Evaluating the impact of artificial groundwater recharge structures using geo-spatial techniques in the hard-rock terrain of Rajasthan, India

Kumar, Sanjay; Bhadra, B. K.; Paliwal, Rakesh

doi:10.1007/s12665-017-6953-6

Cited by 7 publications

(3 citation statements)

References 17 publications

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“…The results are consistent with those obtained in SWRs built for artificial recharge [25,89] which, according to the review of Habets et al [19] are higher than 5 mm/day. These results are much lower than those obtained by Bouteffeha et al [88], i.e., 8 mm/day in the SWRs used for irrigation in Tunisia.…”

Section: Estimation Of Focused Rechargesupporting

confidence: 91%

Quantifying Focused Groundwater Recharge Induced by Irrigation Surface Water Reservoirs in Crystalline Basement Areas for Complementary Irrigation

Bambara

Orban

Ouédraogo

et al. 2020

Water

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Through the practice of irrigation, surface water reservoirs (SWRs) contribute to the socio-economic development and food production activities of populations in Sub-Saharan Africa (SSA). However, they tend to dry up prematurely. One solution to circumvent these irrigation water shortages is to ensure their conjunctive use with groundwater. The objective of this study is to better understand the contribution of SWRs to groundwater recharge and to determine if groundwater may be considered as a complementary local resource for irrigation. The study was carried out on two watersheds in Burkina Faso, Kierma and Mogtedo. The spatiotemporal analysis of piezometric and SWRs level records coupled with physico-chemical analyses of water was used to characterize exchanges between SWRs and groundwater. The regional groundwater recharge at the scale of the watersheds was assessed. At the SWRs scale, a water balance methodology was developed and used to estimate focused recharge. The results show that SWRs interact almost continuously with groundwater and contribute focused recharge. The magnitude of this recharge is a function of the geological context and the sediment texture of the SWRs. It is estimated at 5 mm/day in Kierma and 4 mm/day in Mogtédo. These values are higher than the natural recharge estimated at 0.2 mm/day in Kierma and 0.1 mm/day in Mogtédo. Additionally, the values of hydraulic conductivity are between 0.01 and 2 m/day in Kierma and between 1 × 10−4 and 0.2 m/day in Mogtédo. These conductivities could allow pumping in large-diameter hand-dug wells with a significant yield between 0.5 and 120 m3/day in Kierma and between 0 and 10 m3/day in Mogtédo to palliate the early drying up of the SWRs.

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Section: Estimation Of Focused Rechargesupporting

confidence: 91%

Quantifying Focused Groundwater Recharge Induced by Irrigation Surface Water Reservoirs in Crystalline Basement Areas for Complementary Irrigation

Bambara

Orban

Ouédraogo

et al. 2020

Water

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“…The best‐fit model is selected based on four goodness‐of‐fit criteria, that is, mean error (ME), root mean square error (RMSE), mean standardized error (MSE) and root mean square standardized error (RMSSE). The acceptable values of the goodness‐of‐fit criteria are: (i) ME and MSE should be near to zero, (ii) RMSE should be as small as possible, (iii) RMSSE should be nearest to 1, and (iv) MSE should be close to RMSE . Finally, the best‐fit model is used for generating spatial maps of groundwater levels.…”

Section: Methodsmentioning

confidence: 99%

“…The acceptable values of the goodness-of-fit criteria are: (i) ME and MSE should be near to zero, (ii) RMSE should be as small as possible, (iii) RMSSE should be nearest to 1, and (iv) MSE should be close to RMSE. 48,49 Finally, the best-fit model is used for generating spatial maps of groundwater levels. Thereafter, the mean of the pre-and post-monsoon groundwater level raster is generated through "cell statistics tool" of ArcGIS software.…”

Section: Developing Thematic Layers In Gismentioning

confidence: 99%

A parsimonious approach to delineating groundwater potential zones using geospatial modeling and multicriteria decision analysis techniques under limited data availability condition

Kumar¹,

Machiwal

Parmar

2019

Engineering Reports

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This study delineates groundwater potential zones by following an “equifinality” approach and adopting a standard methodology using remote sensing, geospatial modeling, geographic information system (GIS) and multicriteria decision analysis (MCDA) techniques. A total of 11 thematic layers (ie, rainfall, topographic elevation, slope, slope length, slope steepness, soil, geomorphology, geology, drainage density, and pre‐ and post‐monsoon groundwater levels) which have an influence on the occurrence of the groundwater are developed. The suitable weights to themes and their features are assigned and then normalized by using an analytic hierarchy process (AHP)—MCDA technique. All themes are integrated in GIS for generating a groundwater potential index (GPI) map, which classifies the study area into three zones of “good” (588.5 km2, 34.1%), “moderate” (933.4 km2, 54.1%), and “poor” (203.3 km2, 11.8%) groundwater potential. Furthermore, the accuracy of the developed GPI map is verified from the coherent estimates of rainfall‐recharge. Unlike earlier studies, this study further evaluates relative sensitivity of the themes, and develops a novel “parsimonious” groundwater potential index (PGPI). The PGPI is a cost‐effective and time‐efficient method that excludes redundant parameters from the analysis and employs only the most sensitive themes in assessing groundwater potential. The results of both GPI and PGPI are found in good harmony over 86.7% area, which confirms the efficacy of the developed PGPI. The results of this study may be of interest to planners and policymakers as a guideline for locating appropriate groundwater development sites and managing sustainable water supplies, especially under data scarcity conditions and/or in developing countries.

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Evaluation of Land Subsidence Prevention to Minimize the Flood Risk in a Port City

Januriyadi,

Kazama,

Moe

et al. 2024

Lecture Notes in Civil Engineering

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Evaluating the impact of artificial groundwater recharge structures using geo-spatial techniques in the hard-rock terrain of Rajasthan, India

Cited by 7 publications

References 17 publications

Quantifying Focused Groundwater Recharge Induced by Irrigation Surface Water Reservoirs in Crystalline Basement Areas for Complementary Irrigation

Quantifying Focused Groundwater Recharge Induced by Irrigation Surface Water Reservoirs in Crystalline Basement Areas for Complementary Irrigation

A parsimonious approach to delineating groundwater potential zones using geospatial modeling and multicriteria decision analysis techniques under limited data availability condition

Evaluation of Land Subsidence Prevention to Minimize the Flood Risk in a Port City

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