塔里木盆地空中蓄尘库效应对空气质量的影响

尹晓燕; 樊晋; 张萌; 吴欣妮; 张晓娇; 陈强; 王式功

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中国环境科学 ›› 2020, Vol. 40 ›› Issue (2) : 546-553.

大气污染与控制

塔里木盆地空中蓄尘库效应对空气质量的影响

尹晓燕¹, 樊晋¹, 张萌¹, 吴欣妮¹, 张晓娇¹, 陈强², 王式功¹

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The Airborne Dust Reservoir effect of Tarim Basin and its impact on air quality

YIN Xiao-yan¹, FAN Jin¹, ZHANG Meng¹, WU Xin-ni¹, ZHANG Xiao-jiao¹, CHEN Qiang², WANG Shi-gong¹

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摘要

利用WRF中尺度天气预报模式耦合GOCART大气化学气溶胶辐射传输模式，对2011年4月27日~5月2日源于我国西北沙尘源区的一次大范围沙尘天气过程进行了数值模拟，并结合MODIS卫星观测资料，发现了塔里木盆地对沙尘气溶胶分布的空中蓄尘库效应.为了对该效应及其对下风向城市空气质量的影响进行验证，期间在兰州大学监测点开展了1h分辨率PM₁₀中水溶性Ca²⁺浓度监测，并结合CALIPSO气溶胶类型垂直分布产品和HYSPLIT气团轨迹模型，利用PSCF方法分析了期间监测点的48h气团后向轨迹.模拟，遥感和监测结果共同表明，塔里木盆地的空中蓄尘库效应会对进入其内部的沙尘气溶胶产生限制-积累作用，若在限制-积累过程中盆地内部近地面风场改变，空中蓄尘库会二次释放沙尘气溶胶，对下风向城市空气质量产生影响.

Abstract

The arid and semi-arid area in Northwest China is an important dust source region in the world. Compared with other major dust sources around the globe, this region is characterized by the complexity of its surrounding landform. In this paper, the WRF mesoscale weather forecast model coupled with the GOCART atmospheric chemical-aerosol radiation and transmission model was used to simulate a large-scale dust episode which originated from the dust source region in northwest China from April 27, 2011 to May 2, and verified by the MODIS remote sensing data, the airborne dust reservoir effect of Tarim Basin on dust aerosol distribution was found. In order to verify this effect and its impact on the air quality of downwind city, hourly mass concentration of water-soluble Ca²⁺ in PM₁₀ was monitored in Lanzhou during this period. Combined with CALIPSO vertical aerosol feature mask product and HYSPLIT air mass trajectory model, PSCF was used to analyze the 48-hour backward trajectories of air mass which arrived at Lanzhou during this dust episode. The simulation, remote sensing and site monitoring indicated that the effect of Airborne Dust Reservoir would constrain and accumulate the inbound dust aerosol. Meanwhile, if the wind direction changed, the suspended dust aerosol constrained by the basin could re-release as a secondary dust source, which would exacerbate the impact of the dust episode on the air quality of downwind city.

导出引用

尹晓燕, 樊晋, 张萌, 吴欣妮, 张晓娇, 陈强, 王式功. 塔里木盆地空中蓄尘库效应对空气质量的影响[J]. 中国环境科学. 2020, 40(2): 546-553

YIN Xiao-yan, FAN Jin, ZHANG Meng, WU Xin-ni, ZHANG Xiao-jiao, CHEN Qiang, WANG Shi-gong. The Airborne Dust Reservoir effect of Tarim Basin and its impact on air quality[J]. China Environmental Science. 2020, 40(2): 546-553

中图分类号： X513 P425

参考文献

[1] North G R. Book Review:Climate change 1994:Radiative forcing of climate change and an evaluation of the IPCC IS92 emission scenarios. Intergovernmental panel on climate change (IPCC)[J]. Global & Planetary Change, 1997,15(s1/2):59-60.
[2] 孙稚权,程滕.沙尘颗粒物传输特征研究进展[J]. 黑龙江科技信息, 2016,(18):85.
[3] 郭俊,银燕,王咏薇,等.东亚沙尘分布、源汇及输送特征的模拟研究[J]. 中国环境科学, 2017,37(3):801-812. Guo J, Yin Y, Wang Y W, et al. Numerical study of the dust distribution, source and sink, and transport features over East Asia[J]. China Environmental Science, 2017,37(3):801-812.
[4] 陈思宇,黄建平,李景鑫,等.塔克拉玛干沙漠和戈壁沙尘起沙、传输和沉降的对比研究[J]. 中国科学:地球科学, 2017,47(8):939-957. Chen S Y, Huang J P, Li J X, et al. Comparison of dust emissions, transport, and deposition between the Taklimakan Desert and Gobi Desert. Science China Earth Sciences, 2017,47(8):939-957.
[5] 崔文岭.沙尘气溶胶自北向南长途传输过程中化学特征的演化及其与污染气溶胶的混合机理[D]. 上海:复旦大学, 2009. Cui W L. Evolution of chemical characteristics of dust aerosols during long distance transport from north to South and their mixing mechanism with pollution aerosols[D]. Shanghai:Fudan University, 2009.
[6] 白冰,张强,陈旭辉,等.东亚三次典型沙尘过程移动路径和特征[J]. 干旱气象, 2018,36(1):11-16. Bai B, Zhang Q, Chen X H, et al. Moving paths and spatial characteristics of three typical dust processes in east Asia[J]. Journal of Arid Meteorology, 2018,36(1):11-16.
[7] 葛觐铭.西北沙尘气溶胶光学特性反演与沙尘暴的卫星监测[D]. 兰州:兰州大学, 2010. Ge J M. Retrieval of aerosol optical properties and satellite monitoring of dust storms in Northwest China[D]. Lanzhou:Lanzhou University, 2010.
[8] Grell G A, Peckham S E, Schmitz R, et al. Fully coupled "online" chemistry within the WRF model[J]. Atmospheric Environment, 2005, 39(37):6957-6975.
[9] Ginoux P, Prospero J M, Torres O, et al. Long-term simulation of global dust distribution with the GOCART model:correlation with North Atlantic Oscillation[J]. Environmental Modelling & Software, 2004,19(2):113-128.
[10] Alizadeh-Choobari O, Zawar-Reza P, Sturman A. The "wind of 120days" and dust storm activity over the Sistan Basin[J]. Atmospheric research, 2014,143(Jun.):328-341.
[11] Gillette D A, Passi R. Modeling Dust Emission Caused by Wind Erosion[J]. Journal of Geophysical Research Atmospheres, 1988, 93(D11):14233-14242.
[12] Ginoux P, Chin M, Tegen I, et al. Sources and distributions of dust aerosols simulated with the GOCART model[J]. Journal of Geophysical Research Atmospheres, 2001,106(D17):20255-20274.
[13] Mlawer E J, Taubman S J, Brown P D, et al. Radiative transfer for inhomogeneous atmospheres:RRTM, a validated correlated-k model for the longwave[J]. Journal of Geophysical Research Atmospheres, 1997,102(D14):16663-16682.
[14] Peters-Lidard C D, Kemp E M, Matsui T, et al. Integrated modeling of aerosol, cloud, precipitation and land processes at satellite-resolved scales[J]. Environmental Modelling and Software, 2015,67(5):149-159.
[15] Chen F, Dudhia J. Coupling an advanced land surface-hydrology model with the penn state-NCAR MM5 modeling system. Part I:model implementation and sensitivity[J]. Monthly Weather Review, 2001,129(4):569-585.
[16] Monin A S, Obukhov A M. Basic laws of turbulent mixing in the atmosphere near the ground[J]. Doki Akad Nauk Sssr, 1954,151:1963-1987.
[17] Hong S Y. A new vertical diffusion package with an explicit treatment of entrainment processes[J]. Monthly Weather Review, 2006,134(9):2318.
[18] Arakawa A, Lamb V R. Computational design of the basic dynamical processes of the ucla general circulation model[J]. Methods in Computational Physics, 1977,17:173-265.
[19] Grell G A, Dezso Dévényi. A generalized approach to parameterizing convection combining ensemble and data assimilation techniques[J]. Geophysical Research Letters, 2002,29(14):38-1-38-4.
[20] HJ618-2011环境空气PM₁₀和PM_2.5的测定-重量法[S]. HJ618-2011 Determination of atmospheric articles PM₁₀ and PM_2.5 in ambient air by gravimetric method[S].
[21] Rumsey I C, Cowen K A, Walker J T, et al. An assessment of the performance of the Monitor for AeRosols and GAses in ambient air (MARGA):a semi-continuous method for soluble compounds[J]. Atmospheric Chemistry and Physics, 2014,14(11):5639-5658.
[22] Stein A F, Draxler R R, Rolph G D, et al. NOAA's hysplit atmospheric transport and dispersion modeling system[J]. Bulletin of the American Meteorological Society, 2016,96(12):150504130527006.
[23] Broomandi P, Dabir B, Bonakdarpour B, et al. Mineralogical and chemical characterization of suspended atmospheric particles in Ahvaz[J]. International Journal of Environmental Research, 2017,11(1):55-62.
[24] Nicolás J, Chiari M, Crespo J, et al. Assessment of potential source regions of PM2.5components at a southwestern Mediterranean site[J]. Tellus Series B-chemical & Physical Meteorology, 2011,63(1):96-106.
[25] Savtchenko A, Ouzounov D, Ahmad S, et al. Terra and aqua modis products available from NASA GES DAAC[J]. Advances in Space Research, 2004,34(4):710-714.
[26] Winker D M, Pelon J. The CALIPSO mission[C]//Geoscience and Remote Sensing Symposium, 2003. IGARSS'03. Proceedings. 2003IEEE International. IEEE, 2003.
[27] Omar A H, Winker D M, Kittaka C, et al. The CALIPSO Automated Aerosol Classification and Lidar Ratio Selection Algorithm[J]. Journal of Atmospheric & Oceanic Technology, 2009,26(10):1994-2014.