Joint increase of aerosol scattering efficiency and aerosol hygroscopicity aggravate visibility impairment in the North China Plain

Xue, Biao; Kuang, Ye; Xu, Wanyun; Zhao, Pusheng

doi:10.1016/j.scitotenv.2022.156279

Cited by 7 publications

(2 citation statements)

References 34 publications

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“…Aerosol hygroscopicity was measured using a self-assembled humidified nephelometer system, that can derive aerosol liquid water content as well as ambient aerosol surface area density, details on which can be found in Kuang, et al [52,53]. Since NO − 3 mass concentrations were not monitored during the spring campaign, it was assumed that NO − 3 made up a fraction of 12% of total PM 2.5 based on reported springtime observations [54], wherein PM 2.5 mass concentrations were predicted using humidified nephelometer measurements using machine learning methods described in Xue, et al [55]. Conventional meteorological data such as atmospheric pressure (hPa), air temperature ( • C), soil temperature (10 cm depth, • C), relative humidity (RH), wind direction and wind speed were obtained from an automatic weather station within the site yard.…”

Section: Measurements and Datamentioning

confidence: 99%

The Impact of Agroecosystems on Nitrous Acid (HONO) Emissions during Spring and Autumn in the North China Plain

Zeng,

Xu,

Kuang

et al. 2024

Toxics

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Solar radiation triggers atmospheric nitrous acid (HONO) photolysis, producing OH radicals, thereby accelerating photochemical reactions, leading to severe secondary pollution formation. Missing daytime sources were detected in the extensive HONO budget studies carried out in the past. In the rural North China Plain, some studies attributed those to soil emissions and more recent studies to dew evaporation. To investigate the contributions of these two processes to HONO temporal variations and unknown production rates in rural areas, HONO and related field observations obtained at the Gucheng Agricultural and Ecological Meteorological Station during spring and autumn were thoroughly analyzed. Morning peaks in HONO frequently occurred simultaneously with those of ammonia (NH3) and water vapor both during spring and autumn, which were mostly caused by dew and guttation water evaporation. In spring, the unknown HONO production rate revealed pronounced afternoon peaks exceeding those in the morning. In autumn, however, the afternoon peak was barely detectable compared to the morning peak. The unknown afternoon HONO production rates were attributed to soil emissions due to their good relationship to soil temperatures, while NH3 soil emissions were not as distinctive as dew emissions. Overall, the relative daytime contribution of dew emissions was higher during autumn, while soil emissions dominated during spring. Nevertheless, dew emission remained the most dominant contributor to morning time HONO emissions in both seasons, thus being responsible for the initiation of daytime OH radical formation and activation of photochemical reactions, while soil emissions further maintained HONO and associated OH radial formation rates at a high level, especially during spring. Future studies need to thoroughly investigate the influencing factors of dew and soil emissions and establish their relationship to HONO emission rates, form reasonable parameterizations for regional and global models, and improve current underestimations in modeled atmospheric oxidation capacity.

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Section: Measurements and Datamentioning

confidence: 99%

The Impact of Agroecosystems on Nitrous Acid (HONO) Emissions during Spring and Autumn in the North China Plain

Zeng,

Xu,

Kuang

et al. 2024

Toxics

Self Cite

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“…Based on the annual average visibility series of the adjusted data, the relationship be-tween visibility and wind speed from near the ground to the troposphere was analyzed, and the results showed that the "maximum" ("minimum") visibility corresponds to the "maximum" ("minimum") wind speed near the ground and in the lower troposphere. Xue et al [5] used a long-term continuous humidification turbidimeter system to measure multi-wavelength aerosol scattering coefficients under dry conditions and controlled relative humidity in spring and summer in the North China Plain, revealing a nonlinear relationship between visibility and PM2.5 mass and encouraging further research by future generations. Ting et al [6] proposed one-year continuous measurement data from an integrated online instrument to study the seasonal effects of aerosol chemistry in PM2.5 on visibility, addressing the shortcoming that long-term and in situ measurements of atmospheric particle chemistry were not available in most previous studies.…”

Section: Introductionmentioning

confidence: 99%

Time-Frequency Domain Variation Analysis and LSTM Forecasting of Regional Visibility in the China Region Based on GSOD Station Data

et al. 2023

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Atmospheric visibility is an important indicator that reflects the transparency of the atmosphere and characterizes the air quality, so it is of great significance to study the long-term change in visibility. This paper is based on the global surface summary of day data (GSOD) site dataset and other relevant data, using the Mann–Kendall (MK) mutation point test, wavelet transform, and seasonal autoregressive integrated moving average (SARIMA) model forecasting. The time-frequency domain variation characteristics and related influencing factors of regional visibility in China were studied in detail, and the visibility was predicted; the results of the study showed the following: (1) the overall interannual variation of regional visibility in China has a decreasing trend, and the four-season variation has a decreasing trend, except for the rising trend in summer, with abrupt change points in both the overall interannual variation and the four-season variation. (2) There are main cycles of visibility in the Chinese region with time scales of 180 months and 18 months. Under the time scale of 180 months for the main cycle, the variation period of visibility is about 123 months, experiencing two high to low variations; under the time scale of 18 months for the main cycle, the variation period of visibility is 12 months, experiencing 21 high to low variations. (3) The development of the economy indirectly affects changes in visibility. Cities with high economies are densely populated, with concentrations of various particulate emissions and high concentrations of particulate matter, which can directly reduce visibility. (4) Two prediction models, SARIMA and long and the short-term memory (LSTM) neural network, were used to predict the visibility in China, both of which achieved good evaluation indexes, and the visibility in China may show an increasing trend in the future.

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Improved Himawari-8 10-minute scale aerosol optical depth product using deep neural network over Japan

Tan,

Wang,

Zhang

2024

Atmospheric Pollution Research

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Joint increase of aerosol scattering efficiency and aerosol hygroscopicity aggravate visibility impairment in the North China Plain

Cited by 7 publications

References 34 publications

The Impact of Agroecosystems on Nitrous Acid (HONO) Emissions during Spring and Autumn in the North China Plain

The Impact of Agroecosystems on Nitrous Acid (HONO) Emissions during Spring and Autumn in the North China Plain

Time-Frequency Domain Variation Analysis and LSTM Forecasting of Regional Visibility in the China Region Based on GSOD Station Data

Improved Himawari-8 10-minute scale aerosol optical depth product using deep neural network over Japan

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