نتایج جستجو برای: distributed hydrological model

تعداد نتایج: 2314453  

2002
Lawrence E. Band

Band, L.E., Patterson, P., Nemani, R. and Running, S.W., 1993. Forest ecosystem processes at the watershed scale: incorporating hillslope hydrology. Agric. For. Meteorol., 63: 93-126. An approach to distributed modeling of watershed hydro-ecological processes over large spatial scales is described. A data and simulation system, RHESSys (Regional HydroEcological Simulation System), combines a se...

2011
J. G. Hernández A. J. Schleiss

The MINERVE project was initiated for flood management in the Upper Rhone river basin. Its first goal is the prediction of floods. The second one is the optimum management of the complex system of hydropower plants located in the basin in order to diminish the peak discharge in the Rhone River and its tributaries. The MINERVE Interactive Decision Support (MINDS) proposes turbine and bottom outl...

Journal: :Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering) 2013

Journal: :ISPRS Int. J. Geo-Information 2016
Xi Zhai Peng Yue Mingda Zhang

Rapid advancements in Earth-observing sensor systems have led to the generation of large amounts of remote sensing data that can be used for the dynamic monitoring and analysis of hydrological disasters. The management and analysis of these data could take advantage of distributed information infrastructure technologies such as Web service and Sensor Web technologies, which have shown great pot...

Journal: :Computers & Geosciences 2013
P. Sanzana Sonja Jankowfsky Flora Branger Isabelle Braud X. Vargas Nancy Hitschfeld-Kahler Jorge Gironás

Distributed hydrological models rely on a spatial discretization composed of homogeneous units representing different areas within the catchment. Hydrological Response Units (HRUs) typically form the basis of such a discretization. HRUs are generally obtained by intersecting raster or vector layers of land uses, soil types, geology and sub-catchments. Polylines maps representing ditches and riv...

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