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In recent years, water quality prediction has attracted many attentions of governments and researchers. The safety of water quality seriously affects the human health, fishery economy and agricultural activities. If an early prediction to the water quality with an acceptable accuracy can be achieved, the negative impacts will be minimized or even be avoided. Many researchers have applied artificial...
Most of wastewater effluent parameters are difficult to measure online. Many soft-sensing methods have been used to predict them, such as the mechanistic approaches and artificial neural networks. In this paper, improved least squares support vector machines for regression (LS-SVR) is proposed. Benchmark Simulation Model No.1 (BSM1) is used to generate input-output data, then effluent parameters,...
The most common test for determining the strength of organic content in wastewaters is the biochemical oxygen demand (BOD). The variables of water quality are temperature, pH value (pH), dissolved oxygen (DO), substance solid (SS), total Kjeldahl nitrogen (TKN), ammonia nitrogen (NH3N), nitrate (NO3), total phosphorous(T-P), and total coliform bacteria (T-coliform). These water quality indices affect...
In order to overcome the difficulty of on-line measurement for output water quality such as BOD (biochemical oxygen demand) in the waste water process, a second-order soft measurement model based on Lawrence-McCarty formula is established. And to improve the precision of model formula, the restrictive memory least square method is used to identify the system parameter and then the identified model...
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