Research on GIS-Based Groundwater Pollution Vulnerability Assessment in Chengting New District, China

2012 ◽  
Vol 518-523 ◽  
pp. 2762-2765
Author(s):  
Li Ping Bai ◽  
Bin Gong ◽  
Xiao Li Gan ◽  
Yun Luo

Groundwater is an important component of water resources. Compared with surface water, groundwater has slower flow rate and lower capacity of diluting and self-purification. It is difficult to treat the groundwater pollution. Therefore, it is important to protect the groundwater from being polluted for planning and management of groundwater resources. It is considered as an effective method for decision makers and administrators to identify the high risk level of groundwater pollution through groundwater pollution vulnerability assessment. In this study, the most widely used DRASTIC model and GIS software were used to evaluate the groundwater vulnerability of Chengting new district in Shijiazhuang, china. The groundwater vulnerability grades of the study area were divided by the model. The research results could provide scientific basis for the new district planning and construction.

2020 ◽  
Vol 53 (2E) ◽  
pp. 12-24
Author(s):  
Madyan Al-Gburi

Several studies and assessments have been conducted of areas exposed to pollution, especially areas that contain aquifer. The final extraction of the vulnerability map of the groundwater was constructed through the use of the DRASTIC method by applying the linear equation of the seven coefficients in the Arc GIS software program (Version 10.4). The aim of the study to assess aquifer vulnerability to pollution. Results, vulnerability map range between 75-126 (very low, low, and medium), the study area consists of very low and low vulnerability, except some areas medium vulnerability close to the center of the sub-basin in the standard vulnerability map (s) and 91-149 (very low, low, and medium) for the agriculture or pesticide vulnerability map (p), the medium vulnerability occupies a greater area the center of the sub-basin.


Geosciences ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 228
Author(s):  
Teresa Albuquerque ◽  
Natália Roque ◽  
Joana Rodrigues ◽  
Margarida Antunes ◽  
Catarina Silva

Groundwater vulnerability assessment has become a useful tool for groundwater pollution prevention. Groundwater vulnerability maps provide useful data for protecting groundwater resources. Identification of agricultural patterns is an important issue for optimized land management. The watershed of the Tagus River is the backbone of this study. Naturtejo UNESCO Global Geopark, in the central interior of Portugal, corresponds to a rural area. Intensive agricultural practices showed an increasing trend in the last decades. The method that is most used internationally to assess vulnerability is the DRASTIC index. In this study, the DRASTICAI index is introduced. A new attribute—anthropogenic influence—is added here. Five levels of increasing vulnerability, from low to high, can be recognized here. The municipality of Idanha-a-Nova is most affected by intensive agricultural activities, showing spatial patterns of DRASTICAI with a clear influence of anthropogenic activities, with high needs for groundwater abstraction. A robust assessment of groundwater quality has a key role. Climate change scenarios and water scarcity are important issues in the coming years, and particularly in the studied area. Therefore, optimized groundwater management is essential to consider in policy-making strategies.


2013 ◽  
Vol 13 (2) ◽  
pp. 368-375 ◽  
Author(s):  
Liping Bai ◽  
Yeyao Wang ◽  
Huina Fang ◽  
Li Liu ◽  
Youya Zhou ◽  
...  

Current research on groundwater vulnerability is aimed mainly at groundwater pollution vulnerability (GPV), and the vulnerability of groundwater quantity is seldom considered. It is important to carry out the groundwater vulnerability evaluation for the management of groundwater resources. This paper presents evaluation models and methods for assessing groundwater quantity and pollution vulnerability. The models and methods were used to evaluate the groundwater vulnerability in the plain area of Baotou, Inner Mongolia, China. The groundwater quantity vulnerability was assessed by computing the groundwater recharge rate, and the GPV was evaluated by simulating the migration time for pollutants traveling from ground surface to the aquifer. The research results could provide scientific support for the management of regional groundwater resources, prevention and control of groundwater pollution.


Author(s):  
Teresa Albuquerque ◽  
Natália Roque ◽  
Joana Rodrigues ◽  
Margarida Antunes ◽  
Catarina Silva

Groundwater vulnerability assessment has become a useful tool for groundwater pollution pre-vention. Groundwater vulnerability maps provide useful data to protect groundwater resources. The identification of agricultural patterns is an important issue for optimized land management. The Tagus river watershed is the backbone of this survey. Naturtejo UNESCO Global Geopark, in central inland Portugal, corresponds to a rural territory. Intensive agricultural practices showed a rising tendency in the last decades. The most internationally used method for vulnerability evaluation is the DRASTIC index. In this survey, the DRASTICAI index is introduced. A new at-tribute - Anthropogenic Influence - is here added. Five levels of growing vulnerability, from low to high, can be here acknowledged. Idanha-a-Nova municipality is the most affected by intensive farming activities. A robust assessment of groundwater quality has a key role. Climate change scenarios and water scarcity are important issues in years to come. Therefore, optimized groundwater management is essential to consider in policy-making strategies.


Author(s):  
Halake Guyo Rendilicha

Groundwater represents 95% of the world’s unfrozen freshwater. The use of groundwater has significantly increased over the past 50 years and is expected to rise in future due to its high reliability during drought seasons, good quality, generally modest development costs and continuous depletion of surface water. Groundwater pollution is becoming a major threat to fresh groundwater availability and sustainability. The deteriorating groundwater quality and increasing contamination poses detrimental risk to human health and ecosystem in many ways, thereby necessitating the need to study the groundwater vulnerability assessment as a preventive strategy to protect the groundwater from surface pollution. The concept of groundwater vulnerability assessment is dated back in 1970s and applied in many developed countries as an environmental tool used for proper land use planning and decision making without jeopardizing groundwater quality.  This paper is a detail review of available literature on the study of groundwater vulnerability assessment in Kenya. The paper revealed that, the vulnerability assessment concept has not been applied as a mechanism to prevent groundwater pollution, hence rarely used in guiding land use planning in Kenya. This review brings to limelight the importance of groundwater vulnerability assessment in management and protection of groundwater resources in Kenya.*Corresponding author; Email:[email protected] Mobile: 0710953283.1. Soil, Water and Environmental Engineering Department Jomo Kenyatta University of Agriculture and Technology, Kenya


2020 ◽  
Author(s):  
Zaharatu Babika ◽  
Thomas Kjeldsen ◽  
Lee bryant

<p>Groundwater is a scarce yet vital resource in many arid and semi-arid regions of the world. where it serves as water supply for a majority of the population. The quality of this resource is depreciating, however due to pollution levels reaching intolerable limits as a result of unplanned urbanization and industrialization. In this study, the capabilities of two commonly used groundwater vulnerability models, DRASTIC and GOD, are assessed for correctly classifying the risk of hydrocarbon pollution within the city of Kano, located in semi-arid northern Nigeria. Most existing groundwater vulnerability assessment tools have been developed for use in Europe and North America under generally humid conditions; conversely, vulnerability assessment of groundwater in arid and semi-arid is much less developed.<br> Combined analysis of large-scale existing data sources on hydro-meteorological, environmental and anthropogenic factors will be used to evaluate the vulnerability of groundwater resources in Kano, a city of ~4 million people within 137 square kilometres.  In this study, the two models (DRASTIC and GOD) are assessed based on data provided by Nigerian water resources administrations and obtained via field monitoring to detect areas that are vulnerable to groundwater contamination based on the hydrogeological structure and local sources of hydrocarbon contamination. Several groundwater contamination sources have been identified such as automobile shops, household dumpsites, and petrol dispensing stations.Mapping of environmental factors was conducted within the framework of Geographical information systems (GIS), and  preliminary results show a range of very high to moderate vulnerability classes exist within the build-up areas of Kano. A sensitivity evaluation of the various parameters required for each of these models has also been performed to identify the controlling parameters within this semi-arid environment. Building on these results, the next phase of this research will focus on development of a modified vulnerability model based on these identified controlling parameters and model validation using field observations.</p>


2020 ◽  
Vol 51 (5) ◽  
pp. 1184-1200
Author(s):  
Bin Wang ◽  
Yanguo Teng ◽  
Huiqun Wang ◽  
Rui Zuo ◽  
Yuanzheng Zhai ◽  
...  

Abstract The Songnen Plain in Northeast China is the only remaining black soil agricultural area in the world and is an important food base for China. The groundwater resources in this area are abundant, but human activities have caused them polluted. This paper established a groundwater vulnerability assessment to characterize the influence of human activities which used an entropy weight method. The index was tested using the nitrate pollution distribution in the groundwater to verify the effectiveness of this method. The results showed that areas with high specific vulnerability were distributed in the northern and eastern parts of the Songnen Plain and were consistent with areas that showed serious nitrate pollution of the groundwater. The correlation coefficient between these areas was 0.2536, which greatly improved the vulnerability assessment without superimposing human activities in the model. The results clearly showed that human activities increased groundwater vulnerability on the Songnen Plain. The evaluation method provided a reference for similar evaluations and a basis for the protection and management of groundwater resources in this region.


Water ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1288
Author(s):  
Husam Musa Baalousha ◽  
Bassam Tawabini ◽  
Thomas D. Seers

Vulnerability maps are useful for groundwater protection, water resources development, and land use management. The literature contains various approaches for intrinsic vulnerability assessment, and they mainly depend on hydrogeological settings and anthropogenic impacts. Most methods assign certain ratings and weights to each contributing factor to groundwater vulnerability. Fuzzy logic (FL) is an alternative artificial intelligence tool for overlay analysis, where spatial properties are fuzzified. Unlike the specific rating used in the weighted overlay-based vulnerability mapping methods, FL allows more flexibility through assigning a degree of contribution without specific boundaries for various classes. This study compares the results of DRASTIC vulnerability approach with the FL approach, applying both on Qatar aquifers. The comparison was checked and validated against a numerical model developed for the same study area, and the actual anthropogenic contamination load. Results show some similarities and differences between both approaches. While the coastal areas fall in the same category of high vulnerability in both cases, the FL approach shows greater variability than the DRASTIC approach and better matches with model results and contamination load. FL is probably better suited for vulnerability assessment than the weighted overlay methods.


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