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Статті в журналах з теми "Bassin Orgeval"
Vilain, G., J. Garnier, P. Passy, M. Silvestre, and G. Billen. "Budget of N<sub>2</sub>O emissions at the watershed scale: role of land cover and topography (the Orgeval basin, France)." Biogeosciences Discussions 8, no. 6 (November 8, 2011): 10823–57. http://dx.doi.org/10.5194/bgd-8-10823-2011.
Повний текст джерелаVilain, G., J. Garnier, P. Passy, M. Silvestre, and G. Billen. "Budget of N<sub>2</sub>O emissions at the watershed scale: role of land cover and topography (the Orgeval basin, France)." Biogeosciences 9, no. 3 (March 26, 2012): 1085–97. http://dx.doi.org/10.5194/bg-9-1085-2012.
Повний текст джерелаBENALLEGUE, M., M. NORMAND, S. GALLE, M. DECHAMBRE, O. TACONET, D. VIDAL-MADJAR, and L. PREVOT. "Soil moisture assessment at a basin scale using active microwave remote sensing: the Agriscatt '88 Airborne Campaign on the Orgeval watershed." International Journal of Remote Sensing 15, no. 3 (February 1994): 645–56. http://dx.doi.org/10.1080/01431169408954102.
Повний текст джерелаGarnier, J., G. Billen, G. Vilain, M. Benoit, P. Passy, G. Tallec, J. Tournebize, et al. "Curative vs. preventive management of nitrogen transfers in rural areas: Lessons from the case of the Orgeval watershed (Seine River basin, France)." Journal of Environmental Management 144 (November 2014): 125–34. http://dx.doi.org/10.1016/j.jenvman.2014.04.030.
Повний текст джерелаДисертації з теми "Bassin Orgeval"
Gomendy, Véronique. "Variabilités spatiale et temporelle des propriétés structurales et hydriques des horizons de surface de la couverture limoneuse du bassin versant d'Orgeval (Brie)." Nancy 1, 1996. http://www.theses.fr/1996NAN10301.
Повний текст джерелаFloury, Paul. "La dynamique des bassins versants sous l'angle de l'analyse chimique à haute fréquences des rivières." Thesis, Sorbonne Paris Cité, 2017. http://www.theses.fr/2017USPCC205.
Повний текст джерелаOur knowledge of the mechanisms of acquisition of inland water chemistry is limited by the frequency of sampling that can be carried out in the field. Sampling a river every 15 days means neglecting a variability in its composition that is beginning to be suspected and which informs processes or variations of short-term sources integrated over the entire catchment area. The automation of sampling and real-time measurement is an important challenge not only from the point of view of understanding the mechanisms controlling water chemistry, their temporal dynamics, the relations between concentrations and flows, but also from the point of view of applied for the detection of point pollution. This development is of interest to water professionals who are not yet legally constrained, but who could become so.As part of the CRITEX team project, a prototype of a chemical house called "RiverLab", a real laboratory for real-time field analysis, was developed and installed in November 2014 on the experimental watershed of Orgeval, a site studied for 50 years by the IRSTEA teams. This prototype is intended to be deployed on two other sites of the national watershed network (SOERE device). We focus on the two main natural forces that have undergone a watershed, namely precipitation inputs and solar energy revisited in terms of high frequency
Chkir, Najiba. "Mise au point d'un modèle hydrologique conceptuel intégrant l'état hydrique du sol dans la modélisation pluie-débit." Phd thesis, Marne-la-vallée, ENPC, 1994. http://www.theses.fr/1994ENPC9410.
Повний текст джерелаConceptual hydrological modelling fails in describing the temporal evolution of soil hydric state by the use of classic methods of soil moisture measurement. It is well known that soil hydrodynamic behaviour is highly heterogeneous in the catchment. New remote sensed techniques of measurements can provide information about the spatial variability of this date. Actuel conceptual models use an index that represents the soil water content. This approach is not adapted to the use of remotely sensed data. The aim of this research is to develop a software which can estimate the soil hydric state evolution and simulate basin outflows. Thus, we will be able to use the remotely sensed data. This study is based on two existing tools. The first is the hydrologic conceptual model GR3J which is used to simulate the runoff. The second is the physically based two layers model, issued from de « Deardorff’s schema », and which is used to estimate the moisture evolution o f the two soil layers. These models were calibrated apart using date from basins of different hydrodynamic and morphological characteristics. He final model is obtained by a combination of the two previous models and can provide the capacity of each of them. This study have been done on the Orgeval’s catchment. The final model have been successfully validated on the Brittany region (France) where the ERS-1 project is situated. The model can run with two functional modes depending on the soil moisture data availability (simulation and assimilation)