Developing and validating intrinsic groundwater vulnerability maps in regions with limited data: a case study from Datong City in China using DRASTIC and Nemerow pollution indices

Kong, Mengyuan; Wu, Yongxiang; Liu, Guodong; Yi, Xu; Wang, Gaoxu

doi:10.1007/s12665-019-8255-7

Cited by 30 publications

(18 citation statements)

References 15 publications

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“…We used geological accumulation index ( GI ), proposed by Muller, to assess heavy metal pollution levels, which had been widely used in paddy soils [ 48 ]. The Nerome Comprehensive Index ( NI ) is another common method based on GI to reflect the level of heavy metal pollution [ 49 ]. Collectively, the level of heavy metal pollution in the soil can be effectively assessed by combining the two methods of GI and NI .…”

Section: Framework and Data Collectionmentioning

confidence: 99%

Effect Mechanism of Land Consolidation on Soil Bacterial Community: A Case Study in Eastern China

Lin

Liu

et al. 2022

IJERPH

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Farmland consolidation is an effective tool to improve farmland infrastructures, soil quality, and sustain a healthy farmland ecosystem and rural population, generating contributions to food security and regional sustainable development. Previous studies showed that farmland consolidation regulates soil physical and chemical properties. Soil microorganisms also play an important role in soil health and crop performance; however, few studies reported how farmland consolidation influence soil microecology. Here, we used DNA sequencing technology to compare bacterial community structure in farmlands with and without consolidation. DNA sequencing technology is the most advanced technology used to obtain biological information in the world, and it has been widely used in the research of soil micro-ecological environment. In September 2018, we collected soil samples in Jiashan County, Zhejiang Province, China, and used DNA sequence technology to compare the bacterial community structure in farmlands with and without consolidation. Our results found that (1) farmland consolidation had significant impacts on soil microbial characteristics, which were mainly manifested as changes in microbial biomass, microbial diversity and community structure. Farmland consolidation can increase the relative abundance of the three dominant bacteria phyla and the three fungal dominant phyla, but it also negatively affects the relative abundance of the six dominant bacteria phyla and the three fungal dominant phyla. (2) Farmland consolidation had an indirect impact on soil bacterial community structure by adjusting the soil physical and chemical properties. (3) The impact of heavy metals on bacterial community structure varied significantly under different levels of heavy metal pollution in farmland consolidation areas. There were 6, 3, 3, and 5 bacterial genera that had significant correlations with heavy metal content in cultivated land with low pollution, light pollution, medium pollution, and heavy pollution, respectively. The number of heavy metal-tolerant bacteria in the soil generally increased first and then decreased under heavy metal polluted conditions. Our study untangled the relationship between varied farmland consolidation strategies and bacteria through soil physcicochemical properties and metal pollution conditions. Our results can guide farmland consolidation strategies and sustain soil health and ecological balance in agriculture.

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Section: Framework and Data Collectionmentioning

confidence: 99%

Effect Mechanism of Land Consolidation on Soil Bacterial Community: A Case Study in Eastern China

Lin

Liu

et al. 2022

IJERPH

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“…In general terms, groundwater vulnerability to pollution can be assessed considering three types of methods [14]: (i) Geographical Information System (GIS)-based qualitative methods; (ii) process-based methods; and (iii) statistical methods (which encompass artificial intelligence methods). Intrinsic vulnerability can be assessed by using GIS-based qualitative methods and statistical methods.…”

Section: Introductionmentioning

confidence: 99%

“…GIS-based qualitative methods based on the subjective rating of hydrogeological factors are commonly used to evaluate groundwater vulnerability, because these methods are relatively simple to employ, inexpensive, less time-demanding, and are often suitable for application in situations of data scarcity [14,15]. Furthermore, the application of such methods is useful as a decision-making instrument for sustainable management of water resources, as well as for land-use planning.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, the application of such methods is useful as a decision-making instrument for sustainable management of water resources, as well as for land-use planning. However, a number of downsides are pointed out for GIS-based qualitative methods, such as the subjective nature of vulnerability evaluation, the possibility of relying on simplistic hydrogeological characterizations, the lack of a physical basis, and the difficulty of evaluating the accuracy of results, and in many cases, of delimiting areas with different levels of vulnerability to pollution [8,14]. Some of the most common methods are: DRASTIC [16], GOD [17], System for Early Evaluation of Pollution potential from Agricultural Groundwater Environments (SEEPAGE) [18], Aquifer Vulnerability Index (AVI) [19], SINTACS [20,21], EPIK [22], ISIS [23], KARSTIC [24], and Susceptibility Index (SI) [25].…”

Section: Introductionmentioning

confidence: 99%

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An Open Source GIS-Based Application for the Assessment of Groundwater Vulnerability to Pollution

2019

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Groundwater is a crucial natural resource for regular socio-economic function. Groundwater vulnerability to pollution can be assessed through Geographical Information System (GIS)-based qualitative methods. GIS-based tools, dedicated to the assessment of groundwater vulnerability, usually present several limitations, such as high cost, unavailable code, and a lack of functionality concerning the flexible application of vulnerability indices and vulnerability map comparison. The objective of this work was to create a new GIS-based open source application for groundwater vulnerability assessment, GVTool, developed using QGIS software, with the capability of creating and comparing groundwater vulnerability maps considering four different methods: DRASTIC, GOD, SINTACS, and Susceptibility Index (SI). This application incorporates features from a previous tool, DRASTIC Model, and new functionalities were included, namely three additional vulnerability assessment methods, map comparative analysis, map statistics, and index interval reclassification and symbology definition. The GVTool functionalities and capabilities are illustrated through a groundwater vulnerability assessment in Serra da Estrela mountain (Central Portugal). GVTool is mostly useful in integrated assessments, helping to verify if the groundwater vulnerability maps are accurate and to decide which is the most suitable method or the combination of methods to express groundwater vulnerability to pollution in a specific area.

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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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Developing and validating intrinsic groundwater vulnerability maps in regions with limited data: a case study from Datong City in China using DRASTIC and Nemerow pollution indices

Cited by 30 publications

References 15 publications

Effect Mechanism of Land Consolidation on Soil Bacterial Community: A Case Study in Eastern China

Effect Mechanism of Land Consolidation on Soil Bacterial Community: A Case Study in Eastern China

An Open Source GIS-Based Application for the Assessment of Groundwater Vulnerability to Pollution

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

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