Mapping and analysis of the physical vulnerability of coastal Tamil Nadu

Rajan, S.; Nellayaputhenpeedika, Mohammedali; Tiwari, Surya Prakash; Vengadasalam, Radhakrishnan

doi:10.1080/10807039.2019.1602752

Cited by 16 publications

(8 citation statements)

References 32 publications

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“…Like most coastal areas, CVP is also naturally prone to salinisation. The district where CVP is located has been identified as highly vulnerable to coastal flooding and erosion (Central Water Commission, 2017; Rajan et al, 2019). However, a range of factors within and beyond the village have led to soil salinisation.…”

Section: A Confluence Of Factorsmentioning

confidence: 99%

The socio-ecological contradictions of land degradation and coastal agriculture in south India

Pratheepa

Rengalakshmi

Sinha

2022

Environment and Planning E: Nature and Space

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This paper examines the drivers and impacts of degradation of agricultural land in a village in a South Indian coastal delta. Drawing on insights from political economy and political ecology scholarship, it argues that there is a dialectical relation between land degradation and social inequalities, i.e. the biophysical degeneration of land is not only caused by human and environmental factors but it also generates social contradictions which further intensify both land degradation and social inequalities. The paper demonstrates, firstly, that coastal land degradation has been generated in the form of soil salinity through a confluence of the inherent environmental vulnerabilities of the region, forces of commoditization (especially those associated with shrimp aquaculture), existing social hierarchies and state policy. Secondly, it shows that social groups differentiated by caste, class and gender have experienced these changes differently. A small, relatively well-off section of the locally dominant caste landowners has benefitted from shifting from paddy to shrimp aquaculture, which is leading to a further increase in salinisation. Others have to bear the brunt of decreasing productivity of land for crop cultivation, leading them to abandon or reduce cultivation and increase dependence on non-agricultural sources of income, especially through male outmigration. Women's burden of work has increased while their capacity to earn wage-income has declined. Without any concerted state effort to either restore the land or to alleviate the widespread agrarian distress, land degradation has developed into a continuously evolving downward spiral, but one where there will still be some winners and many losers.

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Section: A Confluence Of Factorsmentioning

confidence: 99%

The socio-ecological contradictions of land degradation and coastal agriculture in south India

Pratheepa

Rengalakshmi

Sinha

2022

Environment and Planning E: Nature and Space

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“…Most of these studies have focused on the physical flood modelling of a selected portion, considering only a few controlling factors. In this study, we attempted to comprehensively assess the flood risk for the entire stretch of the coastal plain of Tamil Nadu [48,[50][51][52][53][54][55][56][57][58]. Unlike other previous attempts, this study considered all the major dimensions of flood risks on a relative scale and presented the results at micro-administrative units.…”

Section: Discussionmentioning

confidence: 99%

A Multi-Data Geospatial Approach for Understanding Flood Risk in the Coastal Plains of Tamil Nadu, India

George

Kantamaneni

Allat

et al. 2022

Earth

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The coastal plains of Tamil Nadu, India, are prone to floods, the most common disaster experienced in this region almost every year. This research aims to identify flood risks in the coastal plain region of Tamil Nadu, delineated through a watershed approach with 5020 micro-administrative units covering an area of about 26,000 sq. km. A comprehensive flood risk assessment covering hazard, vulnerability, and exposure parameters was carried out using multiple datasets derived from field surveys, satellite data, and secondary data sources. The flood hazard layer was prepared on a probability scale (0–1) with the help of Sentinel-1 Synthetic Aperture Radar data coupled with GIS-based water rise modelling using Shuttle Radar Topography Mission Digital Elevation Model (SRTM-DEM) and reports of the District Disaster Management Plans of 13 coastal districts. In addition, the National Resources Conservation Service-Curve Number (NRCS-CN) method was adopted to estimate surface runoff potential for identifying low probability flood-prone regions. The vulnerability and exposure of the population to flood hazards were determined using census and household data-based indicators. The different categories of built-up areas were delineated and intersected with the flood hazard layer to estimate elements at flood risk. An exhaustive field survey was conducted at 514 locations of the study area, targeting deprived communities of all major settlements to validate the flood hazard layer and understand the public perceptions. The amalgamation of results shows that very high flood risk prevails in the northern parts of coastal Tamil Nadu, especially the stretch between Chennai and Cuddalore. In addition, to provide baseline datasets for the first time at micro-administrative units for the entire coastal plains of Tamil Nadu, the study offers a pragmatic methodology for determining location-specific flood risks for policy interventions.

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“…Furthermore, this region is highly prone to cyclones, storm surges and floods (Mazumdar and Paul, 2016;Thirumurugan and Krishnaveni, 2019). Many physical vulnerability analyses have documented this stretch to be a highly vulnerable zone (Nitheshnirmal et al 2018;Balasundareshwaran et al 2019;Priya Rajan et al 2019). Several multi-hazard vulnerability studies have also reported that coastal parts of Cuddalore district are very vulnerable to coastal hazards (Mahendra et al 2011;Murali et al 2013;Muthusankar et al 2013;Saxena et al 2013;Parthasarathy et al 2020) Recently, Rehman et al (2020) developed a composite vulnerability index for the coastal districts of India using exposure, sensitivity and adaptation to coastal hazards as factors, and showed that Cuddalore district has very high sensitivity and very low adaptation index, and is in agreement with our study where we report this region to be highly vulnerable.…”

Section: Discussionmentioning

confidence: 99%

“…A comprehensive analysis using multiple physicalsocio-economic variables have also been attempted to identify the vulnerability (Bjarnadottir et al 2011;Mullick et al 2019). Coastal vulnerability index (Mujabar and Chandrasekar, 2013;Mahapatra et al 2015;Priya Rajan et al 2019), coastal sensitivity index (Shaj, 2014) and habitant vulnerability index (Nitheshnirmal et al 2018;Balasundareshwaran et al 2019) are examples of comprehensive attempts to analyse the physical and/or human vulnerability to individual/multi-hazards in India. However, there is very little knowledge/analysis on socio-economic vulnerabilities at micro (village/ward) level considering predominantly the socio-economic variables instead of the highly location-specific physical vulnerability parameters (Hoque et al 2019).…”

Section: Introductionmentioning

confidence: 99%

Revealing the socio-economic vulnerability and multi-hazard risks at micro-administrative units in the coastal plains of Tamil Nadu, India

Balasubramani

George

Anusuya

et al. 2021

Geomatics, Natural Hazards and Risk

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Tamil Nadu (TN)'s South-Eastern coastal plain comprises of 5235 villages/wards, is densely populated ($2000/km 2 ), and is highly vulnerable to multi-hazard events. Earlier vulnerability case studies carried out in TN utilized district as a unit of analysis, considering mostly the physical parameters. For the first time, the socio-economic vulnerability at the level of micro administrative units was analyzed for the entire stretch of the coastal plains of TN using ten census and household data-based indicators. All the indicators were used to determine the degree of vulnerability and summed up to determine the hot spots of socio-economic vulnerability. Public perception surveys carried out with 406 respondents from 363 villages were used to derive the likelihood-impact risk matrix. Results show that $60% of the villages between the coastal stretch of Nagapattinam and Puducherry, including major parts of Cuddalore district are highly vulnerable (hot spots) to multi-hazard risks. The information retrieved at micro administrative units can be used by policymakers and coastal managers to develop effective plans for improving the resilience and preparedness of the community.

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Mapping and analysis of the physical vulnerability of coastal Tamil Nadu

Cited by 16 publications

References 32 publications

The socio-ecological contradictions of land degradation and coastal agriculture in south India

The socio-ecological contradictions of land degradation and coastal agriculture in south India

A Multi-Data Geospatial Approach for Understanding Flood Risk in the Coastal Plains of Tamil Nadu, India

Revealing the socio-economic vulnerability and multi-hazard risks at micro-administrative units in the coastal plains of Tamil Nadu, India

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