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 Use of remote sensing and geographic information systems in mapping flood extent and assessing flood hazard

2020 ◽  
Author(s):  
Χρήστος Δομακίνης
Keyword(s):  
Remote Sensing ◽  
Information Systems ◽  
Geographic Information Systems ◽  
Analytical Hierarchy Process ◽  
Flood Hazard ◽  
Geographic Information ◽  
Envisat Asar ◽  
Hierarchy Process

Ο Ερυθροπόταμος είναι παραπόταμος του ποταμού Έβρου και κατά τη διάρκεια της τελευταίας δεκαετίας η λεκάνη απορροής του πλημμύρησε αρκετές φορές, προκαλώντας εκτεταμένες ζημιές σε περιουσίες. Προκειμένου να προετοιμαστεί ο δρόμος για αποτελεσματική διαχείριση του πλημμυρικού κινδύνου και να αντισταθμιστεί η έλλειψη τέτοιων μελετών σε μια περιοχή που είναι τόσο επιρρεπής σε πλημμύρες, χρησιμοποιήθηκαν διαδικασίες εκτίμησης της επικινδυνότητας της πλημμύρας όπως η χαρτογράφηση κατακλυζόμενων περιοχών, η χαρτογράφηση της επικινδυνότητας και του κινδύνου της πλημμύρας, καθώς και η χαρτογράφηση της πλημμυρικής επιδεκτικότητας. Η χαρτογράφηση κατακλυζόμενων περιοχών διεξήχθη με τη βοήθεια εικόνων Ραντάρ Συνθετικού Ανοίγματος. Ειδικότερα, χρησιμοποιήθηκαν εικόνες ENVISAT/ASAR και SENTINEL – 1 A/B προκειμένου να οριοθετηθεί ο χώρος των κατακλυζόμενων περιοχών που συνέβησαν τις χρονιές 2010, 2017 και 2018. Η χαρτογράφηση της επικινδυνότητας και του κινδύνου της πλημμύρας υλοποιηθήκαν με τη βοήθεια των Γεωγραφικών Συστημάτων Πληροφοριών (Γ.Σ.Π.), όχι μόνο για την κύρια μισγάγγεια άλλα και για τους κλάδους του υδρογραφικού δικτύου άνω της 5ης τάξης, παρέχοντας προβλέψεις για την έκταση των πλημμυρών και για τη χωρική κατανομή του βάθους του νερού συμφώνα με τα σενάρια που προτείνονται από την Οδηγία 2007/60 του Ευρωπαϊκού Κοινοβουλίου, καθώς και για συγκεκριμένες μετρήσεις του σταθμού που είναι τοποθετημένος στη γέφυρα του Διδυμοτείχου. Επιπλέον, η χαρτογράφηση της πλημμυρικής επιδεκτικότητας διεξήχθη για την υπό μελέτη περιοχή εφαρμόζοντας τη Διαδικασία της Αναλυτικής Ιεραρχίας (Analytical Hierarchy Process/AHP). Χρησιμοποιήθηκαν τοπογραφικοί, υδρολογικοί και μετεωρολογικοί παράγοντες και ο καθένας από αυτούς ταξινομήθηκε σε τρεις (3) κατηγορίες επιδεκτικότητας (χαμηλή, μέτρια και υψηλή). Η σημαντικότητα του κάθε παράγοντα έναντι των υπολοίπων καθορίστηκε με τη βοήθεια είτε της χαρτογράφησης κατακλυζόμενων περιοχών ή της χαρτογράφησης της επικινδυνότητας της πλημμύρας, αντιμετωπίζοντας με αυτό τον τρόπο την υποκειμενικότητα που περιλαμβάνεται στον καθορισμό της ιεραρχίας των παραγόντων από τη Διαδικασία της Αναλυτικής Ιεραρχίας. Ακολούθως, οι παραγόμενοι χάρτες πλημμυρικής επιδεκτικότητας αξιολογήθηκαν σύμφωνα με τις κατακλυζόμενες περιοχές των πλημμυρών του Απριλίου 2017, του Μαρτίου 2018 και, στην περίπτωση που η ιεραρχία των παραγόντων καθορίστηκε από τα αποτελέσματα της χαρτογράφησης της επικινδυνότητας, με τις κατακλυζόμενες περιοχές των πλημμυρών του Φεβρουαρίου 2010. Τα αποτελέσματα των ως άνω αναφερθέντων διαδικασιών υπέδειξαν ότι μεγάλα ποσοστά των οριοθετημένων περιοχών κατάκλυσης τέμνουν τις ζώνες υψηλής επιδεκτικότητας του κάθε χάρτη πλημμυρικής επιδεκτικότητας. Τελικά, τα αποτελέσματα κάθε διαδικασίας εκτίμησης της επικινδυνότητας της πλημμύρας δεν συγκρίθηκαν μόνο με τη Ζώνη Δυνητικά Υψηλού Κινδύνου Πλημμύρας που προτείνεται από το Υπουργείο Περιβάλλοντος και Ενέργειας αλλά και συνδυάστηκαν ποικιλοτρόπως προκειμένου να διερευνηθεί αν είναι εφικτό να επιτευχθούν καλύτερα αποτελέσματα.

scholarly journals Application of Fuzzy TOPSIS to Flood Hazard Mapping for Levee Failure

Water ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 592 ◽  
Author(s):  
Tae Hyung Kim ◽  
Byunghyun Kim ◽  
Kun-Yeun Han
Keyword(s):  
Flood Hazard ◽  
Multiple Criteria Decision Making ◽  
Fuzzy Topsis ◽  
Dam Failure ◽  
Hazard Mapping ◽  
Hazard Map ◽  
Hazard Maps ◽  
Levee Failure ◽  
Flood Hazard Map ◽  
Flood Hazard Maps

This paper proposes a new approach to consider the uncertainties for constructing flood hazard maps for levee failure. The flood depth, velocity, and arrival time were estimated by the 2-Dimensional model and were considered as flood indices for flood hazard mapping. Each flood index predicted from the 2-D flood analysis based on several scenarios was fuzzified to reflect the uncertainties of the indices. The fuzzified flood indices were integrated using the Fuzzy TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution), resulting in a single graded flood hazard map. This methodology was applied to the Gam river in South Korea and confirmed that the Fuzzy MCDM (Multiple Criteria Decision Making) technique can be used to produce flood hazard maps. The flood hazard map produced in this study compared with the current flood hazard map of MOLIT (Ministry of Land, Infrastructure and Transports). This study found that the proposed methodology was more advantageous than the current methods with regard to the accuracy and grading of the flood areas, as well as in regard to an integrated single map. This report is expected to be expand upon other floods, including dam failure and urban flooding.

scholarly journals FLOOD HAZARD MAPPING AT LONG XUYEN QUADRANGLE IN 2015 USING GEOGRAPHIC INFORMATION AND REMOTE SENSING

2019 ◽  
Vol XLII-3/W8 ◽  
pp. 275-281
Author(s):  
N. T. H. Diep ◽  
T. H. Duy ◽  
P. K. Diem ◽  
N. T. B. Nam ◽  
N. T. T. Huong
Keyword(s):  
Flood Hazard ◽  
Mekong Delta ◽  
Hazard Mapping ◽  
Hazard Map ◽  
Water Index ◽  
Flood Hazard Map ◽  
Severe Flood ◽  
Normalized Difference Water Index ◽  
Spss Software ◽  
Sentinel 2

<p><strong>Abstract.</strong> In recent year, the flooding has been occurred with higher frequency at Long Xuyen Quadrangle areas of Mekong Delta, Vietnam. It was considered as a major natural disaster which effects on the physical and spiritual in people’s life in this area. This research aims to generate a flood hazard map and assess the flood situation at Long Xuyen quadrangle in 2015. The MNDWI (Modification of Normalized Difference Water Index) extracting from Sentinel 2 image was used to map the flood extent at Long Xuyen quadrangle during rainy season in 2015. The statistics method was estimated correlation coefficient between flooding spatial distribution and hydrological stations on SPSS software. The results showed that the severe flood occurred from August to December in 2015. There were about 47.6% and 28.2% of the total area were inundated in October and August, respectively. The correlation between inundated areas and water level at Ha Tien and Chau Doc hydrological stations was 0.73 and 0.65 (p &amp;lt;0.01), respectively. The derived information was very essential and valuable for local managers in making decision on responding and mitigating to the flood disaster.</p>

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.

Flash flood hazard mapping based on AHP with GIS and satellite information in Kampong Speu Province, Cambodia

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chhuonvuoch Koem ◽  
Sarintip Tantanee
Keyword(s):  
Land Use ◽  
Flash Flood ◽  
Flood Hazard ◽  
Geographical Information ◽  
Hazard Mapping ◽  
Hazard Map ◽  
Content Type ◽  
Satellite Information ◽  
Flood Hazard Map ◽  
Hazard Levels

Purpose Cambodia is considered one of the countries that are most vulnerable to adverse effects of climate change, particularly floods and droughts. Kampong Speu Province is a frequent site of calamitous flash floods. Reliable sources of flash flood information and analysis are critical in efforts to minimize the impact of flooding. Unfortunately, Cambodia does not yet have a comprehensive program for flash flood hazard mapping, with many places such as Kampong Speu Province having no such information resources available. The purpose of this paper is, therefore, to determine flash flood hazard levels across all of Kampong Speu Province using analytical hierarchy process (AHP) and geographical information system (GIS) with satellite information. Design/methodology/approach The integrated AHP–GIS analysis in this study encompasses ten parameters in the assessment of flash flood hazard levels across the province: rainfall, geology, soil, elevation, slope, stream order, flow direction, distance from drainage, drainage density and land use. The study uses a 10 × 10 pairwise matrix in AHP to compare the relative importance of each parameter and find each parameter’s weight. Finally, a flash flood hazard map is developed displaying all areas of Kampong Speu Province classified into five levels, with Level 5 being the most hazardous. Findings This study reveals that high and very high flash flood hazard levels are identified in the northwest part of Kampong Speu Province, particularly in Aoral, Phnum Srouch and Thpong districts and along Prek Thnot River and streams. Originality/value The flash flood hazard map developed here provides a wealth of information that can be invaluable for implementing effective disaster mitigation, improving disaster preparedness and optimizing land use.

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.

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