TITLE

Methodology for identifying vulnerability hotspots to tropical cyclone hazard in India\

AUTHOR(S)
Sharma, Upasna; Patwardhan, Anand
PUB. DATE
August 2008
SOURCE
Mitigation & Adaptation Strategies for Global Change;Aug2008, Vol. 13 Issue 7, p703
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Vulnerability indices are commonly used for characterizing the impacts on a region or comparing relative vulnerability across regions. Such indices are usually computed as a composite/aggregate across different components of vulnerability. Though such a single numerical value can be useful in many situations, a major disadvantage is that it leads to loss of information about how the different factors that went into making the composite index interact with each other, and contribute to making a place vulnerable. In this paper we develop an alternative approach for identifying hotspots, based on cluster analysis that seeks to address this problem by considering the different components of vulnerability separately. We compute different indices for each of the components of vulnerability. Cluster analysis helps in identifying the most vulnerable districts based on different combinations of the components of vulnerability. In addition to being methodologically more robust than the index approach, the clustering approach may have greater policy-relevance as it provides information about which aspects of vulnerability, policy needs to address in the most vulnerable districts.
ACCESSION #
34415662

 

Related Articles

  • K-Means for Spherical Clusters with Large Variance in Sizes. Fahim, A. M.; Saake, G.; Salem, A. M.; Torkey, F. A.; Ramadan, M. A. // Proceedings of World Academy of Science: Engineering & Technolog;Nov2008, Vol. 47, p177 

    Data clustering is an important data exploration technique with many applications in data mining. The k-means algorithm is well known for its efficiency in clustering large data sets. However, this algorithm is suitable for spherical shaped clusters of similar sizes and densities. The quality of...

  • A connected graph identity and convergence of cluster expansions. Faris, William G. // Journal of Mathematical Physics;Nov2008, Vol. 49 Issue 11, p113302 

    Recently Fernández and Procacci found an estimate on the radius of convergence of the cluster expansion for a gas of particles on a discrete space. Their estimate is an improvement on previous results of Kotecký and Preiss and of Dobrushin. This note presents a connected graph identity and...

  • Structure and diversity of shallow soft-bottom benthic macrofauna in the Gulf of Lions (NW Mediterranean). Antoine Grémare; Rafael Sardá; João Gil; Sergi Taboada // Helgoland Marine Research;Sep2008, Vol. 62 Issue 3, p201 

    Abstract  Samples of soft-sediment macrobenthos from 92 sites between 10 and 50 m depth were used to assess (1) the main soft-bottom macrofauna communities in the Gulf of Lions, (2) the different components of the diversity of benthic macrofauna in this area, and (3) the relevance of...

  • A Genetic K-means Clustering Algorithm Based on the Optimized Initial Centers. Min Feng; Zhenyan Wang // Computer & Information Science;2011, Vol. 4 Issue 3, p88 

    An optimized initial center of K-means algorithm(PKM) is proposed, which select the k furthest distance data in the high-density area as the initial cluster centers. Experiments show that the algorithm not only has a weak dependence on the initial data, but also has fast convergence and high...

  • Cluster analysis in the fitness evaluation of cosmonauts during long-term missions on board the International Space Station. Egorov, A.; Stepantsov, V.; Nosovskii, A.; Shipov, A. // Human Physiology;Dec2011, Vol. 37 Issue 7, p922 

    Cluster analysis of the following parameters was performed in 13 cosmonauts: the duration (min), amount (m), and speed (km/h) of physical locomotor exercise (PLE) including running, and total locomotion (running + walking). These activities were the part of the program of long-term missions on...

  • Morrey Spaces for Non–doubling Measures. Sawano, Yoshihiro; Tanaka, Hitoshi // Acta Mathematica Sinica;Dec2005, Vol. 21 Issue 6, p1535 

    The authors give a natural definition of Morrey spaces for Radon measures which may be non–doubling but satisfy certain growth condition, and investigate the boundedness in these spaces of some classical operators in harmonic analysis and their vector–valued extension.

  • Developing a climate model for Iran using GIS. Alijani, B.; Ghohroudi, M.; Arabi, N. // Theoretical & Applied Climatology;2008, Vol. 92 Issue 1/2, p103 

    In order to develop a climate model for Iran, monthly mean climatic variables from 117 synoptic stations were obtained from the Iranian Meteorological Organisation. These variables were reduced to six orthogonal factors using factor analysis. The stations were then divided into six groups using...

  • Mapping alpine vegetation using vegetation observations and topographic attributes. Karin Pfeffer; Edzer J. Pebesma; Peter A. Burrough // Landscape Ecology;Nov2003, Vol. 18 Issue 8, p759 

    Abstract Local planning in mountain areas requires spatial information on site factors such as vegetation that is commonly lacking in rugged terrain. This study demonstrates a procedure for the efficient acquisition of a vegetation map using topographic attributes and nominal vegetation data...

  • Moment inequality and complete convergence of moving average processes under asymptotically linear negative quadrant dependence assumptions. Cai, Guang-hui; Wu, Hang // Stochastic Environmental Research & Risk Assessment;Jan2006, Vol. 20 Issue 1/2, p1 

    Let { Y, Y i , −∞ < i < ∞} be a doubly infinite sequence of identically distributed and asymptotically linear negative quadrant dependence random variables, { a i , −∞ < i < ∞} an absolutely summable sequence of real numbers. We are inspired by Wang et al....

Share

Read the Article

Courtesy of THE LIBRARY OF VIRGINIA

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics