Pub Date : 2025-11-24DOI: 10.1007/s44273-025-00071-2
Koichi Watanabe, Nanami Maki, Michiyo Chatani, Chisato Maki, Ayami Nakanishi, Yuki Wasada, Taisei Akahori, Ryoga Ono, Yuta Yamazaki, Chiharu Mori
Atmospheric concentrations of peroxides (hydrogen peroxide (H2O2) and methyl hydroperoxide (MHP)), formaldehyde (HCHO), ozone (O3), and sulfur dioxide (SO2) were measured using a helicopter over Imizu City, Toyama Prefecture, central Japan in early summer (May and June) from 2022 to 2024. The impact of transboundary air pollution was relatively small during the observation days. H2O2 concentrations were higher in the high-altitude atmosphere than on the ground and were sufficiently high relative to SO2, similar to the H2O2 concentrations previously measured in mid-summer (August), suggesting that the potential for sulfur dioxide oxidation is high over central Japan during warm seasons. HCHO concentrations in the high-altitude atmosphere were high due to the influence of air pollution from domestic urban areas. The measurement results in this study were compared with the results of a series of helicopter observations previously conducted over Toyama Prefecture, and the characteristics of the oxidizing capacity in the atmosphere over central Japan are discussed.
{"title":"Peroxide concentrations measured over a rural site in the Hokuriku district, coastal region of the Sea of Japan, central Japan, during early summer using a helicopter","authors":"Koichi Watanabe, Nanami Maki, Michiyo Chatani, Chisato Maki, Ayami Nakanishi, Yuki Wasada, Taisei Akahori, Ryoga Ono, Yuta Yamazaki, Chiharu Mori","doi":"10.1007/s44273-025-00071-2","DOIUrl":"10.1007/s44273-025-00071-2","url":null,"abstract":"<div><p>Atmospheric concentrations of peroxides (hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>) and methyl hydroperoxide (MHP)), formaldehyde (HCHO), ozone (O<sub>3</sub>), and sulfur dioxide (SO<sub>2</sub>) were measured using a helicopter over Imizu City, Toyama Prefecture, central Japan in early summer (May and June) from 2022 to 2024. The impact of transboundary air pollution was relatively small during the observation days. H<sub>2</sub>O<sub>2</sub> concentrations were higher in the high-altitude atmosphere than on the ground and were sufficiently high relative to SO<sub>2</sub>, similar to the H<sub>2</sub>O<sub>2</sub> concentrations previously measured in mid-summer (August), suggesting that the potential for sulfur dioxide oxidation is high over central Japan during warm seasons. HCHO concentrations in the high-altitude atmosphere were high due to the influence of air pollution from domestic urban areas. The measurement results in this study were compared with the results of a series of helicopter observations previously conducted over Toyama Prefecture, and the characteristics of the oxidizing capacity in the atmosphere over central Japan are discussed.</p><h3>Graphical Abstract</h3><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":45358,"journal":{"name":"Asian Journal of Atmospheric Environment","volume":"19 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2025-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s44273-025-00071-2.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145612438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the rapid development of industry and urbanization, air pollution has become a global environmental issue, with PM2.5 attracting widespread attention due to its severe impact on human health and the environment. Therefore, accurate prediction of PM2.5 concentration is crucial for environmental protection and public health. However, the nonlinear and multivariate characteristics of PM2.5 data pose challenges to prediction accuracy. To address this issue, we propose an innovative hybrid multivariate prediction model called WTCrossformer, which integrates wavelet transform convolution (WTC) to better extract local features and reduce the impact of noise on predictions. Additionally, the model employs dimension segment-wise embedding (DSW) and two-stage attention (TSA) mechanisms to capture temporal and cross-variable correlations in multivariate PM2.5 data, leveraging a hierarchical encoder-decoder structure to generate prediction results. This paper selects a multivariate time-series dataset from the UCI Machine Learning Repository. There are a total of 13 variables in this dataset, which details the air pollutant situations and meteorological conditions at 12 monitoring stations in the Beijing area over a 5-year period. Comparative experiments carried out on multiple PM2.5 datasets indicate that the model achieves relatively high prediction accuracy. It can accurately predict the trends of PM2.5 concentration, offering effective guidance for people’s daily life and health. Ablation experiments further confirm that the introduction of the WTC module significantly enhances the prediction accuracy. Our research provides strong technical support for environmental monitoring and pollution prediction.