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气溶大气河流:模式,影响和社会见解

Kuldeep Singh Rautela¹, Shivam Singh¹, Manish Kumar Goyal²

¹Department of Civil Engineering, Indian Institute of Technology Indore, Simrol, Indore, 453552, Madhya Pradesh, India.

Environmental science and pollution research international

|August 13, 2024

概括

这项研究确定了各种物种的气溶大气河 (AAR),揭示了它们的全球分布和强度. 这些发现有助于理解极端气溶运输事件及其对气候和健康的影响.

科学领域:

大气科学大气科学
环境科学环境科学
气候科学气候科学

背景情况:

长距离的气溶运输显著影响空气质量和气候.
极端气溶事件,如气溶大气河 (AARs),需要专门的检测方法.
了解AAR的时空分布和驱动因素对于影响评估至关重要.

研究的目的:

开发和应用一个算法来检测气溶大气河流 (AARs) 对于关键的气溶物种.
分析2015-2022年AAR的全球发生,强度和社会影响.
研究AAR识别在气候和健康研究中的潜在应用.

主要方法:

调整了基于集成蒸汽运输 (IVT) 的大气河 (AR) 算法,以创建一个集成气溶运输 (IAT) 算法.
检测到的黑碳 (BC),有机碳 (OC),尘埃 (DU),海盐 (SS) 和硫酸盐 (SU) 的AAR.
分析了全球AAR数据,时空分辨率为1.5°×1.5°,间隔6小时.

主要成果:

在全球范围内,主要气溶物种共检测到128,261个AAR.
在IBG平原,中国东部和日本等人口密集地区,BC,OC和SU AAR频繁出现.
在北非和美国普遍存在DU AAR,而在高度的海洋中,SS AAR是强烈的.

结论:

气溶大气河流表现出不同的空间模式,受气溶类型和地理因素的影响.
AAR对雪的变黑,加速融化和量化空气污染对健康的风险有重大影响.
IAT算法为研究极端气溶运输事件及其后果提供了有价值的工具.

关键词:

气溶大气中的河流气溶运输是一种气溶运输.气候学气候学气候学极端事件极端事件

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