scholarly journals Development of Urban Flood Hazard Map for Nour City Using Analytical Hierarchy Process and Fuzzy Logic

2017 ◽  
Vol 7 (14) ◽  
pp. 19-11
Author(s):  
Nematollah Hamidi ◽  
Mahdi Vafakhah ◽  
Akbar Najafi
Keyword(s):  
Fuzzy Logic ◽  
Analytical Hierarchy Process ◽  
Flood Hazard ◽  
Hazard Map ◽  
Urban Flood ◽  
Flood Hazard Map ◽  
Hierarchy Process

scholarly journals Development of Flash Flood Hazard Map in Bima City (NTB) using Analytical Hierarchy Process

2018 ◽  
Vol 166 ◽  
pp. 012035 ◽  
Author(s):  
R. P Romdani ◽  
M Tamamadin ◽  
A Susandi ◽  
A Pratama ◽  
A. R Wijaya
Keyword(s):  
Analytical Hierarchy Process ◽  
Flash Flood ◽  
Flood Hazard ◽  
Hazard Map ◽  
Flood Hazard Map ◽  
Hierarchy Process

scholarly journals Flood Hazard Mapping Using Fuzzy Logic, Analytical Hierarchy Process, and Multi-Source Geospatial Datasets

2021 ◽  
Vol 13 (23) ◽  
pp. 4761
Author(s):  
Saeid Parsian ◽  
Meisam Amani ◽  
Armin Moghimi ◽  
Arsalan Ghorbanian ◽  
Sahel Mahdavi
Keyword(s):  
Remote Sensing ◽  
Analytical Hierarchy Process ◽  
Vegetation Index ◽  
Flood Hazard ◽  
Fuzzy Membership Function ◽  
Hazard Mapping ◽  
Hazard Map ◽  
Topographic Wetness Index ◽  
Flood Hazard Map ◽  
Hierarchy Process

Iran is among the driest countries in the world, where many natural hazards, such as floods, frequently occur. This study introduces a straightforward flood hazard assessment approach using remote sensing datasets and Geographic Information Systems (GIS) environment in an area located in the western part of Iran. Multiple GIS and remote sensing datasets, including Digital Elevation Model (DEM), slope, rainfall, distance from the main rivers, Topographic Wetness Index (TWI), Land Use/Land Cover (LULC) maps, soil type map, Normalized Difference Vegetation Index (NDVI), and erosion rate were initially produced. Then, all datasets were converted into fuzzy values using a linear fuzzy membership function. Subsequently, the Analytical Hierarchy Process (AHP) technique was applied to determine the weight of each dataset, and the relevant weight values were then multiplied to fuzzy values. Finally, all the processed parameters were integrated using a fuzzy analysis to produce the flood hazard map with five classes of susceptible zones. The bi-temporal Sentinel-1 Synthetic Aperture Radar (SAR) images, acquired before and on the day of the flood event, were used to evaluate the accuracy of the produced flood hazard map. The results indicated that 95.16% of the actual flooded areas were classified as very high and high flood hazard classes, demonstrating the high potential of this approach for flood hazard mapping.

scholarly journals Flood Hazard Assessment Using AHP in Corum, Turkey

2021 ◽  
Vol 12 (2) ◽  
pp. 01-26
Author(s):  
Derya Ozturk ◽  
◽  
Ilknur Yilmaz ◽  
Ufuk Kirbas ◽  
◽  
...  
Keyword(s):  
Hazard Assessment ◽  
Flood Hazard ◽  
Hazard Mapping ◽  
Hazard Map ◽  
Analytic Hierarchy ◽  
Flood Hazard Map ◽  
Structural Measures ◽  
High Flood ◽  
Hierarchy Process ◽  
Very High

In this study, the flood hazard of Corum province (Turkey) was investigated using the Analytic Hierarchy Process (AHP), which is one of the most popular Multi-criteria Decision Analysis (MCDA) methods, based on Geographic Information System (GIS). As a result of the AHP process, Corum province was categorized into five flood hazard classes: very high, high, medium, low, and very low. It was determined that 3% of the total area is under a very high flood hazard, and 25% is considered a high flood hazard. To assess the validity of the flood hazard map, the results were compared with the historical flood inventory. Our hazard map was compatible with the historical flood inventory, and our hazard map can now be used to estimate the areas that are threatened by possible floods. When the existing structural measures are overlapped with the hazard map in Corum, it is understood that a large part of the structural measures carried out to date have focused on the areas of very high and high flood hazard in the flood hazard map. Future structural measures and detailed studies should now address other areas identified as under threat in the flood hazard map. Our results suggest that the hazard assessment based on MCDA is suitable for flood hazard mapping.

scholarly journals GIS Based Method for Flood Hazard Assesment in Kobe River Watershed - North Maluku Province

2021 ◽  
Vol 328 ◽  
pp. 04019
Author(s):  
Nani Nagu ◽  
A. Latif Lita ◽  
H Bebi ◽  
Nurhalis Wahiddin
Keyword(s):  
Flood Hazard ◽  
Vulnerability Index ◽  
Hazard Map ◽  
Flood Vulnerability ◽  
Flood Susceptibility ◽  
Flood Hazard Map ◽  
Prone Area ◽  
Flood Prone Area ◽  
Hierarchy Process ◽  
Selection Of

The objectives of this study are to mapping the hazard-prone area and to analyse the flood vulnerability index in Kobe Watershed, Central Halmahera District. In order to determine the optimal selection of weights for the factors that contribute to flood risk, GIS and multi-criteria decision analysis (MCDA) were used in conjunction with the application of the analytical hierarchy process (AHP) method to create the flood hazard map. The flood hazard map was generated by using selected hazard factors including land use, topography, slope, and rainfall pattern. The result shows that the Kobe River basin is a flood-prone area, with 77.46 percent of its land classified as less prone to flooding and 21.41 percent classified as flood-prone. However, only 21.41 percent of its land is classified as flood-prone. Only 1.13 percent of the land is protected from the danger of floods, compared to the whole country. The altitude factor is the most important element influencing flood susceptibility in Weda District, where the majority of the land (16.34 percent) is located at or below sea level, making it particularly vulnerable to flooding.

scholarly journals Role of physical settings on increasing flood hazard in Muscat Built-up areas (2007-2015) using GIS

2018 ◽  
Vol 9 (1) ◽  
pp. 65
Author(s):  
Rana N. Jawarneh ◽  
Said S. Almushaiki
Keyword(s):  
Urban Area ◽  
Urban Areas ◽  
Flood Hazard ◽  
Hazard Map ◽  
Urban Flood ◽  
Flooding Hazard ◽  
Environmental Attributes ◽  
Flood Hazard Map ◽  
Hazard Zone ◽  
High Flood

This study aims at evaluating selected environmental attributes of urban development pathways in relation to their impacts on increasing cyclone-related flooding in the Governorate of Muscat for the years 2007, 2010, 2013, and 2015. A probability-weighted flood hazard map for the 2015 urban areas was produced by combining all selected environmental attributes into one probability equation, with each attribute given a weight. The 2015 urban flood hazard map showed that 31.7 km² (8.1% of total urban areas) of the built up area is located in the very high flooding hazard zone, 88.3 km² (22.6% of urban area) is located in the high flood hazard zone, 130.5 km² (33.5% of urban area) is located in the medium flooding hazard zone, and 113.4 km² (29.1% of urban area) and 26.1 km² (6.7% of urban area) located in the low and very low flooding hazard zones. The outputs from this research emphasize the potential of environmental forces to increase flood damages. The findings provide decision makers with spatially-explicit evidences on affected areas for more effective evacuation and rescue plans.

scholarly journals URBAN FLOOD HAZARD MAP USING GIS OF MUANG SUKHOTHAI DISTRICT, THAILAND

2020 ◽  
Vol 15 (1) ◽  
pp. 143-152
Author(s):  
Charatdao KONGMUANG ◽  
Sarintip TANTANEE ◽  
Kamonchat SEEJATA
Keyword(s):  
Flood Hazard ◽  
Hazard Map ◽  
Urban Flood ◽  
Flood Hazard Map

scholarly journals Integration of GIS-Based Multicriteria Decision Analysis and Analytic Hierarchy Process to Assess Flood Hazard on the Al-Shamal Train Pathway in Al-Qurayyat Region, Kingdom of Saudi Arabia

Water ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1702 ◽  
Author(s):  
Ashraf Abdelkarim ◽  
Seham S. Al-Alola ◽  
Haya M. Alogayell ◽  
Soha A. Mohamed ◽  
Ibtesam I. Alkadi ◽  
...  
Keyword(s):  
Analytic Hierarchy Process ◽  
Decision Analysis ◽  
Flood Hazard ◽  
Hazard Map ◽  
Analytic Hierarchy ◽  
Multicriteria Decision ◽  
Flood Hazard Map ◽  
Flooding Hazards ◽  
Hierarchy Process ◽  
Very High

Understanding the dynamics of floods in dry environments and predicting an accurate flood hazard map considering multiple standards and conflicting objectives is of great political and planning importance in the Kingdom of Saudi Arabia’s vision for the year 2030, in order to reduce losses in lives, property, and infrastructure. The objectives of this study are (1) to develop a flood vulnerability map identifying flood-prone areas along the Al-Shamal train railway pathway; (2) to forecast the vulnerability of urban areas, agricultural land, and infrastructure to possible future floods hazard; and (3) to introduce strategic solutions and recommendations to mitigate and protect such areas from the negative impacts of floods. In order to achieve these objectives, multicriteria decision analysis based on geographic information systems (GIS-MCDA) is used to build a flood hazard map of the study area. The analytic hierarchy process (AHP) is applied to extract the weights of eight criteria which affect the areas which are prone to flooding hazards, including flow accumulation, distance from the wadi network, slope, rainfall density, drainage density, and rainfall speed. Furthermore, the receiver operating characteristic (ROC Curve) method is used to validate the presented flood hazard model. The results of the study reveal that there are five degrees of flooding hazard along the Al-Shamal train path, ranging from very high to very low. The high and very high hazard zones comprise 19.2 km along the path, which constitutes about 26.45% of the total path length, and are concentrated at the intersections of the Al-Shamal train pathway with the Bayer and Al-Makhrouk wadis. Moderate, low, and very low flood severity areas constitute nearly 53.39 km, representing 73.55% of the total length (72.59 km) of the track. These areas are concentrated at the intersection of the Al-Shamal train track with the Haseidah Al-Gharbiyeh and Hsaidah Umm Al-Nakhleh wadis. Urban and agricultural areas that are vulnerable to high and very high flooding hazards are shown to have areas of 29.23 km2 (22.12%) and 59.87 km2 (46.39%), respectively.

scholarly journals Modelagem espacial de áreas suscetíveis a inundações baseada em um modelo multicritério hibrido e Sistema de Informação Geográfica: um estudo de caso aplicado a bacia do Rio Bengalas

2020 ◽  
Vol 13 (3) ◽  
pp. 1145
Author(s):  
Fabiano Peixoto Freiman ◽  
Camila De Oliveira Carvalho
Keyword(s):  
Information System ◽  
Fuzzy Logic ◽  
Geographic Information System ◽  
River Basin ◽  
Analytical Hierarchy Process ◽  
Rio De Janeiro ◽  
Geographic Information ◽  
Flood Susceptibility ◽  
Hierarchy Process

A identificação de áreas suscetíveis a inundações é essencial para o gerenciamento de desastres e definição de políticas públicas. O objetivo deste trabalho é a apresentação de um método para identificação de áreas suscetíveis a inundações através da integração de informações geográficas provenientes de técnicas do Sensoriamento Remoto, as ferramentas do Sistema de Informação Geográfica (SIG), a lógica Fuzzy e a aplicação de Métodos de Análise Multicritério (MAM) Analytical Hierarchy Process (AHP). Para atingir o objetivo foi proposto um estudo de caso, localizado na Bacia do Rio Bengalas, nos municípios de Nova Friburgo e Bom Jardim (Região Serrana do Rio de Janeiro). A modelagem espacial multicritério foi realizada a partir da seleção de um conjunto de dados composto por informações geomorfológicas, hidrológicas e de uso e ocupação do solo. Como resultado, obteve-se um mapa de suscetibilidade a inundações para a região. A coerência do modelo gerado foi verificada a partir do histórico de inundações da bacia do Rio Bengalas. A metodologia, apresentou-se eficiente e adequada para a determinação de áreas suscetíveis a inundações, prevendo com sucesso a distribuição espacial de áreas com riscos a inundações.  Spatial modelling of flood-susceptible areas based on a hybrid multi-criteria model and Geographic Information System: a case study applied to the Bengalas River basin A B S T R A C TThe identification of areas susceptible to flooding is essential for disaster management and public policy making. The objective of this work is the presentation of a method for the identification of areas susceptible to floods through the integration of geographic information from Remote Sensing techniques, Geographic Information System (GIS) tools, Fuzzy logic and the application of Multicriteria Analysis Methods (MAM) Analytical Hierarchy Process (AHP). In order to achieve the objective, a case study was proposed, located in the Bengalas River Basin, in the municipalities of Nova Friburgo and Bom Jardim (Mountain Region of Rio de Janeiro). Multicriteria spatial modeling was performed by selecting a data set composed of geomorphological, hydrological and land use information. As a result, a flood susceptibility map was obtained for the region. The coherence of the generated model was verified from the flood history of the Bengalas River basin. The methodology was efficient and adequate for the determination of areas susceptible to floods, successfully predicting the spatial distribution of areas at risk of flooding.Keywords: flood susceptibility. Fuzzy logic. MAM. AHP. GIS. 

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