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首页> 外文期刊>Water Research >Formation, modeling and validation of trihalomethanes (THM) in Malaysian drinking water: a case study in the districts of Tampin, Negeri Sembilan and Sabak Bernam, Selangor, Malaysia
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Formation, modeling and validation of trihalomethanes (THM) in Malaysian drinking water: a case study in the districts of Tampin, Negeri Sembilan and Sabak Bernam, Selangor, Malaysia

机译:马来西亚饮用水中三卤代甲烷(THM)的形成,建模和验证:以马来西亚雪兰莪州的淡平,森美兰州和萨巴克·伯南姆地区为例

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摘要

A modeling procedure that predicts trihalomethane (THM) formation from field sampling at the treatment plant and along its distribution system using Tampin district, Negeri Sembilan and Sabak Bernam district, Selangor as sources of data were studied and developed. Using Pearson method of correlation, the organic matter measured as TOC showed a positive correlation with formation of THM (r = 0.380, P = 0.0001 for Tampin and r = 0.478, P = 0.0001 for Sabak Bernam). Similar positive correlation was also obtained for pH in both districts with Tampin (r = 0.362, P = 0.0010) and Sabak Bernam (r = 0.215, P = 0.0010). Chlorine dosage was also found to have low correlation with formation of THM for the two districts with Tampin (r = 0.233, P = 0.0230) and Sabak Bernam (r = 0.505, P = 0.0001). Distance from treatment plant was found to have correlation with formation of THM for Tampin district with r = 0.353 and P = 0.0010. Other parameters such as turbidity, ammonia, temperature and residue chlorine were found to have no correlation with formation of THM. Linear and non-linear models were developed for these two districts. The results obtained were validated using three different sets of field data obtained from own source and district of Seremban (Pantai and Sg. Terip), Negeri Sembilan. Validation results indicated that there was significant difference in the predictive and determined values of THM when two sets of data from districts of Seremban were used with an exception of field data of Sg. Terip for non-linear model developed for district of Tampin. It was found that a non-linear model is slightly better than linear model in terms of percentage prediction errors. The models developed were site specific and the predictive capabilities in the distribution systems vary with different environmental conditions.
机译:研究和开发了一种建模程序,该程序使用位于雪兰莪州的森美兰州的淡平地区和塞巴哥的萨巴克·伯纳姆地区作为数据源,从处理厂及其分布系统的现场采样预测三卤甲烷(THM)的形成。使用Pearson相关法,测得的有机物TOC与THM的形成呈正相关(Tampin r = 0.380,P = 0.0001,Sabak Bernam r = 0.478,P = 0.0001)。在两个地区,Tampin(r = 0.362,P = 0.0010)和Sabak Bernam(r = 0.215,P = 0.0010)也获得了相似的正相关。在Tampin(r = 0.233,P = 0.0230)和Sabak Bernam(r = 0.505,P = 0.0001)的两个地区,氯剂量与THM形成的相关性也较低。发现距处理厂的距离与坦平地区THM的形成有关,r = 0.353和P = 0.0010。发现其他参数(例如浊度,氨气,温度和残留氯)与THM的形成无关。针对这两个地区开发了线性和非线性模型。使用三组不同的现场数据验证了获得的结果,这些数据是从自己的来源和芙蓉区(Pantai和Sg。Terip),森美兰州获得的。验证结果表明,使用Seremban地区的两组数据(Sg现场数据除外)时,THM的预测值和确定值存在显着差异。 Terip用于为Tampin地区开发的非线性模型。已经发现,就百分比预测误差而言,非线性模型略好于线性模型。所开发的模型是针对特定地点的,并且配电系统中的预测能力会随不同的环境条件而变化。

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