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WRF-Chem 模式对印度东南部热浪驱动臭氧的模拟研究。

WRF-Chem modeling study of heat wave driven ozone over southeast region, India.

机构信息

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.

出版信息

Environ Pollut. 2024 Jan 1;340(Pt 2):122744. doi: 10.1016/j.envpol.2023.122744. Epub 2023 Oct 19.

Abstract

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.

摘要

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。

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