Social, economic and environmental assessment of urban sub-catchment flood risks using a multi-criteria approach: A case study in Mumbai City, India

Pathak, Shray; Liu, Min; Jato-Espino, Daniel; Zevenbergen, Chris

doi:10.1016/j.jhydrol.2020.125216

Cited by 70 publications

(26 citation statements)

References 66 publications

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“…In the present study, rainfall-runoff modeling is performed using the National Resources Conservation Services-Curve Number (NRCS-CN) method to estimate the surface runoff coefficient for 33 basins in the study area (Pathak et al 2020). The required input datasets are DEM, soil data, land use land cover (LULC), and rainfall data of the study area (Toosi et al 2019).…”

Section: Runoff Coefficientmentioning

confidence: 99%

“…The extent of flood hazard and vulnerability depends on topographical, geological, drainage characteristics, hydrological, meteorological, demographical conditions of the region (Toosi et al 2019;Pathak et al 2020;Hazarika et al 2018;Arora et al 2019). The flood hazard and vulnerability indicators are classified into different classes, and effective weights are assigned according to their significance i.e., very low (1), low (2), moderate (3), high (4), and very high (5) (Table 4 and 5…”

Section: Spatial Distribution Of Flood Hazard and Vulnerability Indic...mentioning

confidence: 99%

“…Several researchers have done GIS-based flood vulnerability studies using multiple approaches (Hazarika et al 2018;Brito et al 2019;Dekongmen et al 2021). Rashetnia and Jahanbani (2021) Detailed flood risk assessment has been carried out by incorporating hazard and vulnerability assessment and hydrological models (Vojtek and Vojteková 2019;Sharma et al 2018;Pathak et al 2020). The essential factor in flood risk assessment is the proper weightage assignment to the selected indicators.…”

Section: Introductionmentioning

confidence: 99%

“…)(Chakraborty and Mukhopadhyay 2019;Pathak et al 2020).A thematic layer of flood hazard indicators is generated in GIS (Figure2(a)-2(l)). Lower, North, Upper, and Barak valley of Assam are more flood-prone due to lower elevation, milder slopes, lower TWI, sedimentary rock structure, and sandy clay loam soil texture.…”

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confidence: 99%

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A GIS-based flood risk mapping of Assam, India, using the MCDA-AHP approach at the regional and administrative level

Gupta

Dixit

2022

Geocarto International

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Floods are hydrological disasters that can alter the physical, socioeconomic, and environmental settings of a region. The objective of the present study is to develop an efficient and reliable methodology to prepare a flood risk map for Assam, the North-eastern region (NER) of India, by the integration of hazard and vulnerability components. Three indices, namely flood hazard index (FHI), flood vulnerability index (FVI), and flood risk index (FRI), are developed using multi-criteria decision analysis (MCDA) -Analytical hierarchy process (AHP) approach in GIS environment for the regional and administrative level of Assam. The selected hazard and vulnerability indicators define the topographical, geological, meteorological, drainage characteristics, land use land cover, and demographical features of Assam. The results show that more than 70% of the total area lies in the moderate to very high FHI class, 57.37% have moderate to high FVI, and more than 50% have moderate to very high FRI class.

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Section: Runoff Coefficientmentioning

confidence: 99%

Section: Spatial Distribution Of Flood Hazard and Vulnerability Indic...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

A GIS-based flood risk mapping of Assam, India, using the MCDA-AHP approach at the regional and administrative level

Gupta

Dixit

2022

Geocarto International

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Section: Introductionmentioning

confidence: 99%

A GIS-based flood risk mapping of Assam, India, using the MCDA-AHP approach at the regional and administrative level

Gupta

Dixit

2021

Preprint

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Floods are hydrological disasters that can alter the physical, socioeconomic, and environmental settings of a region. The objective of the present study is to develop an efficient and reliable methodology to prepare a flood risk map for Assam, the North-eastern region (NER) of India, by the integration of hazard and vulnerability components. Three indices, namely flood hazard index (FHI), flood vulnerability index (FVI), and flood risk index (FRI), are developed using multi-criteria decision analysis (MCDA) – Analytical hierarchy process (AHP) approach in GIS environment for the regional and administrative level of Assam. The selected hazard and vulnerability indicators define the topographical, geological, meteorological, drainage characteristics, land use land cover, and demographical features of Assam. The results show that more than 70% of the total area lies in the moderate to very high FHI class, 57.37% have moderate to high FVI, and more than 50% have moderate to very high FRI class.

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Introduction to Sustainable Development and Geospatial Technologies

Dwivedi,

Singh,

Gupta

et al. 2024

Sustainable Development and Geospatial Technology

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Social, economic and environmental assessment of urban sub-catchment flood risks using a multi-criteria approach: A case study in Mumbai City, India

Cited by 70 publications

References 66 publications

A GIS-based flood risk mapping of Assam, India, using the MCDA-AHP approach at the regional and administrative level

A GIS-based flood risk mapping of Assam, India, using the MCDA-AHP approach at the regional and administrative level

A GIS-based flood risk mapping of Assam, India, using the MCDA-AHP approach at the regional and administrative level

Introduction to Sustainable Development and Geospatial Technologies

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