Graduate School of Engineering, Osaka University, 2-1 Yamadaoka, Suita, Osaka, 565-0871, Japan.
Nagoya City Institute for Environmental Sciences, 5-16-8 Toyota, Minami-ku, Nagoya, Aichi, 457-0841, Japan.
Environ Pollut. 2019 Jan;244:414-422. doi: 10.1016/j.envpol.2018.09.061. Epub 2018 Oct 8.
Biomass burning (BB), such as, crop field burning during the post-harvest season, emits large amounts of air pollutants (e.g., PM) that severely impact human health. However, it is challenging to evaluate the impact of BB on PM due to uncertainties in the size and location of sources as well as their temporal and spatial variability. This study focused on the impacts of BB on local pollution as well as the long-range transport of PM in Northeast Asia resulting from a huge field BB event in Northeast China during the autumn of 2014. Air quality simulations using the Community Multiscale Air Quality (CMAQ) model were conducted in the year 2014 over the horizontal domains covering Northeast Asia, including the Japanese mainland. In the baseline simulation (Base), field BB emissions were derived from Fire INventory from NCAR (FINN) v1.5 for the year 2014. The model reasonably captured the daily mean PM mass concentrations, however, it underestimated concentrations in autumn around Northeast China where irregular field BB following the harvest occurred frequently. To address the underestimation of emissions from BB sources in China, another simulation with boosted BB sources from cropland area (FINN20_crop) was conducted in addition to the Base simulation. The model performance of FINN20_crop was significantly improved and showed smaller biases and higher indices of agreement between simulated and observed values in comparison to those of Base. To evaluate long-range transport of PM from BB sources in China towards Japan, CMAQ with brute-force method (CMAQ/BFM)-estimated BB contributions for Base and FINN20_crop cases were compared with Positive Matrix Factorization (PMF)-estimated BB contributions at Noto Peninsula in Japan. The CMAQ/BFM-estimated contributions from FINN20_crop were in greater agreement with the PMF-estimated contributions. The comparison of BB contributions estimated by the two contrasting models also indicated large underestimations in the current BB emission estimates.
生物质燃烧(BB),例如收获季节后的农田燃烧,会排放大量空气污染物(例如 PM),严重影响人类健康。然而,由于源的大小和位置以及它们的时空变异性的不确定性,评估 BB 对 PM 的影响具有挑战性。本研究主要关注 2014 年秋季中国东北地区大规模农田 BB 事件对当地污染以及 PM 在东北亚的长距离传输的影响。使用社区多尺度空气质量模型(CMAQ)在 2014 年对包括日本本土在内的整个东北亚水平域进行空气质量模拟。在基线模拟(Base)中,农田 BB 排放源自 2014 年 Fire INventory from NCAR(FINN)v1.5。该模型合理地捕获了每日 PM 质量浓度的平均值,但低估了中国东北地区秋季的浓度,该地区经常在收获后出现不规则的农田 BB。为了解决中国 BB 源排放的低估问题,除了 Base 模拟外,还进行了另一个来自农田面积的增强 BB 源模拟(FINN20_crop)。与 Base 相比,FINN20_crop 的模型性能得到了显著改善,模拟值与观测值之间的偏差更小,一致性指数更高。为了评估来自中国的 BB 源对日本的 PM 长距离传输,对 CMAQ 与蛮力法(CMAQ/BFM)-估计的 Base 和 FINN20_crop 情况下的 BB 贡献与日本能登半岛的正矩阵因子化(PMF)-估计的 BB 贡献进行了比较。FINN20_crop 的 CMAQ/BFM 估计贡献与 PMF 估计贡献更为一致。两种对比模型估计的 BB 贡献的比较也表明,当前的 BB 排放估计存在很大的低估。