scholarly journals Groundwater vulnerability assessment and mapping in shallow groundwater

2021 ◽  
Vol 926 (1) ◽  
pp. 012047
Author(s):  
K Aribowo ◽  
W Wilopo ◽  
D H Barianto

Abstract The increasing population density can contaminate groundwater. So far, groundwater is still the primary source to fulfill clean water and drinking water in Muntilan, Salam, and Ngluwar Sub-District. Studies on groundwater vulnerability are essential to minimize the contamination risks as a piece of basic information for land use planning. This research aims to assess groundwater vulnerability in Muntilan, Salam, and Ngluwar Sub-District. The simple vertical vulnerability (SVV) method with GIS was selected to develop a groundwater vulnerability map. The parameters of this method consist of the type of soil/rock, the thickness of the water-unsaturated zone, and the recharge value. The results show that the research area can be divided into three vulnerability classes: very low, moderate, and high groundwater vulnerability. Very low groundwater vulnerability has a value of more than 70 with very high protection effectiveness. The class is distributed in Muntilan and Salam Sub-Districts. Moderate groundwater vulnerability has a value less than 35 to 65 with moderate protection effectiveness, and high groundwater vulnerability has a value ranging from 24 to 35 with low protection effectiveness. Both of the class is evenly distributed in Muntilan, Ngluwar and Salam Sub-Districts.

2013 ◽  
Vol 726-731 ◽  
pp. 1217-1223
Author(s):  
Hai Yan Zhang ◽  
Jian Wei Zhou ◽  
Jun Zhang ◽  
Wen Xu ◽  
De Qiang Zhang ◽  
...  

Dating and tracing young groundwater with sulfur hexafluoride (SF6) is a new technology developed several years ago. To study the origin, evolution of shallow groundwater in the core area of Daqing Oilfield, and to analysis the relationship between groundwater migration and groundwater vulnerability, the age of shallow groundwater was calculated using SF6dating technology. The result shows that, (1) the SF6age can indicate groundwater flow conditions of research area, (2) the general trend of SF6age is getting old from the north to the south, (3) the SF6age of most areas is good consistent to the groundwater vulnerability.


Author(s):  
Stefania Stevenazzi ◽  
Marco Masetti ◽  
Giovanni Pietro Beretta

Groundwater is among the most important freshwater resources. Worldwide, aquifers are experiencing an increasing threat of pollution from urbanization, industrial development, agricultural activities and mining enterprise. Thus, practical actions, strategies and solutions to protect groundwater from these anthropogenic sources are widely required. The most efficient tool, which helps supporting land use planning, while protecting groundwater from contamination, is represented by groundwater vulnerability assessment. Over the years, several methods assessing groundwater vulnerability have been developed: overlay and index methods, statistical and process-based methods. All methods are means to synthesize complex hydrogeological information into a unique document, which is a groundwater vulnerability map, useable by planners, decision and policy makers, geoscientists and the public. Although it is not possible to identify an approach which could be the best one for all situations, the final product should always be scientific defensible, meaningful and reliable. Nevertheless, various methods may produce very different results at any given site. Thus, reasons for similarities and differences need to be deeply investigated. This study demonstrates the reliability and flexibility of a spatial statistical method to assess groundwater vulnerability to contamination at a regional scale. The Lombardy Plain case study is particularly interesting for its long history of groundwater monitoring (quality and quantity), availability of hydrogeological data, and combined presence of various anthropogenic sources of contamination. Recent updates of the regional water protection plan have raised the necessity of realizing more flexible, reliable and accurate groundwater vulnerability maps. A comparison of groundwater vulnerability maps obtained through different approaches and developed in a time span of several years has demonstrated the relevance of the continuous scientific progress, recognizing strengths and weaknesses of each research.


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.


2016 ◽  
Vol 18 (3) ◽  
Author(s):  
ANANI TAWA ABENAN ◽  
KOUAME KAN JEAN ◽  
SALEY MAHAMAN BACHIR ◽  
ANOH KOUAO ARMAND ◽  
DEH KOUAKOU SERGE ◽  
...  

<p>This study focuses on the mapping of vulnerable areas to agricultural pollution of Bonoua area where groundwater are envisaged to support the District of Abidjan. Thus to achieve this, the methodological approach adopted involve the use of GIS functionality combined with multi-criteria analysis method. The analysis of groundwater vulnerability map to nitrate in the region of Bonoua highlights five vulnerability classes ranging from very low to very high. The class of "medium vulnerability" is the most dominant and represents 44.21% of the mapped areas. This vulnerability map was validated using the measured nitrate levels in groundwater.</p>


2021 ◽  
Author(s):  
Ata Omer Salih ◽  
Diary Ali Al-Manmi

Abstract Groundwater has never been heavily relied on as a water source in Northern Iraq as it has been in the last two decades due to the rapid and often unplanned urbanization, industrial and agricultural projects. This paper attempts to present a concise groundwater vulnerability assessment of Rania basin to the local and regional planning authorities to ensure a more sustainable development in the area. The focus of the study is the Rania basin, which is a part of Dokan sub-basin in North East Iraq. The initial groundwater vulnerability assessment is mapped with standard DRASTIC model. It is then modified by adding “Lineament Density Index” to the original seven DRASTIC parameters due to the previously established close relationship between flow and yield of groundwater with lineament. The area is categorized into five vulnerability index zones of; very low (26%), low (32%), medium (31%), high (11%) and very high (0.012%). The modified model offeres a slightly different vulnerability classification of; very low (16.61%), low (35.45%), medium (30.32), high (17.57) and very high (0.05%). Measured Nitrate concentration is used to validate the assessment results. A progressive increase in nitrate concentration somehow reflects the different vulnerability zones identified by the DRASTIC models in the area. Samples of wet season show 15.96 mg/l, 17.68 mg/l and 20.1 mg/l for very low vulnerability, low vulnerability and medium vulnerability zones when classified by modified DRASTIC model.


2020 ◽  
pp. 63-69
Author(s):  
Maureen Nettie Linan ◽  
Bobby Gerardo ◽  
Ruji Medina

Assessment of groundwater vulnerability to contamination plays a vital role in the utilization and protection of groundwater resource. In this study, a vulnerability map for Boracay Island, Philippines was developed using a modified self-organizing map algorithm to determine groundwater vulnerability in light of massive tourism developments in the island. Self-organizing map using the Nguyen-Widrow initialization algorithm was used to cluster DRASTIC data which were pre-processed using data cleaning normalization schemes. The vulnerability map developed showed that groundwater resource in the island is susceptible to contamination as confirmed by groundwater quality analysis. The result of the study demonstrates the effectiveness of the improved SOM algorithm as a tool for assessment of groundwater vulnerability and is comparable with the traditional DRASTIC method. The developed methodology allows grouping of datasets into clusters that represent the level of vulnerability to contamination of the groundwater. Further, this approach can be applied to other islands to ensure the balance between tourism developments and ecological integrity of the scarce groundwater resource.


2019 ◽  
Vol 9 (8) ◽  
Author(s):  
Balal Oroji

Abstract Vulnerability assessment to delineate areas that are more susceptible to contamination from anthropogenic sources has become an important element for sensible resource management and land use planning. It has been recognized for its ability to delineate areas that are more likely than others to become contaminated as a result of anthropogenic activities near the earth’s surface. The main methods of mapping and assessing intrinsic vulnerability in porous media are the following: SI, GOD, SINTACS and DRASTIC. The basic purpose of these maps is to divide an area into more classes, each of which will represent a different dynamic for a specific purpose and use. These models have been used to map groundwater vulnerability to pollution in Hamadan–Bahar aquifer. The results showed in models of DRASTIC, SI, GOD and SINTACS, respectively, 7.1, 44.21, 29.56 and 20.16 percent of the areas are high potential vulnerabilities. According to the model DRASTIC at study area, 33.6% of has a low class of groundwater vulnerability to contamination, whereas a total of 29.4% of the study area has a moderate vulnerability. The final results indicate that the aquifer system in the interested area is relatively protected from contamination on the groundwater surface. The correlation between models shows that DRASTIC model has the highest CI, which is 141, and the GOD model has the highest CI, which is 139. Also, the highest CI for SINTACS and SI is 137 and 136, respectively. Therefore, DRASTIC model is the best model among these models for predicting groundwater vulnerability in Hamadan–Bahar plain aquifer.


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