A modified DRASTIC model for assessing contamination risk of groundwater in the northern suburb of Yinchuan, China

Wu, Hao; Chen, Jie; Qian, Hui

doi:10.1007/s12665-015-5094-z

Cited by 45 publications

(11 citation statements)

References 25 publications

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“…Wu et al [23] Rd-distance to river network; N-average pollution load of NO 3 -N; V-groundwater velocity; Lin-Lineaments; P-impact of pollution sources; Q-water quality.…”

Section: Modified Model Methodology Of Weight Determination Results Rmentioning

confidence: 99%

“…The weights of parameters reflect their relative importance on the result of vulnerability by a series of pairwise comparison judgments. The judgments were determined depending on the weights of parameters in the initial DRASTIC and references [21,23,33]. There was a slight difference in the weights between 2006 and 2016, considering that the contribution of some factors changed with time.…”

Section: Analytic Hierarchy Processmentioning

confidence: 99%

“…Therefore, various studies have modified the original model in consideration of area-specific ratings and weights [14][15][16][17][18][19][20][21][22]. For example, using the analytic hierarchy process (AHP) to optimize the rates and weights of the DRASTIC model makes it possible to obtain better results [13,23]. In addition, establishing the link between intrinsic groundwater vulnerability and land use can give a clear view of the impact of human activities on the environment [24][25][26].…”

Section: Introductionmentioning

confidence: 99%

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The Spatial and Temporal Variability of Groundwater Vulnerability and Human Health Risk in the Limin District, Harbin, China

Huang

Zuo

et al. 2018

Water

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This study aimed to analyze the variations in groundwater quality, vulnerability and potential health risk from 2006 to 2016 in the Limin District, Harbin, China. Groundwater geochemical characteristics were described using statistical analysis and Piper diagrams. A modified DRASTIC model that combined factors of intrinsic aquifer vulnerability and land use was applied to assess groundwater vulnerability. The weights of parameters were adjusted by using the analytic hierarchy process (AHP) to optimize the model. The non-carcinogenic health risk was estimated by the Unites States Environmental Protection Agency (USEPA) model. Results suggested that concentrations of NH 4-N, Fe and Mn in groundwater exceeded the limits both in 2006 and in 2016. The concentration of Fe in the groundwater showed more significant variation between 2006 and 2016 than the other parameters. Very high vulnerability zones increased from 6.3% in 2006 to 16.9% in 2016, and distributed on agricultural land, indicating that agriculture was still a major source of pollution. Mn and NO 3-N contributed the most to human health risks in 2006 and 2016, respectively. This study highlights the influence of groundwater quality variation in decadal exploitation on human health.

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“…Wu et al [23] Rd-distance to river network; N-average pollution load of NO 3 -N; V-groundwater velocity; Lin-Lineaments; P-impact of pollution sources; Q-water quality.…”

Section: Modified Model Methodology Of Weight Determination Results Rmentioning

confidence: 99%

Section: Analytic Hierarchy Processmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The Spatial and Temporal Variability of Groundwater Vulnerability and Human Health Risk in the Limin District, Harbin, China

Huang

Zuo

et al. 2018

Water

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“…Impact of vadose zone is a layer located between groundwater table and unsaturated soil, which controls the passage of contaminant into the groundwater (Vaezihir and Tabarmayeh 2015). With respect to many physical and chemical reactions occurring in this zone such as mechanical filtration, volatilization, dispersion, biodegradation, and neutralization, this layer is potential for filtering the contaminants (Wu et al 2016). The influence of this layer in the assessment of aquifer vulnerability is similar to the soil parameter.…”

Section: Structure Of Each Model For Evaluating Drastic Indicesmentioning

confidence: 99%

Groundwater risk assessment based on optimization framework using DRASTIC method

Jafari

Nikoo

2016

Arab J Geosci

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Due to anthropogenic influences and large amounts of pollutant released into the groundwater, it is vital to investigate groundwater quality and to characterize susceptible areas to contamination. In this paper, a new optimizationbased methodology is proposed for determining groundwater risk using DRASTIC model based on genetic algorithm optimization model and Wilcoxon test. The correlation coefficient between DRASTIC/modified DRASTIC indices and nitrate concentrations in monitoring wells is used as a criteria for evaluating the efficiency of the proposed models. In this regard, because of the unsatisfactory original DRASTIC's result, sensitivity analysis, genetic algorithm (GA), and Wilcoxon test (1945) are carried out to tackle the subjectivity associated with the original DRASTIC model and obtain better and reliable results. The results indicate that application of Wilcoxon test and GA optimization outperforms the others. Consequently, the correlation coefficient increased remarkably as compared to the original DRASTIC model (from 0.57 to 0.82). The proposed optimization process is adaptable to be applied in different case studies; mainly since it has the ability to optimize the weights of the model based on hydrogeological characteristics of the aquifer. Finally, the risk maps of the models are prepared using ArcGIS® to determine the most vulnerable areas.

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“…Groundwater quality can also be protected through the development of vulnerability maps. According to related studies, groundwater vulnerability is often assessed applying the DRASTIC and modified versions of this model (Wu et al, 2016;Kong et al, 2019). Groundwater vulnerability can be evaluated considering two different aspects, including intrinsic vulnerability and specific vulnerability.…”

Section: Introductionmentioning

confidence: 99%

Groundwater Vulnerability Mapping Using a Modified-Drastic Model in Ajabshir Plain, Southeast Coast of Urmia Lake, Iran

Nakhostinrouhi

Moghaddam

2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Groundwater resources play an important role not only in providing drinking water but also in irrigation, industry and power generation. In general, groundwater is a part of the water cycle in nature that can be collected by wells, qanats, drains, or natural springs. In this research, the potential of groundwater vulnerability in Ajabshir plain, located in the Southwest of East Azerbaijan Province and Southeast of the Urmia Lake, Iran, is investigated using 7 hydrogeological parameters as well as land-use criterion. Depth to water map is provided using 26 boreholes. Twenty-seven drilling points are also used in generating aquifer media and impact of vadose zone maps. After providing and ranking all layers, they are multiplied by appropriate weights and overlaid to produce vulnerability map. Modified-DRASTIC model is applied to achieve the aim. According to the results, an approximately large part of the aquifer (29 percent), mostly located in the west of the plain, is covered with moderate vulnerability class. Spearman correlation coefficient is calculated 0.63 between the vulnerability and land use maps.

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A modified DRASTIC model for assessing contamination risk of groundwater in the northern suburb of Yinchuan, China

Cited by 45 publications

References 25 publications

The Spatial and Temporal Variability of Groundwater Vulnerability and Human Health Risk in the Limin District, Harbin, China

The Spatial and Temporal Variability of Groundwater Vulnerability and Human Health Risk in the Limin District, Harbin, China

Groundwater risk assessment based on optimization framework using DRASTIC method

Groundwater Vulnerability Mapping Using a Modified-Drastic Model in Ajabshir Plain, Southeast Coast of Urmia Lake, Iran

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