Inicio  /  Information  /  Vol: 9 Núm: 5 Par: May (2018)  /  Artículo
ARTÍCULO
TITULO

Precipitation Data Assimilation System Based on a Neural Network and Case-Based Reasoning System

 Artículos similares

       
 
Heba El-Bagoury and Ahmed Gad    
Flooding is a natural disaster with extensive impacts. Desert regions face altered flooding patterns owing to climate change, water scarcity, regulations, and rising water demands. This study assessed and predicted flash flood hazards by calculating disc... ver más
Revista: Water

 
Davide Fronzi, Gagan Narang, Alessandro Galdelli, Alessandro Pepi, Adriano Mancini and Alberto Tazioli    
Forecasting of water availability has become of increasing interest in recent decades, especially due to growing human pressure and climate change, affecting groundwater resources towards a perceivable depletion. Numerous research papers developed at var... ver más
Revista: Water

 
Yali Li, Hongjuan Zhang, Mengzhu Liu and Hongwei Pei    
Reclamation of treated sewage is an important way to alleviate urban water scarcity and optimize ecological layout, especially in irrigating urban turfgrass. Nevertheless, the irrational use of reclaimed sewage could result in risk of excessive nitrogen ... ver más
Revista: Water

 
Matthew G. Montgomery, Miles B. Yaw and John S. Schwartz    
Probabilistic risk methods are becoming increasingly accepted as a means of carrying out risk-informed decision making regarding the design and operation policy of structures such as dams. Probabilistic risk calculations require the quantification of epi... ver más
Revista: Water

 
Moumouni Djibo, Wend Yam Serge Boris Ouedraogo, Ali Doumounia, Serge Roland Sanou, Moumouni Sawadogo, Idrissa Guira, Nicolas Koné, Christian Chwala, Harald Kunstmann and François Zougmoré