PMID- 36964894
OWN - NLM
STAT- MEDLINE
DCOM- 20230328
LR  - 20231130
IS  - 1573-2959 (Electronic)
IS  - 0167-6369 (Linking)
VI  - 195
IP  - 4
DP  - 2023 Mar 25
TI  - Integration of LCSA and GIS-based MCDM for sustainable landfill site selection: a 
      case study.
PG  - 510
LID - 10.1007/s10661-023-11112-0 [doi]
AB  - The paper aims at developing a framework for decision-support to select a 
      sustainable landfill site in Bardaskan City (Iran) by combining life cycle 
      sustainability assessment (LCSA) concepts and geographic information system 
      (GIS)-based multi-criteria decision-making (MCDM). Overall, 13 criteria were 
      chosen (three constraints and 10 factors) and classified into three main aspects 
      of sustainability (i.e., environmental, social, and economic) to achieve the 
      research goals. Boolean and fuzzy logic were employed to standardize the 
      classified constraints and factors, respectively. Analytic hierarchy process 
      (AHP) was used to calculate the factors' weights and then suitability maps were 
      produced using the GIS analysis. The layers were combined using simple additive 
      weighting (SAW). Next, the most sustainable sites were obtained. The results 
      indicated that distance from city backline, groundwater depth, and distance from 
      rural areas were the most significant factors with the weight of 0.338, 0.141, 
      and 0.129, respectively. The final map of suitable sites was created by 
      classifying the SAW layer according to 75, 80, and 85% of suitability to show the 
      high, medium, and low priority areas for landfill site selection, respectively. 
      Therefore, integration of LCSA and GIS-based MCDM to select the sustainable 
      landfill site for municipal solid waste (MSW) is highly important, which can be 
      effectively employed in regional and urban planning to select the location of 
      appropriate and sustainable landfills.
CI  - (c) 2023. The Author(s), under exclusive licence to Springer Nature Switzerland AG.
FAU - Mozaffari, Mehdi
AU  - Mozaffari M
AD  - Department of Environmental Science and Engineering, Faculty of Agriculture & 
      Natural Resources, Ardakan University, Ardakan, Iran.
FAU - Bemani, Akram
AU  - Bemani A
AUID- ORCID: 0000-0002-8999-4077
AD  - Department of Environmental Science and Engineering, Faculty of Agriculture & 
      Natural Resources, Ardakan University, Ardakan, Iran. a.bemani@ardakan.ac.ir.
FAU - Erfani, Malihe
AU  - Erfani M
AD  - Department of Environmental Sciences, Faculty of Natural Resources, University of 
      Zabol, Zabol, Iran.
FAU - Yarami, Najmeh
AU  - Yarami N
AD  - Department of Water Sciences and Engineering, College of Agriculture and Natural 
      Resources, Ardakan University, Ardakan, Iran.
FAU - Siyahati, Gholamreza
AU  - Siyahati G
AD  - Department of Environmental Science and Engineering, Faculty of Agriculture & 
      Natural Resources, Ardakan University, Ardakan, Iran.
LA  - eng
PT  - Journal Article
DEP - 20230325
PL  - Netherlands
TA  - Environ Monit Assess
JT  - Environmental monitoring and assessment
JID - 8508350
RN  - 0 (Solid Waste)
SB  - IM
CIN - Environ Monit Assess. 2023 Sep 20;195(10):1234. PMID: 37728856
MH  - *Refuse Disposal/methods
MH  - Geographic Information Systems
MH  - Decision Support Techniques
MH  - Environmental Monitoring/methods
MH  - Solid Waste
MH  - Waste Disposal Facilities
OTO - NOTNLM
OT  - Geographic information system (GIS)
OT  - Landfill
OT  - Life cycle sustainability assessment (LCSA)
OT  - Multi-criteria decision-making (MCDM)
OT  - Sustainable development
OT  - Waste management
EDAT- 2023/03/26 06:00
MHDA- 2023/03/28 17:16
CRDT- 2023/03/25 12:20
PHST- 2022/04/09 00:00 [received]
PHST- 2023/03/09 00:00 [accepted]
PHST- 2023/03/28 17:16 [medline]
PHST- 2023/03/25 12:20 [entrez]
PHST- 2023/03/26 06:00 [pubmed]
AID - 10.1007/s10661-023-11112-0 [pii]
AID - 10.1007/s10661-023-11112-0 [doi]
PST - epublish
SO  - Environ Monit Assess. 2023 Mar 25;195(4):510. doi: 10.1007/s10661-023-11112-0.