引用本文:林海翔.基于正交试验方法的化学需氧量测定影响因素分析[J].环境监控与预警,2021,13(6):31-33
LIN Hai-xiang.Analysis of Influencing Factors of CODCr Determination Based on Orthogonal Test Method[J].Environmental Monitoring and Forewarning,2021,13(6):31-33
【打印本页】   【HTML】   【下载PDF全文】   查看/发表评论  【EndNote】   【RefMan】   【BibTex】
←前一篇|后一篇→ 过刊浏览    高级检索
本文已被:浏览 734次   下载 263 本文二维码信息
码上扫一扫!
分享到: 微信 更多
基于正交试验方法的化学需氧量测定影响因素分析
林海翔
南通市海门生态环境监测站,江苏 南通 226100
摘要:
参照《水质 化学需氧量的测定 重铬酸盐法》(HJ 828—2017)标准,设计出三水平四因素正交试验方案,考察水样体积、消解温度、消解时间和硫酸银-硫酸溶液加入量对化学需氧量(CODCr)测量值的影响。研究表明:测定CODCr质量浓度>50 mg/L的样品时,影响CODCr测定值的主次因素排序为:水样体积、硫酸银-硫酸溶液加入量、消解时间和消解温度;CODCr测定的最优试验条件为:水样体积5 mL、消解温度200 ℃、消解时间90 min、硫酸银-硫酸溶液加入量10 mL。与《HJ 828—2017》标准中的监测条件相比,该方法分析时间更短、加入的硫酸银-硫酸溶液体积更少,在应急监测中具有更高的参考价值。
关键词:  正交试验  化学需氧量  影响因素  最优试验条件
DOI:
分类号:X832
基金项目:
Analysis of Influencing Factors of CODCr Determination Based on Orthogonal Test Method
LIN Hai-xiang
Haimen Ecological Environmental Monitoring Station, Nantong, Jiangsu 226100,China
Abstract:
A three-level and four-factor orthogonal test was designed to investigate the effects of water sample volume, digestion temperature, digestion time, and the dosage of silver sulfate-sulfuric acid solution on chemical oxygen demand (CODCr) according to the standard Water Quality determination of the Chemical Oxygen Demand dirchromate Method(HJ 828—2017). The corresponding results indicated that: when the CODCrconcentration was more than 50 mg/L, the primary and secondary factors affecting the determination value of CODCrwere water volume, silver sulfate-sulfuric acid solution volume, digestion time and digestion temperature. The optimal test conditions for the determination of CODCr were as follows: 5 mL of water sample being digested at 200 ℃ for 90 min with 10 mL of silver sulfate sulfuric acid solution. Compared with the conditions in the standard method (HJ 828—2017), the shorter analysis time and less dosage of silver sulfate-sulfuric acid solution make this method show a higher reference value in emergency monitoring.
Key words:  Orthogonal test  CODCr  Influencing factors  Optimal test conditions