Integrated coastal zone management plan for Udupi coast using remote sensing, geographical information system and global position system

Dwarakish, G. S.; Vinay, S.; Dinakar, S.; Pai, Jagadeesha B; Mahaganesha, K.; Natesan, Usha

doi:10.1117/1.2919101

Cited by 17 publications

(8 citation statements)

References 2 publications

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“…In 2000, 70 aquaculture ponds were recorded with an average size of 0.62 ha in Kundapura, where 89% used fertilizers and 79% used pest control measures in aquaculture farming (FAO, 2007). In 2008, aquaculture activities in an area covering 230.91 hectares near Kundapura region and seven boat building yards were recorded (Anon, 2008; Dwarakish et al., 2008). In 1997, 11,677 MT of fish were caught (Gadgil, 2005) which increased to 32535.26 MT in 2012 (Coastal zone environment management plan, 2012); further 20 ice plants, 2 cold storages, 120 tanks for fisheries, and 55 fish market were recorded in Kundapura in 2012.…”

Section: Resultsmentioning

confidence: 99%

Economic valuation of ecosystem services for application of circular economy approach in conservation of Kundapura mangroves of Karnataka, India

Pandi

Karthi

Dhivya

et al. 2022

Environmental Quality Mgmt

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Coastal areas are overwhelmingly rich in resources and support the livelihoods of the local communities. Coastal mangrove ecosystem provides a wide range of goods and services for human needs and wellbeing. To value conservation benefits of 252.29 ha extent of Kundapura mangrove ecosystem's goods and services, an economic valuation study was conducted using Systems of Environmental Economics Accounting (SEEA) framework. In total, seven ecosystem benefits were identified under provisioning, regulating and cultural services categories of SEEA. Identified baskets of benefits are fisheries, timber, fuelwood, protection against storms and floods, water quality maintenance, carbon sequestration, recreation and tourism. Out of seven benefits, the present study has found that the disturbance regulation benefit's contribution, which is about 92.65% of overall benefits with its economic value, US$1.786 million per year (17.86 lakh). Disturbance regulation benefit has significant role in reducing the impact of vulnerability from coastal hazards and sheltering 4354 individuals of population occupying 1088 houses. Despite that fact, Kundapura mangrove's assets are being degraded by various negative externalities. Particularly reclamation for aquaculture purpose and consequent discharging of the effluents, and dumping of sludge and municipal solid wastes (MSWs). These externalities would exacerbate the environmental problems and impacts on the flow of benefits. Hence, circular economic approach as pioneering to renovate the current linear system into circular one through 3R's strategy (reduce, reuse, and recycle) in the process of production, distribution, and consumption of ecosystem goods and services. This research paper explains about the application of circular economic approach in conservation management by assessing economic valuation of Kundapura mangrove's specific services. This approach is expected to finally result in aiding decision‐making process to limit the quantity of polluting residuals and control the degradation activities thereby sustain the mangroves in good health. Further the regeneration and expansion of mangrove extent would improve the mangrove‐dependent fishery, promote sustainable tourism, and maximize the coastal protection and economic benefits in this region. This will go a long way in sustaining the health of the otherwise fragile mangrove ecosystem of Kundapura coastal stretch, which is under the category of Critically Vulnerable Coastal Areas (CCVAs), identified under CRZ of India.

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Section: Resultsmentioning

confidence: 99%

Economic valuation of ecosystem services for application of circular economy approach in conservation of Kundapura mangroves of Karnataka, India

Pandi

Karthi

Dhivya

et al. 2022

Environmental Quality Mgmt

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“…The composite index of the selected coastal taluka was calculated by their weighted averages by combining the individual parameters (Hahn et al 2009). In the present vulnerability analysis, equal weight was used for every selected variable, an approach that is the commonly used in the literature (Pendleton et al 2005;Boruff et al 2005;Hegde and Reju 2007;Dwarakish et al 2008;Dwarakish et al 2009;Ö zyurt and Ergin 2009;McLaughlin and Cooper 2010;Gaki-Papanastassiou et al 2010;Di Paola et al 2011;Sheik Mujabar and Chandrasekar 2011;Clavano 2012;Karymbalis et al 2012;Addo 2013;Joevivek et al 2013;Gorokhovich et al 2014). Equation 2 is calculated for 14 talukas, and the output coastal vulnerability index values were ranked into four classes as very high, high, medium and low risk depending on their total level of vulnerability of the Krishna-Godavari coastal region.…”

Section: Calculation Of Coastal Vulnerability Index (Cvi)mentioning

confidence: 99%

“…They included six variables which are coastal slope, mean tidal range, wave height, geomorphology, sea level rise and shoreline change. Joevivek et al (2013) and Sheik Mujabar and Chandrasekar (2011) used the same physical and geologic variables as proposed by Dwarakish et al (2008Dwarakish et al ( , 2009 to identify the vulnerable zone of southern Tamil Nadu coast to erosion and sea level rise, while Nageswara Rao et al (2009) applied five of six variables omitting the rate of sea level rise to construct the vulnerability and their development in the Andhra Pradesh coast, India. For the application and development of coastal vulnerability in India, many researchers have used different kinds of geological and climatic parameters that are given in Table 1.…”

Section: Introductionmentioning

confidence: 98%

“…Diez et al 2007;Kumar et al 2010;Di Paola et al 2011;Yin et al 2012;Addo 2013), while others described coastal areas with low tidal range are most vulnerable in the coastal region(Pendleton et al 2005;Dwarakish et al 2008;Ozyurt and Ergin 2010;Sheik Mujabar and Chandrasekar 2011;Joevivek et al 2013;Gorokhovich et al 2014). In the present study, predicted tide data(Fig.…”

mentioning

confidence: 93%

“…They have included six physical coastal variables: geomorphology, shoreline change rate, mean tide range, sea level rise, coastal slope and significant wave height. In India, Dwarakish et al (2008Dwarakish et al ( , 2009) constructed a coastal vulnerability index for the Udupi coast in Karnataka, Southwest India. They included six variables which are coastal slope, mean tidal range, wave height, geomorphology, sea level rise and shoreline change.…”

Section: Introductionmentioning

confidence: 99%

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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

Biswas

Mondal

et al. 2015

Environ Dev Sustain

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The Krishna-Godavari coastal region in east coast of India has a 525.15-kmlong 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.

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210Pb dating of recent sediments from the continental shelf of western India: factors influencing sedimentation rates

Shah

Banerji

Chandana

et al. 2020

Environ Monit Assess

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Integrated coastal zone management plan for Udupi coast using remote sensing, geographical information system and global position system

Cited by 17 publications

References 2 publications

Economic valuation of ecosystem services for application of circular economy approach in conservation of Kundapura mangroves of Karnataka, India

Economic valuation of ecosystem services for application of circular economy approach in conservation of Kundapura mangroves of Karnataka, India

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

210Pb dating of recent sediments from the continental shelf of western India: factors influencing sedimentation rates

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