PMID- 32725384
OWN - NLM
STAT- MEDLINE
DCOM- 20210129
LR  - 20210129
IS  - 1432-1009 (Electronic)
IS  - 0364-152X (Linking)
VI  - 66
IP  - 4
DP  - 2020 Oct
TI  - Optimal Selection of Sewage Treatment Technologies in Town Areas: A Coupled 
      Multi-Criteria Decision-Making Model.
PG  - 709-721
LID - 10.1007/s00267-020-01338-w [doi]
AB  - In recent years, the development of sewage treatment technologies has made many 
      treatment options available in towns. Selecting the most appropriate alternative 
      (MAA) can make the best use of existing resources to achieve the optimal effect, 
      which has become a topical issue in academic circles. The Liao River basin in 
      China is an important area for agricultural cultivation and animal husbandry, but 
      it also suffers from water shortages and pollution. In this study, the fuzzy set 
      theory (FST), the Analytic Hierarchy Process (AHP), and the Technique for Order 
      Preference by Similarity to an Ideal Solution (TOPSIS) were combined as a 
      scientific and effective multi-criteria decision-making (MCDM) model to optimize 
      the sewage treatment technologies in town areas of the Liao River basin. It was 
      found that compared with natural treatment technologies (such as constructed 
      wetlands, stabilization ponds, etc.) and combination technologies (i.e., a 
      combination of various technologies), single small-scale sewage treatment plant 
      technologies (such as activated sludge process or sequencing batch reactor with 
      small daily capacity) were more suitable for those areas. The indicator of 
      construction costs was critical in this model, and the fluctuation of its weight 
      might change the MAA. This study aims to provide a decision support framework for 
      the future optimization of sewage treatment technologies in towns by combining 
      economic, environmental, and social issues, rather than just focusing on the 
      technical aspects.
FAU - Liu, Ben
AU  - Liu B
AD  - College of New Energy and Environment, Jilin University, Changchun, 130012, 
      China.
FAU - Tang, Jie
AU  - Tang J
AD  - College of New Energy and Environment, Jilin University, Changchun, 130012, 
      China.
AD  - Key Laboratory of Groundwater Resources and Environment, Ministry of Education, 
      Jilin University, Changchun, 130021, China.
AD  - Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin 
      University, Changchun, 130021, China.
FAU - Li, Zhaoyang
AU  - Li Z
AUID- ORCID: 0000-0003-2356-7141
AD  - College of New Energy and Environment, Jilin University, Changchun, 130012, 
      China. lizhaoyang227@163.com.
AD  - Key Laboratory of Groundwater Resources and Environment, Ministry of Education, 
      Jilin University, Changchun, 130021, China. lizhaoyang227@163.com.
AD  - Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin 
      University, Changchun, 130021, China. lizhaoyang227@163.com.
FAU - Yan, Yu
AU  - Yan Y
AD  - China Northeast Municipal Engineering Design and Research Institute Co., Ltd, 
      China's Ministry of Construction, Changchun, 130021, China.
FAU - Chen, Jingshu
AU  - Chen J
AD  - College of New Energy and Environment, Jilin University, Changchun, 130012, 
      China.
LA  - eng
GR  - 2012ZX07202009/National Major Science and Technology Projects of 
      China/International
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20200728
PL  - United States
TA  - Environ Manage
JT  - Environmental management
JID - 7703893
RN  - 0 (Sewage)
SB  - IM
MH  - Animals
MH  - China
MH  - Cities
MH  - *Fuzzy Logic
MH  - Rivers
MH  - *Sewage
OTO - NOTNLM
OT  - AHP
OT  - Multi-criteria decision-making
OT  - Sewage treatment
OT  - TOPSIS
OT  - Town
OT  - Triangular fuzzy number
EDAT- 2020/07/30 06:00
MHDA- 2021/01/30 06:00
CRDT- 2020/07/30 06:00
PHST- 2020/02/25 00:00 [received]
PHST- 2020/07/13 00:00 [accepted]
PHST- 2020/07/30 06:00 [pubmed]
PHST- 2021/01/30 06:00 [medline]
PHST- 2020/07/30 06:00 [entrez]
AID - 10.1007/s00267-020-01338-w [pii]
AID - 10.1007/s00267-020-01338-w [doi]
PST - ppublish
SO  - Environ Manage. 2020 Oct;66(4):709-721. doi: 10.1007/s00267-020-01338-w. Epub 
      2020 Jul 28.