Detection and monitoring of super sandstorm and its impacts on Arabian Sea—Remote sensing approach

Kunte, P.D.; Aswini,

doi:10.1016/j.atmosres.2015.03.003

Cited by 15 publications

(9 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The contribution of mineral dust to the regional aerosol burden is well-known and has been explored in depth in the literature. Kunte and Aswini (2015) deduced that super sandstorms are often the result of the convergence of two separate sandstorms. Reid et al (2008a) found a mean dust concentration of 125 µg/m 3 at one site in the United Arab Emirates (UAE), and was able to identify six distinct dust sources based on mineral dust chemical composition and size distributions.…”

Section: Introductionmentioning

confidence: 99%

Investigation of the relative fine and coarse mode aerosol loadings and properties in the Southern Arabian Gulf region

Kaku

Reid²,

Reid³

et al. 2016

Atmospheric Research

View full text Add to dashboard Cite

The aerosol chemistry environment of the Arabian Gulf region is extraordinarily complex, with high concentrations of dust aerosols from surrounding deserts mixed with anthropogenic aerosols originating from a large petrochemical industry and pockets of highly urbanized areas. Despite the high levels of aerosols experienced by this region, little research has been done to explore the chemical composition of both the anthropogenic and mineral dust portion of the aerosol burden. The intensive portion of the United Arab Emirates Unified Aerosol Experiment (UAE 2), conducted during August and September 2004 was designed in part to resolve the aerosol chemistry through the use of multiple size-segregated aerosol samplers. The coarse mode mass (derived by subtracting the PM 2.5 aerosol mass from the PM 10 mass) is largely dust at 76% ± 7% of the total coarse mode mass, but is significantly impacted by anthropogenic pollution, primarily sulfate and nitrate. The PM 2.5 aerosol mass also contains a large dust burden, at 38% ± 26%, but the anthropogenic component dominates. The total aerosol burden has significant impact not only on the atmosphere, but also the local population, as the air quality levels for both the PM 10 and PM 2.5 aerosol masses reached unhealthy levels for 24% of the days sampled.

show abstract

Section: Introductionmentioning

confidence: 99%

Investigation of the relative fine and coarse mode aerosol loadings and properties in the Southern Arabian Gulf region

Kaku

Reid²,

Reid³

et al. 2016

Atmospheric Research

View full text Add to dashboard Cite

show abstract

“…MODIS has 36 bands in the visible to thermal infrared spectrum (0.4 -14.4 µm). From these bands, bands 1 and 2 have a 250-meter resolution, while bands 3 to 7 have 500-meter resolution, and bands 8 to 36 have 1 km of resolution [25]. Thermal bands have a spatial resolution of 1 km by 1 km.…”

Section: Study Areamentioning

confidence: 99%

“…Besides, satellite imagery can be efficient in studying how the meteorological parameters such as wind speed, wind direction, atmospheric pressure, and surface temperature affect the rise and distribution of dust in time and space [22,23,24]. Dust can be detected in the ultraviolet range by absorption (0.315 -0.4 µm), in the visible spectrum by scattering and in the thermal infrared region by the difference of ground surface/aerosol emissivity [25,26,5,27,28].…”

Section: Introductionmentioning

confidence: 99%

“…Several studies have been carried out for dust detection using satellite sensors such as MODIS [25,29,30], NOAA-Advanced High-Resolution Radiometer (AVHRR) [31,32], Ozone…”

Section: Introductionmentioning

confidence: 99%

“…By considering the surface background, various algorithms have been developed, e.g., Dark Target for detecting dust on the sea surface [39] and Deep Blue for bright surfaces such as deserts [40,41,42]. Moreover, a variety of approaches based on different parts of the electromagnetic spectrum are proposed, including, thermal-based bands [43,44,45,46,47,48,49], visible-and near infrared-based bands [50,51], and combination of visible and infrared spectral bands [52,53,25,54,55,10]. Many studies focused on the temporal and spatial variability of dust aerosol frequency [33], while others concentrate on identifying dust source regions [56].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Efficient dust detection based on spectral and thermal observations of MODIS imagery

Bahrami

Homayouni

Shah-Hosseini

et al. 2020

J. Appl. Rem. Sens.

View full text Add to dashboard Cite

The dust storm is one of the severe natural disasters that has been recently threatening the Middle East region due to climate changes and human activities. This phenomenon has become a national crisis in some countries in this region over the previous years, especially in spring and summer. This research aims to detect and monitor the areas covered by the seasonal and occasional dust storm from MODIS (Moderate Resolution Imaging Spectroradiometer) satellite imagery. MODIS imagery possesses impressive spectral and temporal characteristics that are essential for such an environmental application of Earth observations. An efficient algorithm, based on the spectral and statistical analysis of both thermal and reflectance bands of MODIS data, was developed through a decision tree method. To this end, an index was proposed to detect the dusts over the land using the brightness temperature of thermal bands. The results of the proposed algorithm were assessed utilizing ground-based observation of synoptic stations. The proposed method showed high reliability and performance, as well as the automatic capability of dust detection in land and sea areas of the image simultaneously. The evaluation of results showed that the proposed algorithm could detect thin and thick dust storms with an overall accuracy of about 80%. Moreover, the dust monitoring results visually agreed well with the Ozone Monitoring Instrument Aerosol Index (OMI-AI) dust products.

show abstract

Statistical quantification of the local daily surface meteorological condition’s impact properties on dust storm occurrence: style, intensity, significance, contribution, and decisiveness, taking North and Northwest China as an example

2020

Theor Appl Climatol

View full text Add to dashboard Cite

The local surface meteorological condition (SMC) is decisive for dust storm (DS) occurrence (DSO), and SMC's impact properties on DSO, such as its impact style, intensity and significance on, its contribution to and decisiveness for DSO, and so on, are expected to help deepen knowledge of SMC's impact mechanism on DSO so as to improve the DS prediction. This paper has selected 23 SMC factors and assumed they can wholly quantify SMC; so and SMC's impact properties on DSO can be well reflected by each SMC factor or factor group's, and the latter can be decided according to the DSO possibility's (DSOP's) variations with the factor or group. Based on all SMC factors' daily datasets together with DS records during 1970-2007 at 139 weather stations within North and Northwest China (NNWC), who encounters the dust storm most frequently and has widely and densely covered weather stations, this paper has put forward a set of universal statistical techniques to respectively quantify DSOP under a certain SMC, a certain SMC factor's impact style on DSO, and a certain SMC factor or factor group's impact intensity and significance on and its contribution to and decisiveness for DSO. After quantifying SMC's impact properties on DSO, their factor-to-factor, i.e., factorial, and station-to-station, i.e., spatial, variations within NNWC have been specially analyzed on in detail, resulting in some interesting conclusions: (1) generally, if one SMC factor rises (drops) from the NDS to DS day and it is positively (negatively) correlated to the DS frequentness (DSF), then it will usually impact on DSO positively (negatively), i.e., that factor's increase can usually raise (reduce) DSOP; The wind speed and evaporation (relative humidity and vapor pressure) impact on DSO positively (negatively) at all or almost all stations within NNWC, however, other factors impact positively here but negatively there. (2) The SMC factor or factor group's correlation degree to DSF and its sensitivity to DSO can somewhat decide its impact intensity and significance on and its contribution to and thus decisiveness for DSO: the more sensitive to DSO and the more highly correlated to DSF the factor or group, the more intensively, significantly, contributively, and thus decisively it impacts on DSO. (3) Of all factors, the wind speed has proved to impact on DSO much more intensively, significantly, contributively and thus decisively at all stations within NNWC, and SMC seems to impact on DSO almost wholly by modifying the wind speed. (4) Using the cluster technique onto SMC's impact properties on DSO, all stations within NNWC have been classified into 7 clusters, who can well display the regionality of SMC's impact mechanism on DSO.

show abstract

Detection and monitoring of super sandstorm and its impacts on Arabian Sea—Remote sensing approach

Cited by 15 publications

References 36 publications

Investigation of the relative fine and coarse mode aerosol loadings and properties in the Southern Arabian Gulf region

Investigation of the relative fine and coarse mode aerosol loadings and properties in the Southern Arabian Gulf region

Efficient dust detection based on spectral and thermal observations of MODIS imagery

Statistical quantification of the local daily surface meteorological condition’s impact properties on dust storm occurrence: style, intensity, significance, contribution, and decisiveness, taking North and Northwest China as an example

Contact Info

Product

Resources

About