Elsevier

Atmospheric Research

Volume 169, Part A, 1 March 2016, Pages 237-247
Atmospheric Research

Study of aerosol optical properties at Kunming in southwest China and long-range transport of biomass burning aerosols from North Burma

https://doi.org/10.1016/j.atmosres.2015.10.012Get rights and content

Highlights

  • The distinct seasonal variability of aerosol optical properties in Kunming is revealed.

  • The importance of aerosol hygroscopic growth in regulating the seasonal change of aerosol properties is shown.

  • The transport of biomass burning aerosols from North Burma to southwest China is presented.

Abstract

Seasonal variation of aerosol optical properties and dominant aerosol types at Kunming (KM), an urban site in southwest China, is characterized. Substantial influences of the hygroscopic growth and long-range transport of biomass burning (BB) aerosols on aerosol optical properties at KM are revealed. These results are derived from a detailed analysis of (a) aerosol optical properties (e.g. aerosol optical depth (AOD), columnar water vapor (CWV), single scattering albedo (SSA) and size distribution) retrieved from sunphotometer measurements during March 2012–August 2013, (b) satellite AOD and active fire products, (c) the attenuated backscatter profiles from the space-born lidar, and (d) the back-trajectories. The mean AOD440nm and extinction Angstrom exponent (EAE440  870) at KM are 0.42 ± 0.32 and 1.25 ± 0.35, respectively. Seasonally, high AOD440nm (0.51 ± 0.34), low EAE440  870 (1.06 ± 0.34) and high CWV (4.25 ± 0.97 cm) during the wet season (May – October) contrast with their counterparts 0.17 ± 0.11, 1.40 ± 0.31 and 1.91 ± 0.37 cm during the major dry season (November–February) and 0.53 ± 0.29, 1.39 ± 0.19, and 2.66 ± 0.44 cm in the late dry season (March–April). These contrasts between wet and major dry season, together with the finding that the fine mode radius increases significantly with AOD during the wet season, suggest the importance of the aerosol hygroscopic growth in regulating the seasonal variation of aerosol properties. BB and Urban/Industrial (UI) aerosols are two major aerosol types. Back trajectory analysis shows that airflows on clean days during the major dry season are often from west of KM where the AOD is low. In contrast, air masses on polluted days are from west (in late dry season) and east (in wet season) of KM where the AOD is often large. BB air mass is found mostly originated from North Burma where BB aerosols are lifted upward to 5 km and then subsequently transported to southwest China via prevailing westerly winds.

Introduction

Atmospheric aerosols from natural and anthropogenic sources have important impacts on climate, air quality and human health. To understand these impacts, it is essential to characterize aerosol optical, physical, and chemical properties at different locations because of their highly temporal variability and spatial inhomogeneity. Ground-based remote sensing of aerosols is one of the important tools in accurately characterizing column-integrated aerosol optical and physical properties. Ground-based network of remote sensing aerosol optical properties using sunphotometer goes back to 1960s in America and Europe (Volz, 1965, Holben et al., 2001 and references therein). Several international and regional ground-based sunphotometer networks have been established during recent decades, for example, the Aerosol Robotic Network (AERONET) (Holben et al., 1998), SKYradiometer NETwork (Uchiyama et al., 2005), the Global Atmosphere Watch Precision Filter Radiometer network (Wehrli, 2005), and China Aerosol Remote Sensing Network (CARSNET) (Che et al., 2009). The data have been widely used by the aerosol community to characterize aerosol optical properties, to evaluate satellite retrievals and model simulations, and to study aerosol effects on climate (Holben et al., 2001).

Column-integrated aerosol optical and physical properties based on ground-based remote sensing data were widely studied in east China (Xia et al., 2007), the North China Plain(Che et al., 2014, Xia et al., 2005) and the Tibetan Plateau (Huang et al., 2007, Li et al., 2011 and references therein). Xia et al. (2005) showed that the monthly mean aerosol optical depth (AOD) at 750 nm in spring could range from 0.32 to 0.68 in North China. In the urban region of North China Plain, AOD seasonal variation can be more distinct and the annual mean AOD at 550 nm can reach 0.8 (Li et al., 2007). Equally high values of the annual mean AOD were also observed over south China, such as 0.7 in the Sichuan Basin (Luo et al., 2001, Tao et al., 2013).While the atmosphere over the Tibetan Plateau is pristine in general, it can be occasionally affected by long-range transport of dust aerosols from the Taklimakan Desert in summer and anthropogenic aerosols from South Asia in spring (Huang et al., 2007, Xia et al., 2008). However, the study of ground-based remote sensing of aerosol optical properties in southwest China is still quite limited.

It is expected that aerosol properties in southwest China should be quite different from those in other regions of China because of differences in topography, regional climate, and aerosol sources. Due to the high elevation (exceeding 1 km) and the low latitude, the climate in southwest China is characterized by a few interesting features, for example, year-long intense solar radiation and large diurnal variation, small monthly variations of temperature and the two distinct seasons, namely the wet season (May–October) which contributes 85% of the annual rainfall (Qin et al., 2010) and the dry season (November–April) with an average of 20 days of sunshine in a month. It therefore can be hypothesized that the aerosol hygroscopic process may render different aerosol properties between the dry and wet seasons.

Biomass burning (BB) in Asia is an important contributor to air pollution in the region (Streets et al., 2003, Sahu and Saxena, 2015). Many studies show its influence on regional gaseous pollutant (Zhao et al., 2015) and aerosol properties such as particle matter (PM) concentration and chemical compositions (Deka and Hoque, 2014, Wang et al., 2015). Although some studies found that aerosol and gases from BB in South and Southeast Asia can be transported to Southeast China and the northwestern Pacific (Zhang et al., 2012, Jacob et al., 2003), few studies highlighted possible impact of emission from South and Southeast Asia on air quality and regional climate in southwest China. On the basis of aerosol chemical speciation data (Hao and Liu, 1994, Streets et al., 2003), the BB aerosols from long-range transport are found in southwest China. However, the impact of such transport on the column-integrated aerosol optical properties in southwest China is limited in part due to the lack of ground-based observations. To overcome this limitation and evaluate the importance of aerosol hygroscopicity in regulating the characteristics of aerosol properties, in 2012 we have established a sunphotometer site at Kunming (KM), the capital of Yunnan Province, southwest China.

This study presents, for the first time, the ground-based sunphotometer measurements of aerosol optical properties and aerosol types at KM in southwest China, including their seasonal variations and the attribution of different processes (such as long-range transport vs. local emission and hygroscopicity) to these variations. While accurate, sunphotometer measurements are nevertheless taken at only one location (point) and hence lack spatial coverage. To tackle this challenge, a combined analysis of aerosol data from ground-based and satellite remote sensing measurements as well as the back-trajectories is conducted. The data and methods are introduced in Section 2. 3 Seasonal variation of aerosol optical properties and aerosol types, 4 Comparison of airflows on clean/polluted days and long-range transport of BB aerosol present the results of aerosol properties and process analysis, respectively. The discussion and conclusions are given in Section 5.

Section snippets

Site

The sunphotometer site (25.01°N, 102.65°E) is located west of KM, with an elevation of 1889 m a.s.l. The instrument is established at the observation field of the Kunming Xishan district Meteorological bureau. This field is surrounded by grass and crops without serious pollution sources nearby. For the mean climate, there are two abrupt jumps of the monthly precipitation. Monthly precipitation increases dramatically from 24 cm in April to 98 cm in May and decreases from 80 cm in October to 42 cm in

Seasonal variation of aerosol optical properties and aerosol types

The monthly and seasonal statistics of aerosol optical properties observed by sunphotometer are presented in Fig. 3. The annual mean AOD440nm at KM is 0.42 ± 0.32, which is much lower than observed AOD at other urban areas of China. For example, the annual mean AOD at 550 nm is 0.77 in the Yangtze Delta region (Xia et al., 2007), 0.80 in the North China Plain (Li et al., 2007), and 0.92 at 533 nm over the Pearl River Delta (Ansmann et al., 2005). Distinct seasonal variability can be found for the

Comparison of airflows on clean/polluted days and long-range transport of BB aerosol

In order to improve our understanding of seasonal AOD variation in southwest China, the analysis of the spatial distribution of MODIS_AOD at 550 nm and airflows on clean and polluted days is performed, which shows significant and interesting differences in air mass sources and regional distribution of MODIS_AOD during the different seasons. The sunphotometer observations have been made over 300 days at KM. We sort the daily AOD440nm in ascending order and select days with AOD440nm < 25th

Discussion and conclusions

Higher AODs are observed in the wet season at KM, which is different from many previous studies in the ITCZ-influenced regions that show low AOD during the wet season (Kaskaoutis et al., 2009). This is understood that in monsoon or ITCZ regions like south of India and some southeast Asian countries, precipitation occurs nearly every day during the wet season, washing out the aerosol in the air and allowing aerosol less time to grow. However, the climate at KM is different from that in the

Acknowledgments

The authors are grateful to Haylie Mikulak of University of Nebraska-Lincoln for her help of proof-reading. This work is supported byte Strategic Priority Research Program of the Chinese Academy of Sciences (XDA05100301), the National Science Foundation of China (41175031, 41375153) and the National Key Project of Basic Research (2014CB441201). The MODIS aerosol and active fire products are available from the Atmosphere Archive and Distribution System (LAADS) website (//ladsweb.nascom.nasa.gov

References (52)

  • A. Ångström

    On the atmospheric transmission of Sun radiation and on dust in the air

    Geogr. Ann.

    (1929)
  • A. Ansmann et al.

    High aerosol load over the Pearl River Delta, China, observed with Raman lidar and Sun photometer

    Geophys. Res. Lett.

    (2005)
  • R.W. Bergstrom et al.

    Wavelength dependence of the absorption of black carbon particles: predictions and results from the TARFOX experiment and implications for the aerosol single scattering albedo

    J. Atmos. Sci.

    (2002)
  • R.W. Bergstrom et al.

    Spectral absorption properties of atmospheric aerosols

    Atmos. Chem. Phys.

    (2007)
  • H.Z. Che et al.

    Instrument calibration and aerosol optical depth validation of the China Aerosol Remote Sensing Network

    J. Geophys. Res.-Atmos.

    (2009)
  • H. Che et al.

    Column aerosol optical properties and aerosol radiative forcing during a serious haze-fog month over North China Plain in 2013 based on ground-based sunphotometer measurements

    Atmos. Chem. Phys.

    (2014)
  • D.E. Day et al.

    Aerosol light scattering measurements as a function of relative humidity

    J. Air Waste Manage. Assoc.

    (2000)
  • R.R. Draxler et al.

    HYSPLIT4 User's Guide

    (1999)
  • O. Dubovik et al.

    A flexible inversion algorithm for retrieval of aerosol optical properties from Sun and sky radiance measurements

    J. Geophys. Res.

    (2000)
  • O. Dubovik et al.

    Accuracy assessments of aerosol optical properties retrieved from Aerosol Robotic Network (AERONET) Sun and sky radiance measurements

    J. Geophys. Res.-Atmos.

    (2000)
  • O. Dubovik et al.

    Variability of absorption and optical properties of key aerosol types observed in worldwide locations

    J. Atmos. Sci.

    (2002)
  • O. Dubovik et al.

    Application of spheroid models to account for aerosol particle nonsphericity in remote sensing of desert dust

    J. Geophys. Res.-Atmos.

    (2006)
  • T.F. Eck et al.

    wavelength dependence of the optical depth of biomass burning, urban, and desert dust aerosols.pdf

    J. Geophys. Res.

    (1999)
  • T.F. Eck et al.

    Climatological aspects of the optical properties of fine/coarse mode aerosol mixtures

    J. Geophys. Res.-Atmos.

    (2010)
  • L. Giglio

    MODIS Collection 5 Active Fire Product User's Guide Version 2.5

  • D.M. Giles et al.

    Aerosol properties over the Indo-Gangetic Plain: a mesoscale perspective from the TIGERZ experiment

    J. Geophys. Res.

    (2011)
  • Cited by (66)

    View all citing articles on Scopus
    View full text