Direct radiative effect of carbonaceous aerosols from crop residue burning during the summer harvest season in East China
Direct radiative effect of carbonaceous aerosols from crop residue burning during the summer harvest season in East China
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华东地区夏收季农作物秸秆焚烧碳质气溶胶的直接辐射效应
DOI：
10.5194/acp-17-5205-2017
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发表时间：
2016-11
影响因子：
6.3
通讯作者：
Zhu Tong
中科院分区：
文献类型：
--
作者：
Yao Huan;Song Yu;Liu Mingxu;Archer-Nicholls Scott;Lowe Douglas;McFiggans Gordon;Xu Tingting;Du Pin;Li Jianfeng;Wu Yusheng;Hu Min;Zhao Chun;Zhu Tong
抽象的。华东地区在收获季节经历了大规模的秸秆焚烧。利用WRF-Chem模式对2013年6月华东地区秸秆焚烧碳气溶胶的直接辐射效应（DRE）进行了研究。使用Saleh等人（2014）的参数化考虑了存在棕碳时有机气溶胶（OA）的吸收，其中OA折射率的虚部是波长和黑碳（BC）与OA之比的函数。使用中分辨率成像光谱仪（MODIS）火灾辐射功率（FRP）产品与本地作物燃烧源的BC-有机碳（OC）的排放比为0.27的碳排放量估计从作物火灾。通过对空气动力学直径小于2. 5 µm的颗粒物（PM2. 5）化学成分的现场测量、MODIS气溶胶光学厚度（AOD）探测和气象观测对模型结果进行评价，结果表明该模型能够再现碳气溶胶污染的量级、空间变化和光学特征。在2013年小麦燃烧季节，在安徽省遂溪观测到的BC和OC峰值浓度分别达到55.3 µg m−3和157.9 µg m−3。WRF-Chem模拟重现了这些趋势，相关系数为0.74，估计作物残留物燃烧分别占BC和OC峰值的86%和90%。在遂溪站点，模拟的作物残体在大气层顶燃烧的每小时DRE最大值为+22.66 W m−2。平均而言，模拟结果表明，在整个华东地区，作物残茬燃烧在TOA产生了+0.14 W m−2的净正DRE，来自该来源的BC是主要的加热贡献者（+0.79 W m−2）。作物燃烧产生的OA DRE（−0.22 W m−2）是吸收的正DRE（+0.21 W m−2）和散射的更强的负DRE（−0.43 W m−2）的综合效应。敏感性试验表明，OA吸收的DRE强烈依赖于OA折射率的虚部，从作物残体燃烧的BC-OA排放比和气溶胶的假定混合状态，从而体积混合处理导致更高的正DRE相比，核-壳处理。在未来的研究中，将详细研究BC老化过程中的BC混合状态和相关的吸收增强。
Abstract. East China experiences extensive crop residue burnings in fields during harvest season. The direct radiative effect (DRE) of carbonaceous aerosols from crop residue burning in June 2013 in East China was investigated using the Weather Research and Forecasting Model coupled with Chemistry (WRF-Chem). Absorption of organic aerosol (OA) in the presence of brown carbon was considered using the parameterization of Saleh et al. (2014), in which the imaginary part of the OA refractive index is a function of wavelength and the ratio of black carbon (BC) and OA. The carbonaceous emissions from crop fires were estimated using the Moderate Resolution Imaging Spectroradiometer (MODIS) fire radiative power (FRP) product with a localized crop-burning-sourced BC-to-organic carbon (OC) ratio emission ratio of 0.27. Evaluation of the model results with in situ measurements of particulate matter with aerodynamic diameter less than 2.5 µm (PM2. 5) chemical composition, MODIS aerosol optical depth (AOD) detections and meteorological observations showed that this model was able to reproduce the magnitude, spatial variation and optical characteristics of carbonaceous aerosol pollution. The observed BC and OC peak concentrations at the site in Suixi, Anhui province, during the 2013 wheat burning season reached 55.3 µg m−3 and 157.9 µg m−3. WRF-Chem simulations reproduced these trends with a correlation coefficient of 0.74, estimating that crop residue burning contributed 86 and 90 % of peak BC and OC, respectively. The simulated hourly DRE from crop residue burning at the top of atmosphere (TOA) reached a maximum of +22.66 W m−2 at the Suixi site. On average, the simulations showed that the crop residue burning introduced a net positive DRE of +0.14 W m−2 at TOA throughout East China, with BC from this source as the main heating contributor (+0.79 W m−2). The OA DRE from crop burning (−0.22 W m−2) was a combined effect of the positive DRE of absorption (+0.21 W m−2) and a stronger negative DRE of scattering (−0.43 W m−2). Sensitivity tests showed that the DRE of OA absorption strongly depended on the imaginary part of the OA refractive index, the BC-to-OA emission ratio from crop residue burning and the assumed mixing state of the aerosol, whereby the volume mixing treatment resulted in a higher positive DRE compared to the core–shell treatment. The BC mixing state and associated absorption enhancement during BC aging processes will be investigated in detail in future research.
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影响因子：
6.3
作者：
Chapman, E. G.;Gustafson, W. I., Jr.;Fast, J. D.
通讯作者：
Fast, J. D.
DOI：
10.1029/2012jd018364
发表时间：
2013-03
期刊：
Journal of Geophysical Research: Atmospheres
影响因子：
--
作者：
Chun Zhao;L. Ruby Leung;R. Easter;J. Hand;J. Avise
通讯作者：
Chun Zhao;L. Ruby Leung;R. Easter;J. Hand;J. Avise
中国高时空分辨率的综合生物质燃烧排放清单
影响因子：
6.3
作者：
Zhou Ying;Xing Xiaofan;Lang Jianlei;Chen Dongsheng;Cheng Shuiyuan;Wei Lin;Wei Xiao;Liu Chao
通讯作者：
Liu Chao
影响因子：
3.4
作者：
B. Zhuang;F. Jiang;Tijian Wang;Shu Li;B. Zhu
通讯作者：
B. Zhuang;F. Jiang;Tijian Wang;Shu Li;B. Zhu
DOI：
10.1073/pnas.1206575109
发表时间：
2012-09-11
影响因子：
11.1
作者：
Lack, Daniel A.;Langridge, Justin M.;Schwarz, Joshua P.
通讯作者：
Schwarz, Joshua P.