Abstract
This research proposes a decision support system for weir sluice gate level adjusting. The proposed system, named AWARD (Appropriate Weir Adjustment with Water Requirement Deliberation), is composed of three modules, which are (1) water level prediction, (2) sluice gates setting period estimation, and (3) sluice gates level adjusting calculation. The AWARD system applies an artificial neural network technique for water level prediction, a fuzzy logic control algorithm for sluice gate setting period estimation, and hydraulics equations for sluice gate level adjusting. The water requirements and supplies are deducted from the field-survey and telemetry stations in Chiang Rai Province, Thailand. The results show that the proposed system can accurately estimate the water volume. Water level prediction shows high accuracy. The standard error of prediction (SEP) is 2.58 cm and the mean absolute percentage error (MAPE) is 7.38%. The sluice gate setting period is practically adjusted. The sluice gate level is adjusted according to the water requirement.
Highlights
Water resources are one of the most important issues of our time [1]
The Adjustment with water Requirement Deliberation (AWARD) system is composed of three modules: (1) Water level prediction, (2) sluice gate setting period estimation, and (3) sluice gate level adjustment calculation
The standard error of prediction (SEP) is a measurement metric of the accuracy of prediction and is calculated using Equation (10). di is the difference between the predicted water level (Pi) and the observed water level (Oi) on day i, Equation (11). n is the total number of water level data
Summary
Water resources are one of the most important issues of our time [1]. To manage water resources in an efficient manner, an innovative tool must be used to support a decision maker. In order to achieve that, the weir controllers consider the recent river water level and their cropland water requirement, they estimate the sluice gate level to let the water flow out to their irrigation canals. The AWARD system is composed of three modules: (1) Water level prediction, (2) sluice gate setting period estimation, and (3) sluice gate level adjustment calculation. The proposed hydraulics equations in the sluice gate level adjustment calculation module takes the predicted water level, the sluice gate level setting period, and the cropland water requirements. The results of the sluice gate levels and the sluice gate level setting periods yielded from the AWARD system are able to assist the weir controllers to practically irrigate the water according to the farming activities.
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