Roy Arindam, Chatterjee Abhijit, Ghosh Abhinandan, Das Sanat K, Ghosh Sanjay K, Raha Sibaji
Environmental Sciences Section, Bose Institute, P1/12 CIT Scheme VII-M, Kolkata 700054, India.
Environmental Sciences Section, Bose Institute, P1/12 CIT Scheme VII-M, Kolkata 700054, India; National Facility on Astroparticle Physics and Space Science, Bose Institute, 16 A J C Bose Road, Darjeeling 734101, India.
Sci Total Environ. 2019 Jul 15;674:223-233. doi: 10.1016/j.scitotenv.2019.04.165. Epub 2019 Apr 12.
The major removal pathway of atmospheric aerosols is the below cloud scavenging. The present study is the first-ever in the world, where long-term (2009-2018) as well as real-time observations on the below-cloud scavenging of ultrafine (<0.4 μm), superfine (0.4-1.0 μm) and coarse mode (>1 μm) aerosols have been made. The study was conducted with 919 rain events over a high altitude Himalayan station (27.01 °N, 88.15 °E, 2200 m amsl) in India. The other factors were normalized in order to investigate the "rain only" effect and therefore 919 rain events were screened and finally 165 events were studied. We determined threshold values of the rain rate (and duration) above which aerosols are scavenged in very high proportion (>75%) irrespective of the duration (and rain rate). These threshold values decrease as the aerosol size increases. For example, threshold rain rate decreases from ~17 mm h to ~8 mm h as the aerosol size increases from ultrafine to coarse mode. We also showed that how the rainwater acidity and the deposition flux of major inorganic nutrients (NH + NO + SO) vary with the rain rate and duration. We observed that the rains either >12 mm h or >80 min are all acidic. Maximum nutrients were accumulated in the ultrafine aerosols and hence the spectrum of the deposition flux of the nutrients (with rain rate and duration) was similar to the scavenging spectrum of ultrafine aerosol. Such long-term database enables us to quantitatively predict the aerosol scavenging, acid rains and nutrient deposition which showed excellent agreement with the observed results. Such quantitative prediction would in turn help the researchers to predict the rain-induced changes in air quality as well as any bio-geo chemical parameter. The present study bears paramount importance in Himalayan context as well as any ecologically-rich regions.
大气气溶胶的主要清除途径是云下清除。本研究是世界上首次对超细(<0.4μm)、超细(0.4 - 1.0μm)和粗模态(>1μm)气溶胶的云下清除进行长期(2009 - 2018年)以及实时观测。该研究在印度一个高海拔喜马拉雅站(北纬27.01°,东经88.15°,海拔2200米)进行,涉及919次降雨事件。为了研究“仅降雨”的影响,对其他因素进行了归一化处理,因此筛选了919次降雨事件,最终研究了165次事件。我们确定了降雨率(和持续时间)的阈值,高于该阈值时,无论持续时间(和降雨率)如何,气溶胶都能以非常高的比例(>75%)被清除。这些阈值随着气溶胶粒径的增加而降低。例如,随着气溶胶粒径从超细模式增加到粗模态,降雨率阈值从约17毫米/小时降至约8毫米/小时。我们还展示了雨水酸度以及主要无机养分(NH₄⁺ + NO₃⁻ + SO₄²⁻)的沉积通量如何随降雨率和持续时间变化。我们观察到,降雨率>12毫米/小时或持续时间>80分钟的降雨都是酸性的。最大量的养分积累在超细气溶胶中,因此养分沉积通量(随降雨率和持续时间)的谱与超细气溶胶的清除谱相似。这样的长期数据库使我们能够定量预测气溶胶清除、酸雨和养分沉积,其与观测结果显示出极好的一致性。这种定量预测反过来将帮助研究人员预测降雨引起空气质量的变化以及任何生物地球化学参数。本研究在喜马拉雅地区以及任何生态丰富的地区都具有至关重要的意义。