PMID- 34782974
OWN - NLM
STAT- MEDLINE
DCOM- 20220322
LR  - 20220322
IS  - 1614-7499 (Electronic)
IS  - 0944-1344 (Linking)
VI  - 29
IP  - 15
DP  - 2022 Mar
TI  - Multi-objective optimal model for sustainable management of groundwater resources 
      in an arid and semiarid area using a coupled optimization-simulation modeling.
PG  - 22179-22202
LID - 10.1007/s11356-021-16918-4 [doi]
AB  - Excessive exploitation of groundwater resources can increase the concentration of 
      pollutants in addition to the progressive drawdown of groundwater table. In this 
      research, to achieve aquifer quantitative and qualitative (QQ) sustainable 
      development, an optimal scenario for withdrawing from operation wells is 
      proposed. At the first step, the aquifer QQ simulation was carried out with the 
      GMS model. The developed code in MATLAB2018b in the second step provides the link 
      between the simulation and the NSGA-II optimization tools. In the third step, a 
      multi-objective coupled optimization-simulation model based on GMS and NSGA-II 
      developed. Finally, optimal scenario was chosen based on applying the multiple 
      criteria decision-making (MCDM) and Berda Aggregation Method (BAM). The results 
      show that reducing the current withdrawal rate to 51.55% can establish the QQ 
      stability of the aquifer. This decrease in groundwater abstraction has led to a 
      4.6 m increase in groundwater level (GWL) over 3 years (average 19 cm per month). 
      The spatial and temporal distribution of nitrate concentration after applying the 
      optimal discharge of wells shows the nitrate concentration in central and eastern 
      parts of the aquifer has greatly reduced. Developed sustainable management model 
      can be used to provide a real operation planning of wells to improvement of the 
      QQ status of groundwater in each unconfined aquifer.
CI  - (c) 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, 
      part of Springer Nature.
FAU - Tabari, Mahmoud Mohammad Rezapour
AU  - Tabari MMR
AUID- ORCID: 0000-0002-4837-5026
AD  - Department of Civil Engineering, Faculty of Technology and Engineering, 
      University of Mazandaran, Babolsar, Iran. mrtabari@umz.ac.ir.
AD  - Center of Excellence in Risk Management and Natural Hazards, Isfahan University 
      and Technology, Isfahan, Iran. mrtabari@umz.ac.ir.
FAU - Eilbeigi, Mehdi
AU  - Eilbeigi M
AD  - Department of Hydrogeology, Shahid Chamran University, Ahvaz, Iran.
FAU - Chitsazan, Manouchehr
AU  - Chitsazan M
LA  - eng
PT  - Journal Article
DEP - 20211115
PL  - Germany
TA  - Environ Sci Pollut Res Int
JT  - Environmental science and pollution research international
JID - 9441769
RN  - 0 (Nitrates)
SB  - IM
MH  - Computer Simulation
MH  - Environmental Monitoring
MH  - *Groundwater
MH  - Nitrates
MH  - Water Wells
OTO - NOTNLM
OT  - GMS simulation model
OT  - Karaj aquifer
OT  - MATLAB code
OT  - Multi-objective optimization
OT  - NSGA-II
OT  - Nitrate concentration
OT  - Sustainable development
EDAT- 2021/11/17 06:00
MHDA- 2022/03/23 06:00
CRDT- 2021/11/16 06:54
PHST- 2021/06/09 00:00 [received]
PHST- 2021/10/03 00:00 [accepted]
PHST- 2021/11/17 06:00 [pubmed]
PHST- 2022/03/23 06:00 [medline]
PHST- 2021/11/16 06:54 [entrez]
AID - 10.1007/s11356-021-16918-4 [pii]
AID - 10.1007/s11356-021-16918-4 [doi]
PST - ppublish
SO  - Environ Sci Pollut Res Int. 2022 Mar;29(15):22179-22202. doi: 
      10.1007/s11356-021-16918-4. Epub 2021 Nov 15.