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A methodology to estimate source-specific aerosol radiative forcing

机译:估算特定源气溶胶辐射强迫的方法

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摘要

This paper presents a novel approach to estimate source-specific radiative forcing by combining source apportionment results for particulate matter mass with satellite (moderate resolution imaging spectroradiometer (MODIS)) derived aerosol optical depth (AOD). Positive matrix factorization (PMF) was applied to particulate matter (PM) mass and its chemical constituents measured during a winter intensive study (December 2004) at Hisar, Haryana, India. The model resolved four factors including carbonate rich dust, combustion rich aerosol, secondary sulfateitrate, and an unidentified factor likely to be emission from polymer industries. Carbonate rich dust was the highest contributor to the measured PM mass closely followed by combustion rich aerosol with their average contributions accounting for 34.0% and 33.6%, respectively. Model apportioned species concentrations corresponding to each factor were then used to estimate factor specific optical and radiative properties, and radiative transfer calculations were performed for the shortwave regime. During the study period, although carbonate rich dust and combustion rich aerosol mass contributions were comparable, carbonate rich dust contributed to only 22% of top of the atmosphere forcing while combustion rich aerosol contributed nearly 56%. Overall, the results suggested that the aerosol radiative forcing was primarily governed by the aerosol optical and radiative properties, while the mass concentrations played a secondary role.
机译:本文提出了一种新颖的方法,通过将颗粒物质量的源分配结果与卫星(中分辨率成像光谱仪(MODIS))得出的气溶胶光学深度(AOD)相结合,来估算特定于源的辐射强迫。在印度哈里亚纳邦希萨尔的冬季密集研究(2004年12月)中,对颗粒物(PM)质量及其化学成分进行了正矩阵分解(PMF)。该模型解决了四个因素,包括富含碳酸盐的粉尘,富含燃烧的气溶胶,仲硫酸盐/硝酸盐以及一个可能来自聚合物行业的不确定因素。富含碳酸盐的粉尘是促成PM量最大的因素,其次是富含燃烧气溶胶,其平均贡献分别为34.0%和33.6%。然后,将与每个因子相对应的模型分摊的物种浓度用于估算因子特定的光学和辐射特性,并对短波模式进行辐射传递计算。在研究期间,尽管富含碳酸盐的粉尘和富含燃烧的气溶胶的质量贡献相当,但富含碳酸盐的尘埃仅占大气强迫的22%,而富含燃烧的气溶胶贡献了近56%。总体而言,结果表明,气溶胶的辐射强迫主要由气溶胶的光学和辐射特性决定,而质量浓度起次要作用。

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