Spatio‐temporal analysis of groundwater recharge and mound dynamics in an unconfined aquifer: a GIS‐based approach

Vijay, Ritesh; Panchbhai, Nikhil; Gupta, Alka

doi:10.1002/hyp.6487

Cited by 7 publications

(5 citation statements)

References 12 publications

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“…As highlighted by many authors [50][51][52], hydrogeological modeling using GIS has become a standard for environmental studies and allows for the integration of different spatial variable physiographic datasets (i.e., land cover, geological, morphologic, climatic), largely available in digital format.…”

Section: Discussionmentioning

confidence: 99%

Quantifying Groundwater Resources for Municipal Water Use in a Data-Scarce Region

Borzì

Bonaccorso

2021

Hydrology

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Groundwater is a major source of drinking water worldwide, often considered more reliable than surface water and more accessible. Nowadays, there is wide recognition by the scientific community that groundwater resources are under threat from overexploitation and pollution. Furthermore, frequent and prolonged drought periods due to climate change can seriously affect groundwater recharge. For an appropriate and sustainable management of water systems supplied by springs and/or groundwater withdrawn from aquifers through drilling wells or drainage galleries, the need arises to properly quantify groundwater resources availability, mainly at the monthly scale, as groundwater recharge is influenced by seasonality, especially in the Mediterranean areas. Such evaluation is particularly important for ungauged groundwater bodies. This is the case of the aquifer supplying the Santissima Aqueduct, the oldest water supply infrastructure of the city of Messina in Sicily (Southern Italy), whose groundwater flows are measured only occasionally through spring water sampling at the water abstraction plants. Moreover, these plants are barely maintained because they are difficult to reach. In this study, groundwater recharge assessment for the Santissima Aqueduct is carried out through a GIS-based inverse hydrogeological balance methodology. Although this approach was originally designed to assess aquifer recharge at the annual scale, wherever a model conceptualization of the groundwater system was hindered by the lack of data, in the present study some changes are proposed to adjust the model to the monthly scale. In particular, the procedure for evapotranspiration assessment is based on the Global Aridity Index within the Budyko framework. The application of the proposed methodology shows satisfactory results, suggesting that it can be successfully applied for groundwater resources estimation in a context where monthly information is relevant for water resources planning and management.

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Section: Discussionmentioning

confidence: 99%

Quantifying Groundwater Resources for Municipal Water Use in a Data-Scarce Region

Borzì

Bonaccorso

2021

Hydrology

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“…Position data was collected through Explorsist 210 GPS. This data was imported into geographic information system (GIS) software, allowing spatial aspects to be analyzed with other information to create a map far more complete understanding of a particular situation than might be possible through conventional means [22][23][24][25][26][27]. For this purpose ArcGIS v9.0 version was used.…”

Section: Discussionmentioning

confidence: 99%

Study of Spatial and Temporal Variability of Arsenic in Groundwater Due to Drain by Using Gi

Arslan¹,

Sattar²,

Cường³

et al. 2018

Earth sci. Pak.

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Industrial activity is one of the major reason of groundwater contamination. Arsenic is one, which is responsible for the contamination of the groundwater. Its testing in groundwater is considered as an important activity due to its serious effects on human health. Arsenic problem in Pakistan has been identified recently as a result of field testing. In Faisalabad, arsenic has been found in groundwater within permissible limit. But due to increasing industrial activities the concentration of arsenic is increasing day by day. Drain passing through the city is one of the sources of arsenic in groundwater. The research work was conducted at Syedabbad, Faisalabad. Samples were taken from the selected drain portion and from the groundwater by the help of water pumps. The sampling points were drawn on GIS map by the help of GPS receiver to study the spatial variability of arsenic contamination The results shows that there 10109.9 mg per second intake of arsenic due to drain. Results show that there is no temporal variability of arsenic within the research period but they have spatial variability.

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“…Hydrological GIS and associated hydrological modelling, in particular, has now became a standard for the analysis of numerous subjects, ranging from the identification and characterization of groundwater recharge areas on different scales (Shaban et al, 2006;Minor et al, 2007;Vijay et al, 2007) to the estimation of precipitation/runoff ratio (Storck et al, 1998;Melesse et al, 2003a;Jain et al, 2004), erosion modelling (De Roo, 1998) and study of local climate and microclimate condition patterns (Marquínez et al, 2003;Melesse et al, 2003b). In these fields, GIS has also proved to be very effective in the productive handling of large volumes of data of different types and origin (e.g.…”

Section: Introductionmentioning

confidence: 98%

Using GIS for modelling the impact of current climate trend on the recharge area of the S. Susanna spring (central Apennines, Italy)

Spadoni

Brilli

Giustini

et al. 2009

Hydrological Processes

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Though the S. Susanna spring system is one of the biggest water sources in the central Apennines, its hydrogeological dynamics have been scarcely investigated. This study tried to clarify some of the factors controlling the recharge/discharge processes of this spring by modelling the available climate series, water balance equations and new isotopic and quantitative data, using statistical and raster overlay functions embedded in a Geographic Information System (GIS). Oxygen and hydrogen isotopic data were recorded monthly over a 2-year period at the spring itself and in eight rain gauges in Reatini Mountains. The effective infiltration rate was calculated using the Kennessey coefficients and the Turc equation. Finally, the recharge area was identified with the help of an expert evaluation procedure. Local delta(18)O and delta D versus altitude regression curves were used to validate the digital recharge model by comparing their expected values with the values actually measured. Recharge process was framed within the perspective of the ongoing local climate trends. The current discharge rate of 4.1 m(3).s(-1) is significantly lower than the average value of 5.5 m(3).s(-1) measured up to the 1980s, confirming the fall in the recharge/discharge rate. The hydrogeological system shows a delayed response, due to an average groundwater residence time in the aquifer, which is estimated to be about 15/20 years on the basis of the offset between calculated and observed isotope data at the main spring. For this reason the system is presently not equilibrated and is gradually changing towards a final equilibrium discharge estimated in about 3.4 m(3).s(-1). Copyright (C) 2009 John Wiley & Sons, Ltd

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Spatio‐temporal analysis of groundwater recharge and mound dynamics in an unconfined aquifer: a GIS‐based approach

Cited by 7 publications

References 12 publications

Quantifying Groundwater Resources for Municipal Water Use in a Data-Scarce Region

Quantifying Groundwater Resources for Municipal Water Use in a Data-Scarce Region

Study of Spatial and Temporal Variability of Arsenic in Groundwater Due to Drain by Using Gi

Using GIS for modelling the impact of current climate trend on the recharge area of the S. Susanna spring (central Apennines, Italy)

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