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Identification of incinerator sites for disposal of biomedical waste using remote sensing and geographic information systems: an Indian case study

By: Bandyopadhyay, Arunava.
Contributor(s): Shetty, Kiran Kumar.
Publisher: Pune NICMAR 2023Edition: Vol.38(1), Jan-Mar.Description: 32-42p.Subject(s): Civil EngineeringOnline resources: Click here In: NICMAR Journal of construction managementSummary: Purpose: Pune and its surrounding regions are witnessing a population growth . The primary reasons for this growth are the opening of newer opportunities in various sectors like IT, Education, or Manufacturing. The growth of urban societies has increased the quantity of Bio-Medical Waste (BMW) generated in hospitals. Study design/methodology/approach: The methodology includes procuring remotely sensed data i.e. IRS P6 LISS III of the study area i.e. Pune and surrounding regions and utilizing it for landcover classification. The classified satellite image was used along with GIS tools and techniques to identify incinerator sites. Incinerator sites were identified based on the built-up area, network of roads, wind intensity and direction. Findings: In this paper, two incinerator sites are identified for properly disposing the BMW that is generated from the study area. Originality/value: The present literature does not consider wind intensity and direction as a selection criterion for identification of incinerator sites. It is an important local parameter to be considered in such kind of study. The present study has selected 56 hospitals in Pune and its adjoining areas. Research limitations/implications: The limitation of present study includes misclassification of the water bodies. The accuracy assessment of classified landcover map not performed. The study has considered fifty six hospitals only. The study does not categorize hospitals as large or small. Social Implication: It is highly important to locate a biomedical waste incinerator facility as this has impact on the environment, and also affects the social, and economic aspects. Improperly disposing such waste can severely impact the environment and human health.
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Purpose: Pune and its surrounding regions are witnessing a population growth . The primary reasons for this growth are the opening of newer opportunities in various sectors like IT, Education, or Manufacturing. The growth of urban societies has increased the quantity of Bio-Medical Waste (BMW) generated in hospitals.

Study design/methodology/approach: The methodology includes procuring remotely sensed data i.e. IRS P6 LISS III of the study area i.e. Pune and surrounding regions and utilizing it for landcover classification. The classified satellite image was used along with GIS tools and techniques to identify incinerator sites. Incinerator sites were identified based on the built-up area, network of roads, wind intensity and direction.

Findings: In this paper, two incinerator sites are identified for properly disposing the BMW that is generated from the study area.

Originality/value: The present literature does not consider wind intensity and direction as a selection criterion for identification of incinerator sites. It is an important local parameter to be considered in such kind of study. The present study has selected 56 hospitals in Pune and its adjoining areas.

Research limitations/implications: The limitation of present study includes misclassification of the water bodies. The accuracy assessment of classified landcover map not performed. The study has considered fifty six hospitals only. The study does not categorize hospitals as large or small.

Social Implication: It is highly important to locate a biomedical waste incinerator facility as this has impact on the environment, and also affects the social, and economic aspects. Improperly disposing such waste can severely impact the environment and human health.

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