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  1. Article: Improving outcomes for socioeconomic variables with coastal vulnerability index under significant sea-level rise: an approach from Mumbai coasts

    Pramanik, Malay Kumar / Dash, Poli / Behal, Dimple

    Environment, development and sustainability. 2021 Sept., v. 23, no. 9

    2021  

    Abstract: Climate change has led to increased sea levels, which are caused by a complex interplay of the physical environment components from coastal areas, causing the rise in storm surge, erosion and flooding. In this scenario, the low-lying topography of the ... ...

    Abstract Climate change has led to increased sea levels, which are caused by a complex interplay of the physical environment components from coastal areas, causing the rise in storm surge, erosion and flooding. In this scenario, the low-lying topography of the Mumbai region is highly susceptible to sea level-induced flooding and coastal erosion due to the increasing number of economic activities. The unsustainable urbanization, unplanned development, and huge land conversion lead to the destruction of this region lead to the destruction of mangroves and filled waterways with construction debris which makes the region more vulnerable to flooding due to inadequate drainage, overflow and absence of natural protectors. These human-induced factors and their impacts remain unknown. Therefore, the study uses four socioeconomic variables (CVI4) with five geological (CVI5) and three geological variables (CVI8; with integrating CVI5) to assess the role of developmental and socio-economic activities in overall coastal vulnerability (CVI12) analysis. To quantify the importance of the combined variables and understand the response, random forest (RF) model was also used. This study selected four different iterations with integrating the pixel-based differentially weighted rank values of all variables to determine the significant causes behind that have an impact on coastal vulnerability index (CVI). The results show that CVI5 and CVI8 contributed 7.8% and 36.9%, respectively, whereas CVI4 contributed 55.3% to the CVI12. The response curve shows that the influence of these variables is an increasing trend to CVI12 and the results of CVI12 are highly correlated with socioeconomic index variables (r = 0.84, p = 0.001) which indicates the socio-economic variables played a major role towards the coastal vulnerability of the region. It suggests that unsustainable urbanization, unplanned development and coastal erosion increasing pressure make Mumbai and Kurla region more vulnerable to flood. Accordingly, CVI12 results show 55.83 km of the shoreline surveyed, being very low vulnerable, a moderate vulnerability of 60.91 km, while a high vulnerability of 50.75 km is considered to be very high. The results may be used as a guide in formulating policies to mitigate and adjust the Mumbai coast as the rise in sea level is expected to cause more frequent coastal floods, etc.
    Keywords climate change ; coasts ; drainage ; environment ; land use change ; models ; sea level ; shorelines ; storms ; topography ; urbanization ; India
    Language English
    Dates of publication 2021-09
    Size p. 13819-13853.
    Publishing place Springer Netherlands
    Document type Article
    ZDB-ID 1438730-x
    ISSN 1387-585X
    ISSN 1387-585X
    DOI 10.1007/s10668-021-01239-w
    Database NAL-Catalogue (AGRICOLA)

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  2. Article: Impacts of predicted sea level rise on land use/land cover categories of the adjacent coastal areas of Mumbai megacity, India

    Pramanik, Malay Kumar

    Environment, development and sustainability. 2017 Aug., v. 19, no. 4

    2017  

    Abstract: Physical and ecological responses of the coastal areas in the vicinity of Mumbai, India, due to relative sea level rise are examined by different inundation scenarios. Evaluation of potential habitat loss under sea level rise was made by incorporating ... ...

    Abstract Physical and ecological responses of the coastal areas in the vicinity of Mumbai, India, due to relative sea level rise are examined by different inundation scenarios. Evaluation of potential habitat loss under sea level rise was made by incorporating the land use/land cover (LULC) adopted from the digital elevation model with the satellite imagery. LULC categories overlaid on 1.0, 2.0, 3.0 and 4.0 m coastal elevation showed that the coastal areas of Mumbai were mostly covered by vegetation followed by barren land, agricultural land, urban areas and water bodies. For the relative sea level rise scenarios of 1.0, 2.0, 3.0 and 4.0 m, the tidal inundation areas were estimated to be 257.85, 385.58, 487.56 and 570.63 km², respectively, using GIS techniques. The losses of urban areas were also estimated at 25.32, 41.64, 54.61 and 78.86 km² for the 1.0, 2.0, 3.0 and 4.0 m relative sea level rise, respectively, which is most alarming information for the most populated city on the eastern coast of India. The results conclude that relative sea level rise scenario will lead profound impacts on LULC categories as well as on coastal features and landforms in the adjoining part of Mumbai. The sea level rise would also reduce the drainage gradients that promote flooding condition to rainstorms and subsequently increase saltwater intrusion into coastal regions. Alterations in the coastal features and landforms correlated with inundation characteristics that make the coastal region more vulnerable in the coming decades due to huge development activities and population pressures in Mumbai.
    Keywords agricultural land ; coasts ; digital elevation models ; drainage ; flooded conditions ; geographic information systems ; habitat destruction ; land cover ; land use ; remote sensing ; saltwater intrusion ; sea level ; surface water ; urban areas ; vegetation ; India
    Language English
    Dates of publication 2017-08
    Size p. 1343-1366.
    Publishing place Springer Netherlands
    Document type Article
    ZDB-ID 1438730-x
    ISSN 1387-585X
    ISSN 1387-585X
    DOI 10.1007/s10668-016-9804-9
    Database NAL-Catalogue (AGRICOLA)

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  3. Article: Coastal vulnerability assessment of the predicted sea level rise in the coastal zone of Krishna–Godavari delta region, Andhra Pradesh, east coast of India

    Pramanik, Malay Kumar / Biswajit Mondal / Raghunath Pal / Sumantra Sarathi Biswas

    Environment, development and sustainability. 2016 Dec., v. 18, no. 6

    2016  

    Abstract: The Krishna–Godavari coastal region in east coast of India has a 525.15-km-long coastline with low-lying tidal mudflats, beaches, mangrove swamp, creek and tidal channels. Recently, the increasing frequency of tropical cyclones in the Bay of Bengal, i ... ...

    Abstract The Krishna–Godavari coastal region in east coast of India has a 525.15-km-long coastline with low-lying tidal mudflats, beaches, mangrove swamp, creek and tidal channels. Recently, the increasing frequency of tropical cyclones in the Bay of Bengal, i.e., Phylin and Hudhud in Andhra Pradesh coast, and the devastating impact of the 2004 tsunami in India increased the significance in assessing the vulnerability of the coastal lands to inundation and flooding, notably in the context of climate change-induced sea level rise. This study aims to estimate a coastal vulnerability index (CVI) for the coastal subregion of Krishna–Godavari delta and to use the calculated index to evaluate the vulnerability of 14 coastal talukas of the Krishna–Godavari delta region. This CVI is calculated by using four geological and three physical parameters characterizing the vulnerability of the study coastal region, including regional slope, coastal elevation, geomorphology, significant wave height, mean tidal range and relative sea level using different conventional and remotely sensed data. Using a composite coastal vulnerability index based on the relative risk rating of those parameters, each of the 14 coastal talukas was classified according to their vulnerability. The CVI results depict that coasts are least and most vulnerable to inundation, flooding and erosion of coastal lands where geological parameters are more efficient to CVI. The paper alerts to decision makers and planners to mitigate the natural disaster and manage the coastal zone and is a primary step toward prioritizing coastal lands for climate change adaptation strategies in the view of increased storminess and projected sea level rise.
    Keywords beaches ; climate ; climate change ; coasts ; hurricanes ; relative risk ; remote sensing ; sea level ; streams ; swamps ; tsunamis ; Bay of Bengal ; India
    Language English
    Dates of publication 2016-12
    Size p. 1635-1655.
    Publishing place Springer Netherlands
    Document type Article
    ZDB-ID 1438730-x
    ISSN 1387-585X
    ISSN 1387-585X
    DOI 10.1007/s10668-015-9708-0
    Database NAL-Catalogue (AGRICOLA)

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