Department of Environmental Science and Technology, School of Environmental Studies, China University of Geosciences, Wuhan 430074, China.
Department of Atmospheric Sciences, School of Environmental Studies, China University of Geosciences, Wuhan 430074, China.
Environ Int. 2020 Sep;142:105812. doi: 10.1016/j.envint.2020.105812. Epub 2020 Jun 1.
Biomass burning (BB) has significant impacts on air quality, climate and human health. In China, the BB emission has changed substantially over the past decades while the multi-year variation held high uncertainty and the driving forces have addressed little attention. Here, this research aimed to conduct a comprehensive and systematic analysis of BB variation in China and provided precise and targeted BB emission reduction suggestions. The moving of high emission for BB from 2003 to 2014 was clearly identified, by the view of reliable emission estimation and anthropogenic impacts. Multiple satellite products, field survey, time varying biomass loading data and measured emission factors were adopted to better estimating BB emission and reducing the uncertainty. Social-economic analysis was added to assess the anthropogenic impacts on high emission variation quantitatively. Results showed that the cumulative BB emissions of OC, EC, CH, NO, NMVOC, SO, NH, CO, CO, PM and PM during 2003-2014 were 1.6 × 10, 5.64 × 10, 3.57 × 10, 1.7 × 10, 5.44 × 10, 2.96 × 10, 6.77 × 10, 6.5 × 10, 1.15 × 10, 5.26 × 10 and 6.04 × 10 Gg, respectively. Crop straw burning (in-field and domestic) in northeast China plain (NEP), north China plain (NCP), northern arid and semiarid region and loess plateau were the key sources, averagely contributed 73% for all the pollutants emission. While domestic straw burning and firewood burning in Sichuan basin (SB), Yunnan-Guizhou plateau and southern China were main contributors, averagely accounting for 70% of all the pollutants emission. On regional level, high emissions were mainly found in SB, NCP and NEP. Temporally, high emissions were mainly found in crop sowing harvesting and heating seasons. From 2003 to 2014, the BB emission for different biomass species has changed significantly in different regions. High emission has gradually moved from SB to NCP and NEP. Firewood burning and domestic straw burning emission decreased by 47% and 14% in SB, respectively. In-field straw burning emission increased by 52% and 231% in NCP and NEP respectively and domestic straw burning emission increased by 62% in NEP. Emissions from heating season have decreased while emissions in corn harvest season were continuously increased. Analysis of Environmental kuznets curve, agricultural productivity level, human burning habits, rural energy structure and local control policies revealed the internal human driving strength of the variation for BB emission. The unbalanced development of social economy and the policy bias were primary drivers of limiting the BB management. BB emission will alleviate in NCP and aggravate in NEP. For the further emission reduction, effective measures for corn sources management, straw returning and rural energy utilization should be systematically considered. This research provides a clear evidence for the multi-year variation pattern of BB emissions, which is critical for pollution prediction, air quality modeling and targeted mitigation strategies for the key regions of China.
生物质燃烧(BB)对空气质量、气候和人类健康有重大影响。在中国,过去几十年中,BB 排放量发生了重大变化,而多年的变化仍存在高度不确定性,且驱动因素尚未得到充分关注。因此,本研究旨在全面系统地分析中国 BB 的变化情况,并提出精确、有针对性的 BB 减排建议。通过可靠的排放估算和人为影响,明确了从 2003 年到 2014 年 BB 高排放源地的转移。采用多种卫星产品、实地调查、时变生物质负荷数据和实测排放因子,更好地估算了 BB 排放并降低了不确定性。此外,还进行了社会经济分析,以定量评估人为因素对高排放变化的影响。结果表明,2003-2014 年间,OC、EC、CH、NO、NMVOC、SO、NH、CO、CO、PM 和 PM 的累积 BB 排放量分别为 1.6×10、5.64×10、3.57×10、1.7×10、5.44×10、2.96×10、6.77×10、6.5×10、1.15×10、5.26×10和 6.04×10Gg。东北平原(NEP)、华北平原(NCP)、北方干旱半干旱地区和黄土高原的农田秸秆燃烧(田间和户用)是主要排放源,对所有污染物排放的贡献率平均为 73%。而四川盆地(SB)、云贵高原和中国南方的户用秸秆燃烧和薪柴燃烧是主要贡献源,对所有污染物排放的贡献率平均为 70%。在区域层面上,高排放主要集中在 SB、NCP 和 NEP。从时间上看,高排放主要出现在作物播种、收获和取暖季节。2003-2014 年间,不同生物质种类的 BB 排放在不同地区发生了显著变化。高排放源地逐渐从 SB 转移到 NCP 和 NEP。SB 的薪柴燃烧和户用秸秆燃烧排放量分别减少了 47%和 14%,NCP 和 NEP 的田间秸秆燃烧排放量分别增加了 52%和 231%,NEP 的户用秸秆燃烧排放量增加了 62%。取暖季的排放量有所减少,而玉米收获季的排放量持续增加。通过环境库兹涅茨曲线分析、农业生产力水平、人类燃烧习惯、农村能源结构和地方控制政策,揭示了 BB 排放变化的内在人为驱动因素。社会经济发展的不平衡和政策偏差是限制 BB 管理的主要驱动因素。NCP 的 BB 排放量将减少,而 NEP 的 BB 排放量将增加。为了进一步减排,应系统考虑玉米源管理、秸秆还田和农村能源利用等有效措施。本研究为中国关键地区 BB 排放的多年变化模式提供了明确证据,这对污染预测、空气质量建模和有针对性的减排策略至关重要。