PMID- 36781674
OWN - NLM
STAT- MEDLINE
DCOM- 20230418
LR  - 20240306
IS  - 1614-7499 (Electronic)
IS  - 0944-1344 (Print)
IS  - 0944-1344 (Linking)
VI  - 30
IP  - 17
DP  - 2023 Apr
TI  - Groundwater vulnerability to pollution assessment: an application of geospatial 
      techniques and integrated IRN-DEMATEL-ANP decision model.
PG  - 49856-49874
LID - 10.1007/s11356-023-25447-1 [doi]
AB  - This study evaluated the susceptibility to groundwater pollution using a modified 
      DRASTIC model. A novel hybrid multi-criteria decision-making (MCDM) model 
      integrating Interval Rough Numbers (IRN), Decision Making Trial and Evaluation 
      Laboratory (DEMATEL), and Analytical Network Process (ANP) was used to 
      investigate the interrelationships between critical hydrogeologic factors (and 
      determine their relative weights) via a novel vulnerability index based on the 
      DRASTIC model. The flexibility of GIS in handling spatial data was employed to 
      delineate thematic map layers of the hydrogeologic factors and to improve the 
      DRASTIC model. The hybrid MCDM model results show that net recharge (a key 
      hydrogeologic factor) had the highest priority with a weight of 0.1986. In 
      contrast, the topography factor had the least priority, with a weight of 0.0497. 
      A case study validated the hybrid model using Anambra State, Nigeria. The 
      resultant vulnerability map shows that 12.98% of the study area falls into a very 
      high vulnerability class, 31.90% falls into a high vulnerability, 23.52% falls 
      into the average vulnerability, 21.75% falls into a low vulnerability, and 9.85% 
      falls into very low vulnerability classes, respectively. In addition, nitrate 
      concentration was used to evaluate the degree of groundwater pollution. Based on 
      observed nitrate concentration, the modified DRASTIC model was validated and 
      compared to the traditional DRASTIC model; interestingly, the spatial model of 
      the modified DRASTIC model performed better. This study is thus critical for 
      environmental monitoring and implementing appropriate management interventions to 
      protect groundwater resources against indiscriminate sources of pollution.
CI  - (c) 2023. The Author(s).
FAU - Chukwuma, Emmanuel Chibundo
AU  - Chukwuma EC
AD  - Department of Agricultural and Bioresources Engineering, Faculty of Engineering, 
      Nnamdi Azikiwe University, Awka, Nigeria.
AD  - Research Fellow, Future Africa, University of Pretoria, Pretoria, South Africa.
FAU - Okonkwo, Chris Chukwuma
AU  - Okonkwo CC
AD  - Department of Agricultural and Bioresources Engineering, Faculty of Engineering, 
      Nnamdi Azikiwe University, Awka, Nigeria.
FAU - Afolabi, Oluwasola Olakunle Daniel
AU  - Afolabi OOD
AD  - School of Architecture, Building and Civil Engineering, Loughborough University, 
      Loughborough, LE11 3TU, UK. o.o.d.afolabi2@lboro.ac.uk.
FAU - Pham, Quoc Bao
AU  - Pham QB
AD  - Faculty of Natural Sciences, Institute of Earth Sciences, University of Silesia, 
      Katowice, Bedzinska Street 60, 41-200, Sosnowiec, Poland.
FAU - Anizoba, Daniel Chinazom
AU  - Anizoba DC
AD  - Department of Agricultural and Bioresources Engineering, Faculty of Engineering, 
      Nnamdi Azikiwe University, Awka, Nigeria.
FAU - Okpala, Chikwunonso Divine
AU  - Okpala CD
AD  - Department of Agricultural and Bioresources Engineering, Faculty of Engineering, 
      Nnamdi Azikiwe University, Awka, Nigeria.
LA  - eng
PT  - Journal Article
DEP - 20230214
PL  - Germany
TA  - Environ Sci Pollut Res Int
JT  - Environmental science and pollution research international
JID - 9441769
RN  - 0 (Nitrates)
SB  - IM
MH  - *Nitrates
MH  - Water Pollution/analysis
MH  - *Groundwater
MH  - Environmental Monitoring/methods
MH  - Nigeria
PMC - PMC10104943
OTO - NOTNLM
OT  - Decision-making model
OT  - Drastic model
OT  - Environmental monitoring
OT  - GIS
OT  - Groundwater pollution
COIS- The authors declare no competing interests.
EDAT- 2023/02/14 06:00
MHDA- 2023/04/18 06:41
PMCR- 2023/02/14
CRDT- 2023/02/13 23:27
PHST- 2022/10/13 00:00 [received]
PHST- 2023/01/17 00:00 [accepted]
PHST- 2023/04/18 06:41 [medline]
PHST- 2023/02/14 06:00 [pubmed]
PHST- 2023/02/13 23:27 [entrez]
PHST- 2023/02/14 00:00 [pmc-release]
AID - 10.1007/s11356-023-25447-1 [pii]
AID - 25447 [pii]
AID - 10.1007/s11356-023-25447-1 [doi]
PST - ppublish
SO  - Environ Sci Pollut Res Int. 2023 Apr;30(17):49856-49874. doi: 
      10.1007/s11356-023-25447-1. Epub 2023 Feb 14.