Quantitative analysis on windblown dust concentrations of PM10 (PM2.5) during dust events in Mongolia

Jugder, D.; Shinoda, Masato; Kimura, Reiji; Батболд, A.; Amarjargal, Danzansambuu

doi:10.1016/j.aeolia.2014.04.005

Cited by 44 publications

(37 citation statements)

References 43 publications

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“…The area around Urmia Lake that was considered for this study has been selected based on remotely sensed NDVI values smaller than 0.2, which represent bare soil (Kimura et al, 2009; Kimura, 2012). It can be safely assumed that vegetated areas (NDVI ≥ 0.2) do not significantly contribute to dust generation (Jugder et al, 2014; Fan et al, 2014; Kimura and Shinoda, 2010). Based on a digital elevation map from the Urmia Lake basin we also omitted areas with slopes larger than 5% to focus on the salt playa and adjacent agricultural land (Gholampour et al, 2017) and eliminate the surrounding rugged mountainous regions (Fig.…”

Section: Methodsmentioning

confidence: 99%

Application of Satellite Remote Sensing for Estimation of Dust Emission Probability in the Urmia Lake Basin in Iran

Effati

Bahrami

Gohardoust

et al. 2019

Soil Science Soc of Amer J

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Saline playas in arid and semiarid regions of the world are significant sources of unconsolidated sediments susceptible to aeolian transport. Lake Urmia in Iran, one of the largest saltwater lakes on Earth, has waned to approximately 18% of its original size due to groundwater pumping and surface water diversions. This has led to ecosystem degradation, accelerated desertification and frequent dust storms, causing public health problems. In this paper we introduce a new framework for delineation of dust source zones and estimation of dust occurrence probability based on remotely sensed land surface properties (soil moisture and vegetation cover), soil texture, wind speed, and measured dust frequencies. Observations from the Moderate Resolution Imaging Spectroradiometer (MODIS) for the Urmia Lake basin were utilized to determine the Normalized Difference Vegetation Index (NDVI) and to estimate surface soil moisture with a recently introduced optical trapezoid model. The soil textures extracted from the SoilGrids database and wind speeds obtained from local weather stations together with the estimated surface soil moisture were found to be highly correlated with dust emission probability. When the surface soil moisture is low, wind speed is the major determinant for dust occurrence. With increasing surface soil moisture, the dust occurrence probability decreases. Soil moisture effects are more pronounced at high wind speeds. While at low wind speeds the dust occurrence probabilities for the investigated soil textures loam, clay loam and sandy clay loam are similar, at higher wind speeds the sandy clay loam texture exhibits the highest susceptibility to dust generation. Core Ideas A remote sensing framework for delineation of dust source zones is introduced. Surface soil moisture and soil texture are correlated with dust emission frequency. Dust occurrence probability is highest for low moisture conditions and sandy soils.

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Section: Methodsmentioning

confidence: 99%

Application of Satellite Remote Sensing for Estimation of Dust Emission Probability in the Urmia Lake Basin in Iran

Effati

Bahrami

Gohardoust

et al. 2019

Soil Science Soc of Amer J

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“…Dust concentrations of PM 10 increase by at least double during severe dust events in comparison with normal atmospheric conditions [9,10]. PM 10 dust particles are the primary source of the yellow dust phenomenon that spreads across Northeast Asia [11].…”

Section: Introductionmentioning

confidence: 99%

Northeast Asian Dust Transport: A Case Study of a Dust Storm Event from 28 March to 2 April 2012

et al. 2019

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The distribution and transport of windblown dust that occurred in Northeast Asia from 28 March to 2 April 2012 was investigated. Data of particulate matter less than 10 micrometers (PM10) near the surface and light detection and ranging (LiDAR) measurements from the ground up to 18 km were used in the study. A severe dust event originated over southern Mongolia and northern China on 28 March 2012, and the widespread dust moved from the source area southeastward toward Japan over several days. Windblown dust reached Japan after two days from the originating area. LiDAR measurements of the vertical distribution of the dust were one to two km thick in the lower layer of the atmosphere, and increased with the increasing distance from the source area.

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“…Estimated TSP concentrations from BMEq and SH-Eq are converted to PM 10 using the minimum, maximum and average value of the PM 10 /TSP ratio found experimentally, in order to assess the impact of the PM 10 /TSP ratio uncertainty on PM 10 derived from these two equations. In the case of JU-Eq we have used the empirical relationship obtained at Zamyn-Uud station by Jugder et al (2014), which showed the best agreement with the rest of the equations. DAY-Eq has not been analyzed at IZO station because it was derived for visibilities ≤ 5 km, a very low threshold for this station.…”

Section: Determination Of the Pm 10 -Visibility Empirical Equationmentioning

confidence: 99%

“…However, many studies have shown that horizontal visibility is a good indicator of dust storms (e.g N'Tchayi et al, 1997;Shao et al,2003;Shao et al, 2006;Mahowald et al, 2007;Klose et al 2010;Hamidi et al, 2014). Several empirical equations relating surface dust concentrations and visibility have been proposed in dust regions, such as North America (Chepil and Woodruff, 1957;Patterson and Gillete, 1977), Australia (Tews, 1996;Leys et al 2002), Asia (Shao et al 2003;Wang et al 2008, Jugder et al, 2014, West Asia (Dayan et al 2008) and in West Africa (D'Almeida, 1986;Ben Mohamed et al 1992).…”

Section: Introductionmentioning

confidence: 99%

An empirical equation to estimate mineral dust concentrations from visibility observations in Northern Africa

et al. 2015

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Quantitative analysis on windblown dust concentrations of PM10 (PM2.5) during dust events in Mongolia

Cited by 44 publications

References 43 publications

Application of Satellite Remote Sensing for Estimation of Dust Emission Probability in the Urmia Lake Basin in Iran

Application of Satellite Remote Sensing for Estimation of Dust Emission Probability in the Urmia Lake Basin in Iran

Northeast Asian Dust Transport: A Case Study of a Dust Storm Event from 28 March to 2 April 2012

An empirical equation to estimate mineral dust concentrations from visibility observations in Northern Africa

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