Optimization of DRASTIC method by artificial neural network, nitrate vulnerability index, and composite DRASTIC models to assess groundwater vulnerability for unconfined aquifer of Shiraz Plain, Iran

Baghapour, Mohammad Ali; Nobandegani, Amir Fadaei; Talebbeydokhti, Nasser; Bagherzadeh, Somayeh; Nadiri, Ata Allah; Gharekhani, Maryam; Chitsazan, Nima

doi:10.1186/s40201-016-0254-y

Cited by 82 publications

(30 citation statements)

References 33 publications

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“…Agricultural runoff and industrial wastewater arrives into the river at the south eastern part of Shiraz. The geological information showed that the development that takes place in the area are from old to new such as Formation of Tarbor takes place during Campanian to Maastrichtian, Pabdeh-Gurpi developments occurred in Paleocene, formation of Sachun takes place in Paleocene, Jahrom formation occurred in Eocene, Asmari establishments takes place in Oligocene, Razak formation during Miocene, Agha Jari development occurred in Miocene to Pliocene, formation of Bakhtyari made in Pliocene to Pleistocen, and quarternary alluvial deposits [21].…”

Section: Hydrological Settings and Aquifer Formationmentioning

confidence: 99%

Groundwater quality evaluation of Shiraz City, Iran using multivariate and geostatistical techniques

Alamdar¹,

Kumar

Moghtaderi³

et al. 2019

SN Appl. Sci.

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Groundwater is vital water resource for domestic, agricultural and industrial purposes in Shiraz City, Iran. Management of groundwater with respect to quality and quantity is decisive subject in order to accomplish the increasing requirements for water. In the present paper, evaluation of groundwater parameters, viz., pH, electrical conductivity (EC), major cations (K + , Na + , Ca 2+ and Mg 2+), major anions (Cl − and HCO 3 −), NO 3 − , SO 4 2− , total dissolved solids (TDS), alkalinity, hardness, sodium absorption ratio (SAR) and Na% were done from Shiraz City, Iran. Consequently, 80 groundwater samples were collected from different sites in June 2017. The results of different parameters were compared with the standard guideline prescribed by the World Health Organization (WHO) for drinking and public health purposes. From the results, it was concluded that 62.5% samples exceeded for EC values, 12.5% samples for Na + , 30% samples for Ca 2+ , 97.5% samples for Mg 2+ and TDS, 28.7% samples for Cl − , and 40% samples for SO 4 2− contents as recommended by WHO. The Na% values ranged from 5.25 to 38.59, whereas SAR values varied from 0.21 to 6.64 meq/L. Results of Na% and SAR indicated that groundwater is good for irrigation and domestic purposes. The results of MGI and BEI showed that 83.75% sampling sites showed shallow meteoric percolation type and Na + SO 4 type with less than one value respectively. Multivariate statistical analysis (cluster analysis and principal component analysis) and spatial maps showed that both anthropogenic activities such as cement factory, gas power plant, Rishmark factory and vegetable Oil Company, and natural processes like rock weathering are responsible for the contents of groundwater parameters.

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Section: Hydrological Settings and Aquifer Formationmentioning

confidence: 99%

Groundwater quality evaluation of Shiraz City, Iran using multivariate and geostatistical techniques

Alamdar¹,

Kumar

Moghtaderi³

et al. 2019

SN Appl. Sci.

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“…CC BY 4.0 License. (Raju et al, 2014), and DRASTIC (Neshat et al, 2014;Baghapour et al, 2014;Baghapour et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…Many studies have been conducted using DRASTIC index to estimate the groundwater vulnerability in the world different regions (Jaseela et al, 2016;Zghibi et al, 2016;Kardan Moghaddam et al, 2017;Kumar et al, 2016;Neshat and Pradhan, 2017;Souleymane and Tang, 2017;Ghosh and Kanchan, 2016;Saida et al, 2017), however, fewer studies have used the CDRASTIC index for evaluation of the groundwater vulnerability (Baghapour et al, 2016;Baghapour et al, 2014;Secunda et al, 1998;Jayasekera et al, 2011;Shirazi et al, 2012;Jayasekera et al, 2008). Boughriba et al (2010) utilized DRASTIC index in geographical information system environment for an estimate of the vulnerability in the aquifer.…”

Section: Introductionmentioning

confidence: 99%

Contribution of the Sensitivity Analysis in Groundwater Vulnerability Assessing Using the DRASTIC and Composite DRASTIC Indexes

Malakootian¹,

Nozari²

2019

Preprint

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Abstract. The present study estimates Kerman–Baghin aquifer vulnerability by applying the DRASTIC and composite DRASTIC (CDRASTIC) indexes. The factors affecting the transfer of contamination, including the water table depth, soil media, aquifer media, the impact of the vadose zone, topography, hydraulic conductivity, and land use, were ranked, weighted, and integrated using a geographical information system (GIS). A sensitivity test has also been performed to specify the sensitivity of the parameters. The study results show that the topographic layer displays a gentle slope in the aquifer. The majority of the aquifer covered irrigated field crops and grassland with a moderate vegetation cover. In addition, the aquifer vulnerability maps indicate very similar results, recognizing the northwest parts of the aquifer as areas with high and very high vulnerability. The map removal sensibility analysis (MRSA) revealed the impact of the vadose zone (in the DRASTIC index) and hydraulic conductivity (in the CDRASTIC index) as the most effective parameters in the vulnerability evaluation. In both indexes, the single-parameter sensibility analysis (SPSA) showed net recharge as the most effective factor in the vulnerability estimation. From this study, it can be concluded that vulnerability maps can be used as a tool to control human activities for the sustained protection of aquifers.

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“…Given the consequences, a comprehensive risk analysis of groundwater that can provide reasonable and reliable plans for groundwater exploitation and minimize the risk of exploitation and utilization is necessary [12,13]. At present, there are many methods of groundwater risk assessment, such as fuzzy evaluation [14,15], factor analysis [16], neural network analysis [17][18][19], analytic hierarchy process [20][21][22][23] and so on. Zhang et al proposed an approach with analysis hierarchy process and fuzzy comprehensive evaluation integrated together to establish a corresponding index system of groundwater risk assessment [15].…”

Section: Introductionmentioning

confidence: 99%

Assessing Risks from Groundwater Exploitation and Utilization: Case Study of the Shanghai Megacity, China

Zhang

et al. 2019

Water

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With rapid economic development, demand for water resources is continuously increasing, which has resulted in common overexploitation of groundwater, particularly in megacities. This overexploitation of groundwater over many years has brought a series of adverse problems, including groundwater level decline, land subsidence and hydrogeological issues. To quantitatively describe these risks, we propose a risk evaluation model for groundwater exploitation and utilization. By deducing and expanding on the cusp catastrophe type, this study breaks through the limitations on the catastrophe assessment method, e.g., the number of indicators, and establishes an improved catastrophe assessment model for groundwater exploitation and utilization risk. In addition, the index system of the risk evaluation is constructed including three criterion layers: groundwater system condition (B1), groundwater exploitation and utilization (B2) and groundwater environmental problems (B3) and is tested for the conditions in Shanghai City, eastern China. The evaluation results show that the comprehensive risk values for groundwater exploitation and utilization in all districts (counties) of Shanghai are between 0.68 and 0.85, which categorizes the city as in the moderate risk zone; therefore, the improved catastrophe model is suitable for assessing groundwater exploitation risk in Shanghai City and should be applicable more broadly for the effective protection and sustainable supply of groundwater.

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Optimization of DRASTIC method by artificial neural network, nitrate vulnerability index, and composite DRASTIC models to assess groundwater vulnerability for unconfined aquifer of Shiraz Plain, Iran

Cited by 82 publications

References 33 publications

Groundwater quality evaluation of Shiraz City, Iran using multivariate and geostatistical techniques

Groundwater quality evaluation of Shiraz City, Iran using multivariate and geostatistical techniques

Contribution of the Sensitivity Analysis in Groundwater Vulnerability Assessing Using the DRASTIC and Composite DRASTIC Indexes

Assessing Risks from Groundwater Exploitation and Utilization: Case Study of the Shanghai Megacity, China

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