10 research outputs found
Laboratory investigation on erosion threshold shear stress of cohesive sediment in Karkheh Dam
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Investigation on the effect of inclined crest step pool on scouring protection in erodible river beds
Full text linkDetermination of the height of the vertical filter for heterogeneous Earth dams with vertical clay core
Full text linkArching effect and displacement on theoretical estimation for lateral force acting on retaining wall
No full textArtificial Neural Networks Based Approach for Identification of Unknown Pollution Sources in Aquifers
No full textThis work focuses on groundwater resources contaminations identification.
The problem of identifying an unknown pollution source in polluted
aquifers, based on known contaminant concentrations measurement in the
studied areas, is part of the broader group of issues, called inverse problems. In
this field, often pollution may result from contaminations whose origins are
generated in different times and places where these contaminations have been
actually found. To address such scenarios, it is necessary to develop specific
techniques that allow to identify time and space features of unknown contaminant
sources. The characterization of the contaminant source is of utmost
importance for the planning of subsurface remediation in the polluted site. In
this work, such identification is solved as an inverse problem in two stages.
Firstly a Multi Layer Perceptron neural network is trained on a set of numerical
simulations, and then the case under study is reconstructed by inverting the
neural model
Socio-economic impacts and challenges associated with the electrification of a remote area in rural Tanzania through a mini-grid system
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