Land use changes and the intensification of agriculture since the 1950s have resulted in a deterioration of groundwater quality in many European countries. For the protection of groundwater quality, it is necessary to (1) assess the current groundwater quality status, (2) detect changes or trends in groundwater quality, (3) assess the threat of deterioration and (4) predict future changes in groundwater quality. A variety of approaches and tools can be used to detect and extrapolate trends in groundwater quality, ranging from simple linear statistics to distributed 3D groundwater contaminant transport models. In this paper we report on a comparison of four methods for the detection and extrapolation of trends in groundwater quality: (1) statistical methods, (2) groundwater dating, (3) transfer functions, and (4) deterministic modeling. Our work shows that the selection of the method should firstly be made on the basis of the specific goals of the study (only trend detection or also extrapolation), the system under study, and the available resources. For trend detection in groundwater quality in relation to diffuse agricultural contamination, a very important aspect is whether the nature of the monitoring network and groundwater body allows the collection of samples with a distinct age or produces samples with a mixture of young and old groundwater. We conclude that there is no single optimal method to detect trends in groundwater quality across widely differing catchments.
During the study of fungal succesion in the coal mine dump in Brzezinka (Poland), soil samples were examined for keratinolytic fungi. These micro-organisms were rather poorly represented in the area studied. Out of 300 soil samples examined, only 48 (16%) were positive for keratinolytic fungi.Trichophyton ajelloi andArthroderma curreyi were the prevailing species. These species occurred practically at two locations, i.e. on the naked carbon rocks inhabited by algae crops (chiefly byCyanophyta) and in the pine litter. It can be supposed that the occurrence of keratinolytic fungi was more dependent on the favourable general conditions such as increasing organic matter content, microflora, and humidity than on the presence of keratin remains in the soil. Because of the lack of potentially pathogenic fungi, the coal mine dump examined cannot be considered as an important source of fungal infection.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.