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秸秆焚烧对区域城市空气质量影响的模拟分析

钟方潜 苏琪骅 周任君 易明建 吴其重 颜妍

钟方潜, 苏琪骅, 周任君, 易明建, 吴其重, 颜妍. 秸秆焚烧对区域城市空气质量影响的模拟分析[J]. 气候与环境研究, 2017, 22(2): 149-161. doi: 10.3878/j.issn.1006-9585.2016.16024
引用本文: 钟方潜, 苏琪骅, 周任君, 易明建, 吴其重, 颜妍. 秸秆焚烧对区域城市空气质量影响的模拟分析[J]. 气候与环境研究, 2017, 22(2): 149-161. doi: 10.3878/j.issn.1006-9585.2016.16024
Fangqian ZHONG, Qihua SU, Renjun ZHOU, Mingjian YI, Qizhong WU, Yan YAN. Impact of Crop Straw Burning on Urban Air Quality Based on WRF-Chem Simulations[J]. Climatic and Environmental Research, 2017, 22(2): 149-161. doi: 10.3878/j.issn.1006-9585.2016.16024
Citation: Fangqian ZHONG, Qihua SU, Renjun ZHOU, Mingjian YI, Qizhong WU, Yan YAN. Impact of Crop Straw Burning on Urban Air Quality Based on WRF-Chem Simulations[J]. Climatic and Environmental Research, 2017, 22(2): 149-161. doi: 10.3878/j.issn.1006-9585.2016.16024

秸秆焚烧对区域城市空气质量影响的模拟分析

doi: 10.3878/j.issn.1006-9585.2016.16024
基金项目: 

国家自然科学基金项目 41305121

国家科技支撑计划项目 2014BAC22B06

安徽省省级环境保护科研项目 2014-007

安徽省省级环境保护科研项目 2013-001

安徽省省级环境保护科研项目 2014-002

详细信息
    作者简介:

    钟方潜, 男, 1990年出生, 硕士研究生, 主要从事大气物理学和大气环境研究。E-mail:zhongfq09@outlook.com

    通讯作者:

    周任君, E-mail:zrj@ustc.edu.cn

  • 中图分类号: P402

Impact of Crop Straw Burning on Urban Air Quality Based on WRF-Chem Simulations

Funds: 

National Natural Science Foundation of China 41305121

National Key Technology Research and Development Program of the Ministry of Science and Technology of China 2014BAC22B06

Environment Protection of Anhui Province 2014-007

Environment Protection of Anhui Province 2013-001

Environment Protection of Anhui Province 2014-002

  • 摘要: 利用融合火点排放源、人为源和生物源的WRF-Chem(Weather Research and Forecasting Model coupled with Chemistry)模式,模拟2015年9月30日08:00(北京时间)起的72 h发生在淮河流域的一次农作物秸秆大面积露天焚烧过程,研究了农作物秸秆焚烧释放的气态污染物和颗粒物对区域城市空气质量的影响。通过有无火点两组试验分析了此次秸秆焚烧对流域内河南、山东、江苏和安徽四省83座城市CO、PM10(空气动力学当量直径小于等于10 μm的颗粒物,即可吸入颗粒物)、PM2.5(空气动力学当量直径小于等于2.5 μm的颗粒物,即细颗粒物)和O3浓度的定量影响,结果表明:(1)融合NCAR-FINN(Fire Inventory from NCAR)火点排放资料的WRF-Chem模式较好地再现了此次秸秆焚烧及火点烟羽扩散过程。同时结合EDGAR-HTAP(Emission Database for Global Atmospheric Research on Hemispheric Transport of Air Pollution)人为源和MEGAN(Model of Emission of Gases and Aerosols from Nature)生物源的WRF-FIRE(考虑火点排放试验)对流域内城市大气污染物的模拟效果较为理想,尤其对秸秆焚烧释放的污染物CO、PM10和PM2.5和产生的二次污染物O3浓度的模拟。(2)秸秆焚烧所释放的污染物造成流域内城市一次污染物CO、PM10和PM2.5浓度的增加,火点中心和下风向城市增幅最为明显,最大小时浓度增幅达到3倍标准差。气态污染物CO和相比PM10粒径更小的PM2.5可随风扩散至更远的地区,对城市浓度影响更大。(3)此外,秸秆焚烧也使得火点中心城市和下风向城市二次污染物O3浓度增加,但小时浓度增幅极值区分布在火点下风向烟羽末端太阳光照充足的地区,最大小时浓度增幅接近3倍标准差。秸秆焚烧对区域城市空气质量的影响存在明显的空间分布差异且对城市各大气污染成分的影响也不相同。
  • 图  1  中国地区火点峰值月份及焚烧程度分布图(颜色代表月份,饱和度表征焚烧程度)

    Figure  1.  Peak fire months based on MODIS (MODerate resolution Imaging Spectroradiometer) averaged over 2002-2015 and fire activities

    图  2  2001~2010年MODIS 500 m土地利用气候分布(Broxton et al., 2014)、淮河流域(蓝色实线区域)、WRF模式区域(蓝色点线区域)和2015年10月1日MODIS火点信息(红色十字)

    Figure  2.  MODIS-based land cover climatology at 0.5-km resolution for the 10-year period (2001-2010) (Broxton et al., 2014), Huaihe River basin is denoted by the blue solid line, WRF domain is indicated by the blue dotted line, and MODIS active fire map (red crosses) on 1 October 2015

    图  3  2015年10月1日(a)12:45的Terra卫星和(b)14:30的Auqa卫星MODIS可见光拼图和火点信息(红色圆点);当日(c)13:00和(d)15:00近地面CO浓度(填色),用以表征火点烟羽]和地面10 m风场的WRF-Chem模拟结果

    Figure  3.  Comparison of fire smoke between MODIS (a) on NASA's Terra satellite at 1245 LST 1 October 2015 and (b) on NASA's Aqua at 1430 LST 1 October 2015, and MODIS active fire map (ned dots); FINN fire emissions at (c) 1300 LST and (d) 1500 LST on the same day represented by CO content (colored) from WRF-Chem simulation with wind map at 10-m height

    图  4  地面(a)O3和CO、(b)PM10和PM2.5、(c)SO2和NO2小时实测与WRF-FIRE模拟序列的Taylor图

    Figure  4.  Taylor diagrams for observations of (a) O3 and CO, (b) PM2.5 and PM10, and (c) SO2 and NO2 from Ministry of Environmental Protection of the People's Republic of China and WRF-FIRE simulations from 0000 LST 1 October 2015 to 0800 LST 3 October 2015 at 83 cities in Huaihe River basin

    图  5  秸秆焚烧对城市空气质量(a)CO、(b)PM10、(c)PM2.5、(d)O3、(e)NO2和(f)SO2的最大小时浓度影响(蓝色表示负影响,红色代表正影响)

    Figure  5.  Normalized maximum hourly biases of (a) CO, (b) PM10, (c) PM2.5, (d) O3, (e) NO2, and (f) SO2 between the WRF-FIRE and WRF-NOFIRE simulations from 0000 LST 1 October 2015 to 0800 LST 3 October 2015 at 83 cities in Huaihe River basin, blue means it's decreased, red means it's increased

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出版历程
  • 收稿日期:  2016-01-25
  • 网络出版日期:  2016-04-17
  • 刊出日期:  2017-03-20

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