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-2271 Peer reviewed articles 2017 Claudio BalbontĂ­n, Isidro Campos, Magali Odi-Lara, Antonio Ibacache, Alfonso Calera Irrigation Performance Assessment in Table Grape Using the Reflectance-Based Crop Coefficient Remote Sensing 10.3390/rs9121276 Simulation & Modeling Precipitation & Ecological Systems In this paper, we present the results of our study on the operational application of the reflectance-based crop coefficient for assessing table grape irrigation requirements. The methodology was applied to provide irrigation advice and to assess the irrigation performance. The net irrigation water requirements (NIWR) simulated using the reflectance-based basal crop coefficient were provided to the farmer during the growing season and compared with the actual irrigation volumes applied. Two treatments were implemented in the field, increasing and reducing the irrigation doses by 25%, respectively, compared to the regular management. The experiment was carried out in a commercial orchard during three consecutive growing seasons in Northern Chile. The NIWR based on the model was approximately 900 mm per season for the orchard at tree maturity. The experimental results demonstrate that the regular irrigation applied covered only 76% of the NIWR for the whole season, and the analysis of monthly and weekly accumulated values indicates several periods of water shortage. The regular management system tended to underestimate the water requirements from October to January and overestimate the water requirements after harvest from February to April. The level of the deficit of water was quantified using such plant physiological parameters as stem water potential, vegetative development (coverage), and fruit productivity. The estimated NIWR was roughly covered in the treatment where the irrigation dose was increased, and the analyses of the crop production and fruit quality point to the relative advantage of this treatment. Finally, we conclude that the proposed approach allows the analysis of irrigation performance on the scale of commercial fields. These analytic capabilities are based on the well-demonstrated relationship of the crop evapotranspiration with the information provided by satellite images, and provide valuable information for irrigation management by identifying periods of water shortage and over-irrigation. 633945
publications-2272 Peer reviewed articles 2017 N.R. Dalezios, N. Dercas, N.V. Spiropoulos and E. Psomiadis Water availability and requirements for precision agriculture in vulnerable agroecosystems European Water Simulation & Modeling Precipitation & Ecological Systems No abstract available 633945
publications-2273 Peer reviewed articles 2018 Zajíček, A., Fučík, P., Duffková, R., Maxová, J. How does targeted grassing of arable land influence drainage water quality and farm economic indicators? Int. J. Environ. Impacts 10.2495/EI-V1-N3-344-352 Simulation & Modeling River Basins No abstract available 633945
publications-2274 Peer reviewed articles 2018 Marco Petitta, Balazs Bodo, Adrienn Cseko, Andrea Del Bon, Isabel Fernandez, Clint M. GarcĂ­a Alibrandi, Mercedes Garcia Padilla, Eva Hartai, Klaus Hinsby, Peter Muller, Viktoria Mikita, Peter Szucs, Peter Van der Keur The KINDRA project: sharing and evaluating groundwater research and knowledge in Europe Acque Sotterranee - Italian Journal of Groundwater 10.7343/as-2018-324 Uncategorized Precipitation & Ecological Systems Groundwater knowledge and research in the European Union is often scattered and non-standardised, because of different subjects involved and different approaches from Member States. The Horizon2020 project KINDRA has conducted an EU-wide assessment of existing groundwater-related practical and scientific knowledge based on a new Hydrogeological Research Classification System, identifying more than 280 keywords related to three main categories (namely Operational Actions, Research topics and Societal Challenges) to be intersected in a 3D-diagram approach. The classification is supported by a web-service, the European Inventory of Groundwater Research, which acts not only as knowledge repository but also as a tool to help identify relevant research topics, existing research trends and critical research challenges. The records have been uploaded during the project by 20 national experts from National Associations of Geologists, under the umbrella of the European Federation of Geologists. The total number of metadata included in the inventory at the end of the project are about 2300, and the analysis of the results is considered useful for producing synergies, implementing policies and optimising water management in Europe. By the use of additional indicators, the database content has been analysed by occurrence of keywords, type of document, level of innovation. Using the three-axes classification, more easily understandable by 2D diagrams as bubble plots, occurrence and relationship of different topics (main categories) in groundwater research have been highlighted. This article summarizes the activities realized in relation to the common classification system and to the metadata included in the EIGR, showing the distribution of the collected information in different categories and attributes identified by the classification. 642047
publications-2275 Peer reviewed articles 2016 Odi-Lara, M., Campos, I., Neale, C.M.U., Ortega-FarĂ­as, S., Poblete-EcheverrĂ­a, C., BalbontĂ­n, C., Calera, A Estimating evapotranspiration of an apple orchard using a remote sensing-based soil water balance Remote Sensing Data Management & Analytics Precipitation & Ecological Systems No abstract available 633945
publications-2276 Peer reviewed articles 2017 Alfonso Calera, Isidro Campos, Anna Osann, Guido D’Urso, Massimo Menenti Remote Sensing for Crop Water Management: From ET Modelling to Services for the End Users Sensors 10.3390/s17051104 Data Management & Analytics Precipitation & Ecological Systems The experiences gathered during the past 30 years support the operational use of irrigation scheduling based on frequent multi-spectral image data. Currently, the operational use of dense time series of multispectral imagery at high spatial resolution makes monitoring of crop biophysical parameters feasible, capturing crop water use across the growing season, with suitable temporal and spatial resolutions. These achievements, and the availability of accurate forecasting of meteorological data, allow for precise predictions of crop water requirements with unprecedented spatial resolution. This information is greatly appreciated by the end users, i.e., professional farmers or decision-makers, and can be provided in an easy-to-use manner and in near-real-time by using the improvements achieved in web-GIS methodologies (Geographic Information Systems based on web technologies). This paper reviews the most operational and explored methods based on optical remote sensing for the assessment of crop water requirements, identifying strengths and weaknesses and proposing alternatives to advance towards full operational application of this methodology. In addition, we provide a general overview of the tools, which facilitates co-creation and collaboration with stakeholders, paying special attention to these approaches based on web-GIS tools. 633945
publications-2277 Peer reviewed articles 2018 Laura GonzĂĄlez-GĂłmez, Isidro Campos, Alfonso Calera Use of different temporal scales to monitor phenology and its relationship with temporal evolution of normalized difference vegetation index in wheat Journal of Applied Remote Sensing 10.1117/1.jrs.12.026010 Uncategorized Uncategorized No abstract available 633945
publications-2278 Peer reviewed articles 2015 Bruna Gumiero, Bruno Boz, Alessandra Lagomarsino, Paolo Bazzoffi, Rosario Napoli, Francesco Montemurro, Lamberto Borrelli, Rosa Francaviglia, Silvia Carnevale, Andrea Rocchini, Alessandro Elio Agnelli, Angelo Fiore, Giovanni Cabassi, Bruno Pennelli, Giorgio Moretti, Andrea Gasparini, Giuseppina Pipitone, Luigi Sansone Effectiveness of the cross-compliance Standard 5.2 'buffer strips' on protecting freshwater against diffuse nitrogen pollution Italian Journal of Agronomy 10.4081/ija.2015.772 Uncategorized Irrigation Systems No abstract available 633945
publications-2279 Peer reviewed articles 2018 Isidro Campos, Laura GonzĂĄlez-GĂłmez, Julio Villodre, Jose GonzĂĄlez-Piqueras, Andrew E. Suyker, Alfonso Calera Remote sensing-based crop biomass with water or light-driven crop growth models in wheat commercial fields Field Crops Research 10.1016/j.fcr.2017.11.025 Uncategorized Irrigation Systems No abstract available 633945
publications-2280 Peer reviewed articles 2016 Chiara Piccini, Claudia Di Bene, Roberta Farina, Bruno Pennelli, Rosario Napoli Assessing Nitrogen Use Efficiency and Nitrogen Loss in a Forage-Based System Using a Modeling Approach Agronomy 10.3390/agronomy6020023 Uncategorized Wastewater Treatment Plants In intensive agriculture, N supply often exceeds crop requirements, even in nitrate vulnerable zones (NVZ). In farmland, the N surplus gives rise to NO3− leaching and consequent groundwater pollution. The present study aimed at proposing measures to reduce N leaching and hence improve N efficiency in a buffalo livestock farm located in the NVZ of Latina plain (Central Italy). The farm was cultivated with forage crops in a double annual crop rotation: Italian ryegrass (Lolium multiflorum Lam.) in winter and silage corn (Zea mays L.) in summer. Mineral and organic fertilizers were supplied to both crops. The annual N budget and soil solution NO3-N concentrations were evaluated using a modeling approach. The performance of the WinEPIC model in simulating the response of the NO3-N concentration in percolation to the N application rate was assessed and validated by field measurements of the NO3-N concentration in the soil solution. Three scenarios were proposed to identify the best practice to minimize the environmental impact of N application without significant yield loss. Also, recommendations of best practices in N fertilization and animal manure spreading were given. This study thus provides useful preliminary information for decision-making in agriculture/environmental policies. 633945