Effects of excessive water extraction on ecosystem service groundwater: Vulnerability assessments using biophysical approaches

2021 ◽  
pp. 149304
Author(s):  
M. Khorrami ◽  
B. Malekmohammadi
Keyword(s):  
Ecosystem Service ◽  
Groundwater Vulnerability ◽  
Water Extraction ◽  
Vulnerability Assessments ◽  
Excessive Water

scholarly journals Groundwater vulnerability assessment to pollution in Kasihan, Bantul Regency: A comparative method study (GOD, SINTACS and DRASTIC)

2020 ◽  
Vol 200 ◽  
pp. 02012
Author(s):  
Ignasius Loyola Setyawan Purnama ◽  
Vincentia Anindha Primacintya
Keyword(s):  
Groundwater Level ◽  
Vulnerability Assessment ◽  
Rock Type ◽  
Comparative Method ◽  
Groundwater Vulnerability ◽  
Vulnerability Index ◽  
Vulnerability Assessments ◽  
Drastic Method ◽  
Groundwater Vulnerability Assessment ◽  
Aquifer Type

Groundwater vulnerability to pollution refers to the ease with which pollutants reach groundwater, in other words indicating the level of ease of an area to experience pollution. At present, the theme is one of the themes that attracts many researchers because pollution is more frequent in an area. The purpose of this study is to assess groundwater vulnerability in the study area for pollution using the GOD method and conduct a study of 3 groundwater vulnerability assessments, to determine the most appropriate assessment to be applied in the study area. The method used to determine groundwater vulnerability to pollution is GOD, which uses three parameters to assess the vulnerability of groundwater, namely aquifer type, rock type above aquifer and groundwater level. Furthermore, the results of the vulnerability assessment using the GOD method are compared with the vulnerability assessment according to the SINTACS and DRASTIC methods that have been carried out before in this area. The results showed that the variation of groundwater vulnerability index values in the study area according to the GOD method was from 0.35 to 0.63. Locations that are classified as medium vulnerability are generally located in the limestone Sentolo Formation, while locations that are classified as high vulnerability class are located in the volcanic rock of Yogyakarta Formation. Noting the results of determining groundwater vulnerability from the three methods, it can be said that the three methods are suitable for assessing groundwater vulnerability in the study area. However, looking at the distribution pattern of the level of pollution, the DRASTIC method can provide more detailed results related to the level of vulnerability.

scholarly journals Optimizing the DRASTIC Method for Nitrate Pollution in Groundwater Vulnerability Assessments: a Case Study in China

2018 ◽  
Vol 27 (1) ◽  
pp. 95-107 ◽  
Author(s):  
Haiyang He ◽  
Xuguang Li ◽  
Xiao Li ◽  
Jian Cui ◽  
Wenjing Zhang ◽  
...  
Keyword(s):  
Groundwater Vulnerability ◽  
Nitrate Pollution ◽  
Vulnerability Assessments ◽  
Drastic Method

Assessing groundwater vulnerability to agrichemical contamination in the Midwest US

1999 ◽  
Vol 39 (3) ◽  
pp. 103-112 ◽  
Author(s):  
Michael R. Burkart ◽  
Dana W. Kolpin ◽  
David E. James
Keyword(s):  
Contaminant Transport ◽  
Groundwater Vulnerability ◽  
Anthropogenic Factors ◽  
National Scale ◽  
Deterministic Models ◽  
Multivariate Statistical ◽  
Indirect Methods ◽  
One Dimensional ◽  
Vulnerability Assessments ◽  
Specific Vulnerability

Agrichemicals (herbicides and nitrate) are significant sources of diffuse pollution to groundwater. Indirect methods are needed to assess the potential for groundwater contamination by diffuse sources because groundwater monitoring is too costly to adequately define the geographic extent of contamination at a regional or national scale. This paper presents examples of the application of statistical, overlay and index, and process-based modeling methods for groundwater vulnerability assessments to a variety of data from the Midwest U.S. The principles for vulnerability assessment include both intrinsic (pedologic, climatologic, and hydrogeologic factors) and specific (contaminant and other anthropogenic factors) vulnerability of a location. Statistical methods use the frequency of contaminant occurrence, contaminant concentration, or contamination probability as a response variable. Statistical assessments are useful for defining the relations among explanatory and response variables whether they define intrinsic or specific vulnerability. Multivariate statistical analyses are useful for ranking variables critical to estimating water quality responses of interest. Overlay and index methods involve intersecting maps of intrinsic and specific vulnerability properties and indexing the variables by applying appropriate weights. Deterministic models use process-based equations to simulate contaminant transport and are distinguished from the other methods in their potential to predict contaminant transport in both space and time. An example of a one-dimensional leaching model linked to a geographic information system (GIS) to define a regional metamodel for contamination in the Midwest is included.

Multi-scale input data assessment for harmonized index-based aquifer vulnerability evaluations across Europe

2021 ◽  
Author(s):  
Stefan Broda ◽  
Keyword(s):  
Cross Sections ◽  
Multiple Scales ◽  
Sea Water ◽  
Groundwater Vulnerability ◽  
Aquifer Vulnerability ◽  
Data Availability ◽  
Individual Vulnerability ◽  
Core Item ◽  
Vulnerability Assessments ◽  
Groundwater Vulnerability Assessment

<p>Work package 7 of the GeoERA HOVER project deals with groundwater vulnerability assessment to pollution of the shallow upper aquifer. We present vulnerability assessments across Europe applying the DRASTIC method in 11 pilot areas and the COP method for karst systems in 5 pilot areas. The presented assessments are carried out at multiple scales (between 1:1K and 1:250K), pilot areas sizes (catchment to national scale; 15 to 338 000 km²) and hydro-climatic contexts (ranging from extremely high and steady recharge to very low and seasonal recharge). The core item of this presentation is a detailed investigation and statistical assessment on respective data availability, data density and methodologies applied to retrieve input parameters for the assessment (e.g., groundwater recharge) and how this affects the final vulnerability assessments. We also focus on the definition (numerical ranges) of the individual vulnerability classes, which are valid across all pilots.</p><p>In an attempt to generate information summarizing affected aquifer volumes, a method based on a lumped index and 2D conceptual cross-sections is proposed. It was originally designed for sea-water intrusion assessments, and has been adapted and applied in some pilot areas to estimate aquifer volumes of each individual vulnerability class.</p>

Assessment of Groundwater Vulnerability – A Case Study

2016 ◽  
Vol 5 (1) ◽  
pp. 1561-1579 ◽  
Author(s):  
Mohamed R. El Tahlawi ◽  
◽  
Mohamed Abo-El Kassem ◽  
Gamal Y. Baghdadi ◽  
Hussein A. Saleem ◽  
...  
Keyword(s):  
Groundwater Vulnerability
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