What is it about?
Accurate estimation of evaporation loss from the water body is of primary importance for monitoring and allocating water resources. In hydrological practice, evaporation is directly measured by using an evaporation pan. Analytically, mathematical models could be used to estimate evaporation from related meteorological variables. These methods vary greatly in their ability to define the magnitude and variability of evaporation and require data that are not easily available.
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Why is it important?
The modeling experience in using ANN for evaporation estimation is still limited in comparison with a wider application in other fields such as flood forecasting, reservoir inflow forecasting, rainfall-runoff forecasting, and water quality forecasting. There is a need to report results of application of this technique for regions with different climate conditions (semi-arid and humid regions)
Perspectives
The idea is to develop an accurate model for predicting evaporation from reservoirs and to fill the missing evaporation data. Also, the model should be capable to predict past and future events using meteorological data.
Dr Mostafa Ali Benzaghta
Misuratu University
Read the Original
This page is a summary of: Estimation of Evaporation from a Reservoir in Semi arid Environments Using Artificial Neural Network and Climate Based Models, British Journal of Applied Science & Technology, January 2014, Sciencedomain International,
DOI: 10.9734/bjast/2014/3557.
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