Spatial and temporal study of nitrate concentration in groundwater by means of coregionalization

D'Agostino, V.; Greene, Earl A.; Passarella, Giuseppe; Vurro, Michele

doi:10.1007/s002540050344

Cited by 44 publications

(19 citation statements)

References 16 publications

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“…Das Gupta et al (1995) investigated groundwater resource quality in a Bangkok aquifer by geostatistical methods, and their results showed the usefulness of applying this method to issues related to groundwater quality. D'Agostino et al (1998) investigated the spatial and temporal variability of nitrate in groundwater via kriging and co-kriging methods. Finke et al (2004) used simple kriging to estimate water surface changes in the Netherlands and introduced it as a suitable method for mapping water surface.…”

Section: Introductionmentioning

confidence: 99%

Assessment and modeling of the groundwater hydrogeochemical quality parameters via geostatistical approaches

et al. 2018

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Geostatistical methods are one of the advanced techniques used for interpolation of groundwater quality data. The results obtained from geostatistics will be useful for decision makers to adopt suitable remedial measures to protect the quality of groundwater sources. Data used in this study were collected from 78 wells in Varamin plain aquifer located in southeast of Tehran, Iran, in 2013. Ordinary kriging method was used in this study to evaluate groundwater quality parameters. According to what has been mentioned in this paper, seven main quality parameters (i.e. total dissolved solids (TDS), sodium adsorption ratio (SAR), electrical conductivity (EC), sodium (Na + ), total hardness (TH), chloride (Cl − ) and sulfate (SO 4 2− )), have been analyzed and interpreted by statistical and geostatistical methods. After data normalization by Nscore method in WinGslib software, variography as a geostatistical tool to define spatial regression was compiled and experimental variograms were plotted by GS + software. Then, the best theoretical model was fitted to each variogram based on the minimum RSS. Cross validation method was used to determine the accuracy of the estimated data. Eventually, estimation maps of groundwater quality were prepared in WinGslib software and estimation variance map and estimation error map were presented to evaluate the quality of estimation in each estimated point. Results showed that kriging method is more accurate than the traditional interpolation methods.

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Section: Introductionmentioning

confidence: 99%

Assessment and modeling of the groundwater hydrogeochemical quality parameters via geostatistical approaches

et al. 2018

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“…The groundwater resources contaminated with high levels of nitrate (> 45 mg/l as NO 3 or 10 mg/l as NO 3 -N) are an environmental hazard. Incidences of nitrate pollution of groundwater have been reported by several workers [4][5][6][7][8][9][10][11]. Sangamner area is experiencing the interplay between natural and human induced factors.…”

Section: Introductionmentioning

confidence: 99%

Ground water quality evaluation with special reference to nitrate pollution in the Sangamner area, Ahmednagar district, Maharashtra, India

Deshmukh

2012

Water Pollution XI

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Water is an essential natural resource for sustaining life and environment which we have always thought to be available in abundance and a free gift of nature. Though groundwater is the major drinking water source, deterioration in its quality is questionable. In recent years, pollution by nitrate leaching from agricultural land has become an important concern. The notable toxic effect of nitrate is infant methaglobinema. The symptoms of nitrate poisoning are also well recognized in animals. In agro-economy based rural areas, the nitrate contamination is rampant and much attention has not been drawn towards this anthropogenic pollution. In the study area, 68 ground water samples from different hydro geological set up have been collected during pre and post monsoon seasons and analyzed for pH, EC and major ions such as Ca 2+

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“…The data analysis was carried out by combining GIS (MapInfo) and statistical methods to test hypotheses about the spatial relationship between measured nitrate concentrations and their immediate environment. D'Agostino et al [4] described a spatial and temporal study of nitrate concentration in the aquifer of the Lucca Plain, central Italy.…”

Section: Introductionmentioning

confidence: 99%

Application of GIS for Predicting Quality of Underground Water for Drinking

Günal

Kösen

2015

Acta Phys. Pol. A

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Gaziantep is located at the south-east part of Turkey. Drinking water needs of Gaziantep city are increased because of population in last decade. Some amounts of drinking water are supplied to Gaziantep from underground. Because of large amount of industrial areas and settlement, quality of ground water is decreased in years. Therefore governors of the city should know which part of the city has a potential of having good quality of drinkable underground water. In this study, 9 wells in the city centre area of Gaziantep city are determined and water samples were taken from these wells. Then water samples were analyzed in the laboratory of GASKİ (Gaziantep Water and Sewage Management). The laboratory results of underground water from each well are entered to ArcGIS program with the digital elevation map of Gaziantep to predict the quality of the underground water of Gaziantep. The ArcGIS program produced quality maps of drinkable water in Gaziantep. These maps show the dynamic and static water levels in the well, pH level, bromide, sulfate, free chlorine, hardness, turbidity, nitrate, and fluoride. This study shows that ArcGIS program is very useful tool to make the quality maps of groundwater for a specific area.

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Spatial and temporal study of nitrate concentration in groundwater by means of coregionalization

Cited by 44 publications

References 16 publications

Assessment and modeling of the groundwater hydrogeochemical quality parameters via geostatistical approaches

Assessment and modeling of the groundwater hydrogeochemical quality parameters via geostatistical approaches

Ground water quality evaluation with special reference to nitrate pollution in the Sangamner area, Ahmednagar district, Maharashtra, India

Application of GIS for Predicting Quality of Underground Water for Drinking

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