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Study on prediction of COD in a southern sewage river of certain coastal city

机译:某沿海城市南部污水中COD的预测研究

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This paper focuses on the prediction of Chemical Oxygen Consumption (COD) in a sewage River. Considering environmental hazards of indiscriminate discharge of sewage, the experiment was performed on a sewage river of selected area. COD was measured at selected sampling locations from Aug 2007 to Aug. 2008. We conducted a total of nine samples. During the experiment, the sampling time is basically the same and time intervals of sampling are also consistent, therefore the sampled data (seven samples) can be looked on as a sequence of time. According to the requirements of time series analysis, manipulate the data and test the stationarity of the series. By time series analysis, an ARIMA (1, 0, 2) model is developed. Significant test of model parameters and adaptive testing of the model show that the ARIMA (1, 0, 2) model of COD was significant. Using the data from water quality testing department of the city to test the model. The results indicates that the veracity of the ARIMA model was 84.9%, which meets the precision requirement of the mode1. The model is conducive to the rational utilization of environmental capacity and can provide scientific foundation for general regulation and management of rivers.
机译:本文着眼于污水河中化学需氧量(COD)的预测。考虑到随意排放污水的环境危害,在选定地区的污水河上进行了试验。从2007年8月到2008年8月在选定的采样地点测量了COD。我们总共进行了9个采样。在实验过程中,采样时间基本相同,采样时间间隔也一致,因此可以将采样数据(七个采样)看成是一个时间序列。根据时间序列分析的要求,处理数据并测试序列的平稳性。通过时间序列分析,开发了ARIMA(1、0、2)模型。模型参数的显着检验和模型的自适应检验表明,COD的ARIMA(1、0、2)模型很显着。使用城市水质检测部门的数据对模型进行测试。结果表明,ARIMA模型的准确性为84.9%,符合mode1的精度要求。该模型有利于环境容量的合理利用,可为河流的总体调控和管理提供科学依据。

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