Ranking criteria for assessment of municipal solid waste dumping sites
Priority wise channelization of resources is the key to successful environmental management, especially when funds are limited. The study in hand has successfully developed an algorithmic criterion to compare hazardous effects of Municipal Solid Waste (MSW) dumping sites quantitatively. It is a Mult...
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Format: | Article |
Language: | English |
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Polish Academy of Sciences
2017-03-01
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Series: | Archives of Environmental Protection |
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Online Access: | http://www.degruyter.com/view/j/aep.2017.43.issue-1/aep-2017-0009/aep-2017-0009.xml?format=INT |
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author | Mahmood Khalid Batool Syeda Adila Chaudhary Muhammad Nawaz Ul-Haq Zia |
author_facet | Mahmood Khalid Batool Syeda Adila Chaudhary Muhammad Nawaz Ul-Haq Zia |
author_sort | Mahmood Khalid |
collection | DOAJ |
description | Priority wise channelization of resources is the key to successful environmental management, especially when funds are limited. The study in hand has successfully developed an algorithmic criterion to compare hazardous effects of Municipal Solid Waste (MSW) dumping sites quantitatively. It is a Multi Criteria Analysis (MCA) that has made use of the scaling function to normalize the data values, Analytical Hierarchy Process (AHP) for assigning weights to input parameters showing their relevant importance, and Weighted Linear Combination (WLC) for aggregating the normalized scores. Input parameters have been divided into three classes namely Resident’s Concerns, Groundwater Vulnerability and Surface Facilities. Remote Sensing data and GIS analysis were used to prepare most of the input data. To elaborate the idea, four dumpsites have been chosen as case study, namely Old-FSD, New-FSD, Saggian and Mahmood Booti. The comparison has been made first at class levels and then class scores have been aggregated into environmental normalized index for environmental impact ranking. The hierarchy of goodness found for the selected sites is New-FSD > Old-FSD > Mahmood Booti > Saggian with comparative scores of goodness to environment as 36.67, 28.43, 21.26 and 13.63 respectively. Flexibility of proposed model to adjust any number of classes and parameters in one class will be very helpful for developing world where availability of data is the biggest hurdle in research based environmental sustainability planning. The model can be run even without purchasing satellite data and GIS software, with little inaccuracy, using imagery and measurement tools provided by Google Earth. |
first_indexed | 2024-03-09T09:28:53Z |
format | Article |
id | doaj.art-464c89ee2f234155a8689a9b152f9663 |
institution | Directory Open Access Journal |
issn | 2083-4810 |
language | English |
last_indexed | 2024-03-09T09:28:53Z |
publishDate | 2017-03-01 |
publisher | Polish Academy of Sciences |
record_format | Article |
series | Archives of Environmental Protection |
spelling | doaj.art-464c89ee2f234155a8689a9b152f96632023-12-02T04:42:27ZengPolish Academy of SciencesArchives of Environmental Protection2083-48102017-03-014319510510.1515/aep-2017-0009aep-2017-0009Ranking criteria for assessment of municipal solid waste dumping sitesMahmood Khalid0Batool Syeda Adila1Chaudhary Muhammad Nawaz2Ul-Haq Zia3Remote Sensing and GIS Group, Department of Space Science, University of the Punjab, Lahore, PakistanRemote Sensing and GIS Group, Department of Space Science, University of the Punjab, Lahore, PakistanCollege of Earth and Environmental Sciences, University of the Punjab, Lahore, PakistanRemote Sensing and GIS Group, Department of Space Science, University of the Punjab, Lahore, PakistanPriority wise channelization of resources is the key to successful environmental management, especially when funds are limited. The study in hand has successfully developed an algorithmic criterion to compare hazardous effects of Municipal Solid Waste (MSW) dumping sites quantitatively. It is a Multi Criteria Analysis (MCA) that has made use of the scaling function to normalize the data values, Analytical Hierarchy Process (AHP) for assigning weights to input parameters showing their relevant importance, and Weighted Linear Combination (WLC) for aggregating the normalized scores. Input parameters have been divided into three classes namely Resident’s Concerns, Groundwater Vulnerability and Surface Facilities. Remote Sensing data and GIS analysis were used to prepare most of the input data. To elaborate the idea, four dumpsites have been chosen as case study, namely Old-FSD, New-FSD, Saggian and Mahmood Booti. The comparison has been made first at class levels and then class scores have been aggregated into environmental normalized index for environmental impact ranking. The hierarchy of goodness found for the selected sites is New-FSD > Old-FSD > Mahmood Booti > Saggian with comparative scores of goodness to environment as 36.67, 28.43, 21.26 and 13.63 respectively. Flexibility of proposed model to adjust any number of classes and parameters in one class will be very helpful for developing world where availability of data is the biggest hurdle in research based environmental sustainability planning. The model can be run even without purchasing satellite data and GIS software, with little inaccuracy, using imagery and measurement tools provided by Google Earth.http://www.degruyter.com/view/j/aep.2017.43.issue-1/aep-2017-0009/aep-2017-0009.xml?format=INTMSW dumping facilityhazard assessmentranking criteriaGeographic Information Systemremote sensing |
spellingShingle | Mahmood Khalid Batool Syeda Adila Chaudhary Muhammad Nawaz Ul-Haq Zia Ranking criteria for assessment of municipal solid waste dumping sites Archives of Environmental Protection MSW dumping facility hazard assessment ranking criteria Geographic Information System remote sensing |
title | Ranking criteria for assessment of municipal solid waste dumping sites |
title_full | Ranking criteria for assessment of municipal solid waste dumping sites |
title_fullStr | Ranking criteria for assessment of municipal solid waste dumping sites |
title_full_unstemmed | Ranking criteria for assessment of municipal solid waste dumping sites |
title_short | Ranking criteria for assessment of municipal solid waste dumping sites |
title_sort | ranking criteria for assessment of municipal solid waste dumping sites |
topic | MSW dumping facility hazard assessment ranking criteria Geographic Information System remote sensing |
url | http://www.degruyter.com/view/j/aep.2017.43.issue-1/aep-2017-0009/aep-2017-0009.xml?format=INT |
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