PMID- 30180352
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20181003
LR  - 20181004
IS  - 1879-1026 (Electronic)
IS  - 0048-9697 (Linking)
VI  - 647
DP  - 2019 Jan 10
TI  - Risk analysis of urban stormwater infrastructure systems using fuzzy spatial 
      multi-criteria decision making.
PG  - 1468-1477
LID - S0048-9697(18)33040-7 [pii]
LID - 10.1016/j.scitotenv.2018.08.074 [doi]
AB  - Design and performance of stormwater infrastructure systems in urban areas have 
      direct implications in social, environmental and public health problems and are 
      of utmost importance to urban authorities and managers. Risk analysis in urban 
      stormwater systems has become a must because of the extensive consequences of 
      flooding in urban areas and limited funding for the rehabilitation and renovation 
      of stormwater systems. Complexity, multidimensionality, and inherent 
      uncertainties of the urban stormwater systems require the risk analysis approach 
      to be comprehensive and able to address different uncertainties and spatial 
      aspects of the problem. The objective of this study is to provide a comprehensive 
      framework for risk analysis in urban stormwater systems. Multi Criteria Decision 
      Making (MCDM), geographic information systems (GIS), and fuzzy sets theory are 
      used to consider the diverse risk-affecting criteria, facilitate the analysis of 
      spatial data and information and formulate the ambiguity and uncertainty of 
      problem, respectively. The presented framework uses a Fuzzy Analytic Hierarchy 
      Process (FAHP) for determining the weights of risk-affecting criteria (i.e. 
      Hydrological and Hydraulic, Traffic, Social, Economic, Environmental, Structural, 
      and Green space) in the presence of multiple decision makers. The Autodesk Storm 
      and Sanitary Analysis model is used for the Hydrological and Hydraulic 
      simulations. FSAW and FTOPSIS methods are used to provide the final product of 
      the framework, i.e., a risk map that presents a risk level for each channel in 
      the network. The framework is applied to District 11 of the capital city of Iran, 
      Tehran as a real case study. The resulted risk maps indicate a high or very high 
      flooding risk for 17.07 to 41.95 km of the stormwater channels in the study area, 
      covering about 10.5 to 26% of the total length of the channels. The presented 
      framework was found to be a suitable risk analysis tool in urban stormwater 
      systems.
CI  - Copyright (c) 2018 Elsevier B.V. All rights reserved.
FAU - Shariat, Reyhaneh
AU  - Shariat R
AD  - Department of Irrigation and Drainage Engineering, Aburaihan Campus, University 
      of Tehran, Tehran, Iran. Electronic address: shariat.r92@ut.ac.ir.
FAU - Roozbahani, Abbas
AU  - Roozbahani A
AD  - Department of Irrigation and Drainage Engineering, Aburaihan Campus, University 
      of Tehran, Tehran, Iran. Electronic address: roozbahany@ut.ac.ir.
FAU - Ebrahimian, Ali
AU  - Ebrahimian A
AD  - Department of Civil and Environmental Engineering, Villanova University, 
      Villanova, PA, USA. Electronic address: ali.ebrahimian@villanova.edu.
LA  - eng
PT  - Journal Article
DEP - 20180806
PL  - Netherlands
TA  - Sci Total Environ
JT  - The Science of the total environment
JID - 0330500
OTO - NOTNLM
OT  - Autodesk SSA
OT  - Fuzzy sets theory
OT  - GIS
OT  - Risk analysis
OT  - Spatial Multi Criteria Decision Making
OT  - Urban stormwater systems
EDAT- 2018/09/06 06:00
MHDA- 2018/09/06 06:01
CRDT- 2018/09/06 06:00
PHST- 2018/04/23 00:00 [received]
PHST- 2018/07/26 00:00 [revised]
PHST- 2018/08/05 00:00 [accepted]
PHST- 2018/09/06 06:00 [pubmed]
PHST- 2018/09/06 06:01 [medline]
PHST- 2018/09/06 06:00 [entrez]
AID - S0048-9697(18)33040-7 [pii]
AID - 10.1016/j.scitotenv.2018.08.074 [doi]
PST - ppublish
SO  - Sci Total Environ. 2019 Jan 10;647:1468-1477. doi: 
      10.1016/j.scitotenv.2018.08.074. Epub 2018 Aug 6.