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EN
In the years 2018-2019, in Lądek-Zdrój, about 700 metres northwest of the existing thermal water intakes, a well was drilled to a depth of 2.5km. TheinvestorwastheMunicipalityofLądek-Zdrójandthewellislocatedwithin the mining area designated for the structure of therapeutic thermal waters. The article presents the results of the work and research conducted (petrographic, thermal conductivity and permeability of rocks, concentration of radioactive elements, physicochemical properties of water, pumping test, etc.). Potentially, the well's discharge rate could be approximately 60 m3/h with a depression of about 70 metres. During the pumping test, the impact of the LZT-1 well on the spa intakes was observed. As a result, complete hydrodynamic tests were not performed, and the exploitable resources of this intake were not determined. The temperature at the bottom of the heated (period of time once mud circulation has stopped) well is 58.9oC, and the water exhibits properties similar to the therapeutic thermal waters used in the health resort. Long-term observations and studies of the regime of the Lądek-Zdrój thermal water deposit show that the development of optimal operating parameters for the LZT-1 well and spa intakes would make it possible to increase in the total amount of extracted water by approximately 25%, as well as with a higher temperature. This would enable the utilization of the heat from all intakes. Unfortunately, the well remains unused to this day.
EN
This study shows the results of long-term inland water monitoring using Sentinel-2 data for Głuszyńskie Lake in the years 2015–2022. Four water quality parameters: biological oxygen demand (BOD), dissolved organic carbon (DOC), chlorophyll concentration (CHL) and electrical conductivity (EC) were calculated according to formulas found in the literature. The results were validated based on measurements conducted in 2021 and 2022, where for BOD, DOC and CHL high determination coefficients (0.77 and 0.79) were observed, and the EC determination coefficient was equal to 0.45. The results show that empirical formulas can be used for qualitative analyses of inland water quality, while for quantitative analyses more extensive field work needs to be performed.
EN
The surface water table level is a crucial factor for the existence of wetland habitats, and valuable from the point of view of environmental protection. In particular, surface water table in a hydrological year play an important role, affecting the seasonal changes in conditions of the development of species inhabiting a given patch of vegetation. The occurrence of floods often determines the possibility of survival of a given plant community. Information on the seasonal variability of surface waters, and above all the range of seasonal floods, is very important from the point of view of planning protection activities in National Parks in order to preserve wetland habitats. Nowadays, remote sensing data is an important source of spatial information, particularly those characterized by low cost data acquisition and processing. One such source is imagery collected from satellites, along with products freely distributed by the European Space Agency. Satellites of the Sentinel constellation provide multi-spectral optical remote sensing images recorded at visible and infrared wavelengths. Due to the short satellite revisit time of the Sentinel, the images from this satellite constitute a potential source of information for the monitoring of moisture on wetlands with a high temporal resolution. In this study, the authors aim to demonstrate the possibilities associated with the use of satellite images to monitor the range of a free surface water table in the pilot area located within the basin of the Łasica Channel, located in the Kampinos National Park (Poland). The accuracy of the results of the remote sensing transformations will be assessed using high resolution RGB images obtained with the use of unmanned aerial vehicles (UAV) and control points measurements. The maps of free water table has been acquired as an result of ensemble regressors (Random Forest, Extra Trees, Bagging). Regressors has been learned and applied for two sessions. Promising results were obtained indicating the possibility of using the proposed method on a similar scale.
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