Possibility of GPS precipitable water vapour for reservoir inflow forecasting

Precipitable water vapour

On the inclusion of GPS precipitable water vapour in the nowcasting of rainfall

The temporal behaviour of precipitable water vapour (PWV) retrieved from GPS delay data is analysed in a number of case studies of intense precipitation in the Lisbon area, in the period 2010–2012 and in a continuous annual cycle of 2012 observations. Such behaviour is found to correlate positively with the probability of precipitation, especially in cases of severe rainfall. The evolution of t...

Reservoir Inflow Forecasting Using Neural Networks

In utilities using a mixture of hydroelectric and nonhydroelectric power, the economics of the hydroelectric plants depend upon the reservoir height and the inflow into the reservoir for several days into the future. Accurate forecasts of reservoir inflow allow the utility to feed proper amounts of fuel to individual plants, and to economically allocate the load between various non-hydroelectri...

Reservoir inflow forecasting using artificial neural network

Hydrologic forecasting plays an ever increasing role in water resource management, as engineers are required to make component forecasts of natural inflows to reservoirs for numerous purposes. Resulting forecast techniques vary with the system purpose, physical characteristics, and availability of data. As most hydrological parameters are subjected to the uncertainty, a proper forecasting metho...

A Grammatical Evolution Model for Reservoir Inflow Forecasting

This paper explores the feasibility of applying a grammatical evolution (GE) system and combines it with the genetic algorithm (GA) to establish the inflow predicting model of De-Chi Reservoir in central Taiwan. First, a GE is an evolutionary automatic programming type system, which can discover relationships among observed data and express them mathematically. Further, a GA was used with this ...