Search results for "HYDROLOGIC PROCESSES"

showing 2 items of 2 documents

Ecohydrology in Mediterranean areas: a numerical model to describe growing seasons out of phase with precipitations

2008

The probabilistic description of soil moisture dynamics is a relatively new topic in hydrology. The most common ecohydrological models start from a stochastic differential equation describing the soil water balance, where the unknown quantity, the soil moisture, depends both on spaces and time. Most of the solutions existing in literature are obtained in a probabilistic framework and under steady-state condition; even if this last condition allows the analytical handling of the problem, it has considerably simplified the same problem by subtracting generalities from it. <br><br> The steady-state hypothesis, appears perfectly applicable in arid and semiarid climatic areas like th…

DYNAMICSWet seasonSTRESSGrowing seasonSOIL-MOISTURElcsh:Technologylcsh:TD1-1066ACTIVE-ROLEEcohydrologyecohydrology rainfallPLANTSlcsh:Environmental technology. Sanitary engineeringWater contentlcsh:Environmental scienceslcsh:GE1-350HydrologyWATER-CONTROLLED ECOSYSTEMS; HYDROLOGIC PROCESSES; SOIL-MOISTURE; ACTIVE-ROLE; VEGETATION; CLIMATE; STRESS; PLANTS; DYNAMICSEcohydrologyMoisturelcsh:T[SDU.OCEAN] Sciences of the Universe [physics]/Ocean AtmosphereSettore ICAR/02 - Costruzioni Idrauliche E Marittime E Idrologialcsh:Geography. Anthropology. RecreationHYDROLOGIC PROCESSESVegetationGroundwater recharge[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces environmentCLIMATEWATER-CONTROLLED ECOSYSTEMSlcsh:GSoil water[SDU.STU] Sciences of the Universe [physics]/Earth SciencesEnvironmental scienceVEGETATIONHydrology
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Using Bayesian networks to describe hydrologic processes

2014

Masteroppgave i Informasjons- og kommunikasjonsteknologi IKT590 Universitetet i Agder 2014 The goal for this Masters thesis is to explore the use of dynamic Bayesian networks for describinghydrologic processes. The main intent is to try and provide better descriptions of the uncertainties thatare tied to dealing with such complex and partially unknown processes, while also trying to reducethese uncertainties. For this purpose I have translated part of a well known and widely useddeterministic model, the snow module of the HBV model, into a dynamic Bayesian network.

IKT590Bayesian networks ; hydrologic processes ; hydrologyVDP::Technology: 500::Information and communication technology: 550
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