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一种基于最小二乘法的水库纳污能力预警方法

An early warning method of reservoir pollutant carrying capacitybased on least square method
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摘要 为提高水库纳污能力计算水平,针对现有水库纳污能力计算方法需要的水文、水质、排污口、水下地形等详细数据资料无法全部收集到位和模型计算法中污染物混合程度、富营养化要素、分层水温污染物浓度等情况无法有效判断的问题,提出一种基于最小二乘法的水库纳污能力预警方法。基于水库水质自动监测站分析连续10 d无明显强降雨的水质时间序列小时数据,运用最小二乘法对不同水质监测要素进行曲线拟合,分析时间序列小时水质数据变化趋势,并用5 d水质小时数据进行验证,根据《地表水环境质量标准》,以水质监测要素标准限值作为水库纳污能力预警提醒的阈值,提高水库纳污预警能力。 In order to improve the calculation level of the pollutant carrying capacity of the reservoir,in view of the problems that the existing calculation methods for the pollutant carrying capacity of the reservoir need more detailed hydrology,water quality,sewage outfall,and underwater topography which cannot be collected in place,and the pollutant mixing degree,eutrophication factors,pollutant concentration of stratified water temperature and other conditions which cannot be effectively judged in the model calculation method,an early warning method for the pollutant carrying capacity of the reservoir based on the least square method is proposed.Based on the analysis of water quality time series hourly data without significant heavy rainfall for 10 consecutive days by the automatic monitoring station for water quality of the reservoir,curve fitting of different water quality monitoring elements is carried out by using the least square method,and the change trend of hourly water quality data of the time series is analyzed,and the 5-day water quality hourly data is used for verification.The standard limit of water quality monitoring elements is used as the threshold value for early warning and reminding of the reservoir's pollution carrying capacity according to the Environmental Quality Standard for Surface Water,so as to effectively improve the reservoir's pollution carrying early warning capacity.
作者 庄佳宝 ZHUANG Jiabao(IStrong Technology Co.,Ltd.,Fuzhou 350100)
出处 《中国防汛抗旱》 2023年第6期67-72,共6页 China Flood & Drought Management
关键词 最小二乘法 曲线拟合 水库纳污能力 预警方法 least square method curve fitting the pollutant carrying capacity of the reservoir early warning method
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