Institute of Environment and Sustainable Development, Banaras Hindu University, Varanasi, Uttar Pradesh, India.
Department of Remote Sensing, Birla Institute of Technology Mesra, Ranchi, Jharkhand, India.
Environ Pollut. 2024 Jan 1;340(Pt 2):122744. doi: 10.1016/j.envpol.2023.122744. Epub 2023 Oct 19.
Present study examines how ozone concentration changed under heatwave (HW) condition with emphasis on meteorological parameters in respect to non-heatwave (NHW) days. In this perspective, Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) has been used to simulate the surface O (SfO) and maximum temperature (T) during NHW (11-19 May 2015) and HW days (21-29 May 2015) over southeast (SE), India. The WRF-Chem simulated meteorological and chemical variables have been evaluated against the ERA5 and CAMS reanalysis dataset. A significant correlation of 55-95% is found for all the meteorological and chemical variables. The influencing parameters shows positive correlation of ozone with temperature, which reaches 75-78 ppbv under HW condition. Day to day trend analysis reveal an increasing pattern of maximum temperature and SfO concentration under HW condition. During HW, mixing of ozone-rich air aloft with near-surface air leading a rise in SfO, as indicated by both ERA5 (with a maximum Planetary Boundary Layer Height (PBLH) of 1000 m) and WRF-Chem simulations (1600 m). Furthermore, the diurnal cycle of SfO, temperature, PBLH reaches a peak at afternoon, while the other variables like nitrogen oxides (NO), Relative Humidity (RH) shows a high concentration at night-time. Overall, WRF-Chem model effectively captures the diurnal fluctuations of SfO, NO and the meteorological variables during the HW event over the SE, India. Result shows that HW may cause a strong contribution to the rate of increase in SfO (22.17%). Thus, it is required to consider contribution of HW driven ozone when developing long-term strategies to mitigate regional ozone pollution.
本研究考察了在热浪(HW)条件下臭氧浓度的变化情况,并重点关注了非热浪(NHW)日的气象参数。为此,使用天气研究与预测模型耦合化学模型(WRF-Chem)模拟了印度东南部(SE)NHW 日(2015 年 5 月 11-19 日)和 HW 日(2015 年 5 月 21-29 日)的地面臭氧(SfO)和最高温度(T)。WRF-Chem 模拟的气象和化学变量与 ERA5 和 CAMS 再分析数据集进行了评估。所有气象和化学变量的相关性在 55-95%之间。影响参数显示臭氧与温度呈正相关,在 HW 条件下臭氧达到 75-78 ppbv。逐日趋势分析显示,在 HW 条件下,最高温度和 SfO 浓度呈上升趋势。在 HW 期间,臭氧丰富的空气与近地面空气混合,导致 SfO 上升,这一点在 ERA5(最大行星边界层高度(PBLH)为 1000 m)和 WRF-Chem 模拟中都得到了证实(1600 m)。此外,SfO、温度和 PBLH 的日循环在下午达到峰值,而其他变量如氮氧化物(NO)和相对湿度(RH)则在夜间显示出高浓度。总的来说,WRF-Chem 模型有效地捕捉了印度东南部 SE 地区 HW 事件期间 SfO、NO 和气象变量的日变化。结果表明,HW 可能导致 SfO 增长率增加(22.17%)。因此,在制定缓解区域臭氧污染的长期战略时,需要考虑 HW 驱动臭氧的贡献。