中国环境科学
中國環境科學
중국배경과학
China Environmental Science
2015年
11期
3340-3345
,共6页
被动采样%LDPE膜%预测模型%膜水分配系数
被動採樣%LDPE膜%預測模型%膜水分配繫數
피동채양%LDPE막%예측모형%막수분배계수
passive sampling%LDPE membrane%predict model%membrane water partition coefficient
选用3种厚度的低密度聚乙烯(LDPE)膜(76,56和25μm)作为研究对象,对辛醇-水分配系数的对数(logKow)>2的有机污染物采用被动采样技术进行膜-水分配系数(Kpew)实测实验和动力学实验,首次建立考虑时间(t),膜厚度(d)和动力学3个因素的LDPE膜 Kpew预测模型.实验结果表明,预测模型得到的Kpew与实测Kpew的相对误差为±0.03,证明了预测模型的准确性和可靠性.Kpew预测模型的建立避免了实验监测Kpew的繁琐实验过程,从而极大地提高了有机污染物的监测效率.将预测模型Kpew值应用于浑河与东洲河有机污染物质的监测,监测结果进一步表明了预测模型的准确性和实用性.此外本文首次提出了苯系物的Kpew值,对LDPE膜被动采样技术应用的延伸属于突破性进展.
選用3種厚度的低密度聚乙烯(LDPE)膜(76,56和25μm)作為研究對象,對辛醇-水分配繫數的對數(logKow)>2的有機汙染物採用被動採樣技術進行膜-水分配繫數(Kpew)實測實驗和動力學實驗,首次建立攷慮時間(t),膜厚度(d)和動力學3箇因素的LDPE膜 Kpew預測模型.實驗結果錶明,預測模型得到的Kpew與實測Kpew的相對誤差為±0.03,證明瞭預測模型的準確性和可靠性.Kpew預測模型的建立避免瞭實驗鑑測Kpew的繁瑣實驗過程,從而極大地提高瞭有機汙染物的鑑測效率.將預測模型Kpew值應用于渾河與東洲河有機汙染物質的鑑測,鑑測結果進一步錶明瞭預測模型的準確性和實用性.此外本文首次提齣瞭苯繫物的Kpew值,對LDPE膜被動採樣技術應用的延伸屬于突破性進展.
선용3충후도적저밀도취을희(LDPE)막(76,56화25μm)작위연구대상,대신순-수분배계수적대수(logKow)>2적유궤오염물채용피동채양기술진행막-수분배계수(Kpew)실측실험화동역학실험,수차건립고필시간(t),막후도(d)화동역학3개인소적LDPE막 Kpew예측모형.실험결과표명,예측모형득도적Kpew여실측Kpew적상대오차위±0.03,증명료예측모형적준학성화가고성.Kpew예측모형적건립피면료실험감측Kpew적번쇄실험과정,종이겁대지제고료유궤오염물적감측효솔.장예측모형Kpew치응용우혼하여동주하유궤오염물질적감측,감측결과진일보표명료예측모형적준학성화실용성.차외본문수차제출료분계물적Kpew치,대LDPE막피동채양기술응용적연신속우돌파성진전.
To obtain membrane water partition coefficient , Kpew, practical tests and kinetic experiments were conducted using passive sampling technique with three different thickness (76μm,56μm and 25μm) of low-density polyethylene (LDPE) membranes. For organic pollutants with logarithmic of octanol-water partition coefficient,logKow, greater than 2, the prediction model forKpew has been established considering three key factors of time (t), thickness of film (d) and kinetics. The results shown that the relative error betweenKpew from practical tests and prediction model is ±0.03, which proved the precise and reliable of this prediction model. The establishment of prediction model forKpewcould avoid the complicated processes of Kpew practical monitoring, hence the monitoring efficiency of organic pollutants would be improved significantly. Furthermore, the prediction model was applied to monitoring the organic pollutants in river Hun and Dongzhou, of which the results proved the precise and practicability of this prediction model in further. Besides,Kpew of benzene series are firstly proposed, which is considered as a breakthrough for the extension of passive technique with LDPE membranes.