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美国东南部沿海地区气溶胶的源解析及其与降水化学的关系:一项案例研究

Source Apportionment of Aerosol at a Coastal Site and Relationships with Precipitation Chemistry: A Case Study over the Southeast United States.

作者信息

Corral Andrea F, Dadashazar Hossein, Stahl Connor, Edwards Eva-Lou, Zuidema Paquita, Sorooshian Armin

机构信息

Department of Chemical and Environmental Engineering, The University of Arizona, Tucson, AZ 85721, USA.

Rosenstiel School of Marine and Atmospheric Science, University of Miami, Miami, FL 33149, USA.

出版信息

Atmosphere (Basel). 2020 Nov;11(11):1212. doi: 10.3390/atmos11111212. Epub 2020 Nov 10.

Abstract

This study focuses on the long-term aerosol and precipitation chemistry measurements from colocated monitoring sites in Southern Florida between 2013 and 2018. A positive matrix factorization (PMF) model identified six potential emission sources impacting the study area. The PMF model solution yielded the following source concentration profiles: (i) combustion; (ii) fresh sea salt; (iii) aged sea salt; (iv) secondary sulfate; (v) shipping emissions; and (vi) dust. Based on these results, concentration-weighted trajectory maps were developed to identify sources contributing to the PMF factors. Monthly mean precipitation pH values ranged from 4.98 to 5.58, being positively related to crustal species and negatively related to SO . Sea salt dominated wet deposition volume-weighted concentrations year-round without much variability in its mass fraction in contrast to stronger seasonal changes in PM composition where fresh sea salt was far less influential. The highest mean annual deposition fluxes were attributed to Cl, NO , SO , and Na between April and October. Nitrate is strongly correlated with dust constituents (unlike sea salt) in precipitation samples, indicative of efficient partitioning to dust. Interrelationships between precipitation chemistry and aerosol species based on long-term surface data provide insight into aerosol-cloud-precipitation interactions.

摘要

本研究聚焦于2013年至2018年期间佛罗里达州南部并置监测站点的长期气溶胶和降水化学测量。一个正矩阵因子分解(PMF)模型识别出影响研究区域的六个潜在排放源。PMF模型解决方案得出了以下源浓度分布:(i)燃烧;(ii)新鲜海盐;(iii)老化海盐;(iv)二次硫酸盐;(v)船舶排放;以及(vi)沙尘。基于这些结果,绘制了浓度加权轨迹图以识别对PMF因子有贡献的源。月平均降水pH值范围为4.98至5.58,与地壳物质呈正相关,与SO呈负相关。海盐全年主导湿沉降体积加权浓度,其质量分数变化不大,与之形成对比的是颗粒物组成有更强的季节性变化,其中新鲜海盐的影响要小得多。4月至10月间,年平均沉积通量最高的是Cl、NO、SO和Na。降水样品中硝酸盐与沙尘成分(与海盐不同)高度相关,表明其有效地分配到沙尘中。基于长期地面数据的降水化学和气溶胶物种之间的相互关系为气溶胶-云-降水相互作用提供了见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cec7/8243544/6505aafba0bf/nihms-1710871-f0001.jpg

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