基于未确知信息的河流水质模拟预测研究
Study on simulation and prediction of river water quality based on unascertained information
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摘要: 基于河水流速、污染物综合衰减系数等参量信息不确定性的特点,提出了运用未确知数学理论进行河流水质模拟预测的未确知数学模型。该模型不仅能得到以区间形式表示的河流污染物预测浓度,也能获得各浓度可能值区间对应的主观可信度,这为水污染控制系统规划和水环境管理决策提供了更为丰富、科学的浓度信息。实例研究表明,运用未确知数学理论进行河流水质模拟预测,理论上是可行的,预测结果是可靠的。Abstract: Based on uncertainty of the parameteric information about current velocity,the pollutant comprehensive attenuation coefficient,and so on,an unascertained mathematics model for river water quality simulation and prediction is put forward according to the unascertained mathematics theory.The established model can provide not only the pollutant concentration but also the corresponding reliability,it present more useful and scientific pollutant concentration information for water contamination controll plan and water environmental management.The result shows that it is feasible and reliable to simulate and predict river water quality.