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The main purpose of this paper is to establish a monthly water quality predicting model of Feitsui Reservoir in northern Taiwan. This model is based on data from nutrient loads to simulate the dynamic nutrient concentration in reservoir. The proposed model employed artificial neural networks (ANNs) with the back-propagation algorithm which can obtain a highly nonlinear relationship to predict the...
The main purpose of this paper is to predict stream-way transition with adaptive-network-based fuzzy inference system (ANFIS). Therefore, the downstream stream-way transition according to the upstream conditions is forecasted by ANFIS. Five main factors may affect the stream-way transition include inflow position, inflow angle, slope, flow discharge, and sand content of suspended sediment. We selected...
The artificial neural networks (ANNs) were adopted to improve the monitoring capability of water quality in a reservoir using multi-temporal satellite imageries. Simultaneous measurement of chlorophyll-a (Chl-a) concentration along the Feitsui Reservoir, the primary water supply of Taipei City, was conducted by ferryboat. Those ground measured values were used to calibrate empirical functions with...
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