分层水库底泥污染的评价模型及控制方法研究

Assessment Model and Control Method of Sediment Pollution in Layered Reservoir

采用GPS定位仪对分层水库底泥采样点进行确定,根据确定的采样点对底泥样品进行采集与分析得到底泥污染数据,采用循环神经网络特征提取算法对底泥污染数据的特征进行提取,以得到的底泥污染数据特征为基础采用多因子评价方法对底泥污染进行评价,实现了底泥污染评价模型的建立。以评价模型得到的数据为基础,对底泥主要污染物进行确定,根据主要污染物数据对其污染源进行识别与分类,采用切断污染源以及吸附技术实现了分层水库底泥污染的控制。

The evaluation model and control method of sediment pollution in stratified reservoirs are proposed. The sampling points of sediment in stratified reservoirs are determined by GPS positioning instrument. Sediment pollution data are obtained by collecting and analyzing sediment samples according to the determined sampling points. The characteristics of sediment pollution data are extracted by using the feature extraction algorithm of cyclic neural network. Based on the characteristics of sediment pollution data obtained, the multi-factor evaluation method is adopted to evaluate sediment pollution. The sediment pollution assessment model was established. Based on the data obtained from the above evaluation model, the main pollutants in sediment are determined, and the pollution sources are identified and classified according to the main pollutant data. The pollution control of stratified reservoir sediment is realized by cutting off the pollution sources and adsorption technology.