Vulnerability assessment for disaster studies pertaining to natural hazards has evolved as a disc... more Vulnerability assessment for disaster studies pertaining to natural hazards has evolved as a discipline in itself. The multidimensional approach for the design of a vulnerability framework is widely accepted and used, where the prevalently used dimensions are economic, social, physical, environmental. Although the dimensions of vulnerability are distinct, these are commonly aggregated together to compute the overall vulnerability of a place (i.e. composite vulnerability). It is observed this practice leads to loss of information and averaging out of scores obtained from individual dimensions of vulnerability. This study proposes a new framework for assessing multidimensional vulnerability of a region in a multi-objective framework. Individual dimension of vulnerability is computed using a new aggregator function proposed in the study. The proposed methodology has been demonstrated using the case study of a coastal district (South 24 Parganas) in West Bengal, India. It is one of the most impoverished districts of the state and has been exposed to multiple incidences of catastrophic events like tropical cyclones, storm surges and flooding. The vulnerability indices for each dimension of vulnerability were calculated using the proposed aggregator function. Pareto optimality conditions were used to obtain a Pareto frontier from where the Blocks having highest overall vulnerability were selected. This method was repeatedly used to sort the vulnerabilities of all the constituent Blocks of the district in varying levels of vulnerabilities. It was observed that Gosaba, Patharprotima, Kultali, Canning-II, Namkhana and Sagar were the most vulnerable Blocks in the district. This methodology posits that the hierarchy-based clustering system obtained from non-weighted Pareto optimality conditions is better in terms of evaluating the vulnerability of a region. It provides a system of evaluation which is free from decision maker's prejudices and guards it against loss of information-thus eliminating two weaknesses of conventional aggregation methods. It also makes it easier to arrive at specific disaster management policies.
Ground water is the only source of purified drinking water in a certain layer under the earth. Th... more Ground water is the only source of purified drinking water in a certain layer under the earth. The availability of this water is not unlimited; therefore its use should be properly planed based on the understanding of the ground water behavior in order to ensure its sustainable use. Ground water development and management strategy needs analysis of a large volume of multi-disciplinary data from various sources. Integrated use of remote sensing and GIS can provide the appropriate platform for convergence of multi-disciplinary data for identify, artificial recharge purpose ground water potential zone. The present study has been taken for identified the ground water potential zone of Kansai-Tangai interfluves area. Remote sensing and GIS based methodology is developed and tested for the evaluation of the ground water resource. IRS-P6 LISS-IV satellite image, hydrological soil group, resource map and other data sets have been utilized to extract information for make out hydro geomorphic character of the study area. Finally assigning weighted based ground water recharge zone has been divided into four categories namely very good to good, good to moderate, moderate to moderately poor and moderately poor to poor. The very good to good ground water potential zone occupied 18% (20158.89 acres) of the total study area.
Land is limited resource in the Earth and therefore land has become more valuable than ever.
Land... more Land is limited resource in the Earth and therefore land has become more valuable than ever. Land use is changing, deforestation is occurred, settlement and agricultural practices is increased and that demands more land. Increased understanding of human impact on nature and environment underlines importance of sustainable land use and planning. In that perspective the importance of landscape analysis and understanding of interaction of nature factors and human activities become more and more significant. The aim of the project is to provide an assessment and description of the character, distinctiveness and qualities of the landscape of Kansai – Tangai interfluves area of Paschim Midnapur District, identifying their component landscape types and character areas and to identify factors of change that have influenced landscape change in the past, factors currently at play and those, which will influence change in the future. This should include outside factors which impact locally.
Vulnerability assessment for disaster studies pertaining to natural hazards has evolved as a disc... more Vulnerability assessment for disaster studies pertaining to natural hazards has evolved as a discipline in itself. The multidimensional approach for the design of a vulnerability framework is widely accepted and used, where the prevalently used dimensions are economic, social, physical, environmental. Although the dimensions of vulnerability are distinct, these are commonly aggregated together to compute the overall vulnerability of a place (i.e. composite vulnerability). It is observed this practice leads to loss of information and averaging out of scores obtained from individual dimensions of vulnerability. This study proposes a new framework for assessing multidimensional vulnerability of a region in a multi-objective framework. Individual dimension of vulnerability is computed using a new aggregator function proposed in the study. The proposed methodology has been demonstrated using the case study of a coastal district (South 24 Parganas) in West Bengal, India. It is one of the most impoverished districts of the state and has been exposed to multiple incidences of catastrophic events like tropical cyclones, storm surges and flooding. The vulnerability indices for each dimension of vulnerability were calculated using the proposed aggregator function. Pareto optimality conditions were used to obtain a Pareto frontier from where the Blocks having highest overall vulnerability were selected. This method was repeatedly used to sort the vulnerabilities of all the constituent Blocks of the district in varying levels of vulnerabilities. It was observed that Gosaba, Patharprotima, Kultali, Canning-II, Namkhana and Sagar were the most vulnerable Blocks in the district. This methodology posits that the hierarchy-based clustering system obtained from non-weighted Pareto optimality conditions is better in terms of evaluating the vulnerability of a region. It provides a system of evaluation which is free from decision maker's prejudices and guards it against loss of information-thus eliminating two weaknesses of conventional aggregation methods. It also makes it easier to arrive at specific disaster management policies.
Ground water is the only source of purified drinking water in a certain layer under the earth. Th... more Ground water is the only source of purified drinking water in a certain layer under the earth. The availability of this water is not unlimited; therefore its use should be properly planed based on the understanding of the ground water behavior in order to ensure its sustainable use. Ground water development and management strategy needs analysis of a large volume of multi-disciplinary data from various sources. Integrated use of remote sensing and GIS can provide the appropriate platform for convergence of multi-disciplinary data for identify, artificial recharge purpose ground water potential zone. The present study has been taken for identified the ground water potential zone of Kansai-Tangai interfluves area. Remote sensing and GIS based methodology is developed and tested for the evaluation of the ground water resource. IRS-P6 LISS-IV satellite image, hydrological soil group, resource map and other data sets have been utilized to extract information for make out hydro geomorphic character of the study area. Finally assigning weighted based ground water recharge zone has been divided into four categories namely very good to good, good to moderate, moderate to moderately poor and moderately poor to poor. The very good to good ground water potential zone occupied 18% (20158.89 acres) of the total study area.
Land is limited resource in the Earth and therefore land has become more valuable than ever.
Land... more Land is limited resource in the Earth and therefore land has become more valuable than ever. Land use is changing, deforestation is occurred, settlement and agricultural practices is increased and that demands more land. Increased understanding of human impact on nature and environment underlines importance of sustainable land use and planning. In that perspective the importance of landscape analysis and understanding of interaction of nature factors and human activities become more and more significant. The aim of the project is to provide an assessment and description of the character, distinctiveness and qualities of the landscape of Kansai – Tangai interfluves area of Paschim Midnapur District, identifying their component landscape types and character areas and to identify factors of change that have influenced landscape change in the past, factors currently at play and those, which will influence change in the future. This should include outside factors which impact locally.
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Papers by SUBHAS BERA
availability of this water is not unlimited; therefore its use should be properly planed based on the
understanding of the ground water behavior in order to ensure its sustainable use. Ground water
development and management strategy needs analysis of a large volume of multi-disciplinary data
from various sources. Integrated use of remote sensing and GIS can provide the appropriate platform
for convergence of multi-disciplinary data for identify, artificial recharge purpose ground water
potential zone. The present study has been taken for identified the ground water potential zone of
Kansai-Tangai interfluves area. Remote sensing and GIS based methodology is developed and tested
for the evaluation of the ground water resource. IRS-P6 LISS-IV satellite image, hydrological soil
group, resource map and other data sets have been utilized to extract information for make out hydro
geomorphic character of the study area. Finally assigning weighted based ground water recharge
zone has been divided into four categories namely very good to good, good to moderate, moderate to
moderately poor and moderately poor to poor. The very good to good ground water potential zone
occupied 18% (20158.89 acres) of the total study area.
Land use is changing, deforestation is occurred, settlement and agricultural practices is increased and
that demands more land. Increased understanding of human impact on nature and environment
underlines importance of sustainable land use and planning. In that perspective the importance of
landscape analysis and understanding of interaction of nature factors and human activities become
more and more significant. The aim of the project is to provide an assessment and description of the
character, distinctiveness and qualities of the landscape of Kansai – Tangai interfluves area of
Paschim Midnapur District, identifying their component landscape types and character areas and to
identify factors of change that have influenced landscape change in the past, factors currently at play
and those, which will influence change in the future. This should include outside factors which
impact locally.
availability of this water is not unlimited; therefore its use should be properly planed based on the
understanding of the ground water behavior in order to ensure its sustainable use. Ground water
development and management strategy needs analysis of a large volume of multi-disciplinary data
from various sources. Integrated use of remote sensing and GIS can provide the appropriate platform
for convergence of multi-disciplinary data for identify, artificial recharge purpose ground water
potential zone. The present study has been taken for identified the ground water potential zone of
Kansai-Tangai interfluves area. Remote sensing and GIS based methodology is developed and tested
for the evaluation of the ground water resource. IRS-P6 LISS-IV satellite image, hydrological soil
group, resource map and other data sets have been utilized to extract information for make out hydro
geomorphic character of the study area. Finally assigning weighted based ground water recharge
zone has been divided into four categories namely very good to good, good to moderate, moderate to
moderately poor and moderately poor to poor. The very good to good ground water potential zone
occupied 18% (20158.89 acres) of the total study area.
Land use is changing, deforestation is occurred, settlement and agricultural practices is increased and
that demands more land. Increased understanding of human impact on nature and environment
underlines importance of sustainable land use and planning. In that perspective the importance of
landscape analysis and understanding of interaction of nature factors and human activities become
more and more significant. The aim of the project is to provide an assessment and description of the
character, distinctiveness and qualities of the landscape of Kansai – Tangai interfluves area of
Paschim Midnapur District, identifying their component landscape types and character areas and to
identify factors of change that have influenced landscape change in the past, factors currently at play
and those, which will influence change in the future. This should include outside factors which
impact locally.