The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Based on the hydrology and sediment data, an artificial neural network model which has been applied maturely and widely in all kinds of artificial neural network is established to study the relationship of channel cubage under 0m isobath in North Branch with the flow and sediment discharge at Datong gauging station, and the flow split ratio of the North Branch. The structure of the network model is...
A well-validated wave model with No. 9912 typhoon is established using Delft-SWAN mode to study the effect of wind wave caused by typhoon on the navigation channel of Changjiang River Estuary. The wave factors including the wave height, wave length, wave period and wave steepness under one typhoon wind scenario---with velocity of 20m/s and direction of NNE35°, obtained from the statistical data, are...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.