...
首页> 外文期刊>American Water Works Association Journal >Predicting DOC removal during enhanced coagulation
【24h】

Predicting DOC removal during enhanced coagulation

机译:预测强化凝结过程中的DOC去除

获取原文
获取原文并翻译 | 示例
           

摘要

The concentration of dissolved organic carbon (DOC) remaining after enhanced coagulation can be predicted with a standard error of about 10 percent or 0.4 mg/L using a new model with inputs of coagulant dosage, coagulation pH, raw water UV_(254), and raw water DOC. Total organic carbon remaining after coagulation can be predicted with similar accuracy. The model may also be calibrated to a specific site, improving the standard predictive error to 4 percent or 0.27 mg/L (or ±10 percent for 90 percent confidence). Performance differences between equimolar dosages of alum and ferric coagulants in mediating DOC removal may be attributed to (1) equal or better removal of DOC using ferric at very high coagulant dosages, (2) equal or better removal of DOC using alum at lower coagulant dosages, or (3) differing acidity of coagulants, producing a performance advantage for the more acidic coagulant.
机译:使用输入凝结剂剂量,凝结pH,原水UV_(254)和新值的新模型,可以预测混凝后残留的溶解有机碳(DOC)的浓度,其标准误差约为10%或0.4 mg / L。原水DOC。凝结后剩余的总有机碳可以以相似的精度预测。还可以将模型校准到特定位置,从而将标准预测误差提高到4%或0.27 mg / L(对于90%的置信度,则为±10%)。在调节DOC去除中,等摩尔剂量的明矾和铁凝结剂之间的性能差异可能归因于(1)在非常高的凝结剂量下使用三价铁相等或更好地去除DOC,(2)在更低的凝结剂剂量下使用明矾相等或更好地去除DOC ,或(3)凝结剂的酸度不同,从而为酸性更高的凝结剂带来了性能优势。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号