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 ▲ Type Year Authors Title Venue/Journal DOI Research type Water System Technical Focus Abstract Link with Projects Link with Tools Related policies ID
publications-2181 Peer reviewed articles 2020 J.G. Pérez-Pérez, J. Puertolas, A. Albacete, I.C. Dodd Alternation of wet and dry sides during partial rootzone drying irrigation enhances leaf ethylene evolution Environmental and Experimental Botany 10.1016/j.envexpbot.2020.104095 Predictive Analytics Irrigation Systems No abstract available 773903
publications-2182 Peer reviewed articles 2021 Yang Lu, Tendai P. Chibarabada, Matthew F. McCabe, Gabriëlle J.M. De Lannoy, Justin Sheffield Global sensitivity analysis of crop yield and transpiration from the FAO-AquaCrop model for dryland environments Field Crops Research 10.1016/j.fcr.2021.108182 Uncategorized Irrigation Systems No abstract available 773903
publications-2183 Peer reviewed articles 2021 J.M. Ramírez-Cuesta, M. Minacapilli, A. Motisi, S. Consoli, D.S. Intrigliolo, D. Vanella Characterization of the main land processes occurring in Europe (2000-2018) through a MODIS NDVI seasonal parameter-based procedure Science of The Total Environment 10.1016/j.scitotenv.2021.149346 Uncategorized River Basins No abstract available 773903
publications-2184 Peer reviewed articles 2020 M. Biddoccu, G. Guzmán, G. Capello, T. Thielke, P. Strauss, S. Winter, J.G. Zaller, A. Nicolai, D. Cluzeau, D. Popescu, C. Bunea, A. Hoble, E. Cavallo, J.A. Gómez Evaluation of soil erosion risk and identification of soil cover and management factor (C) for RUSLE in European vineyards with different soil management International Soil and Water Conservation Research 10.1016/j.iswcr.2020.07.003 Data Management & Analytics Groundwater No abstract available 773903
publications-2185 Peer reviewed articles 2020 Barbora Jáchymová, Josef Krása, Tomáš Dostál, Miroslav Bauer Can Lumped Characteristics of a Contributing Area Provide Risk Definition of Sediment Flux? Water 10.3390/w12061787 Data Management & Analytics River Basins Accelerated soil erosion by water has many offsite impacts on the municipal infrastructure. This paper discusses how to easily detect potential risk points around municipalities by simple spatial analysis using GIS. In the Czech Republic, the WaTEM/SEDEM model is verified and used in large scale studies to assess sediment transports. Instead of computing actual sediment transports in river systems, WaTEM/SEDEM has been innovatively used in high spatial detail to define indices of sediment flux from small contributing areas. Such an approach has allowed for the modeling of sediment fluxes in contributing areas with above 127,484 risk points, covering the entire Czech Republic territory. Risk points are defined as outlets of contributing areas larger than 1 ha, wherein the surface runoff goes into residential areas or vulnerable bodies of water. Sediment flux indices were calibrated by conducting terrain surveys in 4 large watersheds and splitting the risk points into 5 groups defined by the intensity of sediment transport threat. The best sediment flux index resulted from the correlation between the modeled total sediment input in a 100 m buffer zone of the risk point and the field survey data (R2 from 0.57 to 0.91 for the calibration watersheds). Correlation analysis and principal component analysis (PCA) of the modeled indices and their relation to 11 lumped characteristics of the contributing areas were computed (average K-factor; average R-factor; average slope; area of arable land; area of forest; area of grassland; total watershed area; average planar curvature; average profile curvature; specific width; stream power index). The comparison showed that for risk definition the most important is a combination of morphometric characteristics (specific width and stream power index), followed by watershed area, proportion of grassland, soil erodibility, and rain erosivity (described by PC2). 773903
publications-2186 Peer reviewed articles 2020 Nina Noreika, Tailin Li, David Zumr, Josef Krasa, Tomas Dostal, Raghavan Srinivasan Farm-Scale Biofuel Crop Adoption and Its Effects on In-Basin Water Balance Sustainability 10.3390/su122410596 Predictive Analytics Irrigation Systems In the face of future climate change, Europe has encouraged the adoption of biofuel crops by its farmers. Such land-use changes can have significant impacts on the water balance and hydrological behavior of a system. While the heavy pesticide use associated with biofuel crops has been extensively studied, the water balance impacts of these crops have been far less studied. We conducted scenario analyses using the Soil and Water Assessment Tool (SWAT) to determine the effects of farm-scale biofuel crop adoption (rapeseed) on a basin’s water balance. We found that rapeseed adoption does not support the goal of developing a sustainable agricultural landscape in the Czech Republic. The adoption of rapeseed also had disproportionate effects on a basin’s water balance depending on its location in the basin. Additionally, discharge (especially surface runoff ratios), evapotranspiration, and available soil water content display significant shifts in the rapeseed adoption scenarios. 773903
publications-2187 Peer reviewed articles 2021 Tomás R. Tenreiro, Margarita García-Vila, José A. Gómez, José A. Jiménez-Berni, Elías Fereres Using NDVI for the assessment of canopy cover in agricultural crops within modelling research Computers and Electronics in Agriculture 10.1016/j.compag.2021.106038 Data Management & Analytics Uncategorized No abstract available 773903
publications-2188 Peer reviewed articles 2021 Tailin Li, Jakub Jeřábek, Nina Noreika, Tomáš Dostál, David Zumr An overview of hydrometeorological datasets from a small agricultural catchment (Nučice) in the Czech Republic Hydrological Processes 10.1002/hyp.14042 Uncategorized Precipitation & Ecological Systems AbstractWe introduce the freely available web‐based Water in an Agricultural Landscape—NUčice Database (WALNUD) dataset that includes both hydrological and meteorological records at the Nučice experimental catchment (0.53 km2), which is representative of an intensively farmed landscape in the Czech Republic. The Nučice experimental catchment was established in 2011 for the observation of rainfall–runoff processes, soil erosion processes, and water balance of a cultivated landscape. The average altitude is 401 m a.s.l., the mean land slope is 3.9%, and the climate is humid continental (mean annual temperature 7.9°C, annual precipitation 630 mm). The catchment is drained by an artificially straightened stream and consists of three fields covering over 95% of the area which are managed by two different farmers. The typical crops are winter wheat, rapeseed, and alfalfa. The installed equipment includes a standard meteorological station, several rain gauges distributed across the basin, and a flume with an H‐type facing that is used to monitor stream discharge, water turbidity, and basic water quality indicators. Additionally, the groundwater level and soil water content at various depths near the stream are recorded. Recently, large‐scale soil moisture monitoring efforts have been introduced with the installation of two cosmic‐ray neutron sensors for soil moisture monitoring. The datasets consist of observed variables (e.g. measured precipitation, air temperature, stream discharge, and soil moisture) and are available online for public use. The cross‐seasonal, open access datasets at this small‐scale agricultural catchment will benefit not only hydrologists but also local farmers. 773903
publications-2189 Peer reviewed articles 2021 Idan Bahat, Yishai Netzer, José M. Grünzweig, Victor Alchanatis, Aviva Peeters, Eitan Goldshtein, Noa Ohana-Levi, Alon Ben-Gal, Yafit Cohen In-Season Interactions between Vine Vigor, Water Status and Wine Quality in Terrain-Based Management-Zones in a ‘Cabernet Sauvignon’ Vineyard Remote Sensing 10.3390/rs13091636 Uncategorized Irrigation Systems Wine quality is the final outcome of the interactions within a vineyard between meteorological conditions, terrain and soil properties, plant physiology and numerous viticultural decisions, all of which are commonly summarized as the terroir effect. Associations between wine quality and a single soil or topographic factor are usually weak, but little information is available on the effect of terrain (elevation, aspect and slope) as a compound micro-terroir factor. We used the topographic wetness index (TWI) as a steady-state hydrologic and integrative measure to delineate management zones (MZs) within a vineyard and to study the interactions between vine vigor, water status and grape and wine quality. The study was conducted in a commercial 2.5-ha Vitis vinifera ‘Cabernet Sauvignon’ vineyard in Israel. Based on the TWI, the vineyard was divided into three MZs located along an elongate wadi that crosses the vineyard and bears water only in the rainy winter season. MZ1 was the most distant from the wadi and had low TWI values, MZ3 was closest to the wadi and had high TWI values. Remotely sensed crop water stress index (CWSI) was measured simultaneously with canopy cover (as determined by normalized difference vegetation index; NDVI) and with field measurements of midday stem water potential (Ψstem) and leaf area index (LAI) on several days during the growing seasons of 2017 and 2018. Vines in MZ1 had narrow trunk diameter and low LAI and canopy cover on most measurement days compared to the other two MZs. MZ1 vines also exhibited the highest water stress (highest CWSI and lowest Ψstem), lowest yield and highest wine quality. MZ3 vines showed higher LAI on most measurement days, lowest water deficit stress (Ψstem) during phenological stage I, highest yield and lowest wine quality. Yet, in stage III, MZ3 vines exhibited a similar water deficit stress (CWSI and Ψstem) as MZ2, suggesting that the relatively high vigor in MZ3 vines resulted in higher water deficit stress than expected towards the end of the season, possibly because of high water consumption over the course of the season. TWI and its classification into three MZs served as a reliable predictor for most of the attributes in the vineyard and for their dynamics within the season, and, thus, can be used as a key factor in delineation of MZs for irrigation. Yet, in-season remotely sensed monitoring is required to follow the vine dynamics to improve precision irrigation decisions. 773903
publications-2190 Peer reviewed articles 2021 Xun Wu, Yanqi Xu, Jianchu Shi, Qiang Zuo, Ting Zhang, Lichun Wang, Xuzhang Xue, Alon Ben-Gal Estimating stomatal conductance and evapotranspiration of winter wheat using a soil-plant water relations-based stress index Agricultural and Forest Meteorology 10.1016/j.agrformet.2021.108393 Simulation & Modeling Precipitation & Ecological Systems No abstract available 773903