Modelling hydrological balance using lumped and semi-distributed hydrological model

B.Sc. Hatice Türk

Master's thesis

Abstract:

Successful water resource management necessitates the use of a well-calibrated hydrologicalmodel. A hydrological model aims to properly describe hydrological systems in order toassess the impact and risk that is associated with water resource management in a river basin(Beven, 2006). Accordingly, a clear representation of simplification of the real-world systemby using mathematical models and assumptions all together with input and forcing data, modelparameters, and their initial values is irresistible.Different multi-objective and multi-base flowfilter techniques have been evaluated in this study for the calibration of distributed HydrologicalResponse Unit Model hydrological model applied to the case of the 671 CONUS catchmentswith three different forcing data(Maurer, nldas and daymet forcing). The calibration processinvolved the use of four objective functions from goodness of fit measures (minimizingNSE,minimizingKGE, minimizingIOA, minimizing WSSR) and three base flowfilters (Lyne andHollick, Chapman and Maxwell, and Eckhardt filters).The calibration scenarios applied showedthat they were capable of predicting runoff with a reasonable level of accuracy for most cases.For the particular case of Maurer forcing, its found that the objective function of nse and Eckhardtbase flow filter methods performed best for both total run of and base flow generations

Keywords

Multi- objective function calibration, CAMELS data set, low-flow indices, Hydrological modelling

Jazyk práce: English

Datum vytvoření / odevzdání či podání práce: 31. 3. 2021

Obhajoba závěrečné práce

• Vedúci: doc. Ing. Petr Máca, Ph.D.

Czech University of Life Sciences Prague

Faculty of Environmental Sciences

Master programme / odbor:
Landscape Engineering / Environmental Modelling