1. bookVolumen 67 (2019): Heft 3 (September 2019)
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Zeitschrift
eISSN
1338-4333
Erstveröffentlichung
28 Mar 2009
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4 Hefte pro Jahr
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access type Uneingeschränkter Zugang

Finding behavioral parameterization for a 1-D water balance model by multi-criteria evaluation

Online veröffentlicht: 26 Jun 2019
Seitenbereich: 213 - 224
Eingereicht: 30 Apr 2018
Akzeptiert: 14 Nov 2018
Zeitschriftendaten
License
Format
Zeitschrift
eISSN
1338-4333
Erstveröffentlichung
28 Mar 2009
Erscheinungsweise
4 Hefte pro Jahr
Sprachen
Englisch
Abstract

Evapotranspiration is often estimated by numerical simulation. However, to produce accurate simulations, these models usually require on-site measurements for parameterization or calibration. We have to make sure that the model realistically reproduces both, the temporal patterns of soil moisture and evapotranspiration. In this study, we combine three sources of information: (i) measurements of sap velocities; (ii) soil moisture; and (iii) expert knowledge on local runoff generation and water balance to define constraints for a “behavioral” forest stand water balance model. Aiming for a behavioral model, we adjusted soil moisture at saturation, bulk resistance parameters and the parameters of the water retention curve (WRC). We found that the shape of the WRC influences substantially the behavior of the simulation model. Here, only one model realization could be referred to as “behavioral”. All other realizations failed for a least one of our evaluation criteria: Not only transpiration and soil moisture are simulated consistently with our observations, but also total water balance and runoff generation processes. The introduction of a multi-criteria evaluation scheme for the detection of unrealistic outputs made it possible to identify a well performing parameter set. Our findings indicate that measurement of different fluxes and state variables instead of just one and expert knowledge concerning runoff generation facilitate the parameterization of a hydrological model.

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