首页> 外文期刊>Geoscience frontiers >Variation and dispersal of PM 10 and PM 2.5 during COVID-19 lockdown over Kolkata metropolitan city, India investigated through HYSPLIT model
【24h】

Variation and dispersal of PM 10 and PM 2.5 during COVID-19 lockdown over Kolkata metropolitan city, India investigated through HYSPLIT model

机译:PM 10 和PM 2.5 在科尔卡塔大都市城市Covid-19锁定期间> 2.5 ,印度通过Hysplit模型调查

获取原文
           

摘要

The higher concentration of PM10and PM2.5in the lower atmosphere is severely harmful for human health and it also makes visibility diminution along with weather and climate modifications. The main objective is to find out the spatiotemporal variation and dispersal of PM10and PM2.5along with COVID-19 infection in the dusty city Kolkata. The consecutive two years PM10and PM2.5data of different stations have been obtained from State Pollution Control Board, Govt. of West Bengal. Forward trajectory analysis has been done through HYSPLIT (Hybrid Single Particle Lagrangian Integrated Trajectory) model to find the path and direction of air particles. The result showed that the various meteorological or environmental factors (such as temperature, relative humidity, wind, wind speed, pressure and gusty wind) and geographical location regulate the spatiotemporal variation of PM10and PM2.5. These factors like high temperature with relative humidity and strong wind influence to disperse the particulate matters from north to south direction from city to outside during summer in Kolkata metropolitan city. During summer (both pre and lockdown years), the height of particles is extended up to 1000?m owing to active atmospheric ventilation whereas in winter it is confined within 100?m. The HYSPLIT model clearly specified that the particles dispersed from south, south-west to north and north east direction due to strong wind. The constant magnification of PM10and PM2.5in the lower atmosphere leads to greater frequency of COVID-19 infections and deaths. In Kolkata, the one of the crucial reasons of high infection and deaths (COVID-19) is co-morbidity of people.
机译:较高浓度的PM10和PM2.5在较低的气氛中对人类健康严重有害,并且还具有可视性减少以及天气和气候修改。主要目的是在尘土飞扬的城市加尔各答中找出PM10和PM2.5Along的时空变化和分散。连续两年PM10和PM2.5DATA从国家污染管制委员会,GOVT获得。西孟加拉邦。通过HySplit(混合单粒子拉格朗日集成轨迹)模型来完成前向轨迹分析,以找到空气颗粒的路径和方向。结果表明,各种气象或环境因素(如温度,相对湿度,风,风速,压力和蠕动的风)和地理位置调节PM10和PM2.5的时空变化。这些因素,如高温,具有相对湿度和强风影响,将夏季到南方到南部的颗粒物质分散到夏季,在加尔各答大都会城市夏季。在夏季(锁定年份)期间,由于有效的大气通风,粒子的高度延伸到1000?M,而在冬季,它被限制在100?M之内。 Hysplit模型明确规定,由于风力强大,将南部与北部和东北方向分散的粒子。低层大气层PM10和PM2.5的恒定放大率导致Covid-19感染和死亡的更大频率。在加尔各答,高感染和死亡(Covid-19)的一个关键原因是人们的共同发病率。

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