1,721,014 research outputs found
Indicateur de risque de contamination de l´eau par le phosphore (IRCE-P): manuel d´utilization des algorithmes de l´IRCE-P
Full text linkAutora colaboradora:
Dechmi, Farida. IRCE_P Algorithme général. Section 1, p. 3-6.
Dechmi, Farida. Transport-Hydrologie. Section 3, p. 60-63.
Dechmi, Farida. Drainage de surface. Section 3.3, p. 75-78.
Dechmi, Farida. Drainage souterrain. Section 3.4, p. 79-85.
Dechmi, Farida. Indice topographique. Section 3.5, p. 86-91.Ce projet fait partie du programme national d’analyse et de rapport sur la santé agroenvironnementale
(PNARSA) du cadre stratégique pour l’agriculture (CSA) des gouvernements fédéraux, provinciaux et
territoriaux (2003-2008)
A Farm-Scale Water Balance Assessment of Various Rice Irrigation Strategies Using a Bucket-Model Approach in Spain
No full text22 Pags.- 7 Figs.- 7 Tabls. Data Availability Statement: The raw data supporting the conclusions of this article will be made available by the authors on request. © 2025 by the authors.
Licensee MDPI, Basel, Switzerland.
This article is an open access article
distributed under the terms and
conditions of the Creative Commons
Attribution (CC BY) license.Making effective decisions about scaling up on-farm irrigation practices to the district level requires a comprehensive assessment of irrigation management at the farm level. In this context, a bucket-type water mass balance model was developed, calibrated, and validated over five irrigation seasons on a 121-hectare rice farm located in the lower Ter River valley (north-east Spain), to assess the water use efficiency and the impact of different irrigation practices on water savings. The model was implemented considering the spatial variability of the soils within the farm. It showed a satisfactory performance in both the calibration (2020, 2021, 2022) and validation (2023, 2024) cropping seasons, with NSE values greater than 0.50, PBIAS lower than ±20%, and RSR lower than 0.70. After model validation, the simulation of alternative water management practices revealed that the 10-day fixed-turn irrigation reduced irrigation water use by 30% compared to the traditional water management, although it may negatively impact rice yield. Simulations of an early irrigation cut-off at the end of the season and dry seeding with delayed flooding accounted for 17% and 15% irrigation water savings, respectively. The implementation of the no-runoff practice only accounted for a 6% reduction in water use. The water-saving potential of the simulated strategies was mainly driven by shortening the flooded period of rice paddies, thus demonstrating that managing the ponding water level is critical to diminishing water use in rice irrigation.This research was carried out within the framework of MEDWATERICE and PROMEDRICE projects. Both projects are part of the PRIMA program supported by the European Union, and received funding from the Spanish Agencia Estatal de Investigación under grant agreements PCI2019-103738 and PCI2023-143435, respectively, as part od PRIMA program. This work was also supported by the Ministerio de Ciencia, Innovación y Universidades of Spain through an FPU predoctoral grant, under the grant agreement FPU20/01123.Peer reviewe
Seguimiento de la calidad y cantidad de los retornos de riego en Riegos del Alto Aragón. Estado de la cuestión
Full text linkPublishe
Gestión del agua en sistemas de riego por aspersión en el valle de Ebro : análisis de la situación actual y simulación de escenarios
Full text link
Study of water use en the Loma de Quinto de Ebro district
No full textPreliminares de la publicación : Portada, Resúmenes, Índice (Obra completa: 135 Pags.). Thesis submitted for the Degree of Master of Science (Centro Internacional de Altos Estudios Agronómicos Mediterráneos). Travail réalisé au Laboratoire d'Agronomie et d'Environnement CSIC/DGA (Conseil Supérieur de la Recherche Scientifique / Service Régional de la Recherche Agronomique), Saragosse, sous l'encadrement conjoint du Dr. Enrique PLAYAN et du Dr. José Mª FACI.[FR] L'eau représente le principal facteur limitant de la production agricole dans les milieux arides et semi-arides. Actuellement, l'efficience de son utilisation est devenue une préoccupation majeure au niveau de ces régions. Cette étude a été initiée dans le but de caractériser l'utilisatio de l'eau au niveau de la communauté des irriguants de la Loma de Quinto de l'Ebro. Le cout du metre cube d'eau d'irrigation dans cette communauté est tres élevée en comparaison avec d'autres périmetres du basin versant de l'Ebro.[ES] El agua representa el principal factor limitante de la producción agrícola en los medios áridos y semiáridos. Actualmente, la eficiencia de su uso se ha convertido en una gran preocupación en estas zonas. El objetivo de este estudio es caracterizar el uso del agua en la comunidad de regantes de la Loma de Quinto de Ebro. El coste del agua de riego en esta comunidad es elevado en comparación con otras comunidades de la cuenca del Ebro.[EN] Water represents the principal limiting factor for agricultural production in arid and semiarid regions. At present, efficiency in the use of water is becoming an increasing preoccupation in these regions. The goal of this study is to characterise the use of water in the Loma de Quinto de Ebro district. The cost of irrigation water in this district is very high in comparison with other districts ofthe Ebro river basin.Peer reviewe
Adapting the CROPGRO model to simulate alfalfa growth and yield
Full text link14 Pags.- 6 Figs.- 6 Tabls. Available freely online through the author-supported open access option.
Copyright © 2018 by the American Society of Agronomy. This is an open access article distributed under the CC BY-NC-ND license.Despite alfalfa’s global importance, there is a dearth of crop simulation models available for predicting alfalfa growth and yield with its associated composition. The objectives of this research were to adapt the CSM-CROPGRO Perennial Forage Model for simulating alfalfa growth and yield and to describe model adaptation for this species. Data from six experimental plots grown under sprinkler irrigation in the Ebro valley (Northeast Spain) were used for model adaptation. Starting with parameters for Bracharia brizantha, the model adaptation was based on values and relationships reported from the literature for cardinal temperatures and dry matter partitioning. A Bayesian optimizer was used to optimize temperature effects on photosynthesis and daylength effects on partitioning and an inverse modeling technique was employed for nitrogen fixation rate and nodule growth. The calibration of alfalfa tissue composition was initiated from soybean composition analogy but was improved with values from alfalfa literature. There was considerable iteration in optimizing parameters for the processes outlined above where comparisons were made to measured data. After adaptation, the Root Mean Square Error and d-statistic of harvested herbage averaged across 58 harvests (yield range: 990–4617 kg ha–1) were 760 kg ha–1 and 0.75, respectively. In addition, good agreement was observed for Leaf Area Index (LAI) (LAI range: 0.1–6.7) with d-statistic of 0.71. Simulated belowground mass was within the range of literature values. The results of this study showed that CROPGRO-PFM-Alfalfa can be used to simulate alfalfa growth and development. Further testing with more extensive datasets is needed to improve model robustness.This work was funded by the Ministry of Economy and
Competitiveness of the Spanish Government through the research
grants (AGL2013-48728-C2-2-R). We thank this Ministry for
awarding Wafa Malik a predoctoral fellowship and financial support
for research abroad internship at the University of Florida.Peer reviewe
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
- …
