Evaluation of three semi-distributed hydrological models in simulating discharge from a small forest and arable dominated catchment
Catchment scale hydrological models are promising tools for simulating the effect of catchment-specific processes and management on soil and water resources. Here, we present a model intercomparison study of runoff simulations using three different semi-distributed rainfall-runoff catchment models....
Gespeichert in:
Veröffentlicht in: | Biológia 2017-09, Vol.72 (9), p.1002-1009 |
---|---|
Hauptverfasser: | , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | Catchment scale hydrological models are promising tools for simulating the effect of catchment-specific processes and management on soil and water resources. Here, we present a model intercomparison study of runoff simulations using three different semi-distributed rainfall-runoff catchment models. The objective of this study was to demonstrate the applicability of the Hydrologiska Byrans Vattenavdelning (HBV-Light); Precipitation, Evapotranspiration and Runoff Simulator for Solute Transport (PERSiST); and INtegrated CAtchment (INCA) models on Somogybabod Catchment, near Lake Balaton, Hungary.
The models were calibrated and validated against observed discharge data at the outlet of the catchment for the period of January 1, 2006 -July 12, 2015. Model performance was evaluated using graphical representations, e.g. daily and monthly hydrographs and Flow Duration Curves (FDC) and model evaluation statistic; Nash-Sutcliffe efficiency (NSE) and coefficient of determination (
R
2
). The simulation results showed that the models provided good estimates of monthly average discharge (0.60-0.90 NSE; 0.60-0.91
R
2
) and satisfactory results for daily discharge (0.46-0.62 NSE; 0.50-0.67
R
2
). We found that the application of hydrological models serves as a powerful basis for ensemble modelling of average runoff and could enhance our understanding of the eco-hydrological and transport processes within catchments. On the other hand, it can highlight the uncertainty of model forecasts and the importance of goal specific evaluation. |
---|---|
ISSN: | 0006-3088 1336-9563 |
DOI: | 10.1515/biolog-2017-0108 |