flood prone area
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Author(s):  
Murtuza Al-Mueed ◽  
Md Rafique Ahasan Chawdhery ◽  
Emmanuel Harera ◽  
Riyadh A. Alhazmi ◽  
Abdulmajeed M. Mobrad ◽  
...  

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.


2021 ◽  
Vol 13 (24) ◽  
pp. 13513
Author(s):  
Antonio J. Sanhouse-García ◽  
Jesús Gabriel Rangel-Peraza ◽  
Sergio A. Rentería-Guevara ◽  
Yaneth A. Bustos-Terrones ◽  
Zuriel D. Mora-Félix ◽  
...  

Urban development decreases infiltration, increases the runoff velocity, and reduces the concentration times. This situation increases the flood risk in urban watersheds, which represent a management challenge for urban communities and authorities. To increase the resilience of communities due to modifications of the hydrological cycle produced by climate change and urban development, a methodology is proposed to delineate flood-prone areas in urban basins. This methodology is implemented in an urban subbasin of Culiacan, Mexico, and is based on stream order. A high-resolution digital elevation model was used, which was validated independently through a photogrammetric flight with an unmanned aerial vehicle and ground control points obtained with GNSS (global navigation satellite systems) receivers. Morphometric parameters related to geometry, shape, relief, and drainage network aspects of the subbasin were determined and analyzed. Then, flood-prone area zonation was carried out based on stream-order classification and flow direction. Fieldwork was also carried out for the inspection of the sewage network conditions. This methodology simplifies the identification of the flood-prone areas in urban subbasins without carrying out complex hydraulic calculations.


2021 ◽  
Vol 930 (1) ◽  
pp. 012096
Author(s):  
L Sedyowati ◽  
G Chandrarin ◽  
G I K Nugraha

Abstract Dealing with flooding in a densely populated flood-prone area poses complex challenges. Almost all residents realize that living in the area is hazardous. However, they choose to stay there. Therefore, flood risk management should be applied in the area. This study aims to: 1) develop facts of the local community in a flood-prone area in decreasing the flood risk while improving well-being through modifying drainage channels used for fish and vegetable farming; 2) evaluate all benefits of drainage investments include the social and economic benefits. The research method consists of a quantitative approach through the distribution of questionnaires and a qualitative approach through in-depth interviews and field surveys. In this study, a concerted community effort was developed as a design parameter. At the same time, the observation parameters include knowledge of the causes of flooding, knowledge of flood risk, community involvement, and government flood control programs. The results showed that the strength of concerted community effort was significantly influenced by the knowledge of flood risk and the local community involvement. This effort can decrease the flood risk by up to 30% and serve direct financial benefits of IDR 48 million in a year.


2021 ◽  
Vol 916 (1) ◽  
pp. 012001
Author(s):  
A Nursaiba ◽  
M Ulimaz

Abstract Flood is a major disaster in Balikpapan City. One of the locations experiencing high flooding is in the Damai settlement area (Ampal River Watershed), especially in Mayor Polisi Zainal Arifin Street. One of the causes of this flood-prone area is the suboptimal drainage conditions. This study aimed to assess the drainage services in the Damai settlement area (Ampal River Watershed), of Mayor Polisi Zainal Arifin Street to observe the drainage services and overcome flood problems. Achieving such goals was done by analyzing the service level of the drainage channel by using the scoring and weighting method. The scoring and weighting method produced classifications of drainage services in the Damai settlement area (Ampal River Watershed) on Mayor Polisi Zainal Arifin Street, namely, medium and bad drainage services. There is segment 2 channel 2A, segment 3 channel 3A, segment 4 channel 4A, and segment 5 on channel 5A and 5B classified as having bad service level and there are 13 channels classified as having moderate service levels.


Author(s):  
Nguyễn Đăng Giáng Châu ◽  
Lê Đăng Bảo Châu ◽  
Huỳnh Thị Phương Linh

People living in flood-prone areas are vulnerable to damages caused by annual floods, including changes in water quality. Seasonal flooding alters water quality in many aspects by introducing silt, nutrients, organic compounds, and sometimes bacteria. In this study, 50 household interviews in Quang Thanh commune - Quang Dien district, the flood-prone area in Thua Thien Hue province, were conducted to identify the flood characteristics. A total of 36 water samples, including surface- and pipe water, were collected and analyzed the basic parameters in December 2019 and June 2020 to preliminarily demonstrate the main impacts of the flood on water quality. In general, in some aspects, flood helped reduce the organic contaminants (based on DO, BOD, and COD values assessment) and salinity, and somehow increase the total coliform and E.coli at most of the sampling stations. Unpredictable weather and hydropower plant from upstream were believed to be the main causes of flood volume reduction in recent years, which also contributed to changes in water quality.


Author(s):  
Rahma Metrikasari ◽  
Andi Sulasikin ◽  
Yudhistira Nugraha ◽  
Farizah Rizka Rahmaniar ◽  
Andy Ernesto ◽  
...  

2021 ◽  
Author(s):  
Andrea Magnini ◽  
Michele Lombardi ◽  
Simone Persiano ◽  
Antonio Tirri ◽  
Francesco Lo Conti ◽  
...  

Abstract. Recent literature shows several examples of simplified approaches that perform flood hazard (FH) assessment and mapping across large geographical areas on the basis of fast-computing geomorphic descriptors. These approaches may consider a single index (univariate) or use a set of indices simultaneously (multivariate). What is the potential and accuracy of multivariate approaches relative to univariate ones? Can we effectively use these methods for extrapolation purposes, i.e. FH assessment outside the region used for setting up the model? Our study addresses these open problems by considering two separate issues: (1) mapping flood-prone areas, and (2) predicting the expected water depth for a given inundation scenario. We blend seven geomorphic descriptors through Decision Tree models trained on target FH maps, referring to a large study area (≈105 km2). We discuss the potential of multivariate approaches relative to the performance of a selected univariate model and on the basis of multiple extrapolation experiments, where models are tested outside their training region. Our results show that multivariate approaches may (a) significantly enhance flood-prone area delineation (overall accuracy: 93 %) relative to univariate ones (overall accuracy: 84 %), (b) provide accurate predictions of expected inundation depths (determination coefficient ≈0.7), and (c) produce encouraging results in extrapolation.


2021 ◽  
Author(s):  
Dinku Ebabu ◽  
Fikadu Fufa ◽  
Asnake Boyana ◽  
Getahun Sisay

Abstract Background In Ethiopia, flooding has long been recognized as one of the major environmental perils that often develop into a disaster affecting the lives and livelihoods of people for many years. Assessing flood causative factors and identifying flood risk prone areas are very crucial to minimize the harmful consequences of the hazard on the socio-economic conditions of the environment. Result The causative factors of flooding were developed and converted into raster formats to make them classification-ready. Finally, weighted overlay analysis is used to generate the flood risk areas. Based on key factors, the district was classified in to five-risk classes namely; very low, low, moderate, high and very high-risk Flooding zones. The major finding of the study prevails that, most areas of the district is at low, moderate and high-risk zones accounts 25.58, 61.41 and 12.81% respectively. Conclusion The flood prone area is mainly found in the eastern and southern parts of the study area based on their LULC type, soil characteristics and nearness to rivers. The study demonstrates, a significant area of the district is at a high risk for flooding and hence preliminary measures should be taken with the concerned bodies to reverse the resulting adverse impacts on environment.


2021 ◽  
Vol 5 (2) ◽  
pp. 132-141
Author(s):  
Lusiani Pryastuti ◽  

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


2021 ◽  
Author(s):  
Chinh Luu ◽  
Quynh Duy Bui ◽  
Romulus Costache ◽  
Luan Thanh Nguyen ◽  
Thu Thuy Nguyen ◽  
...  

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