Abstract
We present an approach for the calibration of simplified evaporation model parameters based on the optimization of parameters against the most complex model for evaporation estimation, i.e., the Penman–Monteith equation. This model computes the evaporation from several input quantities, such as air temperature, wind speed, heat storage, net radiation etc. However, sometimes all these values are not available, therefore we must use simplified models. Our interest in free water surface evaporation is given by the need for ongoing hydric reclamation of the former Ležáky–Most quarry, i.e., the ongoing restoration of the land that has been mined to a natural and economically usable state. For emerging pit lakes, the prediction of evaporation and the level of water plays a crucial role. We examine the methodology on several popular models and standard statistical measures. The presented approach can be applied in a general model calibration process subject to any theoretical or measured evaporation.
Highlights
IntroductionEvaporation and evapotranspiration play a crucial role in water management in a wide range of human activities and there is a strong need for accurate estimates
Evaporation and evapotranspiration play a crucial role in water management in a wide range of human activities and there is a strong need for accurate estimates.This need leads to a considerable number of papers and studies that are offering new methods of such estimates or comparison of methods already used in hydrologic engineering applications
The results of estimation could be compared with reference evaporation/evapotranspiration calculated by FAO Penman–Monteith equation EFAO, which is recommended as the standard method [1,2]
Summary
Evaporation and evapotranspiration play a crucial role in water management in a wide range of human activities and there is a strong need for accurate estimates. This need leads to a considerable number of papers and studies that are offering new methods of such estimates or comparison of methods already used in hydrologic engineering applications. Monteith method results to other methods proposing the relations between input data less complicated and computationally less demanding Such a procedure was performed in the study [3] to find the best estimation of water lost from a covered reservoir
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