River quality analysis is an important activity which, in Serbia, has been performed using the Serbian Water Quality Index (SWQI). This is a measure based on a weighted aggregation of 10 water quality parameters. In this work, alternative methods drawing on visualisation approaches used in multi-criterion decision analysis are applied to the problem of evaluating river quality in the Danube. Two methods are considered: one which constructs a graph using the dominance relation combined with a further multi-criterion ranking method, average rank, and the other in which the dimensionality of the data is reduced using PCA for visualisation. Results for data collected in 2010 are analysed and compared with the corresponding SWQI values for the river in that year, and we find that by employing these methods it is possible to reveal more information within the data than is possible by using SWQI alone.

This paper aims to assess water quality of Danube River in Serbia for 2010. Two methodologies were applied for this purpose: Serbian Water Quality Index (SWQI) and Canadian Water Quality Index (CWQI). WQI value is dimensionless, single number ranging from 0 to 100 (best quality) derived from numerous physical, chemical, biological and microbiological parameters. SWQI was mainly good and very good. This methodology includes parameters for assessment of organic loading, but does not involve parameters of heavy metals concentration. For that purpose CWQI was used. Besides overall, CWQI was calculated for following uses: aquatic habitat, drinking, recreation, irrigation and livestock. Overall CWQI was marginal and fair, which was equivalent with poor and good SWQI. CWQI methodology showed increased concentration of copper in all cases which affected overall water quality and aquatic habitat while increased turbidity in many cases had negative influence on drinking water. Differences between SWQI and CWQI resulted from different methodology: different methods of calculation and parameters. In order to get more comparable results it is necessary to develop unique WQI methodology. [Projekat Ministarstva nauke Republike Srbije, br. 47007

Forest fires that occurred in Portugal on June 18, 2017, caused several tens of human casualties. The cause of their emergence, as well as many others that occurred in western Europe at the same time remained unknown. Taking into account consequences, including loss of human lives and endangerment of ecosystem sustainability, discovering of the forest fires causes is the very significant question. The heliocentric hypothesis has indirectly been tested, according to which charged particles are a possible cause of forest fires. We must point out that it was not possible to verify whether in this specific case the particles by reaching the ground and burning the plant mass create the initial phase of the formation of the flame. Therefore, we have tried to determine whether during the critical period, i. e. from June 15-19 there is a certain statistical connection between certain parameters of the solar wind and meteorological elements. Based on the hourly values of the charged particles flow, a correlation analysis was performed with hourly values of individual meteorological elements including time lag at Monte Real station. The application of the Adaptive Neuro Fuzzy Inference System models has shown that there is a high degree of connection between the flow of protons and the analyzed meteorological elements in Portugal. However, further verification of this hypothesis requires further laboratory testing.

This study aims to present the potential for sustainable tourism development on Vlasina Lake, which is, along with its surroundings, declared as a Ramsar site, Natural Asset of Exceptional Importance, IBA, IPA, PBA and Emerald area. A survey conducted among the residents indicated that they expressed positive attitudes towards sustainable tourism development, even though a small percentage of them are employed in tourism. Considering the lake as the most valuable part of this area, this study emphasized water quality assessment as the necessary condition for sustainable tourism development. Water quality indices (SWQI, CWQI and WPI) were used for water quality assessment for the period 2013–2022. Based on SWQI, Vlasina Lake has a good to excellent water quality and, according to WPI, has clean water suitable for tourism and recreation. The CWQI for overall water quality ranged from marginal to good. It is the highest for recreation, but it is based on only one parameter (pH), which is the limitation of this methodology. Based on field research, survey, water quality assessment and previous studies, it is concluded that this area has favorable conditions for developing various types of tourism, which could contribute to the future development of this undeveloped and unpopulated area.