Semi-distributed hydrological model of Amalie site

MSc. Hossein Abbasizadeh, MSc

Master's thesis

Abstract:

In order to simulate the rainfall-runoff processes accurately in a catchment, it is essential to calibrate our hydrological model properly. A well-calibrated hydrological model can give us a profound insight into different hydrological processes and consequently enhance water management, floods and droughts prediction and risk assessment in the study area. In this study, a semi-distributed hydrological model of the Amalie site is developed. The model parameters are constrained and identified using expert knowledge and available information in the study area, like soil moisture content and groundwater level. The catchments in the study area are divided into two main basins, namely \ac{BP} and \ac{KL}, and each basin is discretized according to the soil type and drainage system. The obtained results show that constraining the solution space of the model parameters based on expert knowledge and available data can increase the model accuracy and decrease the level of equifinality in finding effective parameters. In addition, using \ac{GW} and \ac{SM} information can increase the accuracy of the simulated water balance and reduce the effects of different discretizations, \ac{HRU} configurations, on fluxes and storage variables.

Keywords

Runoff prediction, Ungauged basins, dHRUM

Language used: English

Date on which the thesis was submitted / produced: 30. 3. 2022

Thesis defence

• Supervisor: doc. Ing. Petr Máca, Ph.D.

Czech University of Life Sciences Prague

Faculty of Environmental Sciences

Master programme:
Environmental Modelling