Urban flood mitigation planning for Guwahati: A case of Bharalu basin

Sarmah, Tanaya; Das, Sutapa

doi:10.1016/j.jenvman.2017.10.079

Cited by 39 publications

(15 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Cities (in Table 1) are suffering due to prolonged inundation due to the alteration of natural drains. This is mainly because of haphazard urbanization, proliferation of slums and unabated construction activities in the valley zones and flood plains of the catchment areas (Ramachandra et al, 2012;Sarmah and Das, 2018). Urban flood event is rising even during normal rainfall events, which can be attributed to possible result of reckless development on the flood plains (Ramachandra et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Adaptive Capacity Assessment for A Flood Vulnerable Region through Land Use Modelling and Socio Economic and Physical Indicators

Narendr¹,

Das²,

Shivamurthy³

et al. 2020

J ENVIRON INFORM LET

View full text Add to dashboard Cite

Resistance from climate extremes requires robust adaptation strategy, especially in regions that have greater density and limited resource availability. Weather extremes, such as anomalous precipitation leading to floods have now become a frequent global phenomenon. These situations could lead to unforeseen disaster if the region remains under-equipped to adapt against the vulnerabilities. Therefore, the research objective aims to explore the current status of adaptability within proposed capital region of Andhra Pradesh on backdrop of future urban growth that region may undergo. Andhra Pradesh Capital Region (APCR) has experienced severe flood events in past due to intense rainfall, overflowing Krishna river and causing inundation due to sudden releases from reservoirs upstream. An index based assessment of Mandalas were carried out by selecting relevant factors through various literature reviews. The method comprises of assigning comparative scores to the mandals based on their performance for each parameter and categorizing them on a Likert scale of 1 to 5. The selected parameters are then prioritized by adding weights through pairwise comparison techniques using Analytical Hierarchical Process. Risk Map for the region was developed using weighted sum of flood vulnerability factors and urban development scenario of 2050. The results substantiate that the regional vulnerability is cumulatively influenced by exposure and sensitivity factors. The empirical findings identify female literacy and elevation as major contributor to flood vulnerability. Requirement for immediate interventions were suggested for the mandals with higher vulnerability and greater scope of urban transformation. The proposed method will help in quick identification of susceptible mandals that may suffer higher vulnerability in future. The method proposed will also be effective for formulation policies for redirecting scarce resources in areas needing adaptation against climate disasters.

show abstract

Section: Introductionmentioning

confidence: 99%

Adaptive Capacity Assessment for A Flood Vulnerable Region through Land Use Modelling and Socio Economic and Physical Indicators

Narendr¹,

Das²,

Shivamurthy³

et al. 2020

J ENVIRON INFORM LET

View full text Add to dashboard Cite

show abstract

“…Therefore, although each site area is different and Lidar data vary considerably, it is a useful method to potentially identify stormwater management issues. Additionally, potential stormwater depressions provide an important addition to support local government planning and the management of rapidly urbanizing areas where stormwater management is an increasing problem in many areas [46][47][48][49][50][51]. Traditionally, FEMA floodplain boundaries are the de-facto standard to measure flood risk, but they have been highly criticized and do not provide a complete picture of flood potential [52,53].…”

Section: Discussionmentioning

confidence: 99%

A Methodology to Assess Land Use Development, Flooding, and Wetland Change as Indicators of Coastal Vulnerability

Halls

Magolan

2019

Remote Sensing

View full text Add to dashboard Cite

Coastal areas around the world are becoming increasingly urban, which has increased stress to both natural and anthropogenic systems. In the United States, 52% of the population lives along the coast, and North Carolina is in the top 10 fastest growing states. Within North Carolina, the southeastern coast is the fastest growing region in the state. Therefore, this research has developed a methodology that investigates the complex relationship between urbanization, land cover change, and potential flood risk and tested the approach in a rapidly urbanizing region. A variety of data, including satellite (PlanetScope) and airborne imagery (NAIP and Lidar) and vector data (C-CAP, FEMA floodplains, and building permits), were used to assess changes through space and time. The techniques consisted of (1) matrix change analysis, (2) a new approach to analyzing shorelines by computing adjacency statistics for changes in wetland and urban development, and (3) calculating risk using a fishnet, or tessellation, where hexagons of equal size (15 ha) were ranked into high, medium, and low risk and comparing these results with the amount of urbanization. As other research has shown, there was a significant relationship between residential development and wetland loss. Where urban development has yet to occur, most of the remaining area is at risk to flooding. Importantly, the combined methods used in this study have identified at-risk areas and places where wetlands have migrated/transgressed in relationship to urban development. The combination of techniques developed here has resulted in data that local government planners are using to evaluate current development regulations and incorporating into the new long-range plan for the County that will include smart growth and identification of risk. Additionally, results from this study area are being utilized in an application to the Federal Emergency Management Agency’s Community Response System which will provide residents with lower flood insurance costs.

show abstract

“…In addition, some scholars, such as Sarmah and Das, have discussed methods of urban flood control planning and designed a comprehensive drainage network for the Bharalu Basin to plan urban flood control. By collecting data including land use, rainfall, and floodwater levels, rainstorm runoffs were calculated and seven different trapezoidal drainage sections were designed to form a comprehensive urban drainage network [32]. In the study of flood risk management, most scholars established models and carried out researches based on hydrological data, and less considered the impact of social and economic factors.…”

Section: Literature Reviewmentioning

confidence: 99%

Allocation of Flood Drainage Rights Based on the PSR Model and Pythagoras Fuzzy TOPSIS Method

Zhang

Shen

Liu

et al. 2020

IJERPH

View full text Add to dashboard Cite

To minimize losses caused by flooding of areas in a river basin, flood risk management may sacrifice the interests of some areas. Because of regional differences in natural and urban conditions, rankings of the urgencies of flood drainage rights allocations in different regions are of great practical significance to the realization of optimal allocations and reduction of damages. Based on the “pressure–state–response” (PSR) framework, this study designed an index system of flood drainage rights allocations in river basins for the comprehensive consideration of the different attributes of regional societies, environments, and technologies, as well as the differences in the quality of technical management and in the levels of social and economic development. A Pythagoras fuzzy TOPSIS method was used to evaluate the urgencies and determine the management of allocations in different areas. Eight cities in Jiangsu Province in the Huai River Basin were selected as the research objects. The results showed that pressure factors played dominant roles in the degrees of urgency. Among the cities, Nantong had the highest degree, followed by Taizhou, whereas Lianyungang had the lowest. The degrees in the central region of Jiangsu were higher than in the northern region.

show abstract

Urban flood mitigation planning for Guwahati: A case of Bharalu basin

Cited by 39 publications

References 13 publications

Adaptive Capacity Assessment for A Flood Vulnerable Region through Land Use Modelling and Socio Economic and Physical Indicators

Adaptive Capacity Assessment for A Flood Vulnerable Region through Land Use Modelling and Socio Economic and Physical Indicators

A Methodology to Assess Land Use Development, Flooding, and Wetland Change as Indicators of Coastal Vulnerability

Allocation of Flood Drainage Rights Based on the PSR Model and Pythagoras Fuzzy TOPSIS Method

Contact Info

Product

Resources

About