PMID- 36630033
OWN - NLM
STAT- MEDLINE
DCOM- 20230405
LR  - 20230405
IS  - 1614-7499 (Electronic)
IS  - 0944-1344 (Linking)
VI  - 30
IP  - 14
DP  - 2023 Mar
TI  - Application of multi-criteria decision-making techniques to develop 
      modify-leachate pollution index.
PG  - 41172-41186
LID - 10.1007/s11356-023-25178-3 [doi]
AB  - The modify-leachate pollution index (m-LPI) was developed with the help of 
      multi-criteria decision-making (MCDM) technique based on the landfill leachate 
      pollution potential by considering the limitations of traditional methodologies. 
      Across India, twenty major landfill sites (LS) were selected for which m-LPI was 
      assessed. Twenty-five experts' opinions were taken for the determination of nine 
      input criteria weights, such as pH, COD, TDS, Cl, Zn, Pb, Cu, annual rainfall, 
      and landfill age with the help of a questionnaire-based survey. In this context, 
      six MCDM techniques were investigated to develop m-LPI. Among different MCDM 
      techniques selected, weighted aggregated sum product assessment (WASPAS) proved 
      to be an effective one with an R(2) value of 0.828 and IA value of 0.813. WASPAS 
      gave first and last rank to Kadapa, Andhra Pradesh LS (1.677) and Turbhe, 
      Maharashtra LS (2.193), respectively. The investigation revealed that around 90% 
      of LS considered in the present study require leachate treatment. WASPAS 
      sensitivity analysis showed that the least sensitive criteria were pH, followed 
      by Cl and Zn. The m-LPI can be used by researchers and scientists to investigate 
      and evaluate various challenges involved with solid waste management in LS.
CI  - (c) 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, 
      part of Springer Nature.
FAU - Teja, Dharmasanam Ravi
AU  - Teja DR
AD  - Department of Environmental Science and Engineering, Indian Institute of 
      Technology (Indian School of Mines), Dhanbad, 826004, India.
FAU - Kumar, Padimala Shanmuka Sai
AU  - Kumar PSS
AD  - Civil Engineering Department, National Institute of Technology, Warangal, India.
FAU - Jariwala, Namrata
AU  - Jariwala N
AUID- ORCID: 0000-0002-1702-0046
AD  - Civil Engineering Department, S.V. National Institute of Technology, Surat, 
      India. ndj@ced.svnit.ac.in.
LA  - eng
PT  - Journal Article
DEP - 20230111
PL  - Germany
TA  - Environ Sci Pollut Res Int
JT  - Environmental science and pollution research international
JID - 9441769
RN  - 0 (Solid Waste)
RN  - 0 (Water Pollutants, Chemical)
SB  - IM
MH  - *Refuse Disposal/methods
MH  - India
MH  - Solid Waste/analysis
MH  - *Water Pollutants, Chemical/analysis
MH  - *Waste Management
MH  - Waste Disposal Facilities
OTO - NOTNLM
OT  - Landfill sites
OT  - Leachate pollution index
OT  - MCDM
OT  - Municipal solid waste
OT  - Sensitivity analysis
EDAT- 2023/01/12 06:00
MHDA- 2023/04/05 06:42
CRDT- 2023/01/11 11:20
PHST- 2022/09/29 00:00 [received]
PHST- 2023/01/03 00:00 [accepted]
PHST- 2023/04/05 06:42 [medline]
PHST- 2023/01/12 06:00 [pubmed]
PHST- 2023/01/11 11:20 [entrez]
AID - 10.1007/s11356-023-25178-3 [pii]
AID - 10.1007/s11356-023-25178-3 [doi]
PST - ppublish
SO  - Environ Sci Pollut Res Int. 2023 Mar;30(14):41172-41186. doi: 
      10.1007/s11356-023-25178-3. Epub 2023 Jan 11.