首页> 外文期刊>Environmental Pollution >Improved rice residue burning emissions estimates: Accounting for practice-specific emission factors in air pollution assessments of Vietnam
【24h】

Improved rice residue burning emissions estimates: Accounting for practice-specific emission factors in air pollution assessments of Vietnam

机译:改善大米残渣燃烧排放估算:在越南的空气污染评估中考虑特定于实践的排放因子

获取原文
获取原文并翻译 | 示例
       

摘要

In Southeast Asia and Vietnam, rice residues are routinely burned after the harvest to prepare fields for the next season. Specific to Vietnam, the two prevalent burning practices include: a). piling the residues after hand harvesting; b). burning the residues without piling, after machine harvesting. In this study, we synthesized field and laboratory studies from the literature on rice residue burning emission factors for PM2.5. We found significant differences in the resulting burning-practice specific emission factors, with 16.9 g kg(-2) (+/- 6.9) for pile burning and 8.8 g kg(-2) (+/- 3.5) for non-pile burning. We calculated burning-practice specific emissions based on rice area data, region-specific fuel-loading factors, combined emission factors, and estimates of burning from the literature. Our results for year 2015 estimate 180 Gg of PM2.5 result from the pile burning method and 130 Gg result from non-pile burning method, with the most-likely current emission scenario of 150 Gg PM2.5 emissions for Vietnam. For comparison purposes, we calculated emissions using generalized agricultural emission factors employed in global biomass burning studies. These results estimate 80 Gg PM2.5, which is only 44% of the pile burning-based estimates, suggesting underestimation in previous studies. We compare our emissions to an existing all-combustion sources inventory, results show emissions account for 14-18% of Vietnam's total PM2.5 depending on burning practice. Within the highly-urbanized and cloud-covered Hanoi Capital region (HCR), we use rice area from Sentinel-IA to derive spatially-explicit emissions and indirectly estimate residue burning dates. Results from HYSPLIT back-trajectory analysis stratified by season show autumn has most emission trajectories originating in the North, while spring has most originating in the South, suggesting the latter may have bigger impact on air quality. From these results, we highlight locations where emission mitigation efforts could be focused and suggest measures for pollutant mitigation. Our study demonstrates the need to account for emissions variation due to different burning practices. (C) 2018 Elsevier Ltd. All rights reserved.
机译:在东南亚和越南,收割后通常会焚烧稻米残留物,为下一个季节做好准备。特定于越南的两种普遍燃烧做法包括:a)。手工收割后堆放残留物; b)。机器收割后燃烧残渣而不堆积。在这项研究中,我们从文献中综合了关于PM2.5的稻渣燃烧排放因子的田间研究和实验室研究。我们发现在产生的燃烧实践特定排放因子上存在显着差异,堆燃烧为16.9 g kg(-2)(+/- 6.9),非堆燃烧为8.8 g kg(-2)(+/- 3.5) 。我们根据稻米面积数据,特定地区的燃料装载因子,综合排放因子以及文献中的燃烧估算值,计算了燃烧实践的特定排放量。我们的2015年结果估计,堆放燃烧法产生180克PM2.5,非堆放燃烧法产生130克,越南目前最可能的排放情景是150克PM2.5排放。为了进行比较,我们使用了全球生物质燃烧研究中采用的广义农业排放因子来计算排放量。这些结果估计为80 Gg PM2.5,仅占基于堆烧的估计的44%,这表明以前的研究估计不足。我们将排放量与现有的所有燃烧源清单进行了比较,结果显示排放量占越南PM2.5总量的14-18%(具体取决于燃烧方式)。在高度城市化和云雾笼罩的河内首都地区(HCR)中,我们使用Sentinel-IA的水稻面积来得出空间明晰的排放量,并间接估算残渣的燃烧日期。 HYSPLIT回溯分析按季节分层的结果表明,秋季的排放轨迹主要来自北部,而春季的排放源主要来自南部,这表明后者对空气质量的影响更大。从这些结果中,我们重点介绍了可以减轻排放努力的重点,并提出了减少污染物的措施。我们的研究表明,有必要考虑由于不同燃烧方式而产生的排放变化。 (C)2018 Elsevier Ltd.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号