Aeolian salts in Gobi deserts of the western region of Inner Mongolia: Gone with the dust aerosols

Wang, Xunming; Hua, Ting; Zhang, Caixia; Lang, Lili; Wang, Hongtao

doi:10.1016/j.atmosres.2012.06.003

Cited by 52 publications

(32 citation statements)

References 41 publications

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“…Additionally, the higher contribution of Ca 2þ indicated the importance of transport of dust storm from the north of China for the PM 2.5 in Shanghai in spring (Huang et al, 2010;Wang et al, 2008Wang et al, , 2012, and the contribution of marine aerosol characterized by sodium was considerable in summer.…”

Section: Pm 25 Chemical Compositionsmentioning

confidence: 96%

Chemical composition of PM2.5 and meteorological impact among three years in urban Shanghai, China

Wang

Qiao

Lou

et al. 2016

Journal of Cleaner Production

125

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Section: Pm 25 Chemical Compositionsmentioning

confidence: 96%

Chemical composition of PM2.5 and meteorological impact among three years in urban Shanghai, China

Wang

Qiao

Lou

et al. 2016

Journal of Cleaner Production

125

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“…The WRF-DUST model has been applied to simulate dust storm events in several previous studies (Kang et al, 2009;Bian et al, 2011;Wang et al, 2012;N. Li et al, 2016).…”

Section: Model Descriptionmentioning

confidence: 99%

Effect of ecological restoration programs on dust concentrations in the North China Plain: a case study

Long

Tie

et al. 2018

Atmos. Chem. Phys.

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Abstract. In recent decades, the Chinese government has made a great effort in initiating large-scale ecological restoration programs (ERPs) to reduce the dust concentrations in China, especially for dust storm episodes. Using the Moderate Resolution Imaging Spectroradiometer (MODIS) land cover product, the ERP-induced land cover changes are quantitatively evaluated in this study. Two obvious vegetation protective barriers arise throughout China from the southwest to the northeast, which are well known as the “Green Great Wall” (GGW). Both the grass GGW and forest GGW are located between the dust source region (DSR) and the densely populated North China Plain (NCP). To assess the effect of ERPs on dust concentrations, a regional transport/dust model (WRF-DUST, Weather Research and Forecast model with dust) is applied to investigate the evolution of dust plumes during a strong dust storm episode from 2 to 8 March 2016. The WRF-DUST model generally performs reasonably well in reproducing the temporal variations and spatial distributions of near-surface [PMC] (mass concentration of particulate matter with aerodynamic diameter between 2.5 and 10 µm) during the dust storm event. Sensitivity experiments have indicated that the ERP-induced GGWs help to reduce the dust concentration in the NCP, especially in BTH (Beijing, Tianjin, and Hebei). When the dust storm is transported from the upwind DSR to the downwind NCP, the [PMC] reduction ranges from −5 to −15 % in the NCP, with a maximum reduction of −12.4 % (−19.2 µg m−3) in BTH and −7.6 % (−10.1 µg m−3) in the NCP. We find the dust plumes move up to the upper atmosphere and are transported from the upwind DSR to the downwind NCP, accompanied by dust decrease. During the episode, the forest GGW is nonsignificant in dust concentration control because it is of benefit for dry deposition and not for emission. Conversely, the grass GGW is beneficial in controlling dust erosion and is the dominant reason for [PMC] decrease in the NCP. Because the air pollution is severe in eastern China, especially in the NCP, and the contribution of dust episodes is significant, the reduction of dust concentrations will have important effects on severe air pollution. This study illustrates the considerable contribution of ERPs to the control of air pollution in China, especially in springtime.

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“…The area is dominated by westerly and north-westerly winds, with an annual average wind speed of 4.4 m s À1 . These high winds contribute to the area being one of three primary dust sources in north-west China (Wang et al, 2012).…”

Section: Geographical Settingmentioning

confidence: 99%

Late Quaternary lake evolution in the Gaxun Nur basin, central Gobi Desert, China, based on quartz OSL and K‐feldspar pIRIR dating of paleoshorelines

Jin

et al. 2017

J Quaternary Science

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Paleoenvironmental changes in the Gobi Desert of Mongolia are of global significance because fluvial and lacustrine deposits in the region constitute one of the dominant sources of Northern Hemisphere dust. A series of well‐preserved geomorphic shoreline features at different elevations around the Gaxun Nur basin, central Gobi Desert, indicate past fluctuations of the basin's terminal lake. We measured the exact elevation of shorelines in the basin using a Differential Global Positioning System, and found six shorelines at ∼24, ∼20, ∼18, ∼16, ∼15 m and ∼8 m above the modern basin floor. Quartz optically stimulated luminescence and K‐feldspar post‐infrared infrared stimulated luminescence methods were used to date these shoreline features. The reliability of the dates was confirmed using internal checks of luminescence characteristics and by comparing the quartz and K‐feldspar ages. Our results suggest a lake developed in the Gaxun Nur basin by at least ∼121 ka. Lake levels increased from ∼8 to ∼24 m from ∼121 to ∼85 ka. A 20–13‐m‐deep lake again formed in the basin between ∼8.4 and 0.8 ka. Monsoonal precipitation and temperature variations during Marine Isotope Stage 5 and the mid–late Holocene were the likely causes of paleolake formation and lake level fluctuations.

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Aeolian salts in Gobi deserts of the western region of Inner Mongolia: Gone with the dust aerosols

Cited by 52 publications

References 41 publications

Chemical composition of PM2.5 and meteorological impact among three years in urban Shanghai, China

Chemical composition of PM2.5 and meteorological impact among three years in urban Shanghai, China

Effect of ecological restoration programs on dust concentrations in the North China Plain: a case study

Late Quaternary lake evolution in the Gaxun Nur basin, central Gobi Desert, China, based on quartz OSL and K‐feldspar pIRIR dating of paleoshorelines

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