Coastal vulnerability assessment using Geospatial technologies and a Multi-Criteria Decision Making approach – a case study of Kozhikode District coast, Kerala State, India

Kumar, K. Ch. V. Naga; Deepak, P.M.; Ahammed, K. K. Basheer; Rao, K. Nageswara; Gopinath, Girish; Dinesan, V.P.

doi:10.1007/s11852-022-00862-7

Cited by 8 publications

(4 citation statements)

References 54 publications

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“…The inclusion of both remotely sensed and in situ data makes these results more relevant and reliable. In line with our above findings, Mujabar et al [17], Priya Ranjan et al [49], and Sankari et al [55] reported that Thiruvallur, Chennai, and Cuddalore on the Tamil Nadu coast are highly vulnerable, whereas Naga Kumar et al [47] identified Alappuzha, Ernakulam, Thrissur on the Kerala coast as highly vulnerable due to coastal processes in terms of physical and social perspectives. It is noteworthy to mention that the coarse resolution of Wave Watch III and the limited tide gauge station data in GLOSS-PSMSL can potentially influence the three derived vulnerabilities on the Indian coast.…”

Section: Discussionsupporting

confidence: 84%

“…The regional elevation was obtained from SRTM, and the classification of elevation was performed based on earlier studies in the same or similar regions. The classification scheme used by Basheer [11,47] for regional elevation was considered as it was suitable for the selected study area. In this case, the class intervals for elevation were ≤0, 1-10 m, 10-20 m, 20-30 m, and >30 m. Typically, various coastal processes influence the coast up to 50 m. In the worst case, regions below 0 m are more vulnerable than regions at a certain altitude.…”

Section: Methodsmentioning

confidence: 99%

“…Less than 1.8 mm changes were observed on the majority of the east coast, whereas sea level rise between 1.81 and 2.5 mm was seen along the Kerala coast and the northern Tamil Nadu coast (Figure 4). The above classification is adopted from a study by Naga Kumar [47]. As shown in Figure 4, the highest sea level rise was found on the west coast at Mangalore, followed by Kochi, Chennai (east), and further followed by Tuticorin and Thangachimadam, respectively.…”

Section: Mean Sea Level Risementioning

confidence: 99%

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Characterization of the Coastal Vulnerability in Different Geological Settings: A Comparative Study on Kerala and Tamil Nadu Coasts Using FuzzyAHP

Dwivedi,

Pampattiwar,

Pandey

et al. 2023

Sustainability

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The acceleration of coastal processes is manifested in the form of coastal erosion, average sea level rise, drastic changes in coastlines, and more turbulent ocean waters. In this study, the coasts of Kerala and Tamil Nadu, India, were selected to identify the effects of increasing coastal processes. Therefore, it is necessary to identify and map vulnerable areas by taking into account the key parameters, such as topographical and socio-economic factors, to relate to coastal processes. The fuzzy Analytical Hierarchy Process (AHP) method was employed to identify the most vulnerable zones. The key findings revealed that about 14% and 2% of the coast of Tamil Nadu and Kerala, respectively, are classified under the physically highly vulnerable category. Similarly, ~17% and ~30% of coastal Tamil Nadu and Kerala, respectively, are highly socially vulnerable. The overall vulnerability assessment showed that 7–8% of both coastal areas were highly vulnerable. We concluded that the Thiruvallur, Chennai, Kanchipuram, Cuddalore, and Nagapattinam coasts on the east coast and the Malappuram, Thrissur, Ernakulam, Alappuzha, and Kollam coasts on the west coast were very highly vulnerable to coastal processes. Identifying vulnerable zones helps to better understand the impacts of rapid coastal processes and, with this prior estimation, the policymakers can take necessary actions to mitigate the irreversible impacts of coastal processes.

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Section: Discussionsupporting

confidence: 84%

Section: Methodsmentioning

confidence: 99%

Section: Mean Sea Level Risementioning

confidence: 99%

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Characterization of the Coastal Vulnerability in Different Geological Settings: A Comparative Study on Kerala and Tamil Nadu Coasts Using FuzzyAHP

Dwivedi,

Pampattiwar,

Pandey

et al. 2023

Sustainability

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“…A total of six numbers of toposheets were used in the study area, namely 73K10, 73K15, 73O273K14, 73K15, and 73O3. The slope map was generated using a high‐resolution (12.5 m) digital elevation model (DEM) of the four‐tile ALOS PALSAR data (Naga Kumar et al., 2022) from the open source website (https://asf.alaska.edu). The Budhabalanga River and the Sono River are important rivers flowing in the study area.…”

Section: Data Sourcementioning

confidence: 99%

Site suitability analysis for industrial development using geospatial technology and multi criteria decision making

Giri,

Tripathy,

Swain

et al. 2023

Environmental Quality Mgmt

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In the process of developing industries to eradicate poverty, developing countries continue to invest more in their land use system, as this may provide a safeguard to food security through a healthy ecosystem and have a positive impact on sustainability. The Geographic Information System (GIS) has created an unprecedented world of possibilities for processing data from remote sensing and other sources. Multi Criteria Decision Making (MCDM), in conjunction with geospatial technology, provides a tool for industrial area mapping and management. The current research was conducted in three blocks of the Baleshwar district in northern Odisha, India. Analysis of a location's physical, social, and economic factors to see if it is good for a certain use, like an industrial setup, urban planning, or recreational use, is becoming more and more important in today's world so that important decisions can be made within a short period. Due to the fact that the present research location is located in close proximity to both hilly terrain and a coastal plan, the site's appropriateness may be improved by employing a variety of factors to design an industrial setup that is economically viable. The goal of the study is to apply land suitability analysis (LSA) to identify existing land use in areas with industrial growth potential so that agricultural and industrial development may focus on long‐term sustainability. According to this study, 16.6% (201.79 km2) of the area is highly suitable, 48.2% (586.96 km2) is moderately suitable, 15.5% (188.40 km2) is less suitable, and 19.71% (239.73 km2) is not suitable at all. Due to the abundance of raw materials, improved communication, and proximity to the shore, the Baleswar block has the largest percentage of highly suitable areas when compared to the Remuna and Nilgiri blocks of the research area.

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Assessing climate change risks using multi-criteria decision-making (MCDM) techniques in Raichur Taluk, Karnataka, India

Zewdu,

Krishnan,

Raj

et al. 2024

Stoch Environ Res Risk Assess

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Coastal vulnerability assessment using Geospatial technologies and a Multi-Criteria Decision Making approach – a case study of Kozhikode District coast, Kerala State, India

Cited by 8 publications

References 54 publications

Characterization of the Coastal Vulnerability in Different Geological Settings: A Comparative Study on Kerala and Tamil Nadu Coasts Using FuzzyAHP

Characterization of the Coastal Vulnerability in Different Geological Settings: A Comparative Study on Kerala and Tamil Nadu Coasts Using FuzzyAHP

Site suitability analysis for industrial development using geospatial technology and multi criteria decision making

Assessing climate change risks using multi-criteria decision-making (MCDM) techniques in Raichur Taluk, Karnataka, India

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