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 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 Integration of GIS-Based Multicriteria Decision Analysis and Analytic Hierarchy Process for Flood-Hazard Assessment in the Megalo Rema River Catchment (East Attica, Greece)

2021 ◽  
Vol 13 (18) ◽  
pp. 10232
Author(s):  
Efthimios Karymbalis ◽  
Maria Andreou ◽  
Dimitrios-Vasileios Batzakis ◽  
Konstantinos Tsanakas ◽  
Sotirios Karalis
Keyword(s):  
Analytic Hierarchy Process ◽  
Decision Analysis ◽  
Hazard Assessment ◽  
Flood Risk ◽  
Flood Hazard ◽  
Analytic Hierarchy ◽  
Flood Hazard Assessment ◽  
High Flood ◽  
Hierarchy Process ◽  
Very High

This study deals with the flood-hazard assessment and mapping in the catchment of Megalo Rema (East Attica, Greece). Flood-hazard zones were identified utilizing Multi-Criteria Decision Analysis (MCDA) integrated with Geographic Information System (GIS). Five factors were considered as the most influential parameters for the water course when high storm-water runoff exceeds drainage system capacity and were taken into account. These factors include slope, elevation, distance from stream channels, geological formations in terms of their hydro-lithological behavior and land cover. To obtain the final weights for each factor, rules of the Analytic Hierarchy Process (AHP) were applied. The final flood-hazard assessment and mapping of the study area were produced through Weighted Linear Combination (WLC) procedures. The final map showed that approximately 26.3 km2, which corresponds to 22.7% of the total area of the catchment, belongs to the high flood risk zone, while approximately 25 km2, corresponding to ~15% of the catchment, is of very high flood risk. The highly and very highly prone to flooding areas are located mostly at the southern and western parts of the catchment. Furthermore, the areas on both sides of the channel along the lower reaches of the main stream are of high and very high risk. The highly and very highly prone to flooding areas are relatively low-lying, gently sloping and extensively urbanized, and host the densely populated settlements of Rafina-Pikermi, Penteli, Pallini, Peania, Spata, Glika Nera, Gerakas and Anthousa. The accuracy of the flood-hazard map was verified by correlating flood events of the last 30 years, the Hydrologic Engineering Center’s River Analysis System (HEC–RAS) simulation and quantitative geomorphological analysis with the flood-hazard level. The results of our approach provide decision makers with important information for land-use planning at a regional scale, determining safe and unsafe areas for urban development.

Application of earth observation datasets and Analytic Hierarchy Process in the mapping of Landslide hazard zones of Manipur, India

2021 ◽  
Author(s):  
Digvijay Singh ◽  
Arnab Laha
Keyword(s):  
Analytic Hierarchy Process ◽  
Landslide Susceptibility ◽  
Landslide Hazard ◽  
Susceptibility Map ◽  
Hazard Map ◽  
Landslide Susceptibility Map ◽  
Analytic Hierarchy ◽  
High Hazard ◽  
Hierarchy Process ◽  
Very High

<p>Landslides problems are one of the major natural hazards in the mountainous region. Every year due to the increase in anthropogenic factors and changing climate, the problem of landslides is increasing, which leads to huge loss of property and life. Landslide is a common and regular phenomenon in most of the northeastern states of India.  However, in recent past years, Manipur has experienced several landslides including mudslides during the rainy season. Manipur is a geologically young and geodynamically active area with many streams flowing parallel to fault lines. As a first step toward hazard management, a landslide susceptibility map is the prime necessity of the region. In this study, we have prepared a landslide hazard map of the state using freely available earth observations datasets and multi-criteria decision making technique, i.e., Analytic Hierarchy Process (AHP). For this purpose, lithology, rainfall, slope, aspect, relative relief, Topographic Wetness Index, and distance from road, river and fault were used as the parameters in AHP based on the understanding of their influence towards landslide in that region. The hazard map is classified into four hazard zones: Very High, High, Moderate, and Low. About 40% of the state falls under very high and high hazard zone, and the hilly regions such as Senapati and Chandel district are more susceptible to the landslide. Among the factors, slope and rainfall have a more significant contribution towards landslide hazard. It is also observed that areas nearer to NH-39 that lies in the fault zones i.e., Mao is also susceptible to high hazard. The landslide susceptibility map gives an first-hand impression for future land use planning and hazard mitigation purpose.</p>

GIS-based analytic hierarchy process as a multicriteria decision analysis instrument: a review

2012 ◽  
Vol 6 (8) ◽  
pp. 3059-3066 ◽  
Author(s):  
Imtiaz Ahmed Chandio ◽  
Abd Nasir B. Matori ◽  
Khamaruzaman B. WanYusof ◽  
Mir Aftab Hussain Talpur ◽  
Abdul-Lateef Balogun ◽  
...  
Keyword(s):  
Analytic Hierarchy Process ◽  
Decision Analysis ◽  
Multicriteria Decision Analysis ◽  
Analytic Hierarchy ◽  
Multicriteria Decision ◽  
Analysis Instrument ◽  
Hierarchy Process

scholarly journals Applying the Analytic Hierarchy Process Decision Analysis to Better Understand Adoption Intentions of Mobile Banking

2016 ◽  
Vol 6 (1) ◽  
pp. 431
Author(s):  
Wen-Tsung Wu ◽  
Chie-Bein Chen ◽  
Chiao-Chen Chang
Keyword(s):  
Analytic Hierarchy Process ◽  
Decision Analysis ◽  
Mobile Banking ◽  
Analytic Hierarchy ◽  
Research Findings ◽  
The Analytic Hierarchy Process ◽  
Banking Development ◽  
Hierarchy Process ◽  
Adoption Intention ◽  
Selection Of

<p class="ber"><span lang="EN-GB">The purpose of this study was to examine the influencing factors of the adoption intention of mobile banking from a bank perspective. The survey data were conducted from a selection of mobile banking, and were analyzed by the analytic hierarchy process (AHP) decision analysis to explore adoption intentions in the context of mobile banking. The results of the AHP decision analysis revealed that the “convenience” and the “personalization” were the most important factors for mobile banking from a bank’s perspective. Furthermore, the research findings illustrated theoretical and practical implications for mobile banking development and indicated how to reinforce the “location-based benefits” and the “transaction speed” in order to create customer adoption intentions via a bank perspective.</span></p>

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