TY - JOUR
T1 - A new integrated approach for municipal landfill siting based on urban physical growth prediction
T2 - A case study mashhad metropolis in iran
AU - Qureshi, Salman
AU - Shorabeh, Saman Nadizadeh
AU - Samany, Najmeh Neysani
AU - Minaei, Foad
AU - Homaee, Mehdi
AU - Nickravesh, Fatemeh
AU - Firozjaei, Mohammad Karimi
AU - Arsanjani, Jamal Jokar
N1 - Funding Information:
This study was supported by the Agrohydrology Research Group of Tarbiat Modares University (Grant No. IG-39713).
Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/3/1
Y1 - 2021/3/1
N2 - Due to irregular and uncontrolled expansion of cities in developing countries, currently operational landfill sites cannot be used in the long-term, as people will be living in proximity to these sites and be exposed to unhygienic circumstances. Hence, this study aims at proposing an integrated approach for determining suitable locations for landfills while considering their physical expansion. The proposed approach utilizes the fuzzy analytical hierarchy process (FAHP) to weigh the sets of identified landfill location criteria. Furthermore, the weighted linear combination (WLC) approach was applied for the elicitation of the proper primary locations. Finally, the support vector machine (SVM) and cellular automation-based Markov chain method were used to predict urban growth. To demonstrate the applicability of the developed approach, it was applied to a case study, namely the city of Mashhad in Iran, where suitable sites for landfills were identified considering the urban growth in different geographical directions for this city by 2048. The proposed approach could be of use for policymakers, urban planners, and other decision-makers to minimize uncertainty arising from long-term resource allocation.
AB - Due to irregular and uncontrolled expansion of cities in developing countries, currently operational landfill sites cannot be used in the long-term, as people will be living in proximity to these sites and be exposed to unhygienic circumstances. Hence, this study aims at proposing an integrated approach for determining suitable locations for landfills while considering their physical expansion. The proposed approach utilizes the fuzzy analytical hierarchy process (FAHP) to weigh the sets of identified landfill location criteria. Furthermore, the weighted linear combination (WLC) approach was applied for the elicitation of the proper primary locations. Finally, the support vector machine (SVM) and cellular automation-based Markov chain method were used to predict urban growth. To demonstrate the applicability of the developed approach, it was applied to a case study, namely the city of Mashhad in Iran, where suitable sites for landfills were identified considering the urban growth in different geographical directions for this city by 2048. The proposed approach could be of use for policymakers, urban planners, and other decision-makers to minimize uncertainty arising from long-term resource allocation.
KW - Ecological degradation
KW - Landfill
KW - Remote sensing
KW - Urban growth
KW - Urban planning
KW - Waste management
UR - http://www.scopus.com/inward/record.url?scp=85102660978&partnerID=8YFLogxK
U2 - 10.3390/rs13050949
DO - 10.3390/rs13050949
M3 - Journal article
AN - SCOPUS:85102660978
SN - 2072-4292
VL - 13
JO - Remote Sensing
JF - Remote Sensing
IS - 5
M1 - 949
ER -