Reviving the Ganges water machine: accelerating surface water and groundwater interactions in the Ramganga sub-basin

Reviving the Ganges Water Machine (GWM), coined 40 years ago, is the most opportune solution for mitigating the impacts of recurrent droughts and floods in the Ganges River Basin in South Asia. GWM create subsurface storage (SSS) by pumping more groundwater from the aquifers before the monsoon for irrigation and other uses and recharge it during the monsoon. The present study uses fully processed and physically based numerical models, MODFLOW and SWAT, in a semi-coupled modelling framework to examine the technical feasibility of recharging the SSS. The aquifer was simulated as a two-layer system using hydrogeological and groundwater data, model was calibrated from 1999 to 2005 and validated from 2006 to 2010. It assesses the impacts of gradual increase of SSS in 10 years from the base year 2010 under two scenarios (increased rainfall or controlled pumping and recharge) to meet a potential unmet demand of 1.68 billion cubic meters (Bm3) in the Ramganga sub-basin with an area of 18,668 km2. The results show that 3–4 m of subsurface storage can be created by groundwater pumping of 0.25 Bm3/year by 2020. Under the controlled pumping and recharge scenario, groundwater recharge and river seepage could increase by 14% (4.21–4.80 Bm3) and 31% (1.10–1.44 Bm3), respectively. However, baseflow will decrease by 30% (0.18–0.12 Bm3) over the same time period. The results also show that recharge increased 44% (4.21–6.05 Bm3) under an increased rainfall scenario. Simultaneously, river seepage and baseflows would increase 36% (1.10–1.14 Bm3) and 11% (0.18–0.20 Bm3), respectively. A well-designed managed aquifer recharge program is required to eliminate the negative impact of river flows in the low flow season.

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Main Authors: Surinaidu, L., Muthuwatta, Lal P., Amarasinghe, Upali A., Jain, S.K., Kumar, S., Singh, S.
Format: Journal Article biblioteca
Language:English
Published: Elsevier 2016-09
Subjects:surface water, monsoon climate, groundwater recharge, water storage, water use, water levels, water balance, pumping, aquifers, river basins, seepage, hydrogeology, models, calibration, flow rate, artificial recharge, rain,
Online Access:https://hdl.handle.net/10568/77238
https://doi.org/10.1016/j.jhydrol.2016.06.025
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spelling dig-cgspace-10568-772382023-12-08T19:36:04Z Reviving the Ganges water machine: accelerating surface water and groundwater interactions in the Ramganga sub-basin Surinaidu, L. Muthuwatta, Lal P. Amarasinghe, Upali A. Jain, S.K. Kumar, S. Singh, S. surface water monsoon climate groundwater recharge water storage water use water levels water balance pumping aquifers river basins seepage hydrogeology models calibration flow rate artificial recharge rain Reviving the Ganges Water Machine (GWM), coined 40 years ago, is the most opportune solution for mitigating the impacts of recurrent droughts and floods in the Ganges River Basin in South Asia. GWM create subsurface storage (SSS) by pumping more groundwater from the aquifers before the monsoon for irrigation and other uses and recharge it during the monsoon. The present study uses fully processed and physically based numerical models, MODFLOW and SWAT, in a semi-coupled modelling framework to examine the technical feasibility of recharging the SSS. The aquifer was simulated as a two-layer system using hydrogeological and groundwater data, model was calibrated from 1999 to 2005 and validated from 2006 to 2010. It assesses the impacts of gradual increase of SSS in 10 years from the base year 2010 under two scenarios (increased rainfall or controlled pumping and recharge) to meet a potential unmet demand of 1.68 billion cubic meters (Bm3) in the Ramganga sub-basin with an area of 18,668 km2. The results show that 3–4 m of subsurface storage can be created by groundwater pumping of 0.25 Bm3/year by 2020. Under the controlled pumping and recharge scenario, groundwater recharge and river seepage could increase by 14% (4.21–4.80 Bm3) and 31% (1.10–1.44 Bm3), respectively. However, baseflow will decrease by 30% (0.18–0.12 Bm3) over the same time period. The results also show that recharge increased 44% (4.21–6.05 Bm3) under an increased rainfall scenario. Simultaneously, river seepage and baseflows would increase 36% (1.10–1.14 Bm3) and 11% (0.18–0.20 Bm3), respectively. A well-designed managed aquifer recharge program is required to eliminate the negative impact of river flows in the low flow season. 2016-09 2016-10-12T05:30:28Z 2016-10-12T05:30:28Z Journal Article Surinaidu, L.; Muthuwatta, Lal; Amarasinghe, Upali Ananda; Jain, S. K.; Kumar, S.; Singh, S. 2016. Reviving the Ganges water machine: accelerating surface water and groundwater interactions in the Ramganga sub-basin. Journal of Hydrology, 540:207-219. doi: 10.1016/j.jhydrol.2016.06.025 0022-1694 https://hdl.handle.net/10568/77238 https://doi.org/10.1016/j.jhydrol.2016.06.025 en Copyrighted; all rights reserved Open Access Elsevier Journal of Hydrology
institution CGIAR
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-cgspace
tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CGIAR
language English
topic surface water
monsoon climate
groundwater recharge
water storage
water use
water levels
water balance
pumping
aquifers
river basins
seepage
hydrogeology
models
calibration
flow rate
artificial recharge
rain
surface water
monsoon climate
groundwater recharge
water storage
water use
water levels
water balance
pumping
aquifers
river basins
seepage
hydrogeology
models
calibration
flow rate
artificial recharge
rain
spellingShingle surface water
monsoon climate
groundwater recharge
water storage
water use
water levels
water balance
pumping
aquifers
river basins
seepage
hydrogeology
models
calibration
flow rate
artificial recharge
rain
surface water
monsoon climate
groundwater recharge
water storage
water use
water levels
water balance
pumping
aquifers
river basins
seepage
hydrogeology
models
calibration
flow rate
artificial recharge
rain
Surinaidu, L.
Muthuwatta, Lal P.
Amarasinghe, Upali A.
Jain, S.K.
Kumar, S.
Singh, S.
Reviving the Ganges water machine: accelerating surface water and groundwater interactions in the Ramganga sub-basin
description Reviving the Ganges Water Machine (GWM), coined 40 years ago, is the most opportune solution for mitigating the impacts of recurrent droughts and floods in the Ganges River Basin in South Asia. GWM create subsurface storage (SSS) by pumping more groundwater from the aquifers before the monsoon for irrigation and other uses and recharge it during the monsoon. The present study uses fully processed and physically based numerical models, MODFLOW and SWAT, in a semi-coupled modelling framework to examine the technical feasibility of recharging the SSS. The aquifer was simulated as a two-layer system using hydrogeological and groundwater data, model was calibrated from 1999 to 2005 and validated from 2006 to 2010. It assesses the impacts of gradual increase of SSS in 10 years from the base year 2010 under two scenarios (increased rainfall or controlled pumping and recharge) to meet a potential unmet demand of 1.68 billion cubic meters (Bm3) in the Ramganga sub-basin with an area of 18,668 km2. The results show that 3–4 m of subsurface storage can be created by groundwater pumping of 0.25 Bm3/year by 2020. Under the controlled pumping and recharge scenario, groundwater recharge and river seepage could increase by 14% (4.21–4.80 Bm3) and 31% (1.10–1.44 Bm3), respectively. However, baseflow will decrease by 30% (0.18–0.12 Bm3) over the same time period. The results also show that recharge increased 44% (4.21–6.05 Bm3) under an increased rainfall scenario. Simultaneously, river seepage and baseflows would increase 36% (1.10–1.14 Bm3) and 11% (0.18–0.20 Bm3), respectively. A well-designed managed aquifer recharge program is required to eliminate the negative impact of river flows in the low flow season.
format Journal Article
topic_facet surface water
monsoon climate
groundwater recharge
water storage
water use
water levels
water balance
pumping
aquifers
river basins
seepage
hydrogeology
models
calibration
flow rate
artificial recharge
rain
author Surinaidu, L.
Muthuwatta, Lal P.
Amarasinghe, Upali A.
Jain, S.K.
Kumar, S.
Singh, S.
author_facet Surinaidu, L.
Muthuwatta, Lal P.
Amarasinghe, Upali A.
Jain, S.K.
Kumar, S.
Singh, S.
author_sort Surinaidu, L.
title Reviving the Ganges water machine: accelerating surface water and groundwater interactions in the Ramganga sub-basin
title_short Reviving the Ganges water machine: accelerating surface water and groundwater interactions in the Ramganga sub-basin
title_full Reviving the Ganges water machine: accelerating surface water and groundwater interactions in the Ramganga sub-basin
title_fullStr Reviving the Ganges water machine: accelerating surface water and groundwater interactions in the Ramganga sub-basin
title_full_unstemmed Reviving the Ganges water machine: accelerating surface water and groundwater interactions in the Ramganga sub-basin
title_sort reviving the ganges water machine: accelerating surface water and groundwater interactions in the ramganga sub-basin
publisher Elsevier
publishDate 2016-09
url https://hdl.handle.net/10568/77238
https://doi.org/10.1016/j.jhydrol.2016.06.025
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