scholarly journals Modified Index-Overlay Method to Assess Spatial–Temporal Variations of Groundwater Vulnerability and Groundwater Contamination Risk in Areas with Variable Activities of Agriculture Developments

Water ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 2492 ◽  
Author(s):  
Tien-Duc Vu ◽  
Chuen-Fa Ni ◽  
Wei-Ci Li ◽  
Minh-Hoang Truong
Keyword(s):  
Land Use ◽  
Groundwater Contamination ◽  
Agricultural Development ◽  
Groundwater Resources ◽  
Groundwater Vulnerability ◽  
Temporal Variations ◽  
Spatial And Temporal Variation ◽  
Climate Conditions ◽  
Contamination Risk ◽  
Groundwater Basin

The groundwater vulnerability (GV) assessment for contamination is an effective technique for the planning, policy, and decision-making, as well as for sustainable groundwater resource protection and management. The GV depends strongly on local hydrogeological settings and land-use conditions that may vary in response to the activities of agricultural development. In this study, a modified DRASTIC model, which employs an additional factor of land use coupled with the analytic hierarchy process (AHP) theory, was used to quantify the spatial and temporal variation of GV and groundwater contamination risk in the Pingtung groundwater basin. The results show that the GV slightly decreased due to the decrease in agricultural areas under the change of land use over two decades (1995–2017). The yearly changes or a shorter period of observations incorporated with the accurate land-use map in DRASTIC parameters could improve GV maps to obtain a better representation of site-specific conditions. Meanwhile, the maps of yearly contamination risk indicated that the counties of Jiuru and Ligang are at high risk of nitrate pollution since 2016. In other agriculture-dominated regions such as Yanpu, Changzhi, and Gaoshu in the Pingtung groundwater basin, the climate conditions influence less the temporal variations of groundwater contamination risk. The results of this study are expected to support policy-makers to adopt the strategies of sustainable development for groundwater resources in local areas.

Prediction of Future Groundwater Contamination Risk in Rural Agricultural Regions

2021 ◽  
Author(s):  
Elisha Persaud ◽  
Jana Levison
Keyword(s):  
Land Use ◽  
Groundwater Contamination ◽  
Management Practices ◽  
Agricultural Land ◽  
Model Performance ◽  
Agricultural Land Use ◽  
Climate Conditions ◽  
Contamination Risk ◽  
Dynamic Factors ◽  
Study Results

<p>Strategies for understanding regional groundwater contamination risk are often challenged by changing land use and climate conditions. Furthermore, index-based assessment methods are typically implemented in a static manner which inherently precludes possible changes in future contamination risk resulting from these dynamic conditions. It is perhaps equally important to consider the manner in which climate forcing and land use are represented. With regards to land use in particular, rural regions may have unique concerns; agricultural land use is commonly represented as a single land use class despite the complex land management practices that may be present and the subsequent implications for groundwater quality. This investigation demonstrates alteration of the conventional DRASTIC-LU methodology to assess mid-century changes in groundwater contamination risk through the treatment of recharge, depth to water table, and land use as dynamic factors. The potential influence of agricultural land use representation on DRASTIC-LU model performance and prediction is concurrently examined. The Upper Parkhill watershed in southwestern Ontario, Canada is explored as a case study for method application. Study results indicate that the inclusion of crop rotation and tile drainage data has the potential to improve model functioning. Moreover, predicted future changes in groundwater contamination risk may differ depending on the manner in which agricultural land use is represented. This investigation helps to resolve the influence of land use on groundwater contamination risk and provides a screening tool that may be used to support groundwater decision making.</p>

scholarly journals Using intrinsic vulnerability and anthropogenic impacts to evaluate and compare groundwater risk potential at northwestern and western coastal aquifers of Sri Lanka through coupling DRASTIC and GIS approach

2021 ◽  
Vol 11 (7) ◽  
Author(s):  
Ratha Phok ◽  
Nandalal Kosgallana Duwage Wasantha ◽  
Weerakoon Sumana Bandara ◽  
Pitawala Herath Mudiyanselage Thalapitiye Ge ◽  
Dharmagunawardhane Hingure Arachchilage
Keyword(s):  
Sri Lanka ◽  
Groundwater Contamination ◽  
Anthropogenic Impacts ◽  
Shallow Groundwater ◽  
Monitoring Network ◽  
Groundwater Vulnerability ◽  
Moderate Risk ◽  
Pollution Risk ◽  
Intrinsic Vulnerability ◽  
Contamination Risk

AbstractGroundwater vulnerability assessment has become a crucial step in successfully protecting groundwater against pollution. An attempt of this study has been made to evaluate groundwater contamination risk using intrinsic vulnerability and land-uses in Vanathavillu, Kalpitiya and Katana area in Sri Lanka, using coupled DRASTIC with GIS as feasible methodology. The findings reveal that the groundwater in the areas under study falls under very low to high contamination risk. The higher risk of contamination has been identified in most of the Kalpitiya (about 82%) with the moderate along the beach in the west and next to Puttalam lagoon in the northeast and southeast. This is mainly due to pollution risk inherent with intense vegetable cultivation, over pumping, shallow groundwater tables and permeable sandy soil. Vanathavillu is under very low to moderate contamination risk, in which the moderate risk (about 13%) has especially been found the center, central southwest and west of the area. The relative less deep groundwater tables, possible seepage from the underlying limestone aquifer and less permeable red earth soil could be cause for the moderate risk in the area. Furthermore, results show that the Katana has low to moderately high groundwater contamination risk. Nitrate has a good agreement with the different pollution risk classes and that nitrate can be used as an indicator of aquifer degradation inherent with land-use activities in the coastal areas. Groundwater quality monitoring network should be set up to minimize the anthropogenic acts, particularly in high and moderate contamination risk zones.

scholarly journals Agriculture and land use in the North of Russia: Case study of Karelia and Yakutia

2020 ◽  
Vol 12 (1) ◽  
pp. 1497-1511
Author(s):  
Alexey Naumov ◽  
Varvara Akimova ◽  
Daria Sidorova ◽  
Mikhail Topnikov
Keyword(s):  
Land Use ◽  
Agricultural Development ◽  
Agricultural Land ◽  
Geographical Location ◽  
Special Role ◽  
Sources Of Information ◽  
Local Conditions ◽  
Climate Conditions ◽  
The North ◽  
The Republic

AbstractDespite harsh climate, agriculture on the northern margins of Russia still remains the backbone of food security. Historically, in both regions studied in this article – the Republic of Karelia and the Republic of Sakha (Yakutia) – agricultural activities as dairy farming and even cropping were well adapted to local conditions including traditional activities such as horse breeding typical for Yakutia. Using three different sources of information – official statistics, expert interviews, and field observations – allowed us to draw a conclusion that there are both similarities and differences in agricultural development and land use of these two studied regions. The differences arise from agro-climate conditions, settlement history, specialization, and spatial pattern of economy. In both regions, farming is concentrated within the areas with most suitable natural conditions. Yet, even there, agricultural land use is shrinking, especially in Karelia. Both regions are prone to being affected by seasonality, but vary in the degree of its influence. Geographical location plays special role, and weaknesses caused by remoteness to some extent become advantage as in Yakutia. Proximity effect is controversial. In Karelia, impact of neighboring Finland is insignificant compared with the nearby second Russian city – Saint Petersburg.

scholarly journals MULTI-TEMPORAL ANALYSIS OF LAND USE AND VEGETATION COVER IN SÃO FRANCISCO DO SUL AND ITAPOÁ, SANTA CATARINA STATE - BRAZIL: IMPLICATIONS TO GROUNDWATER CONTAMINATION

2021 ◽  
Vol XLIII-B3-2021 ◽  
pp. 305-311
Author(s):  
A. C. S. J. V. Ferreira ◽  
L. S. Osako
Keyword(s):  
Land Use ◽  
Groundwater Contamination ◽  
Vegetation Cover ◽  
Groundwater Vulnerability ◽  
Temporal Analysis ◽  
Bare Soil ◽  
Unconsolidated Sediments ◽  
Northern Coast ◽  
Santa Catarina ◽  
Urbanized Area

Abstract. By means of the multitemporal approach, we analyze the changes in land use and vegetation cover in the São Francisco do Sul and Itapoá municipalities, located in the northern coast of the State of Santa Catarina, Brazil. LANDSAT satellite images from 1991 to 2019 were analyzed and classified into four classes of soil use and occupation (vegetated area, bare soil, urbanized area, and water body) by the GEOBIA method. Weighted sum analysis was applied to the ‘urbanized area’ class and the data available on geologic units, so as to identify areas vulnerable to groundwater contamination. The vegetated areas of São Francisco do Sul and Itapoá have diminished along the 2000’s, but recovery measures, such as reforesting and restraint of soil exposure, have been adopted, with 89.61% success. The urban zone has increased 3.36% in the last 28 years. The achieved overall accuracy for the classification was of 79.33% and the Kappa coefficient was 0.69. The analysis of groundwater vulnerability to contamination helped identify regions more susceptible to pollution, which coincide almost entirely with those where urbanization was more intense in areas where unconsolidated sediments predominate.

An Agricultural Decision Support System for Optimal Land Use Regarding Groundwater Vulnerability

2010 ◽  
Vol 1 (4) ◽  
pp. 66-79 ◽  
Author(s):  
Konstantinos Voudouris ◽  
Maurizio Polemio ◽  
Nerantzis Kazakis ◽  
Angelo Sifaleras
Keyword(s):  
Land Use ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Socioeconomic Development ◽  
Groundwater Resources ◽  
Land Use Changes ◽  
Groundwater Vulnerability ◽  
Alluvial Deposits ◽  
Groundwater Vulnerability Assessment

The availability of quality water is a basic condition of socioeconomic development. The agriculture water demand can be damaged by contamination of groundwater resources. This paper proposes a tool to preserve groundwater quality by using groundwater vulnerability assessment methods and a decision support system (DSS). The mapping of intrinsic groundwater vulnerability was based on reliable methods, the DRASTIC and the SINTACS methods. A DSS was developed to assess the groundwater vulnerability and pollution risk due to agricultural activities and land use changes. The proposed DSS software package was designed using the Matlab language and efficiently performs tasks while incorporating new maps to cover new areas. The tool was tested at two study areas located in the Mediterranean that are dominated by different prevalent hydrogeological features, that is, the typical porous features of alluvial deposits in the Greek study area and the typical fissured and karstic features of limestones and dolostones in the Italian study area.

An Agricultural Decision Support System for Optimal Land Use Regarding Groundwater Vulnerability

2012 ◽  
pp. 454-466
Author(s):  
Konstantinos Voudouris ◽  
Maurizio Polemio ◽  
Nerantzis Kazakis ◽  
Angelo Sifaleras
Keyword(s):  
Land Use ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Socioeconomic Development ◽  
Groundwater Resources ◽  
Land Use Changes ◽  
Groundwater Vulnerability ◽  
Groundwater Vulnerability Assessment ◽  
Karstic Features

The availability of quality water is a basic condition of socioeconomic development. The agriculture water demand can be damaged by contamination of groundwater resources. This paper proposes a tool to preserve groundwater quality by using groundwater vulnerability assessment methods and a decision support system (DSS). The mapping of intrinsic groundwater vulnerability was based on reliable methods, the DRASTIC and the SINTACS methods. A DSS was developed to assess the groundwater vulnerability and pollution risk due to agricultural activities and land use changes. The proposed DSS software package was designed using the Matlab language and efficiently performs tasks while incorporating new maps to cover new areas. The tool was tested at two study areas located in the Mediterranean that are dominated by different prevalent hydrogeological features, that is, the typical porous features of alluvial deposits in the Greek study area and the typical fissured and karstic features of limestones and dolostones in the Italian study area.

scholarly journals Anthropic Pollution Impacts on Groundwater Vulnerability Based on Modified DRASTIC-FAHP

2021 ◽  
Author(s):  
Mohammad Reza Goodarzi ◽  
Amirreza R. Niknam ◽  
Vahid Jamali ◽  
Hamid Reza Pourghasemi ◽  
Mahboobeh Kiani-Harchegani
Keyword(s):  
Land Use ◽  
Nitrate Concentration ◽  
Groundwater Resources ◽  
Pearson Correlation ◽  
Groundwater Vulnerability ◽  
Vulnerability Index ◽  
Linear Regression Method ◽  
Drastic Model ◽  
Modified Drastic ◽  
Hierarchy Process

Abstract In arid and semi-arid regions such as Iran, groundwater is more important for humans and ecosystems than surface water. Different models of groundwater vulnerability assessment can be used to better manage water resources. The purpose of this study is to evaluate the qualitative vulnerability of groundwater resources in the Birjand Plain aquifer using the DRASTIC model and 7 hydrogeological components. DRASTIC model was also modified by adding a land use component (MDRASTIC) based on Analytical Hierarchy Process (AHP) and Fuzzy Analytic Hierarchy Process (FAHP) methods. After calculating the vulnerability index, the vulnerability of each method was mapped and the final index obtained from each method was classified into 4 different categories. Nitrate concentration was used to confirm the results and to analyze the sensitivity of a single parameter. Sensitivity analysis showed that the groundwater vulnerability is mainly affected by water depth and land use. To validate each of the models, their correlation with nitrate concentration was calculated and compared. To determine the correlation coefficient, simple linear regression method was performed and the Pearson and Spearman methods were used. According to the obtained Pearson correlation results, the DRASTIC, MDRASTIC, MDRASTIC-AHP, and MDRASTIC-FAHP models resulted in values of 0.550, 0.680, 0.778, and 0.794respectively. The results show a good correlation between the modified DRASTIC-FAHP model and nitrate concentration as an indicator of groundwater pollution.

scholarly journals Assessment of Groundwater Contamination Hazard by Nitrate in Samas Area, Bantul District, Yogyakarta, Indonesia

2017 ◽  
Vol 2 (1) ◽  
pp. 36 ◽  
Author(s):  
Thilavanh Souvannachith ◽  
Doni Prakasa Eka Putra ◽  
Heru Hendrayana
Keyword(s):  
Groundwater Contamination ◽  
Water Samples ◽  
Groundwater Resources ◽  
Shallow Groundwater ◽  
Groundwater Vulnerability ◽  
Nitrate Contamination ◽  
High Class ◽  
Settlement Area ◽  
Groundwater Samples ◽  
Potential Map

Groundwater resource is an essential for various purposes in Bantul district, Yogyakarta Special Province, Indonesia, especially on Poncosari village where the water supply are depending on shallow groundwater resources. On this village, most of the houses using dug wells to provide their water needs and applying inappropriate on-site sanitation system, however there are also difference land uses. This condition increase the hazard of groundwater contamination by fecal coli bacteria and nitrate. Therefore, this research aims in term of three main objectives: firstly, to know the level of nitrate concentration in groundwater, secondly, to assess groundwater vulnerability and thirdly, to assess the level of groundwater contaminant hazard. Hydrogeology observation was conducted and 47 water samples (44 groundwater samples and 3 surface water samples) were collected from different land use type and analyze for nitrate (NO 3) content. Methodology used to assess the groundwater vulnerability was Simple Vertical Vulnerability method and the groundwater contamination hazard built based on the combination of groundwater vulnerability and nitrate loading potential map. Results show that groundwater concentrations of nitrate range from 0.09–74.80 mg/L and the highest concentration found in the settlement area. Assessment of groundwater vulnerability reveals three areas of moderate, moderate high and high classes of vulnerability due to shallow groundwater and the sandy dominated overlying material in the study area. Combination of groundwater vulnerability and nitrate loading potential map indicated that groundwater contaminant hazard of nitrate range from low to high class. High class of hazard located in the settlement area, and low hazard of nitrate contamination found in the irrigated rice field area

An Agricultural Decision Support System for Optimal Land Use Regarding Groundwater Vulnerability

2012 ◽  
pp. 274-286
Author(s):  
Konstantinos Voudouris ◽  
Maurizio Polemio ◽  
Nerantzis Kazakis ◽  
Angelo Sifaleras
Keyword(s):  
Land Use ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Socioeconomic Development ◽  
Groundwater Resources ◽  
Land Use Changes ◽  
Groundwater Vulnerability ◽  
Groundwater Vulnerability Assessment ◽  
Karstic Features

The availability of quality water is a basic condition of socioeconomic development. The agriculture water demand can be damaged by contamination of groundwater resources. This paper proposes a tool to preserve groundwater quality by using groundwater vulnerability assessment methods and a decision support system (DSS). The mapping of intrinsic groundwater vulnerability was based on reliable methods, the DRASTIC and the SINTACS methods. A DSS was developed to assess the groundwater vulnerability and pollution risk due to agricultural activities and land use changes. The proposed DSS software package was designed using the Matlab language and efficiently performs tasks while incorporating new maps to cover new areas. The tool was tested at two study areas located in the Mediterranean that are dominated by different prevalent hydrogeological features, that is, the typical porous features of alluvial deposits in the Greek study area and the typical fissured and karstic features of limestones and dolostones in the Italian study area.

Mapping Groundwater Vulnerability and Risk of hydro-carbon Contamination in a Semi-Arid Region

2020 ◽  
Author(s):  
Zaharatu Babika ◽  
Thomas Kjeldsen ◽  
Lee bryant
Keyword(s):  
Groundwater Contamination ◽  
Vulnerability Assessment ◽  
Large Scale ◽  
Groundwater Resources ◽  
Groundwater Vulnerability ◽  
Assessment Tools ◽  
Hydrocarbon Contamination ◽  
Geographical Information ◽  
Anthropogenic Factors ◽  
Semi Arid

<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>

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