Assessment and management of coastal multi-hazard vulnerability along the Cuddalore–Villupuram, east coast of India using geospatial techniques

Mahendra, R. S.; Mohanty, P. C.; Bisoyi, H; Kumar, T. Srinivasa; Nayak, Shailesh

doi:10.1016/j.ocecoaman.2010.12.008

Cited by 144 publications

(59 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Most vulnerability methodologies make use of a combination of theory-driven, data-driven, and normative approaches. Theory-driven approaches, also known as deductive approaches, are based on existing scientific knowledge in the form of conceptual frameworks, theories or models about the system considered to identify relevant variables, and determine their relationships, and generate a list of components (Moss et al, 2001, Schröter, 2004a, Adger & Vincent, 2005, Yohe et al, 2006b, Mahendra et al, 2011. Data-driven approaches, or inductive approaches, select vulnerability variables based on their statistical relationship with observed vulnerability outcomes (e.g., mortality due to natural hazards) (Briguglio, 1995, Peduzzi et al, 2002, Brooks et al, 2005, Dilley et al, 2005, Eriksen & Kelly, 2007, Tol & Yohe, 2007.…”

Section: Different Approaches To Vulnerability Indexationmentioning

confidence: 99%

Indicator-based assessment of climate-change impacts on coasts: A review of concepts, methodological approaches and vulnerability indices

Nguyen

Bonetti

Rogers

et al. 2016

Ocean & Coastal Management

242

104

View full text Add to dashboard Cite

2016). Indicator-based assessment of climate-change impacts on coasts: a review of concepts, methodological approaches and vulnerability indices. Ocean and Coastal Management, Indicator-based assessment of climate-change impacts on coasts: a review of concepts, methodological approaches and vulnerability indices AbstractIncreasing human pressures on coastlines and associated threats posed by sea-level rise have stimulated development of a range of different concepts and methodological approaches to assess coastal vulnerability. The first section of this paper summarizes the concepts associated with vulnerability, natural hazards and climate change. The most widely adopted analytical approaches to vulnerability assessment are described, including spatial scales, the need for hybrid approaches comprising both biophysical and social dimensions of vulnerability, and the gradual incorporation of resilience aspects into such methodologies. In particular, the development and application of vulnerability indices is examined, based on a review of more than 50 studies that applied such indices across a range of hazards. The analytical procedures, proposed typologies, and most commonly selected variables are discussed. This overview demonstrates the breadth of vulnerability studies. This leads inevitably to lack of standardization of concepts and assumptions, which results in limited comparability between outputs for coasts from different areas. However, the widespread demand for vulnerability assessment as a component of decision-making in integrated management of the coast justifies pursuing indicator-based vulnerability assessments. In some cases these will explicitly adopt a consistent methodology that enables comparison between sites, whereas alternatively, metrics may be developed that are designed around particular system components and the site-specific functions for which they are valued. AbstractIncreasing human pressures on coastlines and associated threats posed by sea-level rise have stimulated development of a range of different concepts and methodological approaches to assess coastal vulnerability. The first section of this paper summarizes the concepts associated with vulnerability, natural hazards and climate change. The most widely adopted analytical approaches to vulnerability assessment are described, including spatial scales, the need for hybrid approaches comprising both biophysical and social dimensions of vulnerability, and the gradual incorporation of resilience aspects into such methodologies. In particular, the development and application of vulnerability indices is examined, based on a review of more than 50 studies that applied such indices across a range of hazards. The analytical procedures, proposed typologies, and most commonly selected variables are discussed. This overview demonstrates the breadth of vulnerability studies. This leads inevitably to lack of standardization of concepts and assumptions, which results in limited comparability between outputs for coasts from different areas. H...

show abstract

Section: Different Approaches To Vulnerability Indexationmentioning

confidence: 99%

Indicator-based assessment of climate-change impacts on coasts: A review of concepts, methodological approaches and vulnerability indices

Nguyen

Bonetti

Rogers

et al. 2016

Ocean & Coastal Management

242

104

View full text Add to dashboard Cite

show abstract

“…A preliminary review of coastal hazard assessment methods was carried out (De Pippo et al, 2008;Mahendra, Mohanty, Bisoyi, Srinivasa Kumar, & Nayak, 2011;Nunes et al, 2009;Pendleton, Thieler, & Jeffress, 2005). Given the intended audience of this study, hazard levels were assessed using the methodology of the Regional Coastal Plan (Regione Puglia, 2007), with improvements made in order to reflect the characteristics of the study area.…”

Section: Methodsmentioning

confidence: 99%

Erosion hazard assessment along the Capitolo coast (Monopoli, southern Italy)

2013

View full text Add to dashboard Cite

Erosion affects about 25% of the coast of the Apulia region, with the severest consequences being along sandy coastlines. Beach retreat is mainly due to the decrease of solid material transport, the destruction of dune deposits and the building of docks that obstruct the longshore current. A survey was conducted around Capitolo, the main sandy coastline near Bari, to examine the hazards affecting beaches and to provide guidelines for the management of human activities along the coasts. The survey was carried out along a coastal stretch of about 3 km, extending in a South Easterly direction from 178 21 ′ 30 ′′ E, 408 54 ′ 20 ′′ N to 178 23 ′ E, 408 53 ′ 40 ′′ N. The map, at a scale of 1:3000, shows three levels of hazard, determined as follows: (i) the state of preservation of the dunes and watercourses, based on the geomorphological map of the Apulia region; (ii) data collected from July 1989 to April 2008 by the Monopoli buoy of the National Wave Measuring Network; (iii) the shoreline change rates computed within a geographic information system (GIS). A matrix was established taking into account of these features, weighting each parameter in order to develop a hazard-level measurement for shoreline lengths of about 25 meters. The results show that all Capitolo beaches have a high level of shore preservation hazard. The results of this study should be a factor in any decisions made on the management of the present day village, both existing commercial activities and the future development of the area.

show abstract

“…Rather than using the entire, huge amount data, it is more effective to conduct analysis by selecting data that conform to the purpose of the study, and IT is essential in dealing with environmental data that are increasing in such a way [33]. In addition, effective analysis of natural/environmental Big Data related to sea level rise, coastal erosion, floods, etc., is also very useful in disaster prevention [2,34,35]. Not only is IT effectively used in the analysis of such environmental data, but it is also closely associated with Geographic Information Systems, which are used for the comprehensive analysis of each region's land use, geological constraints, generation quantities, access roads, existing electrical grids, etc., which are used for selecting the optimum location of renewable energy generation facilities [36].…”

Section: Classification Of Big Data For the Effective Utilization Of mentioning

confidence: 99%

Sustainable Development Plan for Korea through Expansion of Green IT: Policy Issues for the Effective Utilization of Big Data

Baek¹,

Park

2015

Sustainability

View full text Add to dashboard Cite

Abstract:The South Korean government is providing full support for green IT as one of the growth engines of Korea. The purpose of this study is to derive policy issues needed for the sustainable development of Korea through utilizing Big Data by applying green IT. The analysis is done using a Delphi technique. Results show that the establishment of computing platforms that can easily share data and generate value is prioritized for the effective use of Big Data from the environment. In addition, the government-led publication of genetic information and electronic medical records for research purposes has been derived as an important policy issue for the use of bio-Big Data. Besides, a guideline concerning the standardization of machine to machine and Internet of Things communication and data security is needed to effectively use Big Data from machines/things. Moreover, a review of legislation related to the utilization of Big Data from digital media has been derived as an important policy issue. The results of this study propose the direction in which the Korean government should move for green growth through effective utilization of Big Data. The results can be also useful resources for establishing relevant policies for various countries that are accelerating sustainable development.

show abstract

Assessment and management of coastal multi-hazard vulnerability along the Cuddalore–Villupuram, east coast of India using geospatial techniques

Cited by 144 publications

References 18 publications

Indicator-based assessment of climate-change impacts on coasts: A review of concepts, methodological approaches and vulnerability indices

Indicator-based assessment of climate-change impacts on coasts: A review of concepts, methodological approaches and vulnerability indices

Erosion hazard assessment along the Capitolo coast (Monopoli, southern Italy)

Sustainable Development Plan for Korea through Expansion of Green IT: Policy Issues for the Effective Utilization of Big Data

Contact Info

Product

Resources

About