摘要
重点流域水质影响周围区域生存环境,水环境污染物排放总容量预测能够为改善水质、优化水环境提供分析依据。在Simulink仿真工具中基于水动力模型与水质模型构建水环境污染仿真模型,体现污水团规模、运动特点、浓度峰值等信息;通过Simulink数据计算模块构建三层前向BP网络预测模型,预测重点流域水环境污染物排放总容量,将污水团规模、浓度峰值、节能减排费用等6种指标作为预测指标输入,输出即为重点流域水环境污染物排放总容量值,由此完成污染物排放总容量预测。仿真测试显示:与期望值相比,BP网络预测模型输出值相对误差较小,预测值与实测值变化趋势一致,为全面了解重点流域水污染物COD、NH_(3)-N排放量提供了技术支持。
The water quality of the key river basin influences the living environment,and the prediction of the total discharge capacity of pollutants can provide the analytical basis for improving the water quality and optimizing the water environment.The simulation model of water environment pollution was constructed based on hydrodynamic model and water quality model in Simulink simulation tool,which could reflect the size of sewage mass,motion characteristics,peak value of concentration.Through Simulink data calculation module,a three-layer forward BP network prediction model was constructed to predict the total discharge capacity of water environmental pollutants in key river basin.In addition,six indexes,including the size of sewage mass,the peak value of concentration,energy saving and emission reduction cost,were taken as the input of prediction index.The output was the total discharge capacity of water environmental pollutants.Thus,the total discharge capacity of pollutants was predicted.Simulation results show that,compared with the expected value,the error of output value of BP network prediction model is smaller,and the predicted value is consistent with the change trend of actual value,which provides technical support for comprehensive understanding of COD,NH3-N emission in key river basins.
作者
孙靖昆
SUN Jing-kun(College of Environmental Science and Engineering of Peking University,Beijing 100871,China)
出处
《计算机仿真》
北大核心
2021年第3期410-414,共5页
Computer Simulation
关键词
重点流域
水环境
污染物
网络
总容量预测
Key river basin
Water environment
Pollutant
Network
Total capacity prediction
