scholarly journals Spatio-temporal rainfall trend and homogeneity analysis in flood prone area: case study of Odaw river basin-Ghana

2020 ◽  
Vol 2 (12) ◽  
Author(s):  
Edward Kofi Ackom ◽  
Kwaku Amaning Adjei ◽  
Samuel Nii Odai
Keyword(s):  
River Basin ◽  
Rainfall Trend ◽  
Homogeneity Analysis ◽  
Prone Area ◽  
Spatio Temporal ◽  
Flood Prone Area

Flood Risk Assessment in Asian Flood Prone Area with Limited Local Data – Case Study in Pampanga River Basin, Philippines –

2016 ◽  
Vol 11 (6) ◽  
pp. 1150-1160 ◽  
Author(s):  
Miho Ohara ◽  
◽  
Naoko Nagumo ◽  
Badri Bhakta Shrestha ◽  
Hisaya Sawano ◽  
...  
Keyword(s):  
Risk Assessment ◽  
River Basin ◽  
Flood Risk ◽  
Evidence Based ◽  
Flood Risk Assessment ◽  
Damage Cost ◽  
Local Data ◽  
Prone Area ◽  
Flood Prone Area

Disaster risk assessment is vital to determining needs for disaster countermeasures and promoting their implementation. However, it is difficult to conduct evidence-based risk assessment in flood-prone areas of Asia due to area-specific characteristics such as limited local data on natural and societal conditions and local lifestyles of persons who have adapted to frequent floods. This paper proposes basic flood risk assessment considering these characteristics and explores a case study conducted in a flood-prone area of the Pampanga River basin in the Republic of the Philippines to verify our method. We surveyed local household members as part of the study to understand local situations, finding that past flood damage cost little thanks to building structures adapted to frequent flooding and to local ways of protecting property during floods. We also found that the use of depth-damage curves developed for urban areas may overestimate anticipated damage expected in future floods when these curves are applied to flood-prone rural areas. For this reason, we propose a method of flood risk assessment for evaluating the societal impact on residents’ lives using observed thresholds of inundation depth by flood simulation, rather than using a method that estimates damage cost. Application of our proposal to the case study area confirmed its applicability and effectiveness in evidence-based planning for reducing flood risk.

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 Spatio-Temporal Determination of Irrigated Paddy Rice Pixels Using Evapotranspiration and Vegetation Indices: A Case Study for Ca River Basin in Vietnam

2020 ◽  
Vol 08 (12) ◽  
pp. 94-107
Author(s):  
Chung N. Luong ◽  
Lan T. Ha ◽  
Thanh C. Pham ◽  
Hung X. Dinh ◽  
Thanh T. Hoang ◽  
...  
Keyword(s):  
River Basin ◽  
Vegetation Indices ◽  
Paddy Rice ◽  
Spatio Temporal ◽  
Ca River

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.

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.

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