The summer precipitation from June to September in the source region of the Yellow River accounts for about 70% of the annual total, and its decrease would cause further water shortage problems. Consequently, the objectives of this study are to improve the understanding of the linkages between the precipitation in the source region of the Yellow River and global teleconnection patterns, and to predict the summer precipitation based on revealed teleconnections. Spatial variability of precipitation was investigated based on three homogeneous sub-regions. Principal component analysis and singular value decomposition were used to find significant relationships between the precipitation and global teleconnection patterns using climate indices. A back-propagation neural network was developed to predict the summer precipitation using significantly correlated climate indices. It was found that precipitation in the study area is positively related to North Atlantic Oscillation, West Pacific Pattern and El Niño Southern Oscillation, and inversely related to Polar Eurasian pattern. Summer precipitation was overall well predicted. The Pearson correlation coefficient between predicted and observed summer precipitation was, in general, larger than 0.6. The results can be used to predict the summer precipitation and to improve integrated water resources management in the Yellow River basin.
Nanobite remediates boyne river oil spill - Case study
On the 6 September 2007, an oil spill from a fuel dump leaks into the beautiful Boyne River, County Louth, Ireland. Local wild fowl and their nesting areas are endangered, as is the local water supply. The coastguards deploy conventional booms to contain the spill but decide against the use of conventional chemical detergents because of the obvious damage to flora and fauna. Drogheda Borough Council require a treatment that is 100% environmentally safe. They chooseNanobite Liquid, an inert, non-toxic and...
Case study - Control of dredging works in the Danube River - Austria
The Austrian waterway management has introduced an automatic system to monitor a series of barges, which calculates the dredged material as a basis for handling invoices of the dredging companies. Before converting to a remote data transmission option, all calculations were entered manually. The datalogger saves the cost for hand-writing documentation of the dredging works by external staff and guarantees an automatic and standardized procedure of cubature calculations. Technology used: OTT NetDL DataloggerOTT...
Case study - Discharge measurement at the river
Due to the seasonally strong weed growth and low flow during low water periods the measurement of water level and flow at the measurement site "Kleinraschuetz“ was rather distorted. It had to be corrected by putting in additional manpower for manual measurements.Therefore it was decided to modernize the station completely and to install a stationary discharge measuring system. The challenge of the measurement situation was to find a solution that measures reliably at all water levels from a low level of 29...
Water quality and antifungal susceptibility of opportunistic yeast pathogens from rivers
Yeasts from water sources have been associated with diseases ranging from superficial mucosal infections to life threatening diseases. The aim of this study was to determine the water quality as well as diversity and antifungal susceptibility of yeasts from two rivers. Yeast levels and physico-chemical parameter data were analyzed by principal component analysis to determine correlations between physico-chemical data and yeast levels. Yeast morphotypes were identified by biochemical tests and 26S rRNA gene...
Water transparency distribution under varied currents in the largest river-connected lake of China
Water transparency is an important ecological indicator for shallow lakes. The largest shallow lake, Poyang Lake, as well as the most typical river-connected lake in China was selected as the research area. In view of the complicated water-sediment conditions induced by its frequent water exchange with external rivers, the dominant factors driving water transparency were determined against the field investigated data from 2003 to 2013 and a specific driving function was established. A numerical model coupling...