Impact of Dense Reservoir Networks on Water Resources in Semiarid Environments

Abstract The northeast of Brazil is a semiarid region where water scarcity is a major problem dealt with by the construction of dams. This policy generated a dense reservoir network in the region, resulting in a complex system. The impacts of the network have been assessed, and the results showed that the existence of a large number of small dams upstream the strategic ones, impact both negatively and positively the overall water availability. The negative effects of the network are mainly high evaporation losses from small reservoirs, and the fact that they add considerable complexity to the management of the system. On the other hand, the reservoirs generate a more democratic water distribution and higher energy rationality, as a consequence of the better spatial distribution of the water resources. In addition, sediment retention in the network leads to lower silting rate of strategic reservoirs, meaning lower temporal decay in water availability in the already water-scarce region.

[1]  J. D. de Araújo,et al.  Sediment redistribution due to a dense reservoir network in a large semi-arid Brazilian basin , 2011 .

[2]  Phillip Jordan,et al.  Assessing the impact of farm dams on streamflows, Part I: Development of simulation tools , 2005 .

[3]  John D. Pisaniello,et al.  Small dams safety issues – engineering/policy models and community responses from Australia , 2006 .

[4]  Stefano Schiavon,et al.  Climate Change 2007: The Physical Science Basis. , 2007 .

[5]  Jean Poesen,et al.  The application of semi-quantitative methods and reservoir sedimentation rates for the prediction of basin sediment yield in Spain , 2005 .

[6]  Slobodan P. Simonovic,et al.  Optimal Operation of Reservoir Systems using Simulated Annealing , 2002 .

[7]  J. N. Callow,et al.  The effect of farm dams and constructed banks on hydrologic connectivity and runoff estimation in agricultural landscapes , 2009, Environ. Model. Softw..

[8]  A. Guntner Large-scale hydrological modelling in the semi-arid north-east of Brazil , 2002 .

[9]  Christian M Schneider,et al.  Overspill avalanching in a dense reservoir network , 2012, Proceedings of the National Academy of Sciences.

[10]  P. Tempel,et al.  Global and National Soils and Terrain Digital Databases (SOTER) Attribute Database User Manual , 1995 .

[11]  G. M. Kondolf,et al.  Estimating reservoir sedimentation rates at large spatial and temporal scales: A case study of California , 2009 .

[12]  Till Francke,et al.  Modelling sediment export, retention and reservoir sedimentation in drylands with the WASA-SED model , 2010 .

[13]  A. Bronstert,et al.  Loss of reservoir volume by sediment deposition and its impact on water availability in semiarid Brazil , 2006 .

[14]  Billy J. Barfield,et al.  Design Hydrology and Sedimentology for Small Catchments , 1994 .

[15]  Xia Wei,et al.  An Improved Genetic Algorithm-Simulated Annealing Hybrid Algorithm for the Optimization of Multiple Reservoirs , 2008 .

[16]  Till Francke,et al.  Modelling spatio-temporal patterns of sediment yield and connectivity in a semi-arid catchment with the WASA-SED model , 2010 .

[17]  José Carlos de Araújo,et al.  Sustainability of Small Reservoirs and Large Scale Water Availability Under Current Conditions and Climate Change , 2011 .

[18]  J. Olden,et al.  Homogenization of regional river dynamics by dams and global biodiversity implications , 2007, Proceedings of the National Academy of Sciences.

[19]  J. Araújo,et al.  Comparative hydrology: analysis of a semiarid and a humid tropical watershed , 2009 .

[20]  A. Güntner,et al.  Hydrological Impact of a High-Density Reservoir Network in Semiarid Northeastern Brazil , 2012 .

[21]  K. Fryirs,et al.  Buffers, barriers and blankets : the (dis)connectivity of catchment-scale sediment cascades , 2007 .

[22]  Rory Nathan,et al.  The Hydrologic Impacts of Farm Dams , 2012, Australasian Journal of Water Resources.

[23]  Axel Bronstert,et al.  Representation of landscape variability and lateral redistribution processes for large-scale hydrological modelling in semi-arid areas , 2004 .

[24]  Francisco de Assis Souza Filho,et al.  Errors and Variability of Reservoir Yield Estimation as a Function of the Coefficient of Variation of Annual Inflows , 1997 .

[25]  J. Campos Modeling the Yield–Evaporation–Spill in the Reservoir Storage Process: The Regulation Triangle Diagram , 2010 .

[26]  Xxyyzz Sustainability Criteria for Water Resource Systems , 1998 .

[27]  Andreas Güntner,et al.  Simple water balance modelling of surface reservoir systems in a large data-scarce semiarid region / Modélisation simple du bilan hydrologique de systèmes de réservoirs de surface dans une grande région semi-aride pauvre en données , 2004 .

[28]  L. Mays,et al.  OPTIMIZATION OF MULTIPLE RESERVOIR NETWORKS FOR SEDIMENTATION CONTROL , 2000 .

[29]  T. McMahon,et al.  Updated world map of the Köppen-Geiger climate classification , 2007 .

[30]  Sedimentation of Reservoirs in Semiarid Brazil , 2003 .

[31]  S. Foerster,et al.  Analysis of channel transmission losses in a dryland river reach in north‐eastern Brazil using streamflow series, groundwater level series and multi‐temporal satellite data , 2013 .

[32]  J. Poesen,et al.  Sediment yield variability in Spain: a quantitative and semiqualitative analysis using reservoir sedimentation rates , 2003 .