Abstract

Abstract. With most eastern Chinese cities facing major air quality challenges, there is a strong need for city-scale emission inventories for use in both chemical transport modeling and the development of pollution control policies. In this paper, a high-resolution emission inventory (with a horizontal resolution of 3 × 3 km) of air pollutants and CO2 for Nanjing, a typical large city in the Yangtze River Delta, is developed, incorporating the best available information on local sources. Emission factors and activity data at the unit or facility level are collected and compiled using a thorough on-site survey of major sources. Over 900 individual plants, which account for 97 % of the city's total coal consumption, are identified as point sources, and all of the emission-related parameters including combustion technology, fuel quality, and removal efficiency of air pollution control devices (APCD) are analyzed. New data-collection approaches including continuous emission monitoring systems and real-time monitoring of traffic flows are employed to improve spatiotemporal distribution of emissions. Despite fast growth of energy consumption between 2010 and 2012, relatively small interannual changes in emissions are found for most air pollutants during this period, attributed mainly to benefits of growing APCD deployment and the comparatively strong and improving regulatory oversight of the large point sources that dominate the levels and spatial distributions of Nanjing emissions overall. The improvement of this city-level emission inventory is indicated by comparisons with observations and other inventories at larger spatial scale. Relatively good spatial correlations are found for SO2, NOx, and CO between the city-scale emission estimates and concentrations at nine state-operated monitoring sites (R = 0.58, 0.46, and 0.61, respectively). The emission ratios of specific pollutants including BC to CO, OC to EC, and CO2 to CO compare well to top-down constraints from ground observations. The interannual variability and spatial distribution of NOx emissions are consistent with NO2 vertical column density measured by the Ozone Monitoring Instrument (OMI). In particular, the Nanjing city-scale emission inventory correlates better with satellite observations than the downscaled Multi-resolution Emission Inventory for China (MEIC) does when emissions from power plants are excluded. This indicates improvement in emission estimation for sectors other than power generation, notably industry and transportation. A high-resolution emission inventory may also provide a basis to consider the quality of instrumental observations. To further improve emission estimation and evaluation, more measurements of both emission factors and ambient levels of given pollutants are suggested; the uncertainties of emission inventories at city scale should also be fully quantified and compared with those at national scale.

Highlights

  • Emission inventories are crucial for atmospheric science research, chemical transport modeling (CTM), and for air quality policymaking that seeks to identify and control pollution sources

  • Based on “bottom-up” principles and frameworks similar to those described in Streets et al (2003), more detailed source categories and expanded domestic information on emission factors and activity levels have been integrated into most recent work, yielding improved interannual trends in national estimates of anthropogenic air pollutant emissions (e.g., Multi-resolution Emission Inventory for China (MEIC); Zhao et al, 2012a, b, 2013)

  • From 2011 to 2012, the growth in coal consumption was limited while the average removal efficiencies of selective catalytic reduction (SCR) are significantly improved, leading to reduced NOx emissions for the whole city

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Summary

Introduction

Emission inventories are crucial for atmospheric science research, chemical transport modeling (CTM), and for air quality policymaking that seeks to identify and control pollution sources. Given China’s important role in the origins and transport of air pollutants in east Asia and beyond, a number of emission inventories at national scale have been established in recent years. These include the Transport and Chemical Evolution over the Pacific mission (TRACEP, Streets et al, 2003), the Intercontinental Chemical Transport Experiment-Phase B (INTEX-B, Zhang et al, 2009), the Regional Emission inventory in ASia (REAS, Ohara et al, 2007; Kurokawa et al, 2013), and the Multi-resolution Emission Inventory for China Aside from the national-level work, regional emission inventories have been established with improved understanding of local conditions for key areas with high densities of population, industry, and energy consumption, e.g., the Jing–Jin–Ji region including Beijing and Tianjin (JJJ; S. Wang et al, 2010), the Yangtze River Delta (YRD; Fu et al, 2013; Huang et al, 2011), and the Pearl River Delta (PRD; Zheng et al, 2009)

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