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Emission inventories of rice straw open burning in the Red River Delta of Vietnam: Evaluation of the potential of satellite data

机译:越南红河三角洲稻草开放燃烧的排放清单:卫星数据潜力的评价

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摘要

Although rice straw open burning is one of the main sources of air pollution in Asian countries, problems remain in collecting the activity data needed to calculate emission inventories. In Vietnam, the results from traditional data collection methods, which are reported by the Vietnam General Statistics Office high levels of uncertainty. This is largely due to a lack of human and financial resources. To improve upon this, this study critically assessed the benefits of incorporating cultivation area data obtained by the Sentinel-1 Synthetic Aperture Radar (SAR) satellite in combination with crop production records during the period of 2015-2017. The results suggested that incorporating remote sensing data, especially satellite data, into a process-based crop model can improve the spatial distribution of yield estimates. Satellite data for 2018 were also applied to estimate emissions from rice straw open burning in the Red River Delta, Vietnam, for which official statistics are not otherwise yet available. The results show that a total of 3.24 Mt of burnt rice straw produced 3.82 Mt of CO2, 301 Gg of CO, 29.5 Gg of PM10, and 27 Gg of PM2.5. The estimated emission amounts for the common air pollutants SO2, NOx, and NH3 were 583 tonnes, 7.4 Gg, and 13.3 Gg, respectively. Hydrocarbon emissions were 31 Gg for CH4 and 22.7 Gg for NMVOC. The emission of BC, which is one of the main short-lived climate forcers, totalled 1.6 Gg. Based on these results, satellite data demonstrate great potential for estimating emissions from rice croplands, having the advantages of timely availability and cost competitiveness. (C) 2020 Elsevier Ltd. All rights reserved.
机译:虽然稻草开放燃烧是亚洲国家的空气污染的主要来源之一,但问题仍在收集计算排放库存所需的活动数据。在越南,传统数据收集方法的结果,越南一般统计局报告了高水平的不确定性。这主要是由于缺乏人力和财力资源。为了改善这一点,本研究重视在2015 - 2017年期间将由哨蛋白-1合成孔径雷达(SAR)卫星在2015 - 2017年期间结合作物生产记录结合作物生产记录纳入培养区域数据的益处。结果表明,将遥感数据,尤其是卫星数据掺入基于过程的作物模型可以提高产量估计的空间分布。 2018年的卫星数据也适用于越南红河三角洲的稻草开放燃烧的排放,否则尚未提供官方统计数据。结果表明,总共3.24吨的烧水稻秸秆产生了3.82吨的CO2,301gg的CO,29.5gg12.5和27 gg的PM2.5。普通空气污染物SO2,NOx和NH3的估计排放量分别为583吨,7.4gg和13.3gg。对于NMVOC,CH4和22.7Gg的烃排放量为31gg。 BC的排放是主要的短期气候助学师之一,总计为1.6 Gg。基于这些结果,卫星数据展示了估算水稻农作物排放的巨大潜力,具有及时可用性和成本竞争力的优势。 (c)2020 elestvier有限公司保留所有权利。

著录项

  • 来源
    《Environmental Pollution》 |2020年第5期|113972.1-113972.12|共12页
  • 作者单位

    VNU VNU Univ Sci Fac Environm Sci 334 Nguyen Trai Hanoi Vietnam;

    MARD Ctr Informat & Stat 2 Ngoc Ha Hanoi Vietnam;

    VNU VNU Univ Sci Fac Environm Sci 334 Nguyen Trai Hanoi Vietnam;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Biomass burning; Emission inventory; SAR; ORYZA; Vietnam;

    机译:生物质燃烧;排放库存;SAR;奥雅族;越南;

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