Key Processes for Dust Emissions and their Modeling

2007 ◽  
pp. 63-81 ◽  
Author(s):  
Gilles Bergametti ◽  
Beartrice Marticorena ◽  
Benoit Laurent
Keyword(s):  
Dust Emissions

scholarly journals Drivers to dust emissions over dust belt from 1980 to 2018 and their variation in two global warming phases

2020 ◽  
pp. 144860
Author(s):  
Lamei Shi ◽  
Jiahua Zhang ◽  
Fengmei Yao ◽  
Da Zhang ◽  
Huadong Guo
Keyword(s):  
Global Warming ◽  
Dust Emissions

Modelling of dust emissions induced by flow over stockpiles and through packed beds

Particuology ◽  
2020 ◽  
Author(s):  
Daniel Schulz ◽  
Nadja Schwindt ◽  
Eberhard Schmidt ◽  
Harald Kruggel-Emden
Keyword(s):  
Packed Beds ◽  
Dust Emissions

Spatio-temporal trends of dust emissions triggered by desertification in China

CATENA ◽  
2021 ◽  
Vol 200 ◽  
pp. 105160
Author(s):  
Xunming Wang ◽  
Diwen Cai ◽  
Siyu Chen ◽  
Junpeng Lou ◽  
Fa Liu ◽  
...  
Keyword(s):  
Temporal Trends ◽  
Dust Emissions ◽  
Spatio Temporal

scholarly journals Inverting the East Asian Dust Emission Fluxes Using the Ensemble Kalman Smoother and Himawari-8 AODs: A Case Study with WRF-Chem v3.5.1

Atmosphere ◽  
2019 ◽  
Vol 10 (9) ◽  
pp. 543
Author(s):  
Dai ◽  
Cheng ◽  
Goto ◽  
Schutgens ◽  
Kikuchi ◽  
...  
Keyword(s):  
Dust Emission ◽  
Asian Dust ◽  
Geostationary Satellite ◽  
Satellite Observations ◽  
Dust Emissions ◽  
Total Dust ◽  
Kalman Smoother ◽  
Independent Observations ◽  
Moderate Resolution Imaging Spectroradiometer ◽  
Horizontal And Vertical Distributions

We present the inversions (back-calculations or optimizations) of dust emissions for a severe winter dust event over East Asia in November 2016. The inversion system based on a fixed-lag ensemble Kalman smoother is newly implemented in the Weather Research and Forecasting model and is coupled with Chemistry (WRF-Chem). The assimilated observations are the hourly aerosol optical depths (AODs) from the next-generation geostationary satellite Himawari-8. The posterior total dust emissions (2.59 Tg) for this event are 3.8 times higher than the priori total dust emissions (0.68 Tg) during 25–27 November 2016. The net result is that the simulated aerosol horizontal and vertical distributions are both in better agreement with the assimilated Himawari-8 observations and independent observations from the ground-based AErosol RObotic NETwork (AERONET), the satellite-based Moderate Resolution Imaging Spectroradiometer (MODIS) and the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO). The developed emission inversion approach, combined with the geostationary satellite observations, can be very helpful for properly estimating the Asian dust emissions.

scholarly journals Effects of Non-Photosynthetic Vegetation on Dust Emissions

2021 ◽  
Author(s):  
Xinyue Huang ◽  
Hosein Foroutan
Keyword(s):  
Dust Emissions

An Investigation into the Processes and Quantity of Dust Emissions over Gravel and Sand Deserts in North-Western China

2017 ◽  
Vol 163 (3) ◽  
pp. 523-535 ◽  
Author(s):  
Zhengcai Zhang ◽  
Zhibao Dong ◽  
Guangqian Qian ◽  
Guoxi Wu ◽  
Xujia Cui
Keyword(s):  
Western China ◽  
Dust Emissions ◽  
North Western

Potential health benefits of controlling dust emissions in Beijing

2016 ◽  
Vol 213 ◽  
pp. 850-859 ◽  
Author(s):  
Jing Meng ◽  
Junfeng Liu ◽  
Songmiao Fan ◽  
Chuyun Kang ◽  
Kan Yi ◽  
...  
Keyword(s):  
Health Benefits ◽  
Potential Health ◽  
Dust Emissions

High Latitude Dust: contemporary emissions and geomorphic interactions

2021 ◽  
Author(s):  
Joanna Bullard
Keyword(s):  
Remote Sensing ◽  
Environmental Change ◽  
High Latitude ◽  
Cold Climate ◽  
Sediment Supply ◽  
Future Research ◽  
Similar Proportion ◽  
High Latitudes ◽  
Dust Emissions ◽  
Dust Sources

<div> <p>The world’s largest contemporary dust sources are in low-lying, hot, arid regions, however the processes of dust production and emission also operate in cold climate regions at high latitudes and altitudes.  This lecture focuses on contemporary dust emissions originating from the high latitudes (≥50°N and ≥40°S) and explores three themes before setting out an integrated agenda for future research.  The first theme considers how much dust originates from the high latitudes and methods for determining this.  Estimates from field studies, remote sensing and modelling all suggest around 5% of contemporary global dust emissions originate in the high latitudes, a similar proportion to that from the USA (excluding Alaska) or Australia.  This estimate is a proportion of a highly uncertain figure as quantification of dust emissions from Eurasian high latitudes is limited, and the contribution of local and regional emissions (from any latitude) to the global total is thought to be considerably under-estimated.  Emissions are particularly likely to be under-estimated where dust sources are topographically constrained, and where cold climates reduce vertical mixing of dust plumes restricting the altitudes to which the dust can rise, because both these characteristics present particular challenges for modelling and remote sensing approaches. The second theme considers the drivers of contemporary high latitude dust emissions that reflect complex interactions among sediment supply, sediment availability and transport capacity across different geomorphic sub-systems.  These interactions determine the magnitude, frequency and timing of dust emissions at a range of time scales (diurnal, seasonal, decadal) but both the drivers and response can be nonlinear and hard to predict.  The third and final theme explores the importance of high latitude dust cycling for facilitating cross-boundary material fluxes and its impact in the atmosphere, cryosphere, and terrestrial and marine ecosystems.  This is influenced not only by the quantity and timing of dust emissions but also by dust properties such as particle-size and geochemistry.  Landscape sensitivity, spatial environmental transitions and temporal environmental change are highlighted for their importance in determining how the interactions among drivers and cycles are likely to change in response to future environmental change.</p> </div>

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