PMID- 26038321
OWN - NLM
STAT- MEDLINE
DCOM- 20160126
LR  - 20181202
IS  - 1573-2959 (Electronic)
IS  - 0167-6369 (Linking)
VI  - 187
IP  - 7
DP  - 2015 Jul
TI  - An application of MC-SDSS for water supply management during a drought crisis.
PG  - 396
LID - 10.1007/s10661-015-4643-y [doi]
AB  - Climate change influences many countries' rainfall patterns and temperatures. In 
      Iran, population growth has increased water demands. Tabriz is the capital of 
      East Azerbaijan province, in northwestern Iran. A large proportion of the water 
      required for this city is supplied from dams; thus, it is important to find 
      alternatives to supply water for this city, which is the largest industrial city 
      in northwestern Iran. In this paper, the groundwater quality was assessed using 
      70 wells in Tabriz Township. This work seeks to define the spatial distribution 
      of groundwater quality parameters such as chloride, electrical conductivity (EC), 
      pH, hardness, and sulfate using Geographic Information Systems (GIS) and 
      geostatistics; map groundwater quality for drinking purposes employing 
      multiple-criteria decision-making (MCDM), such as the Analytical Hierarchy 
      Process (AHP) and fuzzy logic, in the study area; and develop an Spatial Decision 
      Support System (SDSS) for managing a water crisis in the region. The map produced 
      by the AHP is more accurate than the map produced using fuzzy logic because in 
      the AHP, priorities were assigned to each parameter based on the weights given by 
      water quality experts. The final map indicates that the groundwater quality 
      increases from the north to the south and from the west to the east within the 
      study area. During critical conditions, the groundwater quality maps and the 
      presented SDSS core can be utilized by East Azerbaijan Regional Water Company to 
      develop an SDSS to drill new wells or to select existing wells to supply drinking 
      water to Tabriz City.
FAU - Jeihouni, Mehrdad
AU  - Jeihouni M
AD  - Department of Remote Sensing and GIS, Faculty of Geography, University of Tehran, 
      Azin Alley. 50, Vesal Str., Tehran, Iran.
FAU - Toomanian, Ara
AU  - Toomanian A
FAU - Alavipanah, Seyed Kazem
AU  - Alavipanah SK
FAU - Shahabi, Mahmoud
AU  - Shahabi M
FAU - Bazdar, Saba
AU  - Bazdar S
LA  - eng
PT  - Journal Article
DEP - 20150603
PL  - Netherlands
TA  - Environ Monit Assess
JT  - Environmental monitoring and assessment
JID - 8508350
RN  - 0 (Sulfates)
RN  - 0 (Water Pollutants, Chemical)
SB  - IM
MH  - Cities
MH  - Climate Change
MH  - *Decision Support Techniques
MH  - *Droughts
MH  - Electric Conductivity
MH  - Environmental Monitoring
MH  - Fuzzy Logic
MH  - Geographic Information Systems
MH  - Groundwater/*analysis
MH  - Hydrogen-Ion Concentration
MH  - Iran
MH  - Sulfates/analysis
MH  - Water Pollutants, Chemical/analysis
MH  - Water Supply
EDAT- 2015/06/04 06:00
MHDA- 2016/01/27 06:00
CRDT- 2015/06/04 06:00
PHST- 2015/01/17 00:00 [received]
PHST- 2015/05/26 00:00 [accepted]
PHST- 2015/06/04 06:00 [entrez]
PHST- 2015/06/04 06:00 [pubmed]
PHST- 2016/01/27 06:00 [medline]
AID - 10.1007/s10661-015-4643-y [doi]
PST - ppublish
SO  - Environ Monit Assess. 2015 Jul;187(7):396. doi: 10.1007/s10661-015-4643-y. Epub 
      2015 Jun 3.