使用WRF-Chem对加拿大阿尔伯塔省阿萨巴斯卡油砂地区的微量元素进行建模。

IF 8 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Jingliang Hao , Yongsheng Chen , Leiming Zhang
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引用次数: 0

摘要

加拿大阿尔伯塔省北部的阿萨巴斯卡油砂区(AOSR)是颗粒元素的重要来源,可能对人类和生态系统健康造成负面影响。本文采用WRF-Chem模拟了2016-2017年8种元素(Al, Ca, Fe, K, Mn, Si, Ti和Zn)在AOSR中的迁移和沉积,并以最新开发的区域尺度元素排放数据库作为模型输入。在模型域中对各单元的点辐射和面积辐射进行网格化处理,同时考虑了羽流上升的影响。模型测量的8种元素的年浓度总和在AMS1的差异为23%,在AMS17的差异为25%,在AMS18的差异为- 56%。模拟的AOSR中心工业区各元素年平均浓度和大气沉降分别为0.016 ~ 2.67 μ m-3(总和为5.98 μ m-3)和2.62 ~ 385 mg m-2年-1 (862 mg m-2年-1)。随着距离中心工业区的远近,浓度和沉积量迅速下降,例如在距离中心工业区150公里的地方,浓度和沉积量下降了3个数量级。将这三个站点加在一起,与实测值相比,模拟的8种元素的总浓度在冷季高110%,在暖季低29%,并注意到2016-2017年期间使用了恒定的排放率。进行了两次模型敏感性测试,第一次使用季节变化的排放,第二次用文献中发现的不同模式取代WRF-Chem中默认的干湿沉积方案,以证明模型模拟环境浓度和大气中颗粒物元素沉积的不确定性的大小以及不确定性的主要原因。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Modeling trace elements over Athabasca oil sands region in Alberta, Canada using WRF-Chem

Modeling trace elements over Athabasca oil sands region in Alberta, Canada using WRF-Chem
The Athabasca Oil Sands Region (AOSR) in northern Alberta, Canada is a significant source of particulate elements, which may cause negative effects on human and ecosystem health. This study simulates the transport and deposition of eight elements (Al, Ca, Fe, K, Mn, Si, Ti, and Zn) in the AOSR during 2016–2017 using WRF-Chem with a recently developed regional-scale emission database of elements as model input. Point and area emissions of the elements were gridded in the model domain, with stack emissions also considering the plume rise. The model-measurement differences in annual concentrations of the sum of the eight elements were 23 % at AMS1, 25 % at AMS17, and − 56 % at AMS18. Modeled annual average concentrations and atmospheric deposition of individual elements ranged from 0.016 to 2.67 μg m−3 (the sum total of 5.98 μg m−3) and from 2.62 to 385 mg m−2 yr−1 (862 mg m−2 yr−1), respectively, in the central industrial area of the AOSR. The concentration and deposition decreased rapidly with distance from the center industrial area, e.g., by three orders of magnitude in areas 150 km away. Adding the three sites together, modeled total concentrations of the eight elements were 110 % higher during the cold season and 29 % lower during the warm season than the measured values, noting that constant emission rates were used throughout the years of 2016–2017. Two model sensitivity tests were conducted, with the first one using seasonally varying emissions and the second one replacing the default dry and wet deposition schemes in WRF-Chem with different ones found in literature, to demonstrate the magnitudes of the uncertainties in the model simulated ambient concentrations and atmospheric deposition of particulate elements and major causing factors of the uncertainties.
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来源期刊
Science of the Total Environment
Science of the Total Environment 环境科学-环境科学
CiteScore
17.60
自引率
10.20%
发文量
8726
审稿时长
2.4 months
期刊介绍: The Science of the Total Environment is an international journal dedicated to scientific research on the environment and its interaction with humanity. It covers a wide range of disciplines and seeks to publish innovative, hypothesis-driven, and impactful research that explores the entire environment, including the atmosphere, lithosphere, hydrosphere, biosphere, and anthroposphere. The journal's updated Aims & Scope emphasizes the importance of interdisciplinary environmental research with broad impact. Priority is given to studies that advance fundamental understanding and explore the interconnectedness of multiple environmental spheres. Field studies are preferred, while laboratory experiments must demonstrate significant methodological advancements or mechanistic insights with direct relevance to the environment.
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