Abstract

Abstract. Particulate matter (PM) mass concentrations, seasonal cycles, source sector, and source region contributions in Central Asia (CA) are analyzed for the period April 2008–July 2009 using the Sulfur Transport and dEposition Model (STEM) chemical transport model and modeled meteorology from the Weather Research and Forecasting (WRF) model. Predicted aerosol optical depth (AOD) values (annual mean value ~0.2) in CA vary seasonally, with lowest values in the winter. Surface PM2.5 concentrations (annual mean value ~10 μg m−3) also exhibit a seasonal cycle, with peak values and largest variability in the spring/summer, and lowest values and variability in the winter (hourly values from 2 to 90 μg m−3). Surface concentrations of black carbon (BC) (mean value ~0.1 μg m−3) show peak values in the winter. The simulated values are compared to surface measurements of AOD as well as PM2.5, PM10, BC, and organic carbon (OC) mass concentrations at two regional sites in Kyrgyzstan (Lidar Station Teplokluchenka (LST) and Bishkek). The predicted values of AOD and PM mass concentrations and their seasonal cycles are fairly well captured. The carbonaceous aerosols are underpredicted in winter, and analysis suggests that the winter heating emissions are underestimated in the current inventory. Dust, from sources within and outside CA, is a significant component of the PM mass and drives the seasonal cycles of PM and AOD. On an annual basis, the power and industrial sectors are found to be the most important contributors to the anthropogenic portion of PM2.5. Residential combustion and transportation are shown to be the most important sectors for BC. Biomass burning within and outside the region also contributes to elevated PM and BC concentrations. The analysis of the transport pathways and the variations in particulate matter mass and composition in CA demonstrates that this region is strategically located to characterize regional and intercontinental transport of pollutants. Aerosols at these sites are shown to reflect dust, biomass burning, and anthropogenic sources from Europe; South, East, and Central Asia; and Russia depending on the time period. Simulations for a reference 2030 emission scenario based on pollution abatement measures already committed to in current legislation show that PM2.5 and BC concentrations in the region increase, with BC growing more than PM2.5 on a relative basis. This suggests that both the health impacts and the climate warming associated with these particles may increase over the next decades unless additional control measures are taken. The importance of observations in CA to help characterize the changes that are rapidly taking place in the region are discussed.

Highlights

  • Central Asia (CA), a region of republics located between Europe and Asia, faces severe environmental problems, with origins dating back to the 1960s and best symbolized by the Aral Sea catastrophe (Whish-Wilson, 2002)

  • In this paper we present a modeling analysis of PM2.5, PM10 (PM2.5 refers to particles in the size range of less than 2.5 μm aerodynamic diameter (AD) and PM10 refers to particles in the size range of less than 10 μm AD), black carbon (BC), and organic carbon (OC) mass concentrations, and aerosol optical depth (AOD) over the time period of April 2008 to July 2009

  • AOD in CA during the period April 2008 through July 2009 averaged ∼ 0.3 and displayed a seasonal cycle, with the lowest values in the winter and highest values in spring to midsummer with observed values of AOD > 0.6 and even > 0.8

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Summary

Introduction

Central Asia (CA), a region of republics located between Europe and Asia, faces severe environmental problems, with origins dating back to the 1960s and best symbolized by the Aral Sea catastrophe (Whish-Wilson, 2002). Despite the awareness of the environmental conditions, it remains an understudied region and there is a general lack of air pollution observations within CA. The magnitude of the pollution transport from Europe to Asia is highly uncertain, in large part due to the lack of observations of pollutants along this pathway. To help better characterize the air pollution levels and the transport pathways in the region a study was undertaken between scientists from Russia, Kyrgyzstan, and the USA to observe and model aerosols in the region. Measurements of particulate matter (PM) mass and composition were taken at two locations in Kyrgyzstan (Lidar Station Teplokluchenka (LST) and Bishkek) and modeling analysis was performed to assess the contributions of local, regional, and distant sources to the PM concentrations in the region (Miller-Schulze et al, 2012; Chen et al, 2012, 2013). We present results of how the PM concentrations may change in the future using emission scenarios for 2030 that reflect possible air quality and climate policies

Observations
Meteorological model
Chemical transport model
Modeling domain
Air mass trajectories
Base emissions
Future emissions scenarios
Simulations analyzed
Model evaluation
Regional perspective
Comparison with MODIS and AERONET AOD
Comparison with PM10 observations from EMEP and EANET network
Comparison with surface observations in CA
Seasonal variations in AOD and PM at the observation sites
Source contributions to BC
Vertical distributions
Transport into CA
Transport pathways
Long-range transport of CA sources
Future scenarios
Summary
Full Text
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