This paper presents a novel method for measuring the data for evaporation estimation as the key ingredient for the final decision of the reclamation form in the area of the Most Basin. The area has been intensively mined for many decades, resulting in significant landscape devastation, loss of natural habitats, and negative environmental impact. Currently, it is assumed that by 2050, three large-scale reclamation projects will be implemented in the area and it is necessary to decide which form of reclamation to choose. Whether to build lakes according to the currently valid rehabilitation and reclamation plan or to leave the area of the quarries in succession with the support of spontaneous inflow of water up to a naturally sustainable water level. Whether the first or second option is approved, or a combination of both, the prediction of evaporation from the free water surface will always be of great importance. To deal with this goal, the available meteorological data must be combined with a suitable calculation method. In our work, we suggest utilizing a measuring network of meteorological devices that describe the character of the weather in a given area of interest in a long-term time series. Together with the state-of-the-art calibration of models for calculating evaporation, the measurement network helps to provide more accurate evaporation data for a given area. Based on the analysis of research results, it will be possible to choose a specific right decision and thus contribute to the long-term sustainability of these reclamations.
After finishing the mining process, the best way to deal with the residual of open-cut coal mines in the north-western region of the Czech Republic has been proposed to be hydric recultivation. The area of our study is the first artificial Lake Most (formerly known as Ležáky-Most coal quarry) finished in 2014 and opened to the public in 2020 for recreational purposes. Since the lake is a closed system without natural inflow and outflow, the prediction of evaporation plays a crucial role in the securitization of long-term sustainability based on the capability of keeping the stable level of a dimension of the final water level. In this paper, we use the historical data consisting of the altitude of the lake level, its area, the perimeter of the shoreline, and especially the volume of refilled water. These data are compared against the computational methods; namely, the Penman-Monteith Equation and Hargreaves-Samani model calibrated by the method proposed in our previous work.
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