Prediction of Flood Risk Zone of Ghaggar River Basin, India Using Graph Theory Technique

2021 ◽  
pp. 1-25
Author(s):  
Sanjoy Gorai ◽  
Dwarikanath Ratha ◽  
Amit Dhir
Keyword(s):  
Graph Theory ◽  
River Basin ◽  
Flood Risk ◽  
Risk Zone ◽  
Theory Technique

scholarly journals Flood Risk Zoning of Satluj River Basin, Himachal Pradesh, India

2015 ◽  
Vol 40 ◽  
pp. 6-15 ◽  
Author(s):  
Sandeep Kumar ◽  
Santosh
Keyword(s):  
At Risk ◽  
Land Use ◽  
River Basin ◽  
Flood Risk ◽  
Low Risk ◽  
Risk Zone ◽  
Risk Zoning ◽  
Risk Zones ◽  
Satluj River ◽  
Very High

Increasing intensity and frequency of rainfall coupled with gradual retreating of glaciers due to climate change in Himalayan region likely to increase the risk of floods. A better understanding of risk zones which are vulnerable to flood disasters can be evolved from the detailed studies on slope, geomorphology and land use/ land cover pattern. Information of these parameters is an important input for the identification of vulnerable areas. Flood risk maps provide useful information about places that may be at risk from flooding. It offers a cost-effective solution for planning, management and mitigation strategies in risky areas. Traditional methods of flood risk mapping are based on ground surveys and aerial observations, but when the phenomenon is widespread, such methods are time consuming and expensive. The possible combination of DEM and other maps of area using an overlay operation method within the Geographical Information System (GIS) platform can lead to derivation and the understanding of spatial association between various parameters which could be used to predict flood risk zones. The study area i.e. Satluj River Basin has been broadly divided into five risk zones viz., very low, low, moderate, high and very high which helped to differentiate between areas that are at risk of different intensities of flood. The very high flood risk zone covers only 3.25 % of total study area, while the very low risk zone covers 13.63 %. The area falls within the very high and high risk constitutes 9.52 % of total basin area. Domain of moderate risk covers an area of 30.66 %. But the maximum area of river basin is constituted by low risk zone i.e. 46.19 %. Identification of such zones will help in timely adopting of mitigation and adaptation measures. Preparation of flood risk zoning maps also helps in regulating indiscriminate and unplanned land use practices in risky areas.

scholarly journals Spatiotemporal Flood Risk Determination and Management for a Large River Basin

2021 ◽  
pp. 92-106
Author(s):  
Nuanchan Singkran
Keyword(s):  
High Risk ◽  
River Basin ◽  
Flood Risk ◽  
Mitigation Measures ◽  
Environmental Damage ◽  
Risk Zone ◽  
Risk Indices ◽  
Risk Zones ◽  
Chao Phraya River ◽  
Very High

The Chao Phraya River Basin (CPRB) of Thailand faces flooding almost every year. The severest flood occurred in the CPRB in 2011 with the highest property damage costs (46.5 billion USD) and the highest casualty (813 deaths). The objectives of this study were thus to (1) determine flood risk indices and categorize them into four risk zones (low, moderate, high, and very high) across 994 sub-districts in the CPRB during the six rainy months (May–October); and (2) propose specific measures for flood risk management for each of the categorized risk zones. The flood risk indices were assessed as the product of two hazard variables (flood levels and monthly cumulative precipitation) and the vulnerability variable (land uses). The findings revealed spatiotemporal variations in flood risk. Spatially, the sub-districts deemed to be in the high or very high flood risk zone were mainly located close to the Chao Phraya River (CPR), where the flood levels reached 1.1 – 4 m in depth; whereas the sub-districts detected in the low or moderate flood risk zone were located further away from the CPR. Temporally, more sub-districts were detected in the high or very high risk zone in September when heavy rainfalls were observed. Specific measures are proposed herein to manage flood risk regarding the categorized zones during three periods. The preventive and mitigation measures should be prepared before flooding; emergency responses should be practically implemented during flooding; and the recovery after flooding should cover both infrastructural and environmental damage and mental/physical illnesses amongst the affected people. Intensive measures are recommended for the sub-districts located in both the high and very high risk zones. These measures may be properly loosened for the sub-districts located in the low and moderate risk zones.

Changing of flood risk due to climate and development in Huaihe River basin, China

2016 ◽  
Vol 31 (4) ◽  
pp. 935-948 ◽  
Author(s):  
Yenan Wu ◽  
Ping-an Zhong ◽  
Bin Xu ◽  
Feilin Zhu ◽  
Biao Ma
Keyword(s):  
River Basin ◽  
Flood Risk ◽  
Huaihe River Basin ◽  
Huaihe River

scholarly journals Flood Risk Management with Transboundary Conflict and Cooperation Dynamics in the Kabul River Basin

Water ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 1513
Author(s):  
Yar M. Taraky ◽  
Yongbo Liu ◽  
Ed McBean ◽  
Prasad Daggupati ◽  
Bahram Gharabaghi
Keyword(s):  
Water Management ◽  
Risk Management ◽  
River Basin ◽  
Flood Risk ◽  
Hydraulic Modeling ◽  
Flood Risk Management ◽  
Flood Routing ◽  
Transboundary Water ◽  
Transboundary Water Management ◽  
Kabul River

The Kabul River, while having its origin in Afghanistan, has a primary tributary, the Konar River, which originates in Pakistan and enters Afghanistan near Barikot-Arandu. The Kabul River then re-enters Pakistan near Laalpur, Afghanistan making it a true transboundary river. The catastrophic flood events due to major snowmelt events in the Hindu Kush mountains occur every other year, inundating many major urban centers. This study investigates the flood risk under 30 climate and dam management scenarios to assess opportunities for transboundary water management strategy in the Kabul River Basin (KRB). The Soil and Water Assessment Tool (SWAT) is a watershed-scale hydraulic modeling tool that was employed to forecast peak flows to characterize flood inundation areas using the river flood routing modelling tool Hydrologic Engineering Center - River Analysis System -HEC-RAS for the Nowshera region. This study shows how integrated transboundary water management in the KRB can play a vital catalyst role with significant socio-economic benefits for both nations. The study proposes a KRB-specific agreement, where flood risk management is a significant driver that can bring both countries to work together under the Equitable Water Resource Utilization Doctrine to save lives in both Afghanistan and Pakistan. The findings show that flood mitigation relying on collaborative efforts for both upstream and downstream riparian states is highly desirable.

scholarly journals Flood risk index pattern assessment: case study in Langat River Basin

2018 ◽  
Vol 9 (2S) ◽  
pp. 12 ◽  
Author(s):  
A.S.M. Saudi ◽  
M.K.A. Kamarudin ◽  
I.S.D. Ridzuan ◽  
R Ishak ◽  
A Azid ◽  
...  
Keyword(s):  
River Basin ◽  
Flood Risk ◽  
Risk Index ◽  
Langat River

scholarly journals Analysis of Flood Risk of Urban Agglomeration Polders Using Multivariate Copula

Water ◽  
2018 ◽  
Vol 10 (10) ◽  
pp. 1470 ◽  
Author(s):  
Yuqin Gao ◽  
Dongdong Wang ◽  
Zhenxing Zhang ◽  
Zhenzhen Ma ◽  
Zichen Guo ◽  
...  
Keyword(s):  
Water Level ◽  
River Basin ◽  
Flood Risk ◽  
Eastern China ◽  
Urban Agglomeration ◽  
Dependence Structure ◽  
Flood Risks ◽  
The Impact ◽  
Flood Characteristics ◽  
Qinhuai River

Urban agglomeration polders (UAPs) are often used to control flooding in eastern China. The impacts of UAPs on individual flood events have been extensively examined, but how flood risks are influenced by UAPs is much less examined. This study aimed to explore a three-dimensional joint distribution of annual flood volume, peak flow and water level to examine UAPs’ impact on flood risks based on hydrological simulations. The dependence between pairwise hydrological characteristics are measured by rank correlation coefficients and graphs. An Archimedean Copula is applied to model the dependence structure. This approach is applied to the Qinhuai River Basin where UAPs are used proactively for flood control. The result shows that the Frank Copula can better represent the dependence structure in the Qinhuai River Basin. UAPs increase risks of individual flood characteristics and integrated risks. UAPs have a relatively greater impact on water level than the other two flood characteristics. It is noted that the impact on flood risk levels off for greater floods.

scholarly journals GIS-Based Climate Change Induced Flood Risk Mapping in Uhunmwonde Local Government Area, Edo State, Nigeria

2020 ◽  
pp. 8-23
Author(s):  
Obot Akpan Ibanga ◽  
Osaretin Friday Idehen
Keyword(s):  
Climate Change ◽  
Local Government ◽  
Flood Risk ◽  
Vegetation Index ◽  
Agricultural Land ◽  
Local Government Area ◽  
Risk Mapping ◽  
Risk Zone ◽  
Edo State ◽  
Risk Zones

Introduction: Flood is one of the climate change induced hazards occurring in most parts of the world. It exposes humanity and many socio-ecological systems to various levels of risks. In Nigeria, extreme rainfall events and poor drainage system have caused inundation of several settlements to flooding. To contain the disaster, risk mapping were among the measures recommended. Aims: The aim of this paper is to highlight flood risk zones (FRZ) in Uhunmwonde Local Government Area (LGA), Edo State, Nigeria. Methodology: Flood risk (FR) was mapped using hazards and vulnerability and implemented using geographic information system (GIS)-based multi-criteria analysis analytic hierarchy process (MCA-AHP) framework by incorporating seven environmental and two socio-economic factors. Elevation, flow accumulation, soil water index of wettest quarter, normalized difference vegetation index, rainfall of wettest quarter, runoff of wettest quarter and distance from rivers constituted the hazard component while population density and area of agricultural land use was the vulnerability layer. The climate change induced flood risk was validated using the responses of 150 residents in high, moderate and low flood risk zones. Results: The resulting flood risk map indicated that about 40.4% of Uhunmwonde LGA fell within high flood risk zone, 35.3% was categorized under moderate flood risk zone whereas low flood risk zone extended up to about 24.3% of the LGA. The high number of respondents who reported occurrence of flooding with frequency being very often and the fact that flooding was a very serious environmental threat during on-the-spot field assessment validated the generated climate change induced flood risk. Conclusion: The utilitarian capabilities of GIS-based MCA-AHP framework in integrating remotely-sensed biophysical and climate change related flood inducing indicators with socio-economic vulnerabilities to arrive at composite flood risk was demonstrated.

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