Characteristics of Dust Events in China from 2015 to 2020

Yang, Lili; Zhang, Shuwen; Huang, Zhongwei; Yang, Yanping; Wang, Lina; Han, Wenhua; Li, Xiaoyun

doi:10.3390/atmos12080952

Cited by 23 publications

(11 citation statements)

References 33 publications

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“…Generally, after 2003, the number of FEPDE flow trajectories and the proportion of FEPDE flow trajectories experienced a decreasing trend. This indicates that the frequency of dust events in the DAC clearly decreased, which coincided with the results of Yang et al (2021). However, the amount of actual dust emissions did not show a significant decreasing trend after 2008 (Figure 3a).…”

Section: Resultssupporting

confidence: 91%

Studying the function of ecosystem in preventing aeolian dust emission in the dryland areas of China

Wang

Ferreira

2023

European J Soil Science

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Aeolian dust emissions can cause many environmental hazards, like accelerating land degradation and desertification, polluting air, harming human health, and so on. The dryland areas of China (DAC) are hot spots of aeolian dust emissions. To date, many efforts have been paid to researching dust emissions processes and effects, but research studies on ecosystems' function in preventing dust emissions are still very limited. In this study, we investigated the function of DAC ecosystems in preventing dust emissions, and the corresponding driving factors through integrated wind erosion modelling system (IWEMS) modelling. The main results indicate that: (1) from 2001 to 2020, the ecosystems of DAC prevented the emission of dust ~40,554 Tg, approximately 15 times as much as the total actual dust emission (~2776 Tg); (2) the function of DAC ecosystems in preventing dust emissions was relatively strong in spring and winter; (3) grassland ecosystems had the strongest function in preventing dust emissions among all the land cover types, avoiding the emission of dust ~20,857 Tg over 2001–2020; (4) dust emission prevention function provided by the DAC ecosystems benefits almost every region of China, which provides a theoretical basis for formulating ecological compensation policies; and (5) the changes in dust emissions were dominated by wind speed in most areas of DAC.

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Section: Resultssupporting

confidence: 91%

Studying the function of ecosystem in preventing aeolian dust emission in the dryland areas of China

Wang

Ferreira

2023

European J Soil Science

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“…Moreover, a discernible pattern emerges, revealing a gradual decrease in both the frequency and duration of sand and dust weather events as one moves from north to south, as well as from east to west across the expansive North China region. These ndings are consistent with previous studies in the eld [39,48,49], con rming that PM 10 and PM…”

Section: Evolution and Prediction Of Sand-dust Eventssupporting

confidence: 93%

“…To precisely identify and characterize these events, this study utilized data and information obtained from Chinese environmental monitoring stations to ascertain the commencement and conclusion times of sand and dust events. The speci c start time of the impact of sand and dust weather can be determined using two methods [39], and the rst method was used in this study: i. The urban hourly concentrations of PM 2.5 and PM 10 exhibit a ratio that remains equal to or below half of the average recorded over the preceding six hours;…”

Section: Methods For Identifying Sand and Dust Eventsmentioning

confidence: 99%

Spatio-temporal Distribution and Transport Pathways Analysis of Sand and Dust Weather in North China

Fan,

Wang,

et al. 2024

Preprint

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This study commences by extracting hourly data on PM10 and PM2.5 concentrations to discern occurrences of sand and dust events in the North China region spanning from 2015 to 2023. Subsequently, the HYSPLIT model is employed to precisely locate the sources and track the migration routes of specific representative sand and dust weather occurrences. Additionally, the study investigates the interplay between meteorological factors and dust events to elucidate the triggering mechanisms of these phenomena. Building on these findings, used to forecast PM10 concentrations for North China through random forest model. The findings indicate In March 19 to 23, 2023, North China witnessed dust events, with the episode from being the most intense and widespread in recent years. An analysis of the paths and sources of this sand and dust event revealed that the severe sandstorm in North China was the result of a synergistic effect of dust sources from Mongolia and Northwest China. The study identified a combination of meteorological factors—maximum wind speed > 6.1 m/s, relative humidity < 56%, and solar radiation > 128 w/m2—as having the most significant impact on sandstorm in North China. Leveraging these research outcomes, the study established an hourly PM10 prediction model for North China using random forest approach, with the highest accuracy for 1–3 hour forecasts. This study has advanced our understanding of dust and sand weather events to a certain extent,, furnishing a theoretical and scientific basis for the effective management of sand and dust in ecologically vulnerable regions.

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“…The emitted dust aerosols can transport from NWC to the North Pacific Ocean, Korea, Japan, and even North America and significantly modulate local weather and climate along with the transport paths (Bishop et al., 2002; Duce et al., 1980; Grousset et al., 2003). Despite the decrease in the frequency of dust events in NWC were observed, the strong dust events still frequently occurred over here (Yang et al., 2021). Therefore, investigating the strong dust events and their impacts on meteorological fields in NWC are still of great significance.…”

Section: Introductionmentioning

confidence: 65%

Understanding the Daytime and Nighttime Impacts of Dust Aerosols on Surface Energy and Meteorological Fields in Northwest China

Wang

Yin

et al. 2022

JGR Atmospheres

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Dust aerosols pose non‐negligible impacts on regional and global climate, particularly over northwest China (NWC), where dust events frequently occur. Here, six dust events with different intensities occurred from 2014 to 2019 in NWC were simulated by the Weather Research and Forecasting model coupled to Chemistry (WRF‐Chem) to quantitatively evaluate the contributions of dust aerosols to radiation fluxes, surface energy, and meteorology, with specific consideration to the distinctions between daytime and nighttime. The results show that the contributions of dust aerosols to surface energy and meteorology were significantly affected by dust concentrations and dust layer heights and exhibited diurnal variation. In the case with high dust concentration and low dust layer height, dust aerosols increased the surface energy during the nighttime but decreased in the daytime, and the increase was much greater than the decrease. As a result, dust aerosols increase surface energy (0.06 W/m2 in the dust source region; 0.13 W/m2 in the dust affected region (DAR)) and surface temperature (0.0088°C in the DSR; 0.0781°C in the DAR) and decrease surface relative humidity (−0.053% in the DSR; −0.205% in the DAR) throughout the whole day. In contrast, dust causes opposite impacts on surface meteorology throughout the whole day due to the nighttime warming effect from the dust events with low dust concentration and high dust layer height is lesser than the daytime cooling effect. The study provides scientific insights for improving our understanding of dust aerosols‐regional meteorology interaction.

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Characteristics of Dust Events in China from 2015 to 2020

Cited by 23 publications

References 33 publications

Studying the function of ecosystem in preventing aeolian dust emission in the dryland areas of China

Studying the function of ecosystem in preventing aeolian dust emission in the dryland areas of China

Spatio-temporal Distribution and Transport Pathways Analysis of Sand and Dust Weather in North China

Understanding the Daytime and Nighttime Impacts of Dust Aerosols on Surface Energy and Meteorological Fields in Northwest China

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