The use of database and methods of artificial intelligence - neural networks for observing the changes in the subsoil waters in Beskid Śląski

Abstract

The article deals with the use of relational database and application of neural networks for observing the influence of the environment and human activities in shaping the chemism of subsoil waters. The possibility of using the database has been investigated with the use of chosen waters coming from the saturation area of Beskid Śląski. The aforementioned area is of great regional importance for providing drinkable water. The relational database is a kind of integrated system of collecting, processing and interpreting the results of scientific research. Scientifically described software allows for collecting, selective search and analysis of the data refering to any physico-chemical parameters of water samples. The standard equipment of IBM PC is required. The material collected is analysed statistically and can be presented graphically in order to illustrate the accomplished activities in a better way. Owing to the use of software, it is possible to interpret the many - years data and compare them taking into consideration all accessible elements of the environment and the changes in urban planning or even the constantly changing legal norms. The database has the open character and can be completed with any amount of data from different spheres of knowledge. At present the research is carried out on application of artificial intelligence - neural networks for correlating the research results of the physico-chemical samples collected in the database with the factors of the environment.