The Long-Term Trends and Interannual Variability in Surface Ozone Levels in Beijing from 1995 to 2020

Hong, Jin; Wang, Wuke; Bai, Zhihui; Bian, Jianchun; Tao, Mengchu; Konopka, Paul; Ploeger, Felix; Müller, Rolf; Wang, Hongyue; Zhao, Shuyun; Zhu, Jintao

doi:10.3390/rs14225726

Cited by 5 publications

(3 citation statements)

References 55 publications

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“…As for O 3 , a slightly increased trend of autumnal O 3 in Beijing (0.57 ppbv year −1 ) has been reported (Hong et al., 2022). However, in typhoon‐induced episodes, we find a relatively large increase in O 3 concentration from the first 4 years (58 ppbv) to the second 4 years (65 ppbv) (Figure S12 in Supporting Information ).…”

Section: Changes During 2014–2021 and The Implicationsmentioning

confidence: 78%

Impacts of Northward Typhoons on Autumn Haze Pollution Over North China Plain

Lin,

Ding,

Huang

et al. 2024

JGR Atmospheres

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Although air quality in China has improved substantially over recent years, haze pollution events still occur frequently, especially over the North China Plain (NCP). Previous studies showed that typhoons are conducive to regional pollution events in eastern China; however, the underlying mechanism and quantitative understanding of the typhoons' impact on haze pollution remain unclear there. Here, based on ground‐based and satellite observations, reanalysis data, and model simulations, we show that northward typhoons approaching China are essential for autumn haze pollution over NCP. Elevated relative humidity levels and enhanced pollution accumulation, caused by northward typhoons and the corresponding high‐pressure systems, are responsible for the pollution enhancements over NCP. Compared with episodes without typhoon influence, cities near Taihang and Yan Mountain suffer from heavier haze pollution when typhoons approach, with PM2.5 concentrations increasing from 87.1 to 106.4 μg m−3. More water vapor from the Yellow and Bohai Seas and pollutants from eastern China are transported to these cities by typhoon‐induced southeasterly wind anomalies, facilitating the chemical formation of aerosols there. In addition, by the block of mountains, these southeasterly wind anomalies also lead to stronger local accumulation over cities and an elevation of pollutants along the mountains. What is more, with the implementation of emission reduction, the relative changes of PM2.5 concentrations between typhoon‐induced episodes and no‐typhoon episodes increase. This work highlights the importance of understanding the impact of synoptical weather on PM2.5 transport, accumulation, and formation processes in haze pollution mitigation in eastern China.

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Section: Changes During 2014–2021 and The Implicationsmentioning

confidence: 78%

Impacts of Northward Typhoons on Autumn Haze Pollution Over North China Plain

Lin,

Ding,

Huang

et al. 2024

JGR Atmospheres

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“…Since this time, improved observational techniques, especially the launch of satellites, have allowed researchers to more accurately study ozone at all altitudes across the globe [11][12][13][14][15][16][17][18][19]. The researchers found a low ozone value region similar to the Antarctic ozone hole in the upper troposphere-lower troposphere (UTLS) region in the middle and high latitudes of the Northern Hemisphere, known as the "Ozone Valley".…”

Section: Introductionmentioning

confidence: 99%

The Impact of Different Types of El Niño Events on the Ozone Valley of the Tibetan Plateau Based on the WACCM4 Mode

Wan,

Xu,

Chang

et al. 2024

Applied Sciences

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This study integrates the sea surface temperature, ozone and meteorological data of ERA5 to count the El Niño events since 1979 and has classified these events into eastern and central types in space as well as spring and summer types in time. The impacts of different types of El Niño events on the ozone valley of the Tibetan Plateau are discussed. The eastern (and spring) type of El Niño events are generally more intense and longer in duration than the central (and summer) type of El Niño events. Overall, in the summer of the following year after El Niño events, the total column ozone (TCO) anomalies near the Tibetan Plateau have a regular zonal distribution. At low latitudes, TCO exhibits negative anomalies, which become more negative approaching the equator. The TCO in the region north of 30° N mainly shows positive anomalies with the high-value region around 40° N. The responses of ozone to different types of El Niño events over the Tibetan Plateau are different, which is further validated by the WACCM4 simulation results. The greater intensity of the eastern (and spring) type of El Niño events caused stronger upward movement of the middle and upper atmosphere in the 20° N region in the subsequent summer as well as a stronger South Asian High. These have resulted in a wider range of negative TCO anomalies in the southern low-latitude region of the South Asian High. In addition, the growing intensity of El Niño extreme events over more than half a century warrants significant concern.

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“…In addition, other combined decomposition methods or structures have been proposed in series and time convolution and long-term short-memory bidirectional networks [10]. Other models use a non-parametric Theil-Sen estimator as a robust Kendall [11] line-fit method or locally estimated scatterplot models for smoothing to filter the data obtained and subsequently decompose the time series models into trend, seasonal, and residual components of data and then recombine them appropriately [12]. After the decomposition of the time series into components or subseries, the data can be used in standardized time series modeling as linear, nonlinear autoregressive, or autoregressive moving averages.…”

Section: Introductionmentioning

confidence: 99%

Short-Term Forecasting of Ozone Concentration in Metropolitan Lima Using Hybrid Combinations of Time Series Models

Carbo-Bustinza,

Iftikhar,

Belmonte

et al. 2023

Applied Sciences

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In the modern era, air pollution is one of the most harmful environmental issues on the local, regional, and global stages. Its negative impacts go far beyond ecosystems and the economy, harming human health and environmental sustainability. Given these facts, efficient and accurate modeling and forecasting for the concentration of ozone are vital. Thus, this study explores an in-depth analysis of forecasting the concentration of ozone by comparing many hybrid combinations of time series models. To this end, in the first phase, the hourly ozone time series is decomposed into three new sub-series, including the long-term trend, the seasonal trend, and the stochastic series, by applying the seasonal trend decomposition method. In the second phase, we forecast every sub-series with three popular time series models and all their combinations In the final phase, the results of each sub-series forecast are combined to achieve the results of the final forecast. The proposed hybrid time series forecasting models were applied to four Metropolitan Lima monitoring stations—ATE, Campo de Marte, San Borja, and Santa Anita—for the years 2017, 2018, and 2019 in the winter season. Thus, the combinations of the considered time series models generated 27 combinations for each sampling station. They demonstrated significant forecasts of the sample based on highly accurate and efficient descriptive, statistical, and graphic analysis tests, as a lower mean error occurred in the optimized forecast models compared to baseline models. The most effective hybrid models for the ATE, Campo de Marte, San Borja, and Santa Anita stations were identified based on their superior out-of-sample forecast results, as measured by RMSE (4.611, 3.637, 1.495, and 1.969), RMSPE (4.464, 11.846, 1.864, and 15.924), MAE (1.711, 2.356, 1.078, and 1.462), and MAPE (14.862, 20.441, 7.668, and 76.261) errors. These models significantly outperformed other models due to their lower error values. In addition, the best models are statistically significant (p < 0.05) and superior to the rest of the combination models. Furthermore, the final proposed models show significant performance with the least mean error, which is comparatively better than the considered baseline models. Finally, the authors also recommend using the proposed hybrid time series combination forecasting models to predict ozone concentrations in other districts of Lima and other parts of Peru.

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The Long-Term Trends and Interannual Variability in Surface Ozone Levels in Beijing from 1995 to 2020

Cited by 5 publications

References 55 publications

Impacts of Northward Typhoons on Autumn Haze Pollution Over North China Plain

Impacts of Northward Typhoons on Autumn Haze Pollution Over North China Plain

The Impact of Different Types of El Niño Events on the Ozone Valley of the Tibetan Plateau Based on the WACCM4 Mode

Short-Term Forecasting of Ozone Concentration in Metropolitan Lima Using Hybrid Combinations of Time Series Models

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