some biological characteristics of broodstock and juvenile kutum, rutilus kutum. were investigated using data collected from the estuaries of tajen and shirood rivers (tr and sr) (southern caspian sea basin) as well as from the caspian sea in 2012. the results showed higher condition factors (cf) in the male broodstocks kutum than those estimated in the female broodstock of both tr and sr. the ...

Analysis of patterns of temporal variation in community dynamics was conducted by combining two unsupervised artificial neural networks, the Adaptive Resonance Theory (ART) and the Kohonen network. The field data used as input for training represented monthly changes in density and species richness in selected taxa of benthic macroinvertebrates collected in the Suyong River in Korea from Septem...

An autoassociative artificial neural network (AANN) instrument channel monitoring technique has been developed for sensor and associated instrument channel online calibration verification. Several AANN models, each modeling a group of interrelated signals, are utilized to provide plant-wide real-time estimation of true process values. This method utilizes a genetic algorithm search approach sup...

An accurate water stage prediction allows the pertinent authority to issue a forewarning of the impending flood and to implement early evacuation measures when required. Existing methods including rainfall-runoff modeling or statistical techniques entail exogenous input together with a number of assumptions. The use of artificial neural networks (ANN) has been shown to be a cost-effective techn...

recently, hardware sensors are widely used in monitoring and measurement of water quality parameters. constraint of the instrument to measure some water quality parameters such as the 5-day biochemical oxygen demand (bod5), which are time consuming, causes efforts are diverted to the use of software sensors for online prediction of bod5. the main goal of this research is developing an appropria...

A large amount of accurate river cross-section data is indispensable for predicting river stages. However, the measured river cross-section data are usually sparse in the transverse direction at each cross-section as well as in the longitudinal direction along the river channel. This study presents three algorithms to resample the river cross-section data points in both the transverse and longi...

5. Atmosphere-Ocean General Circulation Models 7. Global Prediction: Permafrost 8. Predicting Lake and River Ice 10. Operational Sea-Ice Analysis and Forecasting at met.no 11. Arctic Council Climate and Cryosphere Project 12. Seasonal Forecast of Antarctic Sea Ice 13. The Global Cryosphere Watch 14. Towards a Community Arctic System Model 16. Simulation of Glacier Mass and Energey Balance 18. T...