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作 者:江鑫 冯巧梅 周俐宏 刘怡 曾振中 Xin Jiang;Qiaomei Feng;Lihong Zhou;Yi Liu;Zhenzhong Zeng(School of Environmental Science and Engineering,Southern University of Science and Technology,Shenzhen 518055,China;School for Environment and Sustainability,University of Michigan,Michigan MI 41804,USA)
机构地区:[1]南方科技大学环境科学与工程学院,深圳518055 [2]School for Environment and Sustainability,University of Michigan,Michigan MI 41804,USA
出 处:《科学通报》2024年第3期356-361,共6页Chinese Science Bulletin
基 金:国家自然科学基金(42071022);广东省海上风电联合基金(2022A1515240070)资助
摘 要:沙尘天气是中国北方干旱和半干旱地区的重要天气现象,也是影响该地区的主要灾害性天气之一[1,2].沙尘事件对环境、公共健康甚至全球气候都会产生重大影响,了解沙尘天气的驱动因素对制定有效的策略以减轻其影响至关重要[3~5].沙尘天气直接受到风速和沙源影响,而沙源又进一步受植被、降水、气温等因素影响[6~8].通过分析这些因素导致的沙尘天气频率变化过程,有助于我们预测未来的沙尘天气变化趋势.截至2023年4月30日,我国已经出现12次沙尘天气过程,比往年同期偏多.Dust weather,a prevalent disaster in the arid and semi-arid areas of northern China,poses significant risks to both socioeconomic stability and public health.This meteorological phenomenon,characterized by strong winds sweeping sand particles across vast distances,frequently occurs in these regions.It inflicts considerable damage to infrastructure and environment,while also exposing human populations to an array of respiratory issues and diseases.However,despite the wide range of detrimental effects,the mechanics and influencing factors behind dust weather events remain laden with uncertainties.This lack of clear understanding impairs our ability to implement efficient prevention and control strategies,thereby necessitating in-depth exploration and research into the subject matter.Our quest to unravel the inherent dynamics of dust weather events led us to employ a multivariate analysis approach,combining ground meteorological observation data,satellite remote sensing data,and reanalysis data.Ground meteorological data,collected from weather stations scattered across the affected regions,provides accurate and precise measurements of local conditions such as wind speed,precipitation,temperature,and humidity.On the other hand,satellite remote sensing data opens up a bird’s eye view of the situation,enabling us to monitor vast areas simultaneously.Furthermore,it can also reveal changes in land cover and vegetation,providing insights into the potential natural barriers to dust movement.Reanalysis data is a climate or weather model simulation of the past that includes data assimilation.This type of data combines model data with observational data to provide a consistent long-term view of the weather.This unique dataset,spanning a broad time series from 1973 to 2023—Affords us the opportunity to precisely track the shifting characteristics of dust events,thereby laying the groundwork for the identification of potential correlations.Our research primarily seeks to comprehend the relationship between dust events and a
关 键 词:灾害性天气 沙尘天气 全球气候 沙源 沙尘日数 天气现象 沙尘事件 公共健康
分 类 号:P425.55[天文地球—大气科学及气象学]
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