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Ranking criteria for assessment of municipal solid waste dumping sites

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
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.
Rocznik
Strony
95--105
Opis fizyczny
Bibliogr. 42 poz., rys., tab., wykr.
Twórcy
autor
  • Remote Sensing and GIS Group, Department of Space Science University of the Punjab, Lahore, Pakistan
autor
  • Remote Sensing and GIS Group, Department of Space Science University of the Punjab, Lahore, Pakistan
  • College of Earth and Environmental Sciences University of the Punjab, Lahore, Pakistan
autor
  • Remote Sensing and GIS Group, Department of Space Science University of the Punjab, Lahore, Pakistan
Bibliografia
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  • [2]. Akhtar, M.M. & Tang, Z. (2014). Municipal solid waste and its relation with groundwater contamination in Lahore, Pakistan, Research Journal of Applied Sciences, Engineering and Technology, 7(8), pp. 1551–1560.
  • [3]. Alam, K., Trautmann, T., Blaschke, T. & Majid, H. (2012). Aerosol optical and radiative properties during summer and winter seasons over Lahore and Karachi, Atmospheric Environment, 50, pp. 234–245.
  • [4]. Ali, S.M., Pervaiz, A., Afzal, B. & Hamid, N. (2014). Open dumping of municipal solid waste and its hazardous impacts on soil and vegetation diversity at waste dumping sites of Islamabad city, Journal of King Saud University – Science, 26, pp. 59–65.
  • [5]. Al-jarrah, O. & Abu-Qdais, H. (2006). Municipal solid waste landfill siting using intelligent system, Waste Management, 26, pp. 229–206.
  • [6]. Babalola, A. & Basu, I. (2011). Selection of landfill sites for solid waste treatment in Damaturu Town-Using GIS techniques, Journal of Environmental Protection, 2, pp. 1–10.
  • [7]. Biswas, A.K., Kumar, S., Babu, S., Bhattaacharyya, J.K. & Chakrabarti, T. (2010). Studies of environmental quality in and around municipal solid waste dumpsite, Resources, Conservation and Recycling, 55(2), pp. 129–134.
  • [8]. Butt, I. & Ghaffar, A. (2012). Ground water quality assessment near Mehmood Boti landfill, Lahore, Pakistan, Asian Journal of Social Sciences & Humanities, 1(2), pp. 13–24.
  • [9]. Butt, T.E., Lockley, E. & Oduyemi, K.O.K. (2008). Risk assessment of landfill disposal sites – State of the art, Waste Management, 28, pp. 952–964.
  • [10]. Demitriou, E., Karaozas, I., Saratakos, K., Zacharias, I., Bogdanos, K. & Diapoulis, A. (2008). Groundwater risk assessment at a heavily industrialized catchment and the associated impacts on a peri-urban wetland, Journal of Environmental Management, 988, pp. 526–538.
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  • [12]. Eiselt, H.A. & Marianov, V. (2015). Location modeling for municipal solid waste facilities, Computer & Operation Research, 62, pp. 305–315.
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  • [14]. Gbani, S.P., Tengbe, P.B., Momoh, J.S., Medo, J. & Kabba, V.T.S. (2013). Modeling landfill location using Geographic Information Systems (GIS) and Multi-Criteria Decision Analysis (MCDA): Acase study Bo, Southern Sierra Leone, Applied Geography, 36, pp. 3–12.
  • [15]. Gorsevski, P.V., Donevska, K.R., Mitrovski, C.D. & Frizado, J.P. (2012). Integrating multi-criteria evaluation techniques with geographic information systems for landfill site selection: A case study using ordered weighted average, Waste Management, 32, pp. 287–296.
  • [16]. Hailin, Y., Ligang, X., Chang, Y. & Jiaxing, X. (2011). Evaluation of groundwater vulnerability with improved DRASTIC Method, Procedia Environmental Sciences, 10, pp. 2690–2695.
  • [17]. Hazra, T. & Goel, S. (2009). Solid waste management in Kolkata, India: practices and challenges, Waste Management, 29, pp. 470–478.
  • [18]. Jiang, H. & Eastman, R.J. (2000). Application of fuzzy measures in multi-criteria evaluation in GIS, International Journal of Geographical Information Systems, 14, pp. 173–184.
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  • [20]. Li, Y., Li, J., Chen, S. & Diao, W. (2012). Establishing indices for groundwater contamination risk assessment in the vicinity of hazardous waste landfills in China, Environmental Pollution, 165, pp. 77–90.
  • [21]. Liu, H.C., You, J.X., Fan, X.J. & Chen, Y.Z. (2014). Site selection in waste management by VIKOR method using linguistic assessment, Applied Soft Computing, 21, pp. 453–461.
  • [22]. López, J.A.R., Hernández, J.R., Mancilla, O.L., Diazconti, C.C. & Garrido, M.L. (2008). Assessment of groundwater contamination by landfill leachate: A case in México, Waste Management, 28, pp. 33–39.
  • [23]. Mahini, S.A. & Gholamafard, M. (2006). Siting MSW landfills with a weighted linear combination methodology in a GIS Environment, International Journal of Environmental Science Technology, 3(4), pp. 435–445.
  • [24]. Mahmood, K., Batool, S.A., Chaudhary, M.N. & Daud, A. (2015a). Evaluating muncipal solid waste dumps using Geographic Information System, Polish Journal of Environmental Studies, 24 (2), pp. 879–886.
  • [25]. Mahmood, K., Batool, S.A., Rana, A.D., Tariq, S., Ali, Z. & Chaudhry, M.N. (2013b). Assessment of leachate effects to the drinking water supply units in the down slope regions of municipal solid waste (MSW) dumping sites in Lahore Pakistan, International Journal of Physical Sciences, 8(28), pp. 1470–1480.
  • [26]. Mahmood, K., Daud, A., Tariq, S., Kanwal, S., Ali, R., Haider, A. & Tahseen, T. (2013a). Groundwater levels susceptibility to degradation in Lahore metropolitan, Science International (Lahore), 25(1), pp. 123–126.
  • [27]. Mahmood, K., Khan, R.M., Ashfaq, M., Ahsan, H., Shakoor, Z. & Tanveer, M. (2015b). Assessment of the intrinsic vulnerability to groundwater contamination in Lahore, Pakistan, Pakistan Journal of Scientific and Industrial Research, 58(1), pp. 8–16.
  • [28]. Majandang, J. & Sarapirome, S. (2013). Groundwater vulnerability assessment and sensitivity analysis in NongRua, KhonKaen, Thailand using a GIS-based SINTACS Model, Environmental Earth Sciences, 68, pp. 2025–2039.
  • [29]. Marzougui, A. & Mammou, A.B. (2006). Impacts of dumping site on the environment: case of the Henchir El Yahoudia Site, Tunis, Tunsia, Comptes Rendus Geoscience, 338, pp. 1176–1183.
  • [30]. Pasternack, A. (2013). The most watched load of garbage in the memory of man, (http://motherboard.vice.com/blog/the-mobro-4000(03.06.2015).
  • [31]. Rahman, A. (2008). A GIS based DRASTIC model for assessing groundwater vulnerability in shallow aquifer in Aligarh, India, Applied Geography, 28, pp. 32–53.
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  • [33]. Saidi, S., Bouri, S., Dhia, B. & Anselme, B. (2011). Assessment of groundwater risk using intrinsic vulnerability mapping: application to Souassi Aquifer, Tunisian Sahel, Agricultural Water Management, 98, pp. 1671–1682.
  • [34]. Santos, F.A.M., Mateus, A., Figueiras, J. & Gonçalves, M.A. (2006). Mapping groundwater contamination around a landfill facility using the VLF-EM method – A case study, Journal of Applied Geophysics, 60, pp. 115–125.
  • [35]. Şener, S., Şener, E., Nas, B. & Karagüzel, R. (2010). Combining AHP with GIS for landfill site selection: A case study in the Lake Beysehir catchment area (Konya, Turkey), Waste Management, 30, pp. 2037–2046.
  • [36]. Singh, R.K., Datta, M. & Nema, A.K. (2009). A new system for groundwater contamination hazard rating of landfills, Journal of Environmental Management, 91, pp. 344–357.
  • [37]. Sumathi, V.R., Natesan, U. & Sarkar, C. (2008). GIS-based approach for optimizing siting of municipal solid waste landfill, Waste Management, 28 (11), pp. 2146–2160.
  • [38]. Wang, J., He, J. & Chen, H. (2012). Assessment of groundwater contamination risk using hazard quantification, a modified DRASTIC model and groundwater value, Beijing Plain, China, Science of the Total Environment, 432, pp. 216–226.
  • [39]. Zadeh, L.A. (1965). Fuzzy sets, Information and Control, 8, pp. 338–353.
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  • [41]. Zeinhom, E.A., Elhadary, R. & Elashry, A. (2010). Integrating GIS and MCDM to deal with landfill site selection, International Journal of Engineering & Technology, 10, pp. 32–42.
  • [42]. Zhang, H., Zhang, D.Q., Jin, T.F., He, P.J., Shao, Z.H. & Shao, L.M. (2011). Environmental and economic assessment of combined biostabilization and landfill for municipal solid waste, Journal of Environmental Management, 92, pp. 2533–2538.
Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-03f3cd35-aa31-4e3d-9794-71729c2c5b68
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