The aim of the article is to investigate the water quality in the Prut River, which tends to tourist destinations, and to establish the interdependence of the water pollution index with the number of tourists visited in the Yaremche Tourist Cluster. The article scientifically proves the indirect influence of tourist flow on water quality in the Prut River. Water samples from the Prut River were taken, such as pH, temperature, nitrates and nitrites, phosphates, ammonium and mineralization were analyzed. Using membrane tests Sensafe in water samples, we determined the content of the following metals: Ni, Co, Zn, Cd, Hg, Fe. Based on the results, we calculated the water pollution index, which is 0.52. It is established that the water is clean. IZV is determined at each point of water withdrawal in the dynamics during 2016–2020, the interdependence of water quality of the Prut River with the number of visitors to the tourist destination. The forecast of the index of water pollution and tourist flow for 2021-2025 is carried out using the data received in the operating system Exel. It is proved that with the growth of tourists the water quality deteriorates, although it fluctuates within the norm.
The development of tourism in valuable natural areas is becoming increasingly dynamic, and therefore this phenomenon requires a more thorough investigation. An increased tourist traffic in a national park entails a range of consequences, which are not irrelevant for the protected nature. The aim of the study is a spatial and quantitative description of tourist traffic in the Stołowe Mountains National Park, basing on the data received from pyro-electric counters in Monitoring System of tourist traffic. The system was created through to cooperation between national park staff and Department of Tourism and Recreation Adam Mickiewicz University in Poznan (Rogowski, Małek, 2016). In the period from 16th September 2016 to 31th August 2017 were 858 346 entries to national park. July and August were the most popular months which accounts for 22% of the total number of entries. All data was presented the visitors flow indicating the most popular areas and regions and the trails sections.
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