Urban Expansion and Sea-Level Rise Related Flood Vulnerability for Mumbai (Bombay), India Using Remotely Sensed Data

Pavri, Firooza

doi:10.1007/978-90-481-2238-7_3

Cited by 5 publications

(5 citation statements)

References 17 publications

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“…Index-based techniques such as the Coastal Vulnerability Index (CVI) are also used widely across the world [28,[40][41][42][43][44][45][46][47][48][49][50] 'Integrated Valuation of Ecosystem Services and Tradeoffs' (InVEST) is an open source software model that has a wide range of models to analyze a range of coastal vulnerabilities, including social, geographical, biological and economic factors [27]. Indian coasts have been studied mostly through the use of CVI methods for physical assessments [51][52][53][54] most of these studies required a certain amount of field data for the evaluation, due to limitations in the available spatial and temporal satellite data resolution [55] Remote-sensing approaches evident in the existing literature range from air-born to space-borne data gathering techniques; however, coastal vulnerability studies along the Indian coast were mostly restricted to the use of earth observing space-borne sensors [56][57][58][59][60][61][62]. Table 1 illustrates the range of parameters used across India to evaluate coastal vulnerability in diverse circumstances.…”

Section: Snapshot Of Coastal Vulnerability Methodologiesmentioning

confidence: 99%

A Systematic Review of Coastal Vulnerability Assessment Studies along Andhra Pradesh, India: A Critical Evaluation of Data Gathering, Risk Levels and Mitigation Strategies

Kantamaneni

Rani²,

Rice

et al. 2019

Water

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The establishment and alteration of any coastal feature is largely dependent upon complex hydrological and geomorphologic processes. Therefore, understanding hazard factors and threat risk level is crucial for mitigating risk in coastal zones. This study examines coastal vulnerability factors and their influence along the Coastal Andhra Pradesh (CAP) region in India. CAP has been exposed to frequent hydrological and meteorological hazards due to variations in the geographical, geological, and bathymetric characteristics. Despite substantial vulnerabilities, the risk to the coastline of Andhra Pradesh has not been rigorously evaluated. The current research systematically reviews the drivers and effects of hazards and vulnerabilities in CAP. Findings indicate that urban cities have a considerably higher risk of cyclones and floods due to their locations on the Bay of Bengal tectonic plate, the topology of this coastal region, and higher population density. The study revealed that the Coastal Vulnerability Index (CVI) data along CAP is mostly gathered using low-resolution satellite data and/or field observation surveys. The study further revealed that there are very few existing mitigation strategies developed or discussed within the obtained results. However, more accurate data gathering techniques for coastal vulnerability factors are available such as Unmanned Aerial Vehicles (UAVs): Air-borne and LiDAR sensors, which provide very high resolution data and low-cost accessibility to physically inaccessible places, making them suitable for vulnerability data collection in coastal locations. These findings are useful for stakeholders seeking to reduce or ameliorate the impact of coastal disasters and their impacts on the CAP economy, environment, and population. The study further helps to reduce the existing shortcomings in the assessment techniques used previously.

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Section: Snapshot Of Coastal Vulnerability Methodologiesmentioning

confidence: 99%

A Systematic Review of Coastal Vulnerability Assessment Studies along Andhra Pradesh, India: A Critical Evaluation of Data Gathering, Risk Levels and Mitigation Strategies

Kantamaneni

Rani²,

Rice

et al. 2019

Water

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“…The IPCC estimates that global mean sea levels will rise between 0.29 and 1.1 meters by 2,100 (IPCC, 2019). Sea level rise has the potential to drive coastal erosion, increase flooding from storm surges, and harm people, property, infrastructure, commerce, livelihoods, and coastal ecosystems (Nicholls, 2004;Dossou and Glehouenou-Dossou, 2007;Zanchettin et al, 2007;Pavri, 2009;Carbognin et al, 2010;Hanson et al, 2011). These risks are the greatest for cities with highly developed shorelines.…”

Section: Projected Climate Change Impacts For Coastal Citiesmentioning

confidence: 99%

The climate and ocean risk vulnerability index: Measuring coastal city resilience to inform action

Rouleau¹,

Stuart

Call

et al. 2022

Front. Sustain. Cities

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Today, coastal cities worldwide are struggling with the complex interaction of environmental threats, economic development, and societal inequity. The acceleration of global climate change, which will impact ocean health, sea level, rainfall patterns, and temperatures, will only further exacerbate the ongoing challenges faced by coastal cities. Coastal cities face interconnected risks that necessitate the use of a data collection and an assessment approach that can assess these impacts through a holistic lens. Risk is the interaction of hazards, exposure, and vulnerability, and while data on hazards and exposure is becoming more widely available, data on the vulnerability of urban coastal populations remains limited. These data gaps are particularly acute for the Global South, where climate change is expected to have the greatest near-term impacts. Policymakers need city-specific data to best understand their levels of risk and engage in effective adaptation planning. This paper introduces the Climate and Ocean Risk Vulnerability Index (CORVI), its conceptual framework, methodology, and protocol. The article also demonstrates the application of CORVI through two pilot projects in Castries, Saint Lucia and Kingston, Jamaica. It concludes with a reflection of lessons learned from the pilot projects, and an assessment of the utility of the structured expert judgement (SEJ) for collecting data and measuring risk in data sparse environments. This paper makes two primary contributions. First it introduces CORVI, a decision support tool that assesses climate risk and resilience in a coastal city. The tool uses the SEJ methodology to display risk scores across 10 risk categories and 94 indicators addressing ecological, financial, and political risk. Second, it demonstrates the use of the SEJ methodology in data sparse environments.

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“…Ramesh et al (2008) used extreme value analysis (EVA) to find out the hourly maximum rainfall, which is helpful in the estimation of flood levels during maximum rainfall conditions. The changes in the urban pattern (1973 and 2004) of the city were mapped using Landsat MSS and ETM+ data (Pavri 2010). A land-use map, using an unsupervised classification, and an elevation model using Shuttle Radar Topography Mission (SRTM) data were prepared, to identify the zones vulnerable to floods.…”

Section: Mumbai Citymentioning

confidence: 99%

Flood risk and adaptation in Indian coastal cities: recent scenarios

et al. 2018

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Coastal cities contrive to spread their transformative influence both into the hinterland, along the coastline, and into the coastal waters themselves. These effects will be intensified in urban agglomerations as the concentration of population and allied activities are more pronounced there compared to the inland regions. Indian coastal cities are no exception, and it is high time to delineate these hazard-prone regions and implement proper mitigation and adaptation strategies at city scale. This review article provides an assessment regarding quantification, management and climate change impacts of flood risks in Surat, Mumbai, Chennai and Kolkata, which are the most populated coastal cities in India. The flood impacts considered in the existing or prevailing analyses are associated with adverse effects on population, land use of cities, transportation and economy caused by different types of riverine and urban flooding, though coastal flooding, tsunami and storm surge effects are less studied. Mumbai and Kolkata are relatively progressive in the assessment of flood risks and adaptation. The present article also suggests strategies to evaluate the relative progress in the assessment of past and future risks and adaptation. We also discuss the mitigation and adaptation strategies considering the historical importance of these cities. We propose that the strategies should be implemented considering public opinion and should be initialized at the grass root level. Though it is technically difficult to re-plan the city structures in the current scenario, it is possible to adapt to and mitigate the effects of natural hazards through suitable planning and management with the integrated cooperation and involvement of citizens and government as well.

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Urban Expansion and Sea-Level Rise Related Flood Vulnerability for Mumbai (Bombay), India Using Remotely Sensed Data

Cited by 5 publications

References 17 publications

A Systematic Review of Coastal Vulnerability Assessment Studies along Andhra Pradesh, India: A Critical Evaluation of Data Gathering, Risk Levels and Mitigation Strategies

A Systematic Review of Coastal Vulnerability Assessment Studies along Andhra Pradesh, India: A Critical Evaluation of Data Gathering, Risk Levels and Mitigation Strategies

The climate and ocean risk vulnerability index: Measuring coastal city resilience to inform action

Flood risk and adaptation in Indian coastal cities: recent scenarios

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