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Indu Shekhar Thakur - One of the best experts on this subject based on the ideXlab platform.

  • emerging role of Geographical Information System gis life cycle assessment lca and spatial lca gis lca in sustainable bioenergy planning
    Bioresource Technology, 2017
    Co-Authors: Moonmoon Hiloidhari, Sampriti Kataki, Kristina Medhi, Shilpi Kumari, Debendra Chandra Baruah, T. V. Ramachandra, B M Jenkins, Anoop Singh, Indu Shekhar Thakur
    Abstract:

    Sustainability of a bioenergy project depends on precise assessment of biomass resource, planning of cost-effective logistics and evaluation of possible environmental implications. In this context, this paper reviews the role and applications of geo-spatial tool such as Geographical Information System (GIS) for precise agro-residue resource assessment, biomass logistic and power plant design. Further, application of Life Cycle Assessment (LCA) in understanding the potential impact of agro-residue bioenergy generation on different ecoSystem services has also been reviewed and limitations associated with LCA variability and uncertainty were discussed. Usefulness of integration of GIS into LCA (i.e. spatial LCA) to overcome the limitations of conventional LCA and to produce a holistic evaluation of the environmental benefits and concerns of bioenergy is also reviewed. Application of GIS, LCA and spatial LCA can help alleviate the challenges faced by ambitious bioenergy projects by addressing both economics and environmental goals. (C) 2017 Elsevier Ltd. All rights reserved.

  • Emerging role of Geographical Information System (GIS), Life Cycle Assessment (LCA) and spatial LCA (GIS-LCA) in sustainable bioenergy planning
    Bioresource Technology, 2017
    Co-Authors: Moonmoon Hiloidhari, Sampriti Kataki, Kristina Medhi, Shilpi Kumari, Debendra Chandra Baruah, T. V. Ramachandra, B M Jenkins, Anoop Singh, Indu Shekhar Thakur
    Abstract:

    Sustainability of a bioenergy project depends on precise assessment of biomass resource, planning of cost-effective logistics and evaluation of possible environmental implications. In this context, this paper reviews the role and applications of geo-spatial tool such as Geographical Information System (GIS) for precise agro-residue resource assessment, biomass logistic and power plant design. Further, application of Life Cycle Assessment (LCA) in understanding the potential impact of agro-residue bioenergy generation on different ecoSystem services has also been reviewed and limitations associated with LCA variability and uncertainty were discussed. Usefulness of integration of GIS into LCA (i.e. spatial LCA) to overcome the limitations of conventional LCA and to produce a holistic evaluation of the environmental benefits and concerns of bioenergy is also reviewed. Application of GIS, LCA and spatial LCA can help alleviate the challenges faced by ambitious bioenergy projects by addressing both economics and environmental goals.

Moonmoon Hiloidhari - One of the best experts on this subject based on the ideXlab platform.

  • emerging role of Geographical Information System gis life cycle assessment lca and spatial lca gis lca in sustainable bioenergy planning
    Bioresource Technology, 2017
    Co-Authors: Moonmoon Hiloidhari, Sampriti Kataki, Kristina Medhi, Shilpi Kumari, Debendra Chandra Baruah, T. V. Ramachandra, B M Jenkins, Anoop Singh, Indu Shekhar Thakur
    Abstract:

    Sustainability of a bioenergy project depends on precise assessment of biomass resource, planning of cost-effective logistics and evaluation of possible environmental implications. In this context, this paper reviews the role and applications of geo-spatial tool such as Geographical Information System (GIS) for precise agro-residue resource assessment, biomass logistic and power plant design. Further, application of Life Cycle Assessment (LCA) in understanding the potential impact of agro-residue bioenergy generation on different ecoSystem services has also been reviewed and limitations associated with LCA variability and uncertainty were discussed. Usefulness of integration of GIS into LCA (i.e. spatial LCA) to overcome the limitations of conventional LCA and to produce a holistic evaluation of the environmental benefits and concerns of bioenergy is also reviewed. Application of GIS, LCA and spatial LCA can help alleviate the challenges faced by ambitious bioenergy projects by addressing both economics and environmental goals. (C) 2017 Elsevier Ltd. All rights reserved.

  • Emerging role of Geographical Information System (GIS), Life Cycle Assessment (LCA) and spatial LCA (GIS-LCA) in sustainable bioenergy planning
    Bioresource Technology, 2017
    Co-Authors: Moonmoon Hiloidhari, Sampriti Kataki, Kristina Medhi, Shilpi Kumari, Debendra Chandra Baruah, T. V. Ramachandra, B M Jenkins, Anoop Singh, Indu Shekhar Thakur
    Abstract:

    Sustainability of a bioenergy project depends on precise assessment of biomass resource, planning of cost-effective logistics and evaluation of possible environmental implications. In this context, this paper reviews the role and applications of geo-spatial tool such as Geographical Information System (GIS) for precise agro-residue resource assessment, biomass logistic and power plant design. Further, application of Life Cycle Assessment (LCA) in understanding the potential impact of agro-residue bioenergy generation on different ecoSystem services has also been reviewed and limitations associated with LCA variability and uncertainty were discussed. Usefulness of integration of GIS into LCA (i.e. spatial LCA) to overcome the limitations of conventional LCA and to produce a holistic evaluation of the environmental benefits and concerns of bioenergy is also reviewed. Application of GIS, LCA and spatial LCA can help alleviate the challenges faced by ambitious bioenergy projects by addressing both economics and environmental goals.

Kobus Herbst - One of the best experts on this subject based on the ideXlab platform.

  • modelling and understanding primary health care accessibility and utilization in rural south africa an exploration using a Geographical Information System
    Social Science & Medicine, 2006
    Co-Authors: Frank Tanser, Brice Gijsbertsen, Kobus Herbst
    Abstract:

    Physical access to health care affects a large array of health outcomes, yet meaningfully estimating physical access remains elusive in many developing country contexts where conventional Geographical techniques are often not appropriate. We interviewed (and Geographically positioned) 23,000 homesteads regarding clinic usage in the Hlabisa health sub-district, KwaZulu-Natal, South Africa. We used a cost analysis within a Geographical Information System to estimate mean travel time (at any given location) to clinic and to derive the clinic catchments. The model takes into account the proportion of people likely to be using public transport (as a function of estimated walking time to clinic), the quality and distribution of the road network and natural barriers, and was calibrated using reported travel times. We used the model to investigate differences in rural, urban and peri-urban usage of clinics by homesteads in the study area and to quantify the effect of physical access to clinic on usage. We were able to predict the reported clinic used with an accuracy of 91%. The median travel time to nearest clinic is 81Â min and 65% of homesteads travel 1Â h or more to attend the nearest clinic. There was a significant logistic decline in usage with increasing travel time (p

  • modelling and understanding primary health care accessibility and utilization in rural south africa an exploration using a Geographical Information System
    Social Science & Medicine, 2006
    Co-Authors: Frank Tanser, Brice Gijsbertsen, Kobus Herbst
    Abstract:

    Physical access to health care affects a large array of health outcomes, yet meaningfully estimating physical access remains elusive in many developing country contexts where conventional Geographical techniques are often not appropriate. We interviewed (and Geographically positioned) 23,000 homesteads regarding clinic usage in the Hlabisa health sub-district, KwaZulu-Natal, South Africa. We used a cost analysis within a Geographical Information System to estimate mean travel time (at any given location) to clinic and to derive the clinic catchments. The model takes into account the proportion of people likely to be using public transport (as a function of estimated walking time to clinic), the quality and distribution of the road network and natural barriers, and was calibrated using reported travel times. We used the model to investigate differences in rural, urban and peri-urban usage of clinics by homesteads in the study area and to quantify the effect of physical access to clinic on usage. We were able to predict the reported clinic used with an accuracy of 91%. The median travel time to nearest clinic is 81 min and 65% of homesteads travel 1 h or more to attend the nearest clinic. There was a significant logistic decline in usage with increasing travel time (p<0.0001). The adjusted odds of a homestead within 30 min of a clinic making use of the clinics were 10 times (adjusted OR=10; 95 CI 6.9–14.4) those of a homestead in the 90–120 min zone. The adjusted odds of usage of the clinics by urban homesteads were approximately 20/30 times smaller than those of their rural/peri-urban counterparts, respectively, after controlling for Systematic differences in travel time to clinic. The estimated median travel time to the district hospital is 170 min. The methodology constitutes a framework for modelling physical access to clinics in many developing country settings.

Frank Tanser - One of the best experts on this subject based on the ideXlab platform.

  • modelling and understanding primary health care accessibility and utilization in rural south africa an exploration using a Geographical Information System
    Social Science & Medicine, 2006
    Co-Authors: Frank Tanser, Brice Gijsbertsen, Kobus Herbst
    Abstract:

    Physical access to health care affects a large array of health outcomes, yet meaningfully estimating physical access remains elusive in many developing country contexts where conventional Geographical techniques are often not appropriate. We interviewed (and Geographically positioned) 23,000 homesteads regarding clinic usage in the Hlabisa health sub-district, KwaZulu-Natal, South Africa. We used a cost analysis within a Geographical Information System to estimate mean travel time (at any given location) to clinic and to derive the clinic catchments. The model takes into account the proportion of people likely to be using public transport (as a function of estimated walking time to clinic), the quality and distribution of the road network and natural barriers, and was calibrated using reported travel times. We used the model to investigate differences in rural, urban and peri-urban usage of clinics by homesteads in the study area and to quantify the effect of physical access to clinic on usage. We were able to predict the reported clinic used with an accuracy of 91%. The median travel time to nearest clinic is 81 min and 65% of homesteads travel 1 h or more to attend the nearest clinic. There was a significant logistic decline in usage with increasing travel time (p<0.0001). The adjusted odds of a homestead within 30 min of a clinic making use of the clinics were 10 times (adjusted OR=10; 95 CI 6.9–14.4) those of a homestead in the 90–120 min zone. The adjusted odds of usage of the clinics by urban homesteads were approximately 20/30 times smaller than those of their rural/peri-urban counterparts, respectively, after controlling for Systematic differences in travel time to clinic. The estimated median travel time to the district hospital is 170 min. The methodology constitutes a framework for modelling physical access to clinics in many developing country settings.

  • modelling and understanding primary health care accessibility and utilization in rural south africa an exploration using a Geographical Information System
    Social Science & Medicine, 2006
    Co-Authors: Frank Tanser, Brice Gijsbertsen, Kobus Herbst
    Abstract:

    Physical access to health care affects a large array of health outcomes, yet meaningfully estimating physical access remains elusive in many developing country contexts where conventional Geographical techniques are often not appropriate. We interviewed (and Geographically positioned) 23,000 homesteads regarding clinic usage in the Hlabisa health sub-district, KwaZulu-Natal, South Africa. We used a cost analysis within a Geographical Information System to estimate mean travel time (at any given location) to clinic and to derive the clinic catchments. The model takes into account the proportion of people likely to be using public transport (as a function of estimated walking time to clinic), the quality and distribution of the road network and natural barriers, and was calibrated using reported travel times. We used the model to investigate differences in rural, urban and peri-urban usage of clinics by homesteads in the study area and to quantify the effect of physical access to clinic on usage. We were able to predict the reported clinic used with an accuracy of 91%. The median travel time to nearest clinic is 81Â min and 65% of homesteads travel 1Â h or more to attend the nearest clinic. There was a significant logistic decline in usage with increasing travel time (p

  • hiv heterogeneity and proximity of homestead to roads in rural south africa an exploration using a Geographical Information System
    Tropical Medicine & International Health, 2000
    Co-Authors: Frank Tanser, David Lesueur, Geoff Solarsh, David Wilkinson
    Abstract:

    OBJECTIVE To describe heterogeneity of HIV prevalence among pregnant women in Hlabisa health district, South Africa and to correlate this with proximity of homestead to roads. METHODS HIV prevalence measured through anonymous surveillance among pregnant women and stratified by local village clinic. Polygons were created around each clinic, assuming women attend the clinic nearest their home. A Geographical Information System (GIS) calculated the mean distance from homesteads in each clinic catchment to nearest primary (1 degrees) and to nearest primary or secondary (2 degrees) road. RESULTS We found marked HIV heterogeneity by clinic catchment (range 19-31% (P < 0.001). A polygon plot demonstrated lower HIV prevalence in catchments remote from 1 degrees roads. Mean distance from homesteads to nearest 1 degrees or 2 degrees road varied by clinic catchment from 1623 to 7569 m. The mean distance from homesteads to a 1 degrees or 2 degrees road for each clinic catchment was strongly correlated with HIV prevalence (r = 0.66; P = 0.002). CONCLUSIONS The substantial HIV heterogeneity in this district is closely correlated with proximity to a 1 degrees or 2 degrees road. GIS is a powerful tool to demonstrate and to start to analyse this observation. Further research is needed to better understand this relationship both at ecological and individual levels, and to develop interventions to reduce the spread of HIV infection.

Sampriti Kataki - One of the best experts on this subject based on the ideXlab platform.

  • emerging role of Geographical Information System gis life cycle assessment lca and spatial lca gis lca in sustainable bioenergy planning
    Bioresource Technology, 2017
    Co-Authors: Moonmoon Hiloidhari, Sampriti Kataki, Kristina Medhi, Shilpi Kumari, Debendra Chandra Baruah, T. V. Ramachandra, B M Jenkins, Anoop Singh, Indu Shekhar Thakur
    Abstract:

    Sustainability of a bioenergy project depends on precise assessment of biomass resource, planning of cost-effective logistics and evaluation of possible environmental implications. In this context, this paper reviews the role and applications of geo-spatial tool such as Geographical Information System (GIS) for precise agro-residue resource assessment, biomass logistic and power plant design. Further, application of Life Cycle Assessment (LCA) in understanding the potential impact of agro-residue bioenergy generation on different ecoSystem services has also been reviewed and limitations associated with LCA variability and uncertainty were discussed. Usefulness of integration of GIS into LCA (i.e. spatial LCA) to overcome the limitations of conventional LCA and to produce a holistic evaluation of the environmental benefits and concerns of bioenergy is also reviewed. Application of GIS, LCA and spatial LCA can help alleviate the challenges faced by ambitious bioenergy projects by addressing both economics and environmental goals. (C) 2017 Elsevier Ltd. All rights reserved.

  • Emerging role of Geographical Information System (GIS), Life Cycle Assessment (LCA) and spatial LCA (GIS-LCA) in sustainable bioenergy planning
    Bioresource Technology, 2017
    Co-Authors: Moonmoon Hiloidhari, Sampriti Kataki, Kristina Medhi, Shilpi Kumari, Debendra Chandra Baruah, T. V. Ramachandra, B M Jenkins, Anoop Singh, Indu Shekhar Thakur
    Abstract:

    Sustainability of a bioenergy project depends on precise assessment of biomass resource, planning of cost-effective logistics and evaluation of possible environmental implications. In this context, this paper reviews the role and applications of geo-spatial tool such as Geographical Information System (GIS) for precise agro-residue resource assessment, biomass logistic and power plant design. Further, application of Life Cycle Assessment (LCA) in understanding the potential impact of agro-residue bioenergy generation on different ecoSystem services has also been reviewed and limitations associated with LCA variability and uncertainty were discussed. Usefulness of integration of GIS into LCA (i.e. spatial LCA) to overcome the limitations of conventional LCA and to produce a holistic evaluation of the environmental benefits and concerns of bioenergy is also reviewed. Application of GIS, LCA and spatial LCA can help alleviate the challenges faced by ambitious bioenergy projects by addressing both economics and environmental goals.