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A Dynamic Model To Study the Exchange off Gas-Phase Persistent Organic Pollutants between Air and a Seasonal Snowpack

机译:动态模型研究空气与季节性积雪之间的气相持久性有机污染物交换

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摘要

An arctic snow model was developed to predict the exchange of vapor-phase persistent organic pollutants between the atmosphere and the snowpack over a winter season.Using modeled meteorological data simulating conditions in the Canadian High Arctic,a single-layer snowpack was created on the basis of the precipitation rate,with the snow depth,snow specific surface area,density,and total surface area (ISA) evolving throughout the annual time series.ISA,an important parameter affecting the vapor-sorbed quantity of chemicals in snow,was within a factor of 5 of measured values.Net fluxes for fluorene,phenanthrene,PCB-28 and -52,and a- and gamma-HCH (hexachlorocyclohexane)were predicted onthe basis of their wet deposition (snowfall) and vapor exchange between the snow and atmosphere.Chemical fluxes were found to be highly dynamic,whereby deposition was rapidly offset by evaporative loss due to snow settling (i.e.,changes in TSA).Differences in chemical behavior over the course of the season (i.e.,fluxes,snow concentrations) were largely dependent on the snow/air partition coefficients (K_sa)).Chemicals with relatively higher K_(sa) values such as alpha- and gamma-HCH were efficiently retained within the snowpack until later in the season compared to fluorene,phenathrene,and PCB-28 and -52.Average snow and air concentrations predicted by the model were within a factor of 5-10 of values measured from arctic field studies,but tended to be overpredicted for those chemicals with higher K_(sa) values (i.e.,HCHs).Sensitivity analysis revealed that snow concentrations were more strongly influenced by k_(sa) than either inclusion of wind ventilation of the snowpack or other changes in physical parameters.Importantly,the model highlighted the relevance of the arctic snowpack in influencing atmospheric concentrations.For the HCHs,evaporative fluxes from snow were more pronounced in April and May,toward the end of the winter,providing evidence that the snowpack plays an important role in influencing the seasonal increase in air concentrations for these compounds at this time of year.
机译:建立了北极降雪模型以预测冬季冬季大气和积雪之间汽相持久性有机污染物的交换。利用模拟的气象数据模拟加拿大高北极地区的状况,在此基础上建立了单层积雪降雨率随雪深,雪比表面积,密度和总表面积(ISA)的变化而变化。ISA是影响雪中化学物质的蒸气吸附量的重要参数,测量值的5倍。基于湿沉降(降雪)以及雪与大气之间的蒸汽交换,预测了芴,菲,PCB-28和-52以及a-和γ-HCH(六氯环己烷)的净通量发现化学通量是高度动态的,因此由于积雪(例如TSA的变化)导致的蒸发损失迅速抵消了沉积物的影响。整个季节化学行为的差异(即通量,雪浓度)很大程度上取决于雪/空气分配系数(K_sa)。K_(sa)值相对较高的化学物质(例如甲型六氯环己烷和丙型六氯环己烷)被有效地保留在雪堆中,直到后期。该模型预测的平均雪和空气浓度在北极田野研究中测得的值的5-10倍之内,但对于那些化学含量较高的化学品,往往被高估了K_(sa)值(即HCHs)。敏感性分析表明,与包括雪堆的通风或物理参数的其他变化相比,k_(sa)对雪的浓度影响更大。对于六氯环己烷,在冬季临近的四月和五月,雪中的蒸发通量更为明显,这为六氯环己烷提供了证据,表明积雪起着重要的作用。 e在一年的这个时候影响这些化合物的空气浓度的季节性增加。

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  • 来源
    《Environmental Science & Technology》 |2006年第8期|p.2644-2652|共9页
  • 作者单位

    Department of Atmospheric Environment,National Environmental Research Institute,P.O.Box 358,Frederiksborgvej 399,4000 Roskilde,Denmark,and Environmental Science Department,Lancaster University,Lancaster LAI 4YQ,United Kingdom;

    Department of Atmospheric Environment,National Environmental Research Institute,P.O.Box 358,Frederiksborgvej 399,4000 Roskilde,Denmark,and Environmental Science Department,Lancaster University,Lancaster LAI 4YQ,United Kingdom;

    Department of Atmospheric Environment,National Environmental Research Institute,P.O.Box 358,Frederiksborgvej 399,4000 Roskilde,Denmark,and Environmental Science Department,Lancaster University,Lancaster LAI 4YQ,United Kingdom;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 环境化学;
  • 关键词

  • 入库时间 2022-08-17 14:06:58

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