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–Č Type Year Authors Title Venue/Journal DOI Research type Water System Technical Focus Abstract Link with Projects Link with Tools Related policies ID
publications-741 PEER REVIEWED ARTICLE 2015 Jon Van Wagenen , Mathias Leon Pape , Irini Angelidaki Characterization of nutrient removal and microalgal biomass production on an industrial waste-stream by application of the deceleration-stat technique 10.1016/j.watres.2015.02.022 Uncategorized Wastewater Treatment Plants No abstract available 280756
publications-742 PEER REVIEWED ARTICLE 2014 Noemí Merayo , Daphne Hermosilla , Luis Cortijo , Ángeles Blanco Optimization of the Fenton treatment of 1,4-dioxane and on-line FTIR monitoring of the reaction 10.1016/j.jhazmat.2014.01.008 Uncategorized Wastewater Treatment Plants No abstract available 280756
publications-743 PEER REVIEWED ARTICLE 2015 Jon Van Wagenen , Mathias Leon Pape , Irini Angelidaki Characterization of nutrient removal and microalgal biomass production on an industrial waste-stream by application of the deceleration-stat technique 10.1016/j.watres.2015.02.022 Uncategorized Wastewater Treatment Plants No abstract available 280756
publications-744 PEER REVIEWED ARTICLE 2014 Jon Van Wagenen , Susan LĂžvstad Holdt , Davide De Francisci , Borja Valverde-PĂ©rez , Benedek Gy PlĂłsz , Irini Angelidaki Microplate-based method for high-throughput screening of microalgae growth potential 10.1016/j.biortech.2014.06.096 Uncategorized Uncategorized No abstract available 280756
publications-745 PEER REVIEWED ARTICLE 2014 Carlos O. Letelier-Gordo , Susan LĂžvstad Holdt , Davide De Francisci , Dimitar Borisov Karakashev , Irini Angelidaki Effective harvesting of the microalgae Chlorella protothecoides via bioflocculation with cationic starch 10.1016/j.biortech.2014.06.014 Uncategorized Uncategorized No abstract available 280756
publications-746 PEER REVIEWED ARTICLE 2014 Helen BarndÔk , Luis Cortijo , Daphne Hermosilla , Carlos Negro , Ángeles Blanco Removal of 1,4-dioxane from industrial wastewaters: Routes of decomposition under different operational conditions to determine the ozone oxidation capacity 10.1016/j.jhazmat.2014.07.077 Uncategorized Wastewater Treatment Plants No abstract available 280756
publications-747 PEER REVIEWED ARTICLE 2014 David H. Moed , Arne R. D. Verliefde , Sebastiaan G. J. Heijman , Luuk C. Rietveld Thermolysis of Morpholine in Water and Superheated Steam 10.1021/ie500756v Uncategorized Uncategorized No abstract available 280756
publications-748 PEER REVIEWED ARTICLE 2014 D.H. Moed , A.R.D. Verliefde , S.G.J. Heijman , L.C. Rietveld Organic acid formation in steam–water cycles: Influence of temperature, retention time, heating rate and O2 10.1016/j.applthermaleng.2014.01.019 Uncategorized Uncategorized No abstract available 280756
publications-749 PEER REVIEWED ARTICLE 2014 S. Bachmair , I. Kohn , K. Stahl Exploring the link between drought indicators and impacts 10.5194/nhessd-2-7583-2014 Data Management & Analytics Precipitation & Ecological Systems Abstract. Current drought monitoring and early warning systems use different indicators for monitoring drought conditions and apply different indicator thresholds and rules for assigning drought intensity classes or issue warnings or alerts. Nevertheless, there is little knowledge on the meaning of different hydro-meteorologic indicators for impact occurrence on the ground. To date, there have been very few attempts to systematically characterize the indicator–impact-relationship owing to the sparse and patchy data for ground truthing hydro-meteorologic variables. The newly established European Drought Impact report Inventory (EDII) offers the possibility to investigate this linkage. The aim of this study was to explore the link between hydro-meteorologic indicators and drought impacts for the case study area Germany and thus to test the potential of qualitative impact data for evaluating the performance of drought indicators. As drought indicators two climatological drought indices as well as streamflow and groundwater level percentiles were selected. Linkage was assessed though data visualization and correlation analysis between monthly timeseries of indicator–impact data at the federal state level, and between spatial patterns for selected drought events. The analysis clearly revealed a significant moderate to strong correlation for some states and drought events allowing for an intercomparison of the performance of different drought indicators. While several commonalities could be identified regarding "best" indicator, indicator metric, and time-scale of climatic anomaly, the analysis also exposed differences among federal states and drought events, suggesting that the linkage is time-variant and region specific to some degree. Concerning thresholds associated with drought impact onset, we found that no single "best" threshold value can be identified but impacts occur within a range of indicator values. While the findings strongly depend on data and may change with a growing number of EDII entries in the future, this study clearly demonstrates the feasibility of ground truthing hydro-meteorologic variables with text-based impact reports and highlights the value of impact reporting as a tool for monitoring drought conditions. 282769
publications-750 PEER REVIEWED ARTICLE 2014 B. S. Beyene , A. F. Van Loon , H. A. J. Van Lanen , P. J. J. F. Torfs Investigation of variable threshold level approaches for hydrological drought identification 10.5194/hessd-11-12765-2014 Hydrological modeling River Basins Abstract. Threshold level approaches are widely used to identify drought events in time series of hydrometeorological variables. However, the method used for calculating the threshold level can influence the quantification of drought events or even introduce artefact drought events. In this study, four methods of variable threshold calculation have been tested on catchment scale, namely (1) moving average of monthly quantile (M_MA), (2) moving average of daily quantile (D_MA), (3) thirty days moving window quantile (30D) and (4) fast Fourier transform of daily quantile (D_FF). The levels obtained by these methods were applied to hydrometeorological variables that were simulated with a semi-distributed conceptual rainfall-runoff model (HBV) for five European catchments with contrasting catchment properties and climate conditions. There are no physical arguments to prefer one method over the other for drought identification. The only way to investigate this is by applying the methods and visually inspecting the results. Therefore, drought statistics (i.e. number of droughts, mean duration, mean deficit) and time series plots were studied to compare drought propagation patterns determined by different threshold calculation methods. We found that all four approaches are sufficiently suitable to quantify drought propagation in contrasting catchments. Only the D_FF approach showed lower performance in two catchments. The 30D approach seems to be optimal in snow-dominated catchments, because it follows fast changes in discharge caused by snow melt more accurately. The proposed approaches can be successfully applied by water managers in regions where drought quantification and prediction are essential. 282769