Articles | Volume 17, issue 8
Atmos. Chem. Phys., 17, 4957–4988, 2017
Atmos. Chem. Phys., 17, 4957–4988, 2017
Research article
18 Apr 2017
Research article | 18 Apr 2017

Multi-pollutant emissions from the burning of major agricultural residues in China and the related health-economic effects

Chunlin Li1, Yunjie Hu1, Fei Zhang1, Jianmin Chen1,2, Zhen Ma1, Xingnan Ye1, Xin Yang1,2, Lin Wang1,2, Xingfu Tang1, Renhe Zhang2, Mu Mu2, Guihua Wang2, Haidong Kan3, Xinming Wang4, and Abdelwahid Mellouki5 Chunlin Li et al.
  • 1Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP), Department of Environmental Science & Engineering, Fudan University, Handan Road 220, Shanghai, 200433, China
  • 2Institute of Atmospheric Sciences, Fudan University, Handan Road 220, Shanghai, 200433, China
  • 3Public Health School, Fudan University, Dongan Road 120, Shanghai, 200032, China
  • 4State Key Lab of Organ Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Kehuajie Road 511, Guangzhou, 510640, China
  • 5Institut de Combustion, Aérothermique, Réactivité et Environnement, CNRS, 45071 Orléans CEDEX 02, France

Abstract. Multi-pollutants in smoke particulate matter (SPM) were identified and quantified for the biomass burning of five major agricultural residues (wheat, rice, corn, cotton, and soybean straw) in China by an aerosol chamber system combined with various measurement techniques. The primary emission factors (EFs) for PM1. 0 and PM2. 5 are 3.04–12.64 and 3.25–15.16 g kg−1. Organic carbon (OC), elemental carbon (EC), water-soluble inorganics (WSIs), water-soluble organic acids (WSOAs), water-soluble amine salts (WSAs), trace mineral elements (THMs), polycyclic aromatic hydrocarbons (PAHs), and phenols in smoke PM1. 0/PM2. 5 are 1.34–6.04/1.54–7.42, 0.58–2.08/0.61–2.18, 0.51–3.52/0.52–3.81, 0.13–0.64/0.14–0.77, (4.39–85.72/4.51–104.79)  ×  10−3, (11.8-51.1/14.0-131.6)  ×  10−3, (1.1–4.0/1.8–8.3)  ×  10−3, and (7.7–23.5/9.7–41.5)  ×  10−3 g kg−1, respectively. Black carbon (BC) mainly exists in PM1. 0; heavy-metal-bearing particles favour residing in the range of smoke PM1. 0−2. 5, which is also confirmed by individual particle analysis.

With respect to the five scenarios of burning activities, the average emissions and overall propagation of uncertainties at the 95 % confidence interval (CI) of SPM from agricultural open burning in China in 2012 were estimated to be 1005.7 (−24.6, 33.7 %), 901.4 (−24.4, 33.5 %), 432.4 (−24.2, 33.5 %), 134.2 (−24., 34.0 %), 249.8 (−25.4, 34.9 %), 25.1 (−33.3, 41.4 %), 5.8 (−30.1, 38.5 %), 8.7 (−26.6, 35.6 %), 0.5 (−26.0, 34.9 %), and 2.7 (−26.1, 35.1 %) Gg for PM2. 5, PM1. 0, OC, EC, WSI, WSOA, WSA, THM, PAHs, and phenols , respectively. The emissions were further spatio-temporally characterized using a geographic information system (GIS) in different regions in the summer and autumn post-harvest periods. It was found that less than 25 % of the total emissions were released during the summer harvest, which was mainly contributed by the North Plain and the centre of China, especially Henan, Shandong, and Anhui, which are the top three provinces regarding smoke particle emissions.

Flux concentrations of primarily emitted smoke PM2. 5 that were calculated using the box-model method based on five versions of emission inventories all exceed the carcinogenic-risk permissible exposure limits (PEL). The health impacts and health-related economic losses from the smoke PM2. 5 short-term exposure were assessed. The results show that China suffered from 7836 cases (95,% CI: 3232, 12362) of premature mortality and 7 267 237 cases (95 % CI: 2 961 487, 1 130 784) of chronic bronchitis in 2012, which led to losses of USD 8822.4 million (95 % CI: 3574.4, 13 034.2) or 0.1 % of the total GDP. We suggest that the percentage of open-burnt crop straw in the post-harvest period should be cut down by over 97 % to ensure a reduction in carcinogenicity risk, especially in the North Plain and the northeast, where the emissions should decrease at least by 94 % to meet the PEL. With such emission control, over 92 % of the mortality and morbidity attributed to agricultural fire smoke PM2. 5 can be avoided in China.

Short summary
Detailed emission factors for smoke particulate species in PM2.5 and PM1.0 were derived from laboratory simulation of crop straw burning using aerosol chamber systems. Based on this, emissions for crop residue field burning in China were calculated and characterized with respect to five different burning scenarios. Moreover, health effects and health-related economic loss from smoke particle exposure were assessed; a practical emission control policy for agricultural field burning was proposed.
Final-revised paper