Google Earth, a software based on satellite’s images and database of navigation, gains features of high resolution, integrated images, quick update, convenience, simpleness and free cost. Practice of this software shows that it plays an important role in mapping, construction and river research. Based on the fundamental features of Google Earth, this passage makes an introduction to its applica...

Mercury stable isotope abundances were used to trace transport of Hg-impacted river sediment near a coal ash spill at Harriman, Tennessee, USA. δ(202)Hg values for Kingston coal ash released into the Emory River in 2008 are significantly negative (-1.78 ± 0.35‰), whereas sediments of the Clinch River, into which the Emory River flows, are contaminated by an additional Hg source (potentially fro...

Whitewater boaters often choose a river based on their preferences for attributes important for their trip experience. This study explored whether preferences and tradeoffs of whitewater boaters for social, resource, and managerial attributes of riverscapes differ among a high and a low use river in the United States by employing a stated choice approach. River trip scenarios were displayed usi...

Rivers can absorb certain amounts of contamination relying on different factors such as: river discharge, the primary conditions of the river, the river depth, discharge and the river viscosity of the offloaded wastes in the river. From parameters of water quality point of view, it is recom-mended to determine some parts of the river which are lower than the standard level in order to find out ...

Clostridium perfringens (CP) and sulphite reducing clostridia (SRC) densities in the Selangor River, Bernam River and Tengi River Canal were examined between April 2007 and January 2008. Water samples were taken from two or three locations along each river, using either depth-integration or grab sampling methods. The downstream sampling site of the Selangor River, Rantau Panjang, reported the h...

In previous classification studies, three non-parametric classifiers, Random Forest (RF), k-Nearest Neighbor (kNN), and Support Vector Machine (SVM), were reported as the foremost classifiers at producing high accuracies. However, only a few studies have compared the performances of these classifiers with different training sample sizes for the same remote sensing images, particularly the Senti...

Seasonal rainfall in many regions is influenced by global climatic parameters such as El Nino Southern Oscillation (ENSO), La Nina. Seasonal rainfall predictions are based on such Global climatic parameters. However, for operational purposes, such as reservoir operation or river basin management in a larger context, rainfall data at a finer time interval are required. In this paper, a temporal ...

In Catalonia (Spain), each university is required by law to offer lecturers a learning framework. This requirement is met by specialized centers: at our technical university, Universitat Politècnica de Catalunya (UPC) this center is the Institute for Education Sciences (ICE), to which the authors of this article belong. This institute offers training to both new and senior lecturers. This train...

The paper presents the state-of-the-art in flood forecasting and simulation applied to a river flood analysis and risk prediction. Different water flow forecasting and river simulation models are analysed. An advanced river flood forecasting and modelling approach developed within the ongoing project INFROM is described. It provides an integrated procedure for river flow forecasting and simulat...