ANN Model for Prediction of Rockfill Dam Slope Stability

Dam safety and potential failure is one of the issues with the highest risk in water resources management. The dam slope stability is adversely influenced by the natural seepage process in the dam. Thus, monitoring of the pore and total pressures in the dam core is essential in the seepage process analysis. It is possible during the dam operation period to have one or more cells malfunctioning, after years of operation. Sometimes it is technically not possible to replace the cell or the costs of the replacement are too high and not economically justified. At the Pridvorica Dam, several instruments - cells for pore and total pressure monitoring malfunctioned. The objective of this study is to develop a neural network model for the prediction of the pore and total pressure on the malfunctioning cells and to demonstrate its quick and effective practical application for identifying complex non-linear relationship between the input and output variables. The proposed approach can be a very helpful tool for modeling of the stochastic behavior of the dam in order to give adequate warning of soil pressures to prevent failures

ENVIRONMENTAL ASSESSMENT OF THE HYDRAULIC STRUCTURES BY VARIOUS ARTIFICIALIZATION PARAMETERS

Abstract. The natural rivers and their flood areas are among the most complex and diverse ecosystems in the world. Traditional structural solutions in river training works are focused on basic requirements as flood protection, littoral zone protection, river bed protection, providing the space for economic development. In this study a method of anticipated assessment of certain physical impact of designed river training works is presented, perceived as global effect of river bed artificialization. The method mainly serves to compare the various possible solutions of river training works, based on the „artificialization parameter” also named „global impact GI”. Key words: river training works, environmental cost

High Embankment Dam Stability Analysis Using Artificial Neural Networks

Regular surveillance, data acquisition, and visual observation of high embankment dams are extremely important for the stability analysis of these structures. The stability issues that could occur during a dam\u27s lifetime are mainly related to slope instability and internal erosion. The aim of continuous dam security monitoring and field measurement is to identify priority flow paths in the dam body, i.e. cracks and the erosion process. A key parameter for embankment dam stability assessment is the pore water pressure (PWP) response in the clay core. Increasing pore water pressure results in shear strength reduction and can cause dam instability. In this paper, four different models based on artificial neural networks will be developed for pore water pressure prediction in an embankment dam clay core, based on meteorological, hydrological, and geotechnical data. These models will be compared and the model that gives the smallest prediction error will be presented. In the light of climate change, the main objective of this paper is to find the model that can be used for embankment dam stability prediction in extreme weather events

BIOAKUMULACIONI I TRANSLOKACIONI POTENCIJAL VRSTE EUPATORIUM CANNABINUM L.

Cilj ovog rada bio je da se odrede koncentracije nekih metala (Ca, Mg, Mn, Fe, Zn, Ni, Cr) u zemljištu i vrsti Eupatorium cannabinum L. na jalovištu i flotacije rudnika DOO “Rudnik”. Dobijeni rezultati pokazuju da su koncentracije Cd, Pb, Cr, Ni i Cu u istraživanom zemljištu prelazile propisane maksimalno dozvoljene koncentracije, Cd, Pb, Cr, Ni, Cu i Zn granične, a Pb i Cu remedijacione vrednosti ovih metala u zemljištu saglasno uredbi i pravilniku Republike Srbije. Najveći sadržaj svih ispitivanih metala pokazao je list vrste E. canabinum u kojima su koncentracije Cu, Ni, Pb i Cd bile u nivou toksičnih koncentracija, a Cr iznad toksične koncentracije. Koren je sadržao više Mn, Ni, Fe i Cu od stabla, a stablo Zn, Cr, Ca, Mg, Pb i Cd od korena proučavane vrste. Na osnovu dobijenih rezultata možemo preporučiti upotrebu vrste E. canabinum u fitoekstrakciji ispitivanih metala iz zagađenih zemljišta, pre svega Zn, Cr, Ca, Mg, Pb i Cd.Publishe