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Author Mahindawansha, A.; Külls, C.; Kraft, P.; Breuer, L. url  doi
openurl 
  Title Estimating water flux and evaporation losses using stable isotopes of soil water from irrigated agricultural crops in tropical humid regions Type Journal Article
  Year 2019 Publication Hydrology and Earth System Sciences Discussions Abbreviated Journal  
  Volume (down) 2019 Issue Pages 1-28  
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  Notes Approved no  
  Call Number FHL @ info @ hess-2019-213 Serial 1287  
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Author Durand, M.A.  T.; Wei, R. openurl 
  Title What Controls Runoff Ratios in the Congo Basin? Type Conference Article
  Year 2014 Publication AGU Fall Meeting Abstracts Abbreviated Journal  
  Volume (down) 2014 Issue Pages 52  
  Keywords 0426 Biosphere/atmosphere interactions, 1616 Climate variability, 1878 Water/energy interactions, 9305 Africa  
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  Call Number FHL @ info @ ref2014AGUFMGC52B..03D Serial 1289  
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Author Grodek, T.; Enzel, Y.; Morin, E.; Jacoby, Y.; Dahan, O.; Benito, G.; Külls, C.; Geller, A.; Van Langenhove, G.; Seely, M. openurl 
  Title Flood hydrology, flood routing, paleohydrology and the estimation of water resources along the shallow alluvial aquifers of the Kuiseb River, Namibia Type Journal Article
  Year 2008 Publication Abstracts-Israel Geological Society Abbreviated Journal  
  Volume (down) 2008 Issue Pages 37  
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  Publisher Israel Geological Society Place of Publication Editor  
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  Notes Approved no  
  Call Number IHF @ info @ Serial 1053  
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Author Ndehedehe, C.E.; Anyah, R.O.; Alsdorf, D.; Agutu, N.O.; Ferreira, V.G. url  openurl
  Title Modelling the impacts of global multi-scale climatic drivers on hydro-climatic extremes (1901-2014) over the Congo basin Type Journal Article
  Year 2019 Publication Science of The Total Environment Abbreviated Journal  
  Volume (down) 651 Issue Pages 1569-1587  
  Keywords ENSO, SPI, Rainfall, River discharge, Sea surface temperature, Climate variability  
  Abstract The knowledge of interactions between oceanic and atmospheric processes and associated influence on drought episodes is a key step toward designing robust measure that could support government and institutional measures for drought preparedness to promote region-specific drought risk-management policy solutions. This has become necessary for the Congo basin where the preponderance of evidence from few case studies shows long-term drying and hydro-climatic extremes attributed to perturbations of the nearby oceans. In this study, statistical relationships are developed between observed standardised precipitation index (SPI) and global sea surface temperature using principal component analysis as a regularization tool prior to the implementation of a canonical scheme. The connectivity between SPI patterns and global ocean-atmosphere phenomena was thereafter examined using the output from this scheme in a predictive framework based on non-linear autoregressive standard neural network. The Congo basin is shown to have been characterized by persistent and severe multi-year droughts during the earlier (1901-1930) and latter (1991-2014) decades of the last century. The impacts of these droughts were extensive affecting more than 50% of the basin between 1901 and 1930 and about 40% during the 1994-2006 period. Analysis of the latest decades (1994-2014) shows that relative to the two climatological periods between 1931 and 1990, the Congo basin has somewhat become drier. This likely contributed to the observed change in the hydrological regimes of the Congo river (after 1994) as indicated by the relationship between SPI and runoff index (r = 0.69 and 0.64 for 1931-1990 and 1961-1990 periods, respectively as opposed to r = 0.38 for 1991-2010 period). Pacific ENSO influences large departures in precipitation (r = 0.89) but prediction skill metrics demonstrate that multi-scale ocean-atmosphere phenomena (R2 = 84%, 78%, and 77% for QBO, AMO, and ENSO, respectively) significantly impact on hydro-climatic extremes, especially droughts over the Congo basin.  
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  ISSN 0048-9697 ISBN Medium  
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  Call Number FHL @ info @ Ndehedehe20191569 Serial 1301  
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Author O'Loughlin, F.E.; Neal, J.; Schumann, G.J.P.; Beighley, E.; Bates, P.D. url  openurl
  Title A LISFLOOD-FP hydraulic model of the middle reach of the Congo Type Journal Article
  Year 2020 Publication Journal of Hydrology Abbreviated Journal  
  Volume (down) 580 Issue Pages 124203  
  Keywords Hydraulic modelling, Congo, Altimetry, Surface water  
  Abstract In this paper we attempt to produce a first hydrodynamic model of the middle reach of the Congo river system in order to understand what controls this rivers unique bimodal flood pulse. The model covers the area between Kisangani and Kinshasa on the main stem and includes the major tributaries and the Cuvette Centrale wetland, one of the world's largest and most understudied lowland regions. A mixture of in-situ discharges and modelled discharge from a basin-wide catchment hydrology model were used to force a four-kilometre resolution hydrodynamic simulation developed using the LISFLOOD-FP model. River channels are represented as sub-grid scale features and their width is therefore decoupled from that of the over-lying floodplain grid. Unknown channel friction and bathymetry parameters were calibrated using ERS-2 and Envisat satellite altimetry measurements of channel water level. The calibrated model simulated channel water surface elevations across the domain with a bias and root mean square error of 0.185 and 0.842 m respectively. The value for root mean squared error is close to that obtained for comparisons of ERS-2 and Envisat satellite altimetry to in-situ water elevation data in similar basins (0.79 m and 0.47 m respectively). The model results imply that the bimodal annual pattern of Congo river discharge is predominantly a hydrological rather than hydraulically-controlled feature, with the channel-floodplain interactions and river constrictions having only a modest impact on the flood wave propagation. Nevertheless, and counter to current understanding, we find that interactions between channels and floodplains do however occur extensively, with over 2100 km of the 13,000 km of channel network in the model identified as zones where water is actively exchanged between channels and floodplains. Whilst the water volume that is exchanged with the floodplain is substantially less than for other large rivers, our results imply that channel-floodplain interactions are a significant feature of Congo flood wave propagation. Overall the model provides insights into the hydraulics of this understudied system that can next be tested both in the field and through more detailed modelling studies.  
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  ISSN 0022-1694 ISBN Medium  
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  Notes Approved no  
  Call Number FHL @ info @ Oloughlin2020124203 Serial 1298  
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