
Citations
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TL;DR: Results indicate that the proposed Bagging-LMT model can be used for sustainable management of flood-prone areas and outperformed all state-of-the-art benchmark soft computing models.
Abstract: A new artificial intelligence (AI) model, called Bagging-LMT - a combination of bagging ensemble and Logistic Model Tree (LMT) - is introduced for mapping flood susceptibility. A spatial database was generated for the Haraz watershed, northern Iran, that included a flood inventory map and eleven flood conditioning factors based on the Information Gain Ratio (IGR). The model was evaluated using precision, sensitivity, specificity, accuracy, Root Mean Square Error, Mean Absolute Error, Kappa and area under the receiver operating characteristic curve criteria. The model was also compared with four state-of-the-art benchmark soft computing models, including LMT, logistic regression, Bayesian logistic regression, and random forest. Results revealed that the proposed model outperformed all these models and indicate that the proposed model can be used for sustainable management of flood-prone areas.
372 citations
Cites background from "Assessment of flood hazard areas at..."
...…studies, including bivariate and statistical models, have are frequency ratio (Lee, 2012; Tehrany et al., 2015a), analytical hierarchy process (Kazakis et al., 2015; Rahmati et al., 2016), logistic regression (Fekete, 2009; Tehrany et al., 2014a), and weights-of evidence (WOE) (Rahmati et…...
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TL;DR: The ANFIS-PSO was found to be the most practical model in term of producing the highly focused flood susceptibility map with lesser spatial distribution related to highly susceptible classes, and was introduced as the premier model in the study area.
296 citations
TL;DR: In this paper, the authors used four models, namely frequency ratio (FR), weights-of-evidence (WofE), analytical hierarchy process (AHP), and ensemble of frequency ratio with AHP (FR-AHP) to compare them at Haraz Watershed in Mazandaran Province, Iran.
Abstract: Flood is one of the most prevalent natural disasters that frequently occur in the northern part of Iran reported in hot spots of flood occurrences The main aim of the current study was to prepare flood susceptibility maps using four models, namely frequency ratio (FR), weights-of-evidence (WofE), analytical hierarchy process (AHP), and ensemble of frequency ratio with AHP (FR-AHP), and to compare them at Haraz Watershed in Mazandaran Province, Iran A total of 211 flood locations were prepared in GIS environment, of which 151 locations were randomly selected for modeling and the remaining 60 locations were used for validation aims In the next step, 10 flood-conditioning factors were prepared including slope angle, plan curvature, elevation, topographic wetness index, stream power index, rainfall, distance from river, geology, landuse, and normalized difference vegetation index The receiver operating characteristic curve and the area under the curve (AUC) were created for different flood susceptibility maps Validation of results showed that AUC values for success rate in training data set, for FR, WofE, AHP, and FR-AHP, were 9707, 9896, 9591, and 8619 % with prediction rates of 09657 (9657 %), 09596 (9596 %), 09492 (9492 %), and 08469 (8469 %), respectively Moreover, the results showed that the frequency ratio model had the highest AUC in comparison with other models Generally, the four models show a reasonable accuracy in flood-susceptible areas The results of this study can be useful for managers, researchers, and planners to manage the susceptible areas to flood and reduce damages
295 citations
TL;DR: This paper addresses the development of a flood susceptibility assessment that uses intelligent techniques and GIS and an adaptive neuro-fuzzy inference system (ANFIS) was coupled with a genetic algorithm and differential evolution for flood spatial modelling.
266 citations
TL;DR: A novel approach to construct a flood susceptibility map in the Poyang County, JiangXi Province, China is proposed by implementing fuzzy weight of evidence (fuzzy-WofE) and data mining methods and the fuzzy WofE-SVM model was the model with the highest predictive performance.
262 citations
References
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TL;DR: The Analytic Hierarchy Process (AHP) as discussed by the authors is a multicriteria decision-making approach in which factors are arranged in a hierarchic structure, and the principles and philosophy of the theory are summarized giving general background information of the type of measurement utilized, its properties and applications.
7,202 citations
"Assessment of flood hazard areas at..." refers methods in this paper
...AHP's theory suggests that the consistency ratio (CR) must be b0....
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...AHP is a structured technique used for analyzing complex problems, where a large number of interrelated objectives or criteria are involved....
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...The subjectivity of the AHP method for the estimation of the weights is the main drawback of this method....
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...It is worth noting that pairwise comparisons and variable hierarchization in AHP result from a Delphi consensus already used in other indexed approaches (Aller et al., 1987), which is subjective (Pacheco and Fernandes, 2013)....
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...In the sensitivity analysis the initial arbitrary values of the indexes that AHP uses are replaced with some derivative indexes, the “effective weights” calculated from the following equation: W ¼ Pr Pw V 100 ð4Þ where: W the effective weight of each parameter Pr the parameter's rating Pw the parameter's weight V the aggregated value of the applied index The theoretical background of the single-parameter analysis is beyond the scope of this paper and detailed description can be found in the originalwork of Napolitano and Fabbri (1996)....
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TL;DR: In this paper, a landslide susceptibility map in the Kakuda-Yahiko Mountains of Central Japan is presented, where the authors use logistic regression to find the best fitting function to describe the relationship between the presence or absence of landslides (dependent variable) and a set of independent parameters such as slope angle and lithology.
1,449 citations
TL;DR: Thin plate smoothing splines provide accurate, operationally straightforward and computationally efficient solutions to the problem of the spatial interpolation of annual mean rainfall for a standard period from point data which contains many short period rainfall means.
Abstract: Thin plate smoothing splines provide accurate, operationally straightforward and computationally efficient solutions to the problem of the spatial interpolation of annual mean rainfall for a standard period from point data which contains many short period rainfall means. The analyses depend on developing a statistical model of the spatial variation of the observed rainfall means, considered as noisy estimates of standard period means. The error structure of this model has two components which allow separately for strong spatially correlated departures of observed short term means from standard period means and for uncorrelated deficiencies in the representation of standard period mean rainfall by a smooth function of position and elevation. Thin plate splines, with the degree of smoothing determining by minimising generalised cross validation, can estimate this smooth function in two ways. First, the spatially correlated error structure of the data can be accommodated directly by estimating the c...
779 citations
Journal Article•
TL;DR: The DRASTIC methodology as mentioned in this paper is a methodology which allows the pollution potential of any area to be systematically evaluated, and it optimizes the use of existing data and has two major portions: the designation of mappable units, termed hydrogeologic settings, and the superposition of a relative ranking system.
Abstract: DRASTIC is a methodology which allows the pollution potential of any area to be systematically evaluated. The system optimizes the use of existing data and has two major portions: the designation of mappable units, termed hydrogeologic settings, and the superposition of a relative ranking system called DRASTIC. Hydrogeologic settings incorporate the major hydrogeologic factors which are used to infer the potential for to enter groundwater. These factors form the acronym DRASTIC and include depth to water, net recharge, aquifer media, soil media, topography, impact of the vadose zone and hydraulic conductivity of the aquifer. The relative ranking scheme uses a combination of weights and ratings to produce a numerical value, called the DRASTIC Index which helps prioritize areas with respect to pollution potential.
766 citations
"Assessment of flood hazard areas at..." refers background in this paper
...However, weighting by AHP is widely used in many applications (Valle Junior et al., 2014; Oikonomidis et al., 2015) and is recommended to be used for regional studies (Ayalew and Yamagishi, 2005)....
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Book•
11 Jul 1994
TL;DR: In this article, the authors present a model for estimating rainfall-runoff estimations in stormwater computations using hydrologic frequency analysis and rainfall-run-off estimation in Stormwater Computations.
Abstract: Introduction Hydrologic Frequency Analysis Rainfall-Runoff Estimation in Stormwater Computations Open Channel Hydraulics Hydraulics of Structures Channel Flow Routing and Reservoir Hydraulics Sediment Properties and Sediment Transport Erosion and Sediment Yield Sediment Control Structures Fluvial Geomorphology: Fluvial Channel Analysis and Design Ground Water Monitoring Hydrologic Systems Hydrologic Modeling Chapter Problems, References, and Appendixes General Appendix Subject Index
751 citations
"Assessment of flood hazard areas at..." refers background in this paper
...The selection of these parameters has been theoretically based on their relevance to flood hazards as documented in the literature (Haan et al., 1994)....
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