COMMUNITY-BASED FLOOD VULNERABILITY AND ADAPTATION ASSESSMENT: A CASE STUDY FROM BANGLADESH

2013 ◽  
Vol 15 (03) ◽  
pp. 1350010 ◽  
Author(s):  
MD ABOUL FAZAL YOUNUS ◽  
NICK HARVEY
Keyword(s):  
Community Based ◽  
Intergovernmental Panel ◽  
Flood Vulnerability ◽  
Weighted Matrix ◽  
Prone Area ◽  
Assessment Guidelines ◽  
Flood Prone Area ◽  
Index Value ◽  
The Ganges

The Intergovernmental Panel on Climate Change (IPCC) (2007, 2012:11) warned that the mega deltas in South Asia (e.g. the Ganges Brahmaputra Meghna River Basin) will be at great risk due to increased flooding, and the region's poverty would reduce the capacity of the inhabitants to adapt to change. This paper provides a "bottom up" impact approach which focuses on a methodological contribution for assessment of vulnerability and adaptation (V & A) in a riverine flood-prone area, "Islampur" in Bangladesh, where various impact assessment guidelines have been taken into consideration. In this study the evaluation of V & A assessments at community level has been accomplished mainly by a weighted matrix index value derived from two participatory rapid appraisals (PRAs). Based on the distribution pattern of various weighted value indices of V & A issues, the required adaptation techniques can be adopted for immediate policy-making, and appropriate actions should be undertaken through establishing community-based adaptation committees (CBAC).

scholarly journals Potential of Community Volunteers in Flood Early Warning Dissemination: A Case Study of Bangladesh

2021 ◽  
Vol 18 (24) ◽  
pp. 13010
Author(s):  
Murtuza Al-Mueed ◽  
Md Rafique Ahasan Chawdhery ◽  
Emmanuel Harera ◽  
Riyadh A. Alhazmi ◽  
Abdulmajeed M. Mobrad ◽  
...  
Keyword(s):  
Early Warning ◽  
National Policy ◽  
Economic Stability ◽  
Community Based ◽  
The People ◽  
Prone Area ◽  
Community Volunteers ◽  
Vital Component ◽  
Flood Prone Area

Flood early warning (FEW) is a vital component of disaster risk management and is particularly important for saving lives, developing a sustainable agro-based economy, economic stability, and the overall development of the people of Bangladesh as well as others. This study was conducted in a northern, flood-prone area of Bangladesh to investigate the potential of incorporating volunteers of the community to the Union Councils (UCs) to disseminate FEW alongside the top-down approach. Several studies have found that despite having a sophisticated flood forecasting technology, local communities are not reaping the benefits of it, as the existing dissemination system is inaccessible to most local people. Since risk communication takes place in a social context, this study investigated and thereby proposed that volunteerism, as a form of social capital or communal virtue, can potentially assist the community-based disaster management (CBDM) institutions in enhancing their capacity to reach the maximum population at times of flood risk. Therefore, it was confirmed that the trained volunteers need to be integrated into and endorsed by the national policy. In addition, this study also provides a number of recommendations connecting literature with policy documents of Bangladesh.

Flood-prone area mapping using machine learning techniques: a case study of Quang Binh province, Vietnam

2021 ◽  
Author(s):  
Chinh Luu ◽  
Quynh Duy Bui ◽  
Romulus Costache ◽  
Luan Thanh Nguyen ◽  
Thu Thuy Nguyen ◽  
...  
Keyword(s):  
Machine Learning ◽  
Machine Learning Techniques ◽  
Learning Techniques ◽  
Prone Area ◽  
Flood Prone Area

scholarly journals Pemetaan Tingkat Kerawananan Banjir Di Kota Jambi Menggunakan Metode Scoring Dan Overlay Berbasis Sistem Informasi Geografis

2021 ◽  
Vol 5 (2) ◽  
pp. 132-141
Author(s):  
Lusiani Pryastuti ◽  
Keyword(s):  
Land Use ◽  
Information System ◽  
Spatial Distribution ◽  
Geographic Information System ◽  
Soil Type ◽  
Flood Vulnerability ◽  
Overlay Method ◽  
Prone Area ◽  
Flood Prone Area ◽  
Flood Prone Areas

This research is about flood vulnerability mapping in Jambi City based on Geographic Information System (GIS). This study is aiming to find out the flood vulnerability level, spatial distribution of flood, and flood prone areas in Jambi City. We used five parameters that affect flood vulnerability, including land slope, land level, land use, soil type, and rainfall during 2019. The method used is the scoring and overlay method with the help of ArcGis software. Flood vulnerability level was divided into three categories, namely quite vulnerable, vulnerable, and very vulnerable. The results obtained in this study are that most of Jambi City has a level of flood vulnerability in the vulnerable category, which is an area of 9254.82 ha (58%), while for the area that is dominated quite safe from flooding, Jambi Selatan sub-district, is 2849.14 ha (18%). This shows that more than half of the Jambi city area is a flood-prone area so it is very important to carry out structural and non-structural mitigation actions

scholarly journals Public Health Information Behavior at Flood-Prone Area in Bandung Regency: A Case Study in Baleendah Village, Andir Village, Bojongsoang Village and Dayeuh Kolot Village

2017 ◽  
Author(s):  
Nuning Kurniasih ◽  
Sukaesih
Keyword(s):  
Public Health ◽  
Health Center ◽  
Health Information ◽  
Information Behavior ◽  
The Public ◽  
Public Health Information ◽  
Prone Area ◽  
Flood Prone Area ◽  
Village Midwife

This study aims to understand the public health information behavior in the vicinity of flood prone area by examining 1) The public health information behavior in identifying diseases that may occur because of a flood. 2) The information behavior in finding health information solution required for dealing with diseases that may occur because of a flood. 3) The public health information behavior in determining health information sources which is used. 4) The public health information behavior in making use of health information for diseases that may occur because of a flood. 5) The public health information behavior in making use of health institution to satisfy its information needs. 6) The public health information behavior in flood prone area. The method used in this research is qualitative method supported by Case Study approach. In this research, we analyze data obtained from Focus Group Discussion (FGD) conducted by 11 informants and in-depth interview with 20 interviewees that are competent with this research research for triangulation. The result of this research reveals that people living in the flood prone area vicinity in Baleendah Village, Andir Village, Dayeuh Kolot Village and Bojongsoang Village, Bandung Regency (1) identify the potential of a flood disease based on their experience and identification during a flood (2) search for health information solution required for overcoming disease potential because of a flood by asking directly to a doctor or health center staff or volunteers during a flood. For psychological problem, usually people consult with religious leader, although Social Agency provice service to overcome this problem. (3) The main information source used is one that is informed by the health center or village midwife. (4) People use health information to help healing process when they get sick during the disaster. Health information obtained when a flood does not happen is only for adding insights. (5) Health Agency through health center and village midwife are actively involved to give health counseling to the public on various occasions. Those five things influence The public health information behavior in the flood prone area.

Planning for Floods at the University of Iowa

2016 ◽  
Vol 16 (1) ◽  
pp. 50-73
Author(s):  
Charles Connerly ◽  
Lucie Laurian ◽  
James Throgmorton
Keyword(s):  
Decision Making ◽  
Decision Making Process ◽  
University Of Iowa ◽  
Large Institution ◽  
River Flood ◽  
Prone Area ◽  
Flood Prone Area ◽  
The University ◽  
Great Damage

Why does a large institution build in a flood-prone area and how does it respond when flooding causes great damage? This is a case study of a major flood event—the 2008 Iowa–Cedar River flood—and the University of Iowa, whose recovery is expected to cost about US$750 million. The case explores the factors that led a major institution to invest so much of its infrastructure into a flood-prone river shed and then describes and evaluates the decision-making process the University has undertaken with the goal of becoming a more sustainable and resilient campus.

Flood-prone area delimitation using UAV technology, in the areas hard-to-reach for classic aircrafts: case study in the north-east of Apuseni Mountains, Transylvania

2016 ◽  
Vol 82 (3) ◽  
pp. 1817-1832 ◽  
Author(s):  
Gheorghe Şerban ◽  
Ioan Rus ◽  
Dan Vele ◽  
Petre Breţcan ◽  
Mircea Alexe ◽  
...  
Keyword(s):  
Apuseni Mountains ◽  
North East ◽  
The North ◽  
Prone Area ◽  
Flood Prone Area

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.

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