Evaluation of contaminants retention in soils from Viamão District, Rio Grande do Sul State, Brazil

Herlinger, Ronaldo; Viero, Antonio Pedro

doi:10.1007/s00254-006-0185-5

Cited by 7 publications

(2 citation statements)

References 8 publications

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“…This method also has been used in Europe (e.g. Stigter et al 2006;Vias et al 2005), South America (Tovar and Rodriguez 2004;Herlinger and Viero 2006), Australia (Piscopo 2001), New Zealand (McLay et al 2001, Asia (Al-Adamat et al 2003;El-Naqa 2004;Thirumalaivasan et al 2003;Rahman 2007;Kim andHamm 1999), andAfrica (Lynch et al 1997;Ibe et al 2001). DRASTIC originally developed for manual overlay of semi quantitative data layers.…”

Section: Introductionmentioning

confidence: 95%

A GIS-based DRASTIC Model for Assessing Aquifer Vulnerability in Kherran Plain, Khuzestan, Iran

Chitsazan

Akhtari

2008

Water Resour Manage

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The Kherran plain is located in the northeast of Ahwaz in Khuzestan Province, Iran. The state of groundwater pollution is a critical issue with increasing population and agricultural development in Iran. For this reason, vulnerability assessment is an important factor in any policy making decision in any part of country. Focusing on this issue, the article attempts to presents a groundwater vulnerability map for the Kherran plain. The map designed to show areas of highest potential for groundwater pollution based on hydro-geological condition and human impacts. Seven major hydro-geological factors (Depth to water table, net Recharge, Aquifer media, Soil media, Topography, Impact of vadose zone and hydraulic Conductivity) were incorporated into DRASTIC model and geographical information system (GIS) was used to create a groundwater vulnerability map by overlaying the available hydro-geological data. The output map shows that the west and southwest of the aquifer are under medium vulnerability while small areas on northwest and east of the study area have no risk to pollution. Other parts of aquifer have low vulnerability. For testing of the vulnerability assessment, 27 groundwater samples were collected from the different vulnerability zones of the study area. The chemical analysis results show that the southwest and west parts of aquifer (moderate vulnerability zones) have higher nitrate concentration relative to the rest of aquifer, that are located in low vulnerability zone.

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Section: Introductionmentioning

confidence: 95%

A GIS-based DRASTIC Model for Assessing Aquifer Vulnerability in Kherran Plain, Khuzestan, Iran

Chitsazan

Akhtari

2008

Water Resour Manage

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“…The DRASTIC model has also been used for mapping of the vulnerable zone due to salt water intrusion (Kalinski et al 1994;Zhang et al 1996;Pacheco and Sanches Fernandes 2013). Many researchers have been using various geoprocessing tools for analyzing the multiple factors of the DRASTIC model (McLay et al 2001;Thirumalaivasan et al 2003;Herlinger and Viero 2006;Stigter et al 2006;Rahman 2008).…”

Section: Introductionmentioning

confidence: 99%

Mapping of coastal aquifer vulnerable zone in the south west coast of Kanyakumari, South India, using GIS-based DRASTIC model

Kaliraj

Chandrasekar

Peter

et al. 2014

Environ Monit Assess

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The south west coast of Kanyakumari district in Tamil Nadu, India, is significantly affected by seawater intrusion and diffusion of pollutants into the aquifers due to unregulated beach placer mining and other anthropogenic activities. The present study investigates the vulnerability of the coastal aquifers using Geographic Information System (GIS)-based DRASTIC model. The seven DRASTIC parameters have been analyzed using the statistical equation of this model to demarcate the vulnerable zones for aquifer contamination. The vulnerability index map is prepared from the weighted spatial parameters, and an accounting of total index value ranged from 85 to 213. Based on the categorization of vulnerability classes, the high vulnerable zones are found near the beach placer mining areas between Manavalakurichi and Kodimanal coastal stretches. The aquifers associated with settlements and agricultural lands in the middle-eastern part have experienced high vulnerability due to contaminated water bodies. Similarly, the coastal areas of Thengapattinam and Manakudi estuary and around the South Tamaraikulam have also been falling under high vulnerability condition due to backwater and saltpan. In general, the nearshore region except the placer mining zone and the backwater has a moderately vulnerable condition, and the vulnerability index values range from 149 to180. Significantly, the northern and northeastern uplands and some parts of deposition zones in the middle-south coast have been identified as low to no vulnerable conditions. They are structurally controlled by various geological features such as charnockite, garnet biotite gneiss and granites, and sand dunes, respectively. The aquifer vulnerability assessment has been cross-verified by geochemical indicators such as total dissolved solids (TDS), Cl(-), HCO₃(-), and Cl(-)/HCO₃(-) ratio. The high ranges of TDS (1,842--3,736 mg/l) and Cl(-) (1,412--2,112 mg/l) values are well correlated with the observed high vulnerable zones in the study area. The Cl(-)/HCO₃(-) ratio (7.13 to 12.18) of the high vulnerable zone obviously indicates deterioration of the aquifer contamination. Sensitivity analysis has also been performed to evaluate sensitivity of the individual DRASTIC parameters to aquifer vulnerability. This reveals the net recharge rate and groundwater table depth are becoming more sensitive to aquifer contamination. It is realized that the GIS is an effective platform for aquifer vulnerability mapping with reliable accuracy, and hence, the study is more useful for sustainable water resource management and the aquifer conservation.

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Groundwater vulnerability assessment in coastal plain of Rio Grande do Sul State, Brazil, using drastic and adsorption capacity of soils

Herlinger

Viero

2006

Environ Geol

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Evaluation of contaminants retention in soils from Viamão District, Rio Grande do Sul State, Brazil

Cited by 7 publications

References 8 publications

A GIS-based DRASTIC Model for Assessing Aquifer Vulnerability in Kherran Plain, Khuzestan, Iran

A GIS-based DRASTIC Model for Assessing Aquifer Vulnerability in Kherran Plain, Khuzestan, Iran

Mapping of coastal aquifer vulnerable zone in the south west coast of Kanyakumari, South India, using GIS-based DRASTIC model

Groundwater vulnerability assessment in coastal plain of Rio Grande do Sul State, Brazil, using drastic and adsorption capacity of soils

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