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

机译:某些沿海城市南部污水河鳕鱼预测研究

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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:本文重点介绍污水河中化学氧气消耗(COD)的预测。考虑到污水不分青红皂白的环境危害,在选定区域的污水河上进行实验。从2007年8月到2008年8月的选定抽样位置测量了COD。我们共进行了九个样本。在实验期间,采样时间基本相同,采样的时间间隔也是一致的,因此可以将采样数据(七个样本)视为一系列时间。根据时间序列分析的要求,操纵数据并测试系列的实体性。通过时间序列分析,开发了Arima(1,0,2)模型。模型参数的显着测试和模型的自适应测试表明,Arima(1,0,2)的COD模型是显着的。使用城市水质检测部门的数据来测试模型。结果表明,Arima模型的真实性为84.9%,符合MODE1的精确要求。该模型有利于环境能力的合理利用,可为河流的一般监管和管理提供科学基础。

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