Inicio  /  Hydrology  /  Vol: 5 Núm: 1 Par: March (2018)  /  Artículo
ARTÍCULO
TITULO

Merging Real-Time Channel Sensor Networks with Continental-Scale Hydrologic Models: A Data Assimilation Approach for Improving Accuracy in Flood Depth Predictions

Amir Javaheri    
Mohammad Nabatian    
Ehsan Omranian    
Meghna Babbar-Sebens and Seong Jin Noh    

Resumen

No disponible

 Artículos similares

       
 
Amir Javaheri, Mohammad Nabatian, Ehsan Omranian, Meghna Babbar-Sebens and Seong Jin Noh    
This study proposes a framework that (i) uses data assimilation as a post processing technique to increase the accuracy of water depth prediction, (ii) updates streamflow generated by the National Water Model (NWM), and (iii) proposes a scope for updatin... ver más
Revista: Hydrology

 
Er-gen Wang, Jian Sun, Shun Jiang, Feng Li     Pág. 1327 - 1341
Merging behaviors on the acceleration lane are viewed as a key trigger in expressway breakdown and potentially increase driving risk. The main goal of this article is to make a high-precision prediction on four kinds of merging behaviors at expressway on... ver más