Assessment and validation of groundwater vulnerability to nitrate in porous aquifers based on a DRASTIC method modified by projection pursuit dynamic clustering model

Jiang, Zhuo; Bian, Jianmin; Wang, Yu; Wan, Hanli; Sun, Xiaolong; Qin, Li

doi:10.1016/j.jconhyd.2019.103522

Cited by 48 publications

(24 citation statements)

References 44 publications

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“…The DRANTHVP method [7] was developed and first implemented in the west of the Jilin Province, China, where the majority of the area belongs to the Songnen Basin. It is a development of DRASTIC that optimizes several parameters while maintaining the basic structure of the original method and combines two main factors of groundwater vulnerability, namely hydrogeological features and human activities.…”

Section: Dranthvp Methods For Groundwater Vulnerability Assessmentmentioning

confidence: 99%

“…where P is rainfall, ET is crop evapotranspiration, and Ro is surface runoff [7]. The evapotranspiration was computed using the Turc Lungbein formula, then multiplied by crop coefficients (Kc), while the surface runoff was estimated by the Soil Conservation Service (SCS)-Curve Number (CN) method as a function of land use and soil type [14].…”

Section: Data Acquisition and Processing Techniquesmentioning

confidence: 99%

“…Eight maps, each representing the DRANTHVP parameter, were overlaid in the ArcGIS 10.3 program to produce and map groundwater vulnerability index using the equation below [7]: 4 Result and discussion…”

Section: Data Analysis Techniquementioning

confidence: 99%

“…One of the most widely used methods to assess groundwater vulnerability is DRASTIC. However, after discovering some significant weaknesses, many prior scholars have modified it into, one of which, the DRANTHVP method [7]. This method was selected as it accommodates a more optimal assessment of groundwater vulnerability to contamination, particularly nitrates.…”

Section: Introductionmentioning

confidence: 99%

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Study of groundwater vulnerability to contamination using the DRANTHVP method in wates groundwater Basin, Indonesia

Ahadiah

Widyastuti

2020

E3S Web Conf.

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Wates Groundwater Basin in Kulon Progo Regency, the Special Region of Yogyakarta, covers an area of 152.67 sq.m. With human occupations continuously growing in the regency, the groundwater in this basin is subject to change. This research was intended to identify the spatial distribution of groundwater vulnerability of Wates Groundwater Basin using the DRANTHVP method, which factors in Depth to Water Table (D), Recharge (R), Aquifer Thickness (A), Nitrate Attenuation Intensity (N), Topography (T), Groundwater Velocity (V), and Pollutant Input Intensity (P). The data were analyzed quantitatively using a weighted tiered approach―the rating was based on to what degree each of these factors contributes to the calculated vulnerability, then overlaid to produce a groundwater vulnerability map. From the analysis, the index values were clustered into three classes of groundwater vulnerability: low 4.48-6.35, medium 6.35-7.39, and high 7.39-7.97. A large proportion of the basin had medium groundwater vulnerability (109.16 sq.m), and less than half of it had low (39.63 sq.m) and high groundwater vulnerability (3.88 sq.m); these severity levels vary depending on the hydrogeological characteristics and land use of a study area.

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Section: Dranthvp Methods For Groundwater Vulnerability Assessmentmentioning

confidence: 99%

Section: Data Acquisition and Processing Techniquesmentioning

confidence: 99%

Section: Data Analysis Techniquementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Study of groundwater vulnerability to contamination using the DRANTHVP method in wates groundwater Basin, Indonesia

Ahadiah

Widyastuti

2020

E3S Web Conf.

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“…It is one of the most valuable sources of fresh water due to its less exposure to contamination and evaporation than surface water. Therefore, the importance of the groundwater in the areas without or with low surface water is much more noticeable (Zhou et al, 2010;Jia et al, 2019). On the other hand, freshwater extraction from natural glaciers and saline sea water is a difficult and costly process.…”

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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Spatial variation of groundwater vulnerability to nitrate pollution under excessive fertilization using index overlay method in central Tunisia (Sidi Bouzid basin)*

Ncibi

Hadji²,

Hajji

et al. 2021

Irrigation and Drainage

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One of the major challenges in assessing groundwater vulnerability to pollution is the inadequate factors number and weight. Therefore, to carefully improve the assessment of groundwater vulnerability, a model independent of weight assignment errors was used. Moreover, the specific vulnerability index (SVI) of Sidi Bouzid North's groundwater was assessed in this study. Intrinsic vulnerability index (IVI) assessment was determined in the first step by the arithmetic mean calculation by the index overlay method (IOM) based on the D: Depth of aquifer; P: annual average Precipitation; L: Lithology of the vadose zone and S: percent of Slope (DPLS) model. Then SVI was assessed by linking new factors (LU and NO 3 − ) to IVI. Consequently, 83 samples were analysed for NO 3 − , showing high values that exceed 50 mg l¹. The spatial distribution of IVI shows three vulnerability classes in the study area, namely low (8%), moderate (15%)and high (77%). The evaluation of SVI based on the risks associated with the NO 3 − and LU factors using GIS indicates that about 95% of the total study area is classified with high SVI levels. It displayed a good correlation with NO 3 − and provided a high discretization of the groundwater risk from natural and anthropogenic pollution. This alarming situation suggests the necessity to apply water-saving irrigation action for adequate water management.

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Assessment and validation of groundwater vulnerability to nitrate in porous aquifers based on a DRASTIC method modified by projection pursuit dynamic clustering model

Cited by 48 publications

References 44 publications

Study of groundwater vulnerability to contamination using the DRANTHVP method in wates groundwater Basin, Indonesia

Study of groundwater vulnerability to contamination using the DRANTHVP method in wates groundwater Basin, Indonesia

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

Spatial variation of groundwater vulnerability to nitrate pollution under excessive fertilization using index overlay method in central Tunisia (Sidi Bouzid basin)*

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