scholarly journals Assessment of Wave Storm-Induced Flood Vulnerability in Rhodes Island, Greece

Water ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 2978
Author(s):  
Fragkiska-Karmela Gad ◽  
Maria Chatzinaki ◽  
Dimitris Vandarakis ◽  
Chara Kyriakidou ◽  
Vasilios Kapsimalis
Keyword(s):  
Extreme Events ◽  
Flood Hazard ◽  
Vulnerability Index ◽  
Storm Events ◽  
Peak Period ◽  
Flood Vulnerability ◽  
Northwestern Region ◽  
Run Up ◽  
Southeastern Region ◽  
Very High

Coastal areas are threatened by extreme meteorological phenomena, such as wave storms. Therefore, the analysis of such events, such as providing information for their potential hazards assessment, is a key element in coastal management. In this study, a preliminary assessment of flood vulnerability due to storms was performed in Rhodes Island, Greece. Firstly, storm events were defined in terms of significant wave height, peak period, and duration, and they were grouped by means of cluster analysis into five classes (from weak to extreme) reflecting the intensity of each event. Subsequently, flood hazard was assessed by using an empirical formula for wave run-up calculations on cross-shore profiles and storm surge data at the region. Finally, a Flood Vulnerability Index (FVI) was used for assessing vulnerability according to a scale from very low to very high. The most intense storms were found to occur in the eastern, southeastern, and southern part of the island. More than 60% of storms were classified as weak, while extreme events were found to occur with a frequency of less than 2.5%. Regarding flood hazard and vulnerability, the maximum values of wave run-up were calculated in the southeastern region, but the most vulnerable part was found to be the northwestern region, as the FVI was assessed as very high for weak and extreme events.

scholarly journals Flood Rate Assessment of the Woyla River Watershed, Aceh Province, Indonesia

2021 ◽  
Vol 10 (2) ◽  
pp. 84-99
Author(s):  
Rifa Alayani ◽  
Sugianto Sugianto ◽  
Hairul Basri
Keyword(s):  
Flood Hazard ◽  
Survey Method ◽  
Flood Hazards ◽  
Flood Vulnerability ◽  
Flood Susceptibility ◽  
Aceh Province ◽  
Collection Data ◽  
Hazard Level ◽  
Hazard Levels ◽  
Very High

This study aims to assess Flood susceptibility and flood hazard levels and obtain the distribution of hazard levels and flood hazards in the Woyla watershed, Aceh Province. This research design generally uses a descriptive survey method and divide into several stages, such as data collection, data processing, data presentation, and delivery of research results. Each determinant of flood-prone areas includes a land slope, altitude, soil texture, drainage, land cover, and rainfall, analyzed spatially utilizing a map. Furthermore, based on the map, the regions are described based on the values that have been divided into classes. The results showed that the level of flood vulnerability in the Woyla watershed was divided into five classes, namely; the non-vulnerable class with an area of 14.88 Ha / 0.01%, low prone with an area of 90,731.62 Ha / 35.45%, medium with an area of 57,120.35 Ha / 22.32%, high with an area of 44,918.15 Ha / 17.55%, and very high with an area of 63,151.72 Ha / 24.67%. Also obtained a map of the distribution of flood hazard areas, the Woyla watershed area is divided into five classes, namely; the very light class with an area of 179,146.15 Ha / 70.00%, mild with an area of 32,868.84 Ha / 12.84%, moderate with an area of 20,129.93 Ha / 7.87%, danger with an area of 6.007. 29 Ha / 2, 35%, and very dangerous with an area of 17,784.51 Ha / 6.95%. The level of flood vulnerability in the Woyla watershed is dominant in West Aceh Regency, which is in the very high and high category classes with a total area of 56,876.65 Ha and 23,527.40 Ha. Meanwhile, the level of flood hazard in the Woyla watershed is also more dominant in West Aceh Regency than falls into the most dangerous and dangerous class category with a total area of 17,784.51 Ha and 6,007.29 Ha. With the largest part in the very light class at the flood hazard level of 179,146.15 ha.

scholarly journals Assessment of Flood Risk in the Eastern Part of Jamuna Floodplain

2018 ◽  
Vol 44 (2) ◽  
pp. 211-224
Author(s):  
Maruf Billah ◽  
Mehedi Ahmed Ansary
Keyword(s):  
Flood Hazard ◽  
Emergency Situation ◽  
Mitigation Measures ◽  
Hazard Map ◽  
Individual Factor ◽  
Flood Vulnerability ◽  
Risk Zone ◽  
Hazard Vulnerability ◽  
Floodplain Area ◽  
Very High

Risk assessment provides the scope to understand the vulnerability situation of any area based on different hazard context. The study has been conducted in the eastern part of Jamuna floodplain area to examine its flood vulnerability. To perform the analysis, the whole study area has been surveyed and examined applying Geographic Information System. The entire hazard, vulnerability as well as the capacity factors are assessed and have been classified into different categories from very low to very high. Individual factor analysis has been considered to realize the specific condition of different factors. Finally, flood hazard map has been prepared to examine the vulnerability of the proposed area. This type of work helps the planners and disaster managers to identify the most risk zone which should receive immediate hazard mitigation measures as well as help to take a decision in an emergency situation when a flood may occur in the study area. Asiat. Soc. Bangladesh, Sci. 44(2): 211-224, December 2018

Physical flood vulnerability assessment of buildings in Kota Bharu, Malaysia: an indicator-based approach

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ismaila Usman Kaoje ◽  
Muhammad Zulkarnain Abdul Rahman ◽  
Nurul Hazrina Idris ◽  
Tze Huey Tam ◽  
Mohd Radhie Mohd Sallah
Keyword(s):  
Vulnerability Assessment ◽  
Flood Hazard ◽  
Vulnerability Index ◽  
Flood Vulnerability ◽  
Content Type ◽  
Gis Environment ◽  
Physical Elements ◽  
Damage Mapping ◽  
Flood Vulnerability Assessment ◽  
Flood Vulnerability Index

Purpose The purpose of this paper is to introduce a geospatial approach for buildings flood vulnerability assessment using an indicator-based method (IBM) to support flood risk assessment and mapping of physical elements at risk in Kota Bharu District, Kelantan, Malaysia. Design/methodology/approach The study developed an indicator-based approach to undertake physical flood vulnerability assessment of buildings. The approach takes into consideration flood hazard intensity, building characteristics and structures surrounding the environment as factors that influence flood vulnerability. The aggregation of the total flood vulnerability index is carried out in a geographic information system (GIS) environment. Findings The results provide a spatial representation of buildings flood vulnerability index in Kota Bharu Malaysia, and the degree of expected vulnerability is expressed on a scale between 0 to 1 (low damage to total damage). Mapping flood vulnerability index of buildings should be considered in future flood mitigation and evacuation planning. Originality/value Unlike other indicator-based methods (IBMs) developed for physical flood vulnerability assessment, in the current study, hazard intensity has been considered and incorporated in the physical flood vulnerability model.

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 A GIS-based flood risk mapping of Assam, India, using the MCDA-AHP approach at the regional and administrative level

2021 ◽  
Author(s):  
Laxmi Gupta ◽  
Jagabandhu Dixit
Keyword(s):  
Flood Risk ◽  
Flood Hazard ◽  
Risk Index ◽  
Hazard Index ◽  
Vulnerability Index ◽  
Eastern Region ◽  
The North ◽  
Flood Risk Mapping ◽  
Gis Environment ◽  
Very High

Abstract Floods are hydrological disasters that can alter the physical, socioeconomic, and environmental settings of a region. The objective of the present study is to develop an efficient and reliable methodology to prepare a flood risk map for Assam, the North-eastern region (NER) of India, by the integration of hazard and vulnerability components. Three indices, namely flood hazard index (FHI), flood vulnerability index (FVI), and flood risk index (FRI), are developed using multi-criteria decision analysis (MCDA) – Analytical hierarchy process (AHP) approach in GIS environment for the regional and administrative level of Assam. The selected hazard and vulnerability indicators define the topographical, geological, meteorological, drainage characteristics, land use land cover, and demographical features of Assam. The results show that more than 70% of the total area lies in the moderate to very high FHI class, 57.37% have moderate to high FVI, and more than 50% have moderate to very high FRI class.

scholarly journals Pemodelan Spasial Bahaya dan Kerentanan Bencana Banjir di Wilayah Timur Kabupaten Cirebon

2019 ◽  
Author(s):  
Millary Agung Widiawaty ◽  
Moh. Dede
Keyword(s):  
Land Use ◽  
Road Network ◽  
Flood Hazard ◽  
Eastern Region ◽  
Infiltration Capacity ◽  
Flood Vulnerability ◽  
High Category ◽  
Vulnerability Model ◽  
Vulnerability Map ◽  
Very High

As a tropical climate region in the world, Indonesia has high vulnerable to floods disaster. In West Java, flood is annual disaster that occurs in the eastern region of Cirebon Regency. On 2018, there are thirteen sub-districts in the region have flood up to 2 meters. The study aims to determine the flood hazard and vulnerability in the eastern region of Cirebon Regency. The analysis of flood hazard includes six parameters such as elevation, slope, rainfall, infiltration capacity, distance to river, and surface runoff. Whereas, the flood vulnerability analysis includes parameters of land use, population, and road network. All parameters is analysed using overlay analysis with geographic information system to result the flood hazard and vulnerability model. The results shows the eastern region of Cirebon Regency has flood hazard in very high category reach 22.98 percent, high 33.54 percent, medium 21.80 percent, low 16.60 percent and 5.07 very low percent. Meanwhile, the flood vulnerability map show the cultivation land and built-up land use are most affected by the disaster. The potential number of vulnerable population is very high and high category reach 609,738 peoples who spread in the southeast of region. Whereas, the flood vulnerability to road network reach 3.3 to 6.84 km / km2. The flood hazard occurs in the alluvial plains, floodplains, and back swamps between Cisanggarung and Ciberes watersheds who known as suitable for settlement. Thus, up-land management is sustainable effort to resolve the problem.

scholarly journals Assessment of flood hazard in Owerri West, Imo State, Nigeria using Analytical Hierarchical Process and Index Based Approach

2021 ◽  
Vol 12 (2) ◽  
pp. 042-047
Author(s):  
Princecharles Chukwuemeka Anyadiegwu ◽  
Joel Izuchukwu Igbokwe ◽  
Adeyemi James Adeboboye
Keyword(s):  
Network Flow ◽  
Flood Hazard ◽  
Hazard Index ◽  
Soil Classification ◽  
Vulnerability Index ◽  
Area Coverage ◽  
Analytical Hierarchical Process ◽  
Flood Vulnerability ◽  
Imo State ◽  
Study Results

This study aimed at an assessment of flood hazard areas in Owerri Imo State, Nigeria using analytical hierarchical process and index-based approach. The study objectives were to: establish the geophysical factors that contribute to flooding in the study area; classify the established geophysical factors according to the level of flood risk; calculate the reliability index of the classified geophysical factors; determine the flood vulnerable areas using analytical hierarchical process and flood hazard index; and to produce a vulnerability index map defining the extent of flooding vulnerability in the study area. The methodology incorporated in this study involved acquisition of remotely sensed imageries of the study area, pre-processing, Image classification, modelling slope, watershed, Drainage Network, flow accumulation, Soil Classification, classification and standardization, pairwise comparism matrix, normalized weighted Matrix, consistency index check and flood hazard index modelling. The study results revealed that In Owerri West, high flood vulnerability occupied 1.54% with an area coverage of 817.78 hectares, moderate flood vulnerability occupied 28.37% with an area coverage of 15031.98 hectares, low flood vulnerability occupied 24.97% with an area coverage of 13228.25 hectares and no flood vulnerability occupied 1.67% with an area coverage of 882.17 hectares. From the results achieved and the experiences gathered, analytical hierarchy process and flood hazard index-based modelling approach is recommended as it is a robust and efficient tool for mapping flood vulnerability while incorporating robust factors that contribute to flood and having a consistency judgement which judges the reliability of the weights of the factors used during modelling.

scholarly journals Physical Flood Vulnerability Assessment Using Geospatial Indicator-Based Approach and Participatory Analytical Hierarchy Process: A Case Study in Kota Bharu, Malaysia

Water ◽  
2021 ◽  
Vol 13 (13) ◽  
pp. 1786
Author(s):  
Ismaila Usman Kaoje ◽  
Muhammad Zulkarnain Abdul Rahman ◽  
Nurul Hazrina Idris ◽  
Khamarrul Azahari Razak ◽  
Wan Nurul Mardiah Wan Mohd Rani ◽  
...  
Keyword(s):  
Analytical Hierarchy Process ◽  
Vulnerability Assessment ◽  
Flood Hazard ◽  
Integrated Approach ◽  
Vulnerability Index ◽  
Kappa Statistics ◽  
Flood Vulnerability ◽  
Expert Opinions ◽  
Hierarchy Process ◽  
Flood Vulnerability Assessment

The most devastating flood event in Kota Bharu was recorded in December 2014, which affected several properties worth millions of dollars and thousands of homes. Damage to physical properties, especially buildings, is identified as a significant contributor to flood disasters in Malaysia. Therefore, it is essential to address physical flood vulnerability by developing an integrated approach for modeling buildings’ flood vulnerability to decrease the flood consequences. This study aims at developing a flood vulnerability assessment approach using an indicator-based model (IBM) for individual buildings in Kota Bahru, Kelantan, Malaysia. An intensive literature review and expert opinions were used to determine suitable indicators that contribute to the physical flood vulnerability of buildings. The indicators were grouped into three components, i.e., flood hazard intensity (I), building characteristics (C), and effect of the surrounding environment (E). The indicators were further refined based on expert opinions and Relative Importance Index (RII) analysis. Based on their contribution to the Malaysia local building flood vulnerability, priority weight is assigned by the experts to each of the selected indicators using the participatory Analytical Hierarchy Process (AHP). A spatial database of buildings in Kota Bharu is developed through field surveys and manually digitizing building footprints from satellite imageries. The identified indicators and their weight are added to each building footprint. The Weighted Linear Combination (WLC) aggregation method combined the weight of indicators into a vulnerability index and maps. The results of a physical flood vulnerability were validated using building damage information obtained through interviews with the community that experienced previous flood in the study area. The result showed that about 98% of the study area’s buildings have either moderate or low vulnerability to flooding. The flood vulnerability map has an overall accuracy of 75.12% and 0.63 kappa statistics. In conclusion, the IBM approach has been used successfully to develop a physical flood vulnerability for buildings in Kota Bharu. The model contributes to support different structural and non-structural approaches in the flood mitigations process.

Multi-Criteria Decision Making for Vulnerability Mapping of Flood Hazard: A Case Study of Pune City

2019 ◽  
Vol 2 (1) ◽  
pp. 41-52
Author(s):  
Nitin Mundhe
Keyword(s):  
Decision Making ◽  
Flood Hazard ◽  
Geographical Information ◽  
Multi Criteria Decision Making ◽  
Flood Hazards ◽  
Very High Frequency ◽  
Flood Vulnerability ◽  
Natural Risk ◽  
The Town

Floods are natural risk with a very high frequency, which causes to environmental, social, economic and human losses. The floods in the town happen mainly due to human made activities about the blockage of natural drainage, haphazard construction of roads, building, and high rainfall intensity. Detailed maps showing flood vulnerability areas are helpful in management of flood hazards. Therefore, present research focused on identifying flood vulnerability zones in the Pune City using multi-criteria decision-making approach in Geographical Information System (GIS) and inputs from remotely sensed imageries. Other input data considered for preparing base maps are census details, City maps, and fieldworks. The Pune City classified in to four flood vulnerability classes essential for flood risk management. About 5 per cent area shows high vulnerability for floods in localities namely Wakdewadi, some part of the Shivajinagar, Sangamwadi, Aundh, and Baner with high risk.

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