首页> 外文期刊>Atmospheric Measurement Techniques Discussions >Methods for identifying aged ship plumes and estimating contribution to aerosol exposure downwind of shipping lanes
【24h】

Methods for identifying aged ship plumes and estimating contribution to aerosol exposure downwind of shipping lanes

机译:用于识别老年船舶羽毛和估算运输车道的气溶胶曝光贡献的方法

获取原文
获取外文期刊封面目录资料

摘要

Ship traffic is a major source of aerosol particles, particularly near shipping lanes and harbours. In order to estimate the contribution to exposure downwind of a shipping lane, it is important to be able to measure the ship emission contribution at various distances from the source. We report on measurements of atmospheric particles 7–20km downwind of a shipping lane in the Baltic Sea Sulfur Emission Control Area (SECA) at a coastal location in southern Sweden during a winter and a summer campaign. Each ship plume was linked to individual ship passages using a novel method based on wind field data and automatic ship identification system data (AIS), where varying wind speeds and directions were applied to calculate a plume trajectory. In a situation where AIS data are not matching measured plumes well or if AIS data are missing, we provide an alternative method with particle number concentration data. The shipping lane contribution to the particle number concentration in Falsterbo was estimated by subtracting background concentrations from the ship plume concentrations, and more than 150 plumes were analysed. We have also extrapolated the contribution to seasonal averages and provide recommendations for future similar measurements. Averaged over a season, the contribution to particle number concentration was about 18% during the winter and 10% during the summer, including those periods with wind directions when the shipping lane was not affecting the station. The corresponding contribution to equivalent black carbon was 1.4%.
机译:船舶交通是气溶胶颗粒的主要来源,特别是在发运车道和港口附近。为了估计对曝光巷道的曝光促进的贡献,重要的是能够在源的各种距离处测量船舶排放贡献。我们冬季和夏季战役中对大气颗粒物在瑞典南部沿海位置波罗的海硫排放控制区(SECA)出货通道的7-20km顺风的测量报告。每艘船羽流量使用基于风现场数据和自动船舶识别系统数据(AIS)的新方法与单独的船舶通道相关联,其中应用了不同的风速和方向来计算羽流轨迹。在AIS数据不匹配测量的羽毛或缺少AIS数据的情况下,我们提供了一种具有粒子数浓度数据的替代方法。通过从船舶羽毛浓度中减去背景浓度,估计了对Falsterbo中粒子数浓度的送货车道贡献,分析了超过150份羽毛。我们还推断了对季节性平均值的贡献,并为未来类似的测量提供了建议。在冬季平均赛季,冬季粒子浓度的贡献约为18%,夏季10%,包括当航运道不影响车站时的风向的时间。对等效黑碳的相应贡献为1.4%。

著录项

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