Coastal inundation due to tropical cyclones along the east coast of India: an influence of climate change impact

Rao, A. D.; Upadhaya, P.; Hyder, Ali; Pandey, Smita; Warrier, Vidya

doi:10.1007/s11069-020-03861-9

Cited by 28 publications

(11 citation statements)

References 31 publications

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“…Besides this, a comparatively higher concentration of temporary housing has been found among the districts of eastern coastal areas and adjacent part of Bihar, Jharkhand, and Uttar Pradesh. The eastern coastal area is a relatively more cyclone‐affected region than other coastal parts of India (Dube, 2012; Mahapatra, 2015; Mohapatra et al, 2012; Rao et al, 2020; Sahoo & Bhaskaran, 2015; Sarkhel et al, 2019). Therefore, to reduce the cyclonic vulnerability of this region, permanent, safe, climatic‐extreme‐event‐resilient, and sustainable housing needs to constructed for the owners of temporary houses.…”

Section: Discussionmentioning

confidence: 99%

A Geospatial Analysis of Temporary Housing Inequality among Socially Marginalized and Privileged Groups in India

Ghosh

Alam

Ghosal

et al. 2021

Regional Science Policy & Practice

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A major obstruction of Indian society to establish equality, balanced growth and development is regional and social group‐wise inequality in availing even basic human needs as well as housing conditions. The present study focuses on mapping the nationwide spatial disparity in the distribution and inequality of temporary housing among socially marginalized and privileged groups, along with three administrative hierarchies: National–State–District. Varieties of measures (Lorenz curve, Gini coefficient, correlation, and quadrant analysis) have been employed for this study. The results indicate inequality in the spatial distribution of serviceable and non‐serviceable temporary housing in India, along with a geospatial disparity in the ownership of temporary housing among different social groups. A number of districts in Orissa, Jharkhand, Bihar, West Bengal, Uttar Pradesh, Rajasthan, Jammu Kashmir, and Tamil Nadu have shown a higher proportion of temporary housing along with more ownership among socially marginalized groups. Besides this, districts from Bihar, Orissa, Arunachal Pradesh, Assam, Meghalaya, Nagaland, and Tripura have higher proportion of non‐serviceable temporary housing than the national average, along with more ownership among marginalized groups. The categorization of the states and districts based on social group‐wise inequality in the ownership and the concentration of temporary housing is significant for improving of the policies and initiatives taken by the Government to arrange safe, affordable, adequate, and sustainable housing for all.

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Section: Discussionmentioning

confidence: 99%

A Geospatial Analysis of Temporary Housing Inequality among Socially Marginalized and Privileged Groups in India

Ghosh

Alam

Ghosal

et al. 2021

Regional Science Policy & Practice

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“…Ongoing development as well as industrial and trade expansion that neglect the sustainability of natural resources and the carrying capacity of the environment (especially soil conditions and the balance of groundwater resources) cause land subsidence Khoirunisa et al 2015;Pujiastuti et al 2015;Kasfari et al 2018, Rao 2020 and result in land below sea level (Nugraha et al 2015;Kuehn et al 2010). The ongoing global warming also affects sea level rise Ward et al 2011;Nurhendro & Marfai 2016) which has implications for the widening level of tidal flood inundation in lowland areas (Gallien et al 2013;Astuti et al 2020).…”

Section: Research Backgroundmentioning

confidence: 99%

The Impact of Tidal Flooding on Decreasing Land Values in the Areas of Tugu District, Semarang City

Utami¹,

Wibowo²,

Permadi³

2021

J. Ilmu Lingk.

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Semarang City as one of the areas on the north coast has a serious problem related to tidal flooding. The impact of this disaster has implications for changes in land use, a decrease in environmental quality and health, the emergence of slum settlements, a decrease in income and also a decrease in land value. This study aims to map the impact of tidal flooding on changes in land values based on the Land Value Zone Map (ZNT) and map land prices based on spatial data analysis. The study was carried out through spatial analysis by overlaying (join intersection) the 2014, 2016, 2018 and 2019 ZNT maps to determine changes in land value, while mapping land prices, especially in Mangunharjo Village, was based on land use maps, positive accessibility (road network) and negative accessibility (prone flood rob). The results of the study show that land which is permanently affected by tidal flooding and cannot be used anymore makes it a lost / destroyed land, while periodically inundated land has experienced a price decline in the range of Rp 100.000 – 200.000, -/m2. Meanwhile, the results of the study from the ZNT map for 2014 to 2019 show a very significant difference in price between zone 1 and a price increase of ± Rp 3.500.000; zone 2 price increase ± Rp 575.000, -, zone 3 at a price range of Rp 385.000, and zone 4 as the tidal flood prone zone only experienced an increase of Rp 250.000,-. In this context, the variable of tidal flooding vulnerability greatly affects the stagnation of land prices and even decreases in land prices, while the positive accessibility variable is the location of land on national and local roads that has experienced a very high price increase.

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“…Then the probable maximum surge values along the coast are computed using the constant values of track characteristics in a hydrodynamic model. Rao et al (2020) constructed district-wise synthetic tracks along the Tamil Nadu coast.…”

Section: Introductionmentioning

confidence: 99%

“…Rao et al . (2020) constructed district‐wise synthetic tracks along the Tamil Nadu coast. The central pressure obtained through statistical distribution for 2‐, 5‐, 10‐, 25‐, and 50‐year return periods are used to estimate the respective return period surge values of the Tamil Nadu coast.…”

Section: Introductionmentioning

confidence: 99%

Improved accuracy of storm surge simulations by incorporating changing along‐track parameters

Sridharan

Chaitanya

Sudheer

et al. 2022

Intl Journal of Climatology

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The estimation of maximum storm surges along a coast is indispensable for emergency action planning, design, and adaptation of coastal infrastructure. The existing studies on the Bay of Bengal coast have used synthetic tracks with constant track parameters such as the maximum wind speed, radius of maximum wind, and central pressure to estimate the probable maximum storm surges. However, the analysis of the best tracks from the Joint Typhoon Warning Center during 1978–2019 shows that the track parameters vary from origin to landfall locations. The reported studies along the Bay of Bengal have failed to capture such variations and overestimated probable maximum storm surges due to constant track parameters. Therefore, this study proposes a methodology for estimating wind speed of various return periods and associated track parameters that vary along a synthetic track. The wind speed of different return periods is computed at each eye location using the probabilistic approach. Thus, the calculated wind speeds vary from origin to landfall locations, and such a pattern of wind speed variation is observed to be similar to the historical cyclones. The radius of maximum wind and central pressure is calculated using the regression equations derived from historical tracks. The accuracy of the proposed methodology is investigated by simulating the cyclones Thane and Vardah that occurred along the Tamil Nadu coast. The results suggest that the varying track parameters using the proposed methodology produce realistic surge values similar to parameters from best track data, and it overcomes the overestimation of surge heights. The proposed methodology is further utilized to analyse the maximum surge scenarios along the Tamil Nadu coast resulting from various track shifts and angles of attack. The proposed methodology is expected to improve the estimation of storm surges in other basins.

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Coastal inundation due to tropical cyclones along the east coast of India: an influence of climate change impact

Cited by 28 publications

References 31 publications

A Geospatial Analysis of Temporary Housing Inequality among Socially Marginalized and Privileged Groups in India

A Geospatial Analysis of Temporary Housing Inequality among Socially Marginalized and Privileged Groups in India

The Impact of Tidal Flooding on Decreasing Land Values in the Areas of Tugu District, Semarang City

Improved accuracy of storm surge simulations by incorporating changing along‐track parameters

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