Your search found 7 records
1 Schuurmans. J. M.; Troch, P. A.; Veldhuizen, A. A.; Bastiaanssen, W. G. M.; Bierkens, M. F. P.. 2003. Assimilation of remotely sensed latent heat flux in a distributed hydrological model. Advances in Water Resources, 26(2):151-159.
Hydrology ; Models ; Water balance ; Catchment areas ; Evapotranspiration / Netherlands / Drentse Aa Catchment
(Location: IWMI-HQ Record No: H031177)
2 Bierkens, M. F. P.; Dolman, A. J.; Troch, P. A. (Eds.) 2008. Climate and the hydrological cycle. Wallingford, UK: International Association of Hydrological Sciences (IAHS). 343p. (IAHS Special Publication 8)
Hydrology ; Climate ; Evaporation ; Measurement ; Water balance ; Soil moisture ; Lysimetry ; Rain ; Monitoring ; Soil moisture ; Precipitation ; Soil water ; Infiltration ; Runoff ; Models ; Groundwater ; Wetlands ; River basins ; Climate change ; Land use ; Remote sensing
(Location: IWMI HQ Call no: 551.57 G000 BIE Record No: H041795)
3 Wada, Y.; van Beek, L. P. H.; van Kempen, C. M.; Reckman, J. W. T. M.; Vasak, S.; Bierkens, M. F. P.. 2010. Global depletion of groundwater resources. Geophysical Research Letters, 37(L20402). 5p. [doi: https://doi.org/10.1029/2010GL044571]
(Location: IWMI HQ Call no: e-copy only Record No: H043355)
(0.59 MB)
In regions with frequent water stress and large aquifer systems groundwater is often used as an additional water source. If groundwater abstraction exceeds the natural groundwater recharge for extensive areas and long times, overexploitation or persistent groundwater depletion occurs. Here we provide a global overview of groundwater depletion (here defined as abstraction in excess of recharge) by assessing groundwater recharge with a global hydrological model and subtracting estimates of groundwater abstraction. Restricting our analysis to sub-humid to arid areas we estimate the total global groundwater depletion to have increased from 126 (±32) km3 a-1 in 1960 to 283 (±40) km3 a-1 in 2000. The latter equals 39 (±10)% of the global yearly groundwater abstraction, 2 (±0.6)% of the global yearly groundwater recharge, 0.8 (±0.1)% of the global yearly continental runoff and 0.4 (±0.06)% of the global yearly evaporation, contributing a considerable amount of 0.8 (±0.1) mm a-1 to current sea-level rise.
4 Wood, E. F.; Roundy, J. K.; Troy, T. J.; van Beek, L. P. H.; Bierkens, M. F. P.; Blyth, E.; de Roo, A.; Doll, P.; Ek, M.; Famiglietti, J.; Gochis, D.; van de Giesen, N.; Houser, P.; Jaffe, P. R.; Kollet, S.; Lehner, B.; Lettenmaier, D. P.; Peters-Lidard, C.; Sivapalan, M.; Sheffield, J.; Wade, A.; Whitehead, P. 2011. Hyperresolution global land surface modeling: meeting a grand challenge for monitoring earth’s terrestrial water. Water Resources Research, 47:10.
Land cover ; Surface water ; Hydrology ; Social aspects ; Water quality ; Soil moisture ; Weather ; Climate
(Location: IWMI HQ Call no: e-copy only Record No: H045083)
(1.23 MB)
5 Immerzeel, W. W.; Pellicciotti, F.; Bierkens, M. F. P.. 2013. Rising river flows throughout the twenty-first century in two Himalayan glacierized watersheds. Nature Geoscience, 6:742-745. [doi: https://doi.org/10.1038/NGEO1896]
River basins ; Flow discharge ; Runoff ; Glaciers ; Watersheds ; Climate change ; Precipitation ; Temperature ; Snow cover / Asia / Himalayan Watersheds
(Location: IWMI HQ Call no: e-copy only Record No: H046051)
(1.86 MB)
Greater Himalayan glaciers are retreating and losing mass at rates comparable to glaciers in other regions of the world 1–5. Assessments of future changes and their associated hydrological impacts are scarce, oversimplify glacier dynamics or include a limited number of climate models6–9. Here, we use results from the latest ensemble of climate models in combination with a high-resolution glacio-hydrological model to assess the hydrological impact of climate change on two climatically contrasting watersheds in the Greater Himalaya, the Baltoro and Langtang watersheds that drain into the Indus and Ganges rivers, respectively. We show that the largest uncertainty in future runoff is a result of variations in projected precipitation between climate models. In both watersheds, strong, but highly variable, increases in future runoff are projected and, despite the different characteristics of the watersheds, their responses are surprisingly similar. In both cases, glaciers will recede but net glacier melt runoff is on a rising limb at least until 2050. In combination with a positive change in precipitation, water availability during this century is not likely to decline.We conclude that river basins that depend on monsoon rains and glacier melt will continue to sustain the increasing water demands expected in these areas.
6 van Engelen, J.; Essink, G. H. P. O.; Kooi, H.; Bierkens, M. F. P.. 2018. On the origins of hypersaline groundwater in the Nile Delta Aquifer. Journal of Hydrology, 560:301-317. [doi: https://doi.org/10.1016/j.jhydrol.2018.03.029]
Groundwater ; Aquifers ; Hypersaline environments ; Hydrogeology ; Mathematical models ; Total dissolved solids ; Hydraulic conductivity ; Brines ; Sedimentation ; Coastal area ; Deltas ; Sensitivity analysis / Egypt / Nile Delta Aquifer
(Location: IWMI HQ Call no: e-copy only Record No: H048791)
https://www.sciencedirect.com/science/article/pii/S0022169418301951/pdfft?md5=c5ae52a396934f3094e4f2821f19d868&pid=1-s2.0-S0022169418301951-main.pdf
https://vlibrary.iwmi.org/pdf/H048791.pdf
https://vlibrary.iwmi.org/pdf/H048791.pdf
(3.10 MB) (3.10 MB)
The Nile Delta is essential to Egypt’s agro- and socio-economy. Although surface water is the traditional source for Egypt’s irrigation, the shallow fresh groundwater resources underlying the delta are increasingly burdened by groundwater pumping, which increases interest in the status of the groundwater resources. Groundwater up to three times more saline than sea water was found at 600 m depth. The occurrence of this hypersaline groundwater raises doubts on the often-made assumption in the literature that seawater is the only source of salt in the Nile Delta aquifer and makes further investigation necessary. Knowledge on the origin of this hypersaline groundwater is key in assessing the possibility of deep fresh groundwater pockets. In this paper we conducted computational analyses to assess possible origins using both analytical solutions and numerical models. It is concluded that the hypersaline groundwater can either originate from Quaternary free convection systems, or from compaction-induced upward salt transport of hypersaline groundwater that formed during the Messinian salinity crisis. Our results also indicate that with groundwater dating it is possible to discriminate between these two hypotheses. Furthermore, it is deduced that the hydrological connection between aquifer and sea is crucial to the hydrogeological functioning of the Nile Delta Aquifer.
7 van Leer, M. D.; Zaadnoordijk, W. J.; Zech, A.; Buma, J.; Harting, R.; Bierkens, M. F. P.; Griffioen, J. 2023. Artificial intelligence models to evaluate the impact of climate change on groundwater resources. Journal of Hydrology, 627(Part B):130359. [doi: https://doi.org/10.1016/j.jhydrol.2023.130359]
(Location: IWMI HQ Call no: e-copy only Record No: H052384)
https://www.sciencedirect.com/science/article/pii/S002216942301301X/pdfft?md5=083911396cde9f90ef9d942bb745ab14&pid=1-s2.0-S002216942301301X-main.pdf
https://vlibrary.iwmi.org/pdf/H052384.pdf
https://vlibrary.iwmi.org/pdf/H052384.pdf
(14.40 MB) (14.4 MB)
This study develops three different artificial intelligence (AI) models in order to investigate the effects of climate change on groundwater resources using historical records of precipitation, temperature and groundwater levels together with regional climate projections. In particular, the Non-linear Autoregressive Neural Network (NARX), the Long-Short Term Memory Neural Network (LSTM) and the Convolutional Neural Network (CNN) were compared. Considering an aquifer located in northern Italy as a case study, the neural networks were trained to replicate observed groundwater levels by taking as input precipitation and temperature records, and in the case of the NARX also antecedent groundwater levels, on a monthly scale. The trained networks were used to infer groundwater levels until the end of the century based on precipitation and temperature projections provided by an ensemble of 13 Regional Climate Models (RCMs) from the EURO-CORDEX initiative. Two emission pathways were considered: the RCP4.5 and RCP8.5. All the AI models show good performance metrics during the training phase, but NARXs perform poorly compared to the other models during validation and testing. For the future, the NARX and LSTM models predict a decline in groundwater levels, especially for the RCP8.5 scenario, while slight changes are expected using the CNN. As NARXs are not deep learning techniques and CNNs may not be able to extrapolate values outside the training range, LSTMs appear to be better suited for climate change impact evaluations.
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