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

Title:

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

Creator:

Casper, Markus C., Mohajerani, Hadis , Hassler, Sibylle , Herdel, Tobias , and Blume, Theresa

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:13f3c4e6-d5d9-4024-af46-093ac1f908d6
uuid:13f3c4e6-d5d9-4024-af46-093ac1f908d6
doi:10.2478/johh-2019-0005

Subject:

forest evapotranspiration, water balance simulation, soil parameterization, and behavioral model

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

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.

Language:

Slovak

Rights:

http://creativecommons.org/licenses/by-nc-sa/4.0/
policy:public

Coverage:

213-224

Source:

Journal of hydrology and hydromechanics | 2019 Volume:67 | Number:3

Harvested from:

CDK

Metadata only:

false