A GIS-based DRASTIC model for assessing aquifer susceptibility of Safdarabad Tehsil, Sheikhupura District, Punjab Province, Pakistan

Aslam, Bilal; Ismail, Sharjeel; Ali, Ibtisam

doi:10.1007/s40808-020-00735-8

Cited by 22 publications

(10 citation statements)

References 16 publications

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“…Over the time, the scientific literature identified various methodologies for the evaluation of the quality of water resources. Such methods include DRASTIC 20,21 , and methods derived from DRASTIC [22][23][24] . Other authors used digital surface model (DSM) and a point dataset as the sources of observation and target locations for Geospatial analysis of lake scenery 25 .…”

Section: Resultsmentioning

confidence: 99%

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Evaluation of the quality of lentic ecosystems in Romania by a GIS based WRASTIC model

Niculae

Avram

Corpade

et al. 2021

Sci Rep

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Globally, ecosystems are constantly degrading as a result of pressures derived from human activities and climate change. For working towards the restoration of the natural balance, it is necessary to evaluate the deviations induced in the ecosystems, to identify where the changes took place, to know what is their amplitude and to decide where it is possible to get involved. Many aquatic ecosystems are depreciated and their restoration is often difficult. Development of appropriate assessment methodologies will improve the decision-making process in public policies for environmental protection and conservation of biodiversity. This study presents an assessment of the degradation level of lentic ecosystems in Romania, performed through a multi-criteria analysis. An extension of the WRASTIC index (Wastewater-Recreational-Agricultural-Size-Transportations-Indutrial-Cover) was generated, namely WRASTIC-HI. The new index was obtained by including values derived from the Potential Pollutant Load index. The analysis showed that 13% of the evaluated lakes are natural, 56.5% are semi-degraded and 30.5% are degraded. The proposed methodology allows to determine the spatial distribution of the degradation sources and to calculate the corresponding indicators. The results obtained provide a useful tool for diagnostic step that can be used as a cornerstone to further identification of environmental conflicts and proposals for improvement of the ecological status of the lentic ecosystems.

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Section: Resultsmentioning

confidence: 99%

“…Identifying and analyzing the categories of conflicts that may be associated with lentic ecosystems provide the possibility of an efficient ecosystem management 22 , 23 .…”

Section: Resultsmentioning

confidence: 99%

Evaluation of the quality of lentic ecosystems in Romania by a GIS based WRASTIC model

Niculae

Avram

Corpade

et al. 2021

Sci Rep

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“…A GIS-based conventional DRASTIC model was employed in the past to identify polluted zones of the groundwater aquifers [9]. In this research, a similar methodology was used with an additional anthropogenic factor 'A' to assess the impact of anthropogenic actions on the susceptibility of groundwater.…”

Section: Methodsmentioning

confidence: 99%

“…However, in recent times, due to accelerated population increase, agriculture needs, and high manufacturing expectations, the quantity and quality of groundwater sources are failing across the globe [4,[6][7][8]. For the past few years, drinking unclean water has led to major health fears due to a contamination rise in groundwater capital [9][10][11][12]. According to the statistics, contamination of drinking water is responsible for 30% of illnesses and 40% of total deaths [13].…”

Section: Introductionmentioning

confidence: 99%

A GIS-Based Groundwater Contamination Assessment Using Modified DRASTIC Geospatial Technique

Maqsoom

Aslam

Alwetaishi

et al. 2021

Water

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Groundwater contamination along with anthropogenic actions and land use forms are increasing threats in urbanized zones around the world. Additionally, water quality and quantity are declining due to urbanization development. DRASTIC parameters (depth to the water table, net recharge, aquifer media, soil media, topography, impact of the vadose zone, hydraulic conductivity) were considered to investigate hydrological characteristics for assessment of contamination. Having a major effect of anthropogenic activities, various susceptibility zones were produced by modifying the DRASTIC model into DRASTICA, integrating anthropogenic effects as the “A” parameter in an alphabetic system. After the assessment, the research exposes that from the total area, 14% is under very high susceptibility, 44% is of high susceptibility, 39% is of moderate susceptibility, and 3% is of low susceptibility to groundwater pollution. The results in the built-up areas and based on the parameter of nitrate in quality of water show that the altered DRASTIC model or DRASTICA model proved to give better outcomes compared with the usual DRASTIC model. The policy advisers and management authorities must use the analysis data as precaution measures so that future calamities can be avoided.

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“…World land resources are declining day by day due to soil erosion, so much that it has become the main focus of researchers and engineers [1]. Different studies have been carried out for the sustainability of natural habitat [2][3][4][5]. It is a loss of soil rich with nutrients that affects the productivity and sustainability of the original soil [6].…”

Section: Introductionmentioning

confidence: 99%

Effects of Landscape Changes on Soil Erosion in the Built Environment: Application of Geospatial-Based RUSLE Technique

et al. 2020

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The world’s ecosystem is severely affected by the increase in the rate of soil erosion and sediment transport in the built environment and agricultural lands. Land use land cover changes (LULCC) are considered as the most significant cause of sediment transport. This study aims to estimate the effect of LULCC on soil erosion potential in the past 20 years (2000–2020) by using Revised Universal Soil Loss Equation (RUSLE) model based on Geographic Information System (GIS). Different factors were analyzed to study the effect of each factor including R factor, K factor, LS factor, and land cover factor on the erosion process. Maps generated in the study show the changes in the severity of soil loss in the Chitral district of Pakistan. It was found out that 4% of the area was under very high erosion risk in the year 2000 which increased to 8% in the year 2020. An increase in agricultural land (4%) was observed in the last 20 years which shows that human activities largely affected the study area. The outcomes of this study will help the stakeholders and regulatory decision makers to control deforestation and take other necessary actions to minimize the rate of soil erosion. Such an efficient planning will also be helpful to reduce the sedimentation in the reservoir of hydraulic dam(s) constructed on Chitral river, which drains through this watershed.

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A GIS-based DRASTIC model for assessing aquifer susceptibility of Safdarabad Tehsil, Sheikhupura District, Punjab Province, Pakistan

Cited by 22 publications

References 16 publications

Evaluation of the quality of lentic ecosystems in Romania by a GIS based WRASTIC model

Evaluation of the quality of lentic ecosystems in Romania by a GIS based WRASTIC model

A GIS-Based Groundwater Contamination Assessment Using Modified DRASTIC Geospatial Technique

Effects of Landscape Changes on Soil Erosion in the Built Environment: Application of Geospatial-Based RUSLE Technique

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