Scientific Results

This catalogue is obtained by conducting a systematic literature review of scientific studies and reviews related to monitoring, forecasting, and simulating the inland water cycle. The analysis maps scientific expertise across research groups and classifies findings by the type of inland water studied, application focus, and geographical scope. A gap analysis will identify missing research areas and assess their relevance to policymaking.

ID â–² Type Year Authors Title Venue/Journal DOI Research type Water System Technical Focus Abstract Link with Projects Link with Tools Related policies ID
publications-761 PEER REVIEWED ARTICLE 2015 Néstor Lerma , Javier Paredes-Arquiola , Joaquín Andreu , Abel Solera , Giovanni M. Sechi Assessment of evolutionary algorithms for optimal operating rules design in real Water Resource Systems 10.1016/j.envsoft.2014.09.024 Simulation & Modeling River Basins No abstract available 282769
publications-762 PEER REVIEWED ARTICLE 2013 Néstor Lerma , Javier Paredes-Arquiola , Jose-Luis Molina , Joaquín Andreu Evolutionary network flow models for obtaining operation rules in multi-reservoir water systems 10.2166/hydro.2013.151 Hydrological modeling Groundwater Obtaining operation rules (OR) for multi-reservoir water systems through optimization and simulation processes has been an intensely studied topic. However, an innovative approach for the integration of two approaches – network flow simulation models and evolutionary multi-objective optimization (EMO) – is proposed for obtaining the operation rules for integrated water resource management (IWRM). This paper demonstrates a methodology based on the coupling of an EMO algorithm (NSGA-II or Non-dominated Sorting Genetic Algorithm) with an existing water resources allocation simulation network flow model (SIMGES). The implementation is made for a real case study, the Mijares River basin (Spain) which is characterized by severe drought events, a very traditional water rights system and its historical implementation of the conjunctive use of surface and ground water. The established operation rules aim to minimize the maximum deficit in the short term without compromising the maximum deficits in the long term. This research proves the utility of the proposed methodology by coupling NSGA-II and SIMGES to find the optimal reservoir operation rules in multi-reservoir water systems. 282769
publications-763 PEER REVIEWED ARTICLE 2014 Andrea Momblanch , Joaquín Andreu , Javier Paredes-Arquiola , Abel Solera , María Pedro-Monzonís Adapting water accounting for integrated water resource management. The Júcar Water Resource System (Spain) 10.1016/j.jhydrol.2014.10.002 Uncategorized Water Distribution Networks No abstract available 282769
publications-764 PEER REVIEWED ARTICLE 2015 Andrea Momblanch , Javier Paredes-Arquiola , Antoni Munné , Andreu Manzano , Javier Arnau , Joaquín Andreu Managing water quality under drought conditions in the Llobregat River Basin 10.1016/j.scitotenv.2014.06.069 Uncategorized Irrigation Systems No abstract available 282769
publications-765 PEER REVIEWED ARTICLE 2012 Philippe Quevauviller , Damia Barceló , Martin Beniston , Slobodan Djordjevic , Richard J. Harding , Ana Iglesias , Ralf Ludwig , Antonio Navarra , A Integration of research advances in modelling and monitoring in support of WFD river basin management planning in the context of climate change 10.1016/j.scitotenv.2012.07.055 Uncategorized Wastewater Treatment Plants No abstract available 282769
publications-766 PEER REVIEWED ARTICLE 2013 B. Orlowsky , S. I. Seneviratne Elusive drought: uncertainty in observed trends and short- and long-term CMIP5 projections 10.5194/hess-17-1765-2013 Uncategorized Wastewater Treatment Plants Abstract. Recent years have seen a number of severe droughts in different regions around the world, causing agricultural and economic losses, famines and migration. Despite their devastating consequences, the Standardised Precipitation Index (SPI) of these events lies within the general range of observation-based SPI time series and simulations from the 5th phase of the Coupled Model Intercomparison Project (CMIP5). In terms of magnitude, regional trends of SPI over the last decades remain mostly inconclusive in observation-based datasets and CMIP5 simulations, but Soil Moisture Anomalies (SMAs) in CMIP5 simulations hint at increased drought in a few regions (e.g., the Mediterranean, Central America/Mexico, the Amazon, North-East Brazil and South Africa). Also for the future, projections of changes in the magnitude of meteorological (SPI) and soil moisture (SMA) drought in CMIP5 display large spreads over all time frames, generally impeding trend detection. However, projections of changes in the frequencies of future drought events display more robust signal-to-noise ratios, with detectable trends towards more frequent drought before the end of the 21st century in the Mediterranean, South Africa and Central America/Mexico. Other present-day hot spots are projected to become less drought-prone, or display non-significant changes in drought occurrence. A separation of different sources of uncertainty in projections of meteorological and soil moisture drought reveals that for the near term, internal climate variability is the dominant source, while the formulation of Global Climate Models (GCMs) generally becomes the dominant source of spread by the end of the 21st century, especially for soil moisture drought. In comparison, the uncertainty from Green-House Gas (GHG) concentrations scenarios is negligible for most regions. These findings stand in contrast to respective analyses for a heat wave index, for which GHG concentrations scenarios constitute the main source of uncertainty. Our results highlight the inherent difficulty of drought quantification and the considerable likelihood range of drought projections, but also indicate regions where drought is consistently found to increase. In other regions, wide likelihood range should not be equated with low drought risk, since potential scenarios include large drought increases in key agricultural and ecosystem regions. 282769
publications-767 PEER REVIEWED ARTICLE 2014 B Orlowsky , A Y Hoekstra , L Gudmundsson , Sonia I Seneviratne Todayʼs virtual water consumption and trade under future water scarcity 10.1088/1748-9326/9/7/074007 Uncategorized Uncategorized No abstract available 282769
publications-768 PEER REVIEWED ARTICLE 2013 Rene Orth , Randal D. Koster , Sonia I. Seneviratne Inferring Soil Moisture Memory from Streamflow Observations Using a Simple Water Balance Model 10.1175/jhm-d-12-099.1 Uncategorized Uncategorized Abstract Soil moisture is known for its integrative behavior and resulting memory characteristics. Soil moisture anomalies can persist for weeks or even months into the future, making initial soil moisture a potentially important contributor to skill in weather forecasting. A major difficulty when investigating soil moisture and its memory using observations is the sparse availability of long-term measurements and their limited spatial representativeness. In contrast, there is an abundance of long-term streamflow measurements for catchments of various sizes across the world. The authors investigate in this study whether such streamflow measurements can be used to infer and characterize soil moisture memory in respective catchments. Their approach uses a simple water balance model in which evapotranspiration and runoff ratios are expressed as simple functions of soil moisture; optimized functions for the model are determined using streamflow observations, and the optimized model in turn provides information on soil moisture memory on the catchment scale. The validity of the approach is demonstrated with data from three heavily monitored catchments. The approach is then applied to streamflow data in several small catchments across Switzerland to obtain a spatially distributed description of soil moisture memory and to show how memory varies, for example, with altitude and topography. 282769
publications-769 PEER REVIEWED ARTICLE 2014 René Orth , Sonia I. Seneviratne Using soil moisture forecasts for sub-seasonal summer temperature predictions in Europe 10.1007/s00382-014-2112-x Simulation & Modeling River Basins No abstract available 282769
publications-770 PEER REVIEWED ARTICLE 2015 Rene Orth , Sonia I Seneviratne Introduction of a simple-model-based land surface dataset for Europe 10.1088/1748-9326/10/4/044012 Uncategorized Uncategorized No abstract available 282769