Assessment of groundwater contamination risk using hazard quantification, a modified DRASTIC model and groundwater value, Beijing Plain, China

Wang, Junjie; He, Jiangtao; Chen, Honghan

doi:10.1016/j.scitotenv.2012.06.005

Cited by 168 publications

(63 citation statements)

References 31 publications

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“…No entanto, cabe lembrar que as fontes potenciais de contaminação são transitórias e refletem o cenário do momento em que foi realizado o levantamento para o estudo. WANG et al (2012) ressaltam que o resultado é temporário e a avaliação do perigo potencial de contaminação deve ser um processo contínuo, utilizando a informação mais atualizada para facilitar o gerenciamento da água subterrânea.…”

Section: Discussionunclassified

Perigo de contaminação da água subterrânea na região de Indaiatuba a Capivari, estado de São Paulo, Brasil

et al. 2017

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RESUMOO mapeamento do perigo de contaminação dos aquíferos auxilia o planejamento do uso e ocupação do solo, indicando prioridades para o controle das atividades antrópicas e para a proteção das captações de água subterrânea. Considerando o perigo como resultado da interação entre a vulnerabilidade natural dos aquíferos e a carga potencial contaminante imposta por atividades antrópicas, neste trabalho o sistema de classificação do perigo de contaminação da água subterrânea foi adaptado para permitir o mapeamento com base em técnicas de análise espacial em SIG (Sistema de Informação Geográfica). O mapeamento do perigo de contaminação da água subterrânea foi realizado em uma área que abrange seis municípios localizados no leste do estado de São Paulo, Brasil, caracterizada por um expressivo desenvolvimento econômico e acentuado processo de expansão urbana. O mapa de perigo de contaminação associado às fontes pontuais de contaminação indicou que as áreas mais críticas estão nos distritos industriais de Indaiatuba e de Salto e em áreas dispersas ao longo do rio Capivari e das rodovias. Na área urbana, o perigo de contaminação associado ao sistema de saneamento está concentrado nas porções com urbanização mais antiga e com maior densidade de ocupação. Na área rural, os setores com perigo alto a moderado de contaminação ocorrem, principalmente, na porção oeste da área estudada, onde predomina a monocultura canavieira. Em relação às fontes difusas, as áreas com moderado a muito baixo perigo de contaminação apresentam maior extensão, resultante da baixa vulnerabilidade dos aquíferos na região. Considerando o aspecto dinâmico do uso e ocupação do solo, o mapa de perigo de contaminação da água subterrânea deve ser atualizado periodicamente para melhor subsidiar as ações de planejamento e, nesse sentido, as ferramentas de geoprocessamento facilitam a tarefa.

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Section: Discussionunclassified

Perigo de contaminação da água subterrânea na região de Indaiatuba a Capivari, estado de São Paulo, Brasil

et al. 2017

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“…Other criticisms include that it uses so many variables, which may cause some non-critical variables to subdue the influence of the critical parameters in some settings [35]. These notwithstanding, the advantages of the model were adjudged to have outweighed its shortcomings [36].…”

Section: Introductionmentioning

confidence: 99%

Assessment of Groundwater Vulnerability in Kaduna Metropolis, Northwest Nigeria

Ahmed¹,

Tanko²,

Eduvie³

et al. 2017

GEP

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DRASTIC index model was employed in the assessment of the intrinsic groundwater vulnerability to contamination in Kaduna metropolis, Nigeria. The model evaluates the contribution of seven environmental parameters (Depth to water level, Net Recharge, Aquifer media, Soil media, Topography, Impact of vadose zone, and Hydraulic Conductivity) in the protection of groundwater against contamination. The mapping was conducted within the framework of Geographical Information System. The study area has very low, low to slightly moderate vulnerability with highest and lowest DRASTIC values of 131 and 77 respectively. To have better understanding of the spatial vulnerability of groundwater in the area, the DRASTIC map was reclassified into five (very high, high, moderate, low and very low) vulnerability zones. Generally, the distribution of the vulnerability classes indicated the low to moderate vulnerability status of the majority parts of the study area, with high vulnerability at the center. Strict control measures should be put in place when locating land uses with high potential hazards in the high and very high vulnerability areas.

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“…The harmfulness of the hazard was evaluated by quantifying the contaminant properties and infiltrating the contaminant load. Furthermore, the vulnerability of the intrinsic aquifer was evaluated using a modified DRASTIC model, and the groundwater value was evaluated based on its quality and aquifer storage [9]. A supervised committee machine with artificial intelligence (SCMAI) model was introduced to improve the DRASTIC method for the groundwater vulnerability assessment of the Maragheh-Bonab plain aquifer in Iran [10].…”

Section: Introductionmentioning

confidence: 99%

A Vulnerability Evaluation of the Phreatic Water in the Plain Area of the Junggar Basin, Xinjiang Based on the VDEAL Model

Jia

Zhou

Zhou³

et al. 2014

Sustainability

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A VDEAL (V is the lithology of the vadose zone, D is the groundwater depth, E is the degree of groundwater exploitation, A is the aquifer characteristics and L is the land use pattern.) model, which is suitable for a vulnerability evaluation of the groundwater in arid inland areas, and that is based on the GOD (G is the groundwater status, O is overburden feature and D is groundwater depth) method and DRASTIC (D is the depth of water-table, R is the net recharge, A is the aquifer media, S is the soil media, T is the topography, I is the impact of the vadose and C is the conductivity of the aquifer.) model is proposed in this paper. Five indicators were selected by reference to the DRAV (D is the depth of water-table, R is the net recharge, A is the aquifer media and V is the impact of the vadose.) and VLDA (V is the lithology of the vadose zone , L is the land use pattern, D is the groundwater depth and A is the aquifer characteristics and.) models, namely, the OPEN ACCESS Sustainability 2014, 6 8605 lithology of the vadose zone (V), the groundwater depth (D), the degree of groundwater exploitation (E), the aquifer characteristics (A) and the land use pattern (L). According to monitoring data from 2003 and 2011, the variations of phreatic water quality in the plain area of the Junggar Basin were divided into three types: the water quality may have deteriorated, be unchanged or improved. Four groups of indicator weights were configured to calculate the vulnerability index using the VDEAL model. The changes of phreatic water quality were then compared against the vulnerability index. The normalized weights of V, D, E, A, and L were respectively 0.15, 0.25, 0.10, 0.10, and 0.40; this is according to the principle that the sampling sites of deteriorated water quality are generally distributed in a high-vulnerability region, and the sites of unchanged and improved water quality are distributed in middle vulnerability, low vulnerability and invulnerable regions. The evaluation results of phreatic water vulnerability in the plain area of the Junggar Basin based on the VDEAL model are as follows. The regions with vulnerability indexes of 2.0-4.0, 4.0-6.0, 6.0-8.0, and >8.0, respectively account for 2.2%, 61.0%, 35.9%, and 0.9% of the region. The regions with a higher vulnerability are mainly distributed in the farmlands and the sand and gravel regions with a phreatic water depth of <3 m. Moreover, the regions with a lower vulnerability are generally located in the non-irrigation regions with a sandy loam or silty fine sand and a phreatic water depth of >6 m. The phreatic water in these regions is deficient with regard to the infiltration of irrigation water and the recharge from precipitation.

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Assessment of groundwater contamination risk using hazard quantification, a modified DRASTIC model and groundwater value, Beijing Plain, China

Cited by 168 publications

References 31 publications

Perigo de contaminação da água subterrânea na região de Indaiatuba a Capivari, estado de São Paulo, Brasil

Perigo de contaminação da água subterrânea na região de Indaiatuba a Capivari, estado de São Paulo, Brasil

Assessment of Groundwater Vulnerability in Kaduna Metropolis, Northwest Nigeria

A Vulnerability Evaluation of the Phreatic Water in the Plain Area of the Junggar Basin, Xinjiang Based on the VDEAL Model

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