PWE-Based Radar Equation to Predict Backscattering of Millimeter-Wave in a Sand and Dust Storm

2017 ◽  
Vol 65 (2) ◽  
pp. 785-793 ◽  
Author(s):  
Mu-Min Chiou ◽  
Jean-Fu Kiang
Keyword(s):  
Millimeter Wave ◽  
Dust Storm ◽  
Sand And Dust Storm ◽  
Radar Equation

Attenuation of Millimeter-Wave in a Sand and Dust Storm

2016 ◽  
Vol 13 (8) ◽  
pp. 1094-1098 ◽  
Author(s):  
Mu-Min Chiou ◽  
Jean-Fu Kiang
Keyword(s):  
Millimeter Wave ◽  
Dust Storm ◽  
Sand And Dust Storm

Strategies and experiences for sand and dust storm adaptation: A qualitative study in Iran

2021 ◽  
Author(s):  
Shiva Salehi ◽  
Ali Ardalan ◽  
Abbas Ostadtaghizadeh ◽  
Armin Zareiyan ◽  
Gholamreza Garmaroudi ◽  
...  
Keyword(s):  
Qualitative Study ◽  
Dust Storm ◽  
Sand And Dust Storm

Backscattering enhancement for infrared wave in sand and dust storm

2017 ◽  
Vol 46 (1) ◽  
pp. 104006
Author(s):  
杨瑞科 Yang Ruike ◽  
朱传帅 Zhu Chuanshuai ◽  
刘科祥 Liu Kexiang
Keyword(s):  
Dust Storm ◽  
Infrared Wave ◽  
Sand And Dust Storm

Backscattering enhancement for infrared wave in sand and dust storm

2017 ◽  
Vol 46 (1) ◽  
pp. 104006
Author(s):  
杨瑞科 Yang Ruike ◽  
朱传帅 Zhu Chuanshuai ◽  
刘科祥 Liu Kexiang
Keyword(s):  
Dust Storm ◽  
Infrared Wave ◽  
Sand And Dust Storm

scholarly journals Identification of sand and dust storm source areas in Iran

2015 ◽  
Vol 7 (5) ◽  
pp. 567-578 ◽  
Author(s):  
Hui Cao ◽  
Jian Liu ◽  
Guizhou Wang ◽  
Guang Yang ◽  
Lei Luo
Keyword(s):  
Dust Storm ◽  
Source Areas ◽  
Sand And Dust Storm

scholarly journals Effects of humidity on sand and dust storm attenuation predictions based on 14 GHz measurement

2021 ◽  
Vol 19 (2) ◽  
pp. 364
Author(s):  
Eltahir Idris Eltahir Mohamed ◽  
Elfatih A. A. Elsheikh ◽  
A. Awad Babiker ◽  
Islam Md. Rafiqul ◽  
Mohamad Hadi Habaebi ◽  
...  
Keyword(s):  
Dust Storm ◽  
Sand And Dust Storm

scholarly journals Particulate Matter Concentrations in a Middle Eastern City – An Insight to Sand and Dust Storm Episodes

2020 ◽  
Vol 20 (12) ◽  
pp. 2780-2792
Author(s):  
Tareq Hussein ◽  
Xinyang Li ◽  
Qusay Al-Dulaimi ◽  
Shatha Daour ◽  
Nahid Atashi ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Dust Storm ◽  
Middle Eastern ◽  
Sand And Dust Storm

scholarly journals Simulation of a Severe Sand and Dust Storm Event in March 2021 in Northern China: Dust Emission Schemes Comparison and the Role of Gusty Wind

Atmosphere ◽  
2022 ◽  
Vol 13 (1) ◽  
pp. 108
Author(s):  
Jikang Wang ◽  
Bihui Zhang ◽  
Hengde Zhang ◽  
Cong Hua ◽  
Linchang An ◽  
...  
Keyword(s):  
Dust Storm ◽  
Dust Emission ◽  
Northern China ◽  
Pm10 Concentration ◽  
Storm Event ◽  
Air Quality Model ◽  
Wind Model ◽  
Dust Source ◽  
Source Regions ◽  
Sand And Dust Storm

Northern China experienced a severe sand and dust storm (SDS) on 14/15 March 2021. It was difficult to simulate this severe SDS event accurately. This study compared the performances of three dust-emission schemes on simulating PM10 concentration during this SDS event by implementing three vertical dust flux parameterizations in the Comprehensive Air-Quality Model with Extensions (CAMx) model. Additionally, a statistical gusty-wind model was implemented in the dust-emission scheme, and it was used to quantify the gusty-wind contribution to dust emissions and peak PM10 concentration. As a result, the LS scheme (Lu and Shao 1999) produced the minimum errors for peak PM10 concentrations, the MB scheme (Marticorena and Bergametti 1995) underestimated the PM10 concentrations by 70–90%, and the KOK scheme (Kok et al. 2014) overestimated PM10 concentrations by 10–50% in most areas. The gusty-wind model could reasonably reproduce the probability density function of 2-min wind speeds. There were 5–40% more dust-emission flux and 5–40% more peak PM10 concentrations generated by the gusty wind than the hourly wind in the dust-source regions. The increase of peak PM10 concentration caused by gusty wind in the non-dust-source regions was higher than in the dust-source regions, with 10–50%. Implementing the gusty-wind model could help improve the LS scheme’s performance in simulating PM10 concentrations of this severe SDS event. More work is still needed to investigate the reliability of the gusty-wind model and LS scheme on various SDS events.

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