Dust Storm Monitoring Using HYSPLIT Model and NDDI (Case Study: Southern Cities of Shiraz, Bushehr and Fasa, Iran)

Sajad, Khamooshi; Panahi, Fatemeh; Vali, Abbas; Mousavi, S. H.

doi:10.18869/modares.ecopersia.4.4.1603

Cited by 9 publications

(8 citation statements)

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“…Visibility, wind speed, velocity, rainfall and humidity data was retrieved at 500 hap from NCEP/NCAR. The winds rush from high-pressure areas to low pressure areas (Hamidi et al, 2014, Rashki et al, 2014, Khamooshi et al, 2016a, Dar et al, 2022. A noticeable decrease in the relative humidity was observed during the event.…”

Section: Normalized Dust Detection Index (Nddi): Nddi Depend Upon Vis...mentioning

confidence: 96%

“…Dust storms are complex local systems developed under certain meteorological conditions controlled by soil moisture, vegetation land-use and land cover changes; deforestation and drought conditions (Qu et al, 2006, Yue et al, 2017. They are among the dominant environmental issues of recent times which humans are encountering specially in arid areas (Gui et al, 2022) while arid topographical depressions (Papi et al, 2022) with sparse rainfall (100 -250 mm) (Khamooshi et al, 2016a, Filonchyk, 2022, and low vegetation cover acts as their sources. The terminology of dust storm is used for entrainment of huge amount of finer dust particles in lower air which travel long distances specifically in urban areas (Sissakian et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

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A Case Study of Dust Storm Events in Pakistan Using Normalized Dust Detection Index

Yaqub¹,

Younes

Mahmood³

et al. 2023

PJS

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Currently dust storms are among the most prevalent global environmental issues.They are the early warning indicators for desertification and climate change. The study intends toanalyse dust event in Pakistan using normalized dust detection index (NDDI), brightness temperature(BT) and MODIS data of aerosol optical depth (AOD), deep blue angstrom exponent (AE), aerosolindex (AI) and HYSPLIT mass trajectory methods. It also highlighted the relationship between NDDI,BT and AOD. The threshold value of NDDI was 0.19 - 0.36 and BT ≤ 310.5 K. Data from CALIPSO,NCEP/NCAR reanalysis datasets were used to validate research’s findings. The results found NDDIand BT value for Pakistan and track the movement of dust storm from west to east especially at theheight of 5-10km. Dust storms are inversely proportional to relative humidity and pressure.

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Section: Normalized Dust Detection Index (Nddi): Nddi Depend Upon Vis...mentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

A Case Study of Dust Storm Events in Pakistan Using Normalized Dust Detection Index

Yaqub¹,

Younes

Mahmood³

et al. 2023

PJS

View full text Add to dashboard Cite

show abstract

“…Most of the dust storms occur in arid and semi-arid regions and they impact human health, economy, and natural resources [1]. Dust storms generally occur in areas with dry climate where the average annual rainfall of less than 100 mm [2].…”

Section: Introductionmentioning

confidence: 99%

Monitoring Dust Storms in Iraq Using Satellite Data

Albarakat

Lakshmi

2019

Sensors

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Dust storms can suspend large quantities of sand and cause haze in the boundary layer over local and regional scales. Iraq is one of the countries that is often impacted to a large degree by the occurrences of dust storms. The time between June 29 to July 8, 2009 is considered one of the worst dust storm periods of all times and many Iraqis suffered medical problems as a result. We used data from the Moderate Resolution Imaging Spectroradiometer (MODIS). MODIS Surface Reflectance Daily L2G Global 1km and 500m data were utilized to calculate the Normalized Difference Dust Index (NDDI). The MYD09GA V006 product was used to monitor, map, and assess the development and spread of dust storms over the arid and semi-arid territories of Iraq. We set thresholds for NDDI to distinguish between water and/or ice cloud and ground features and dust storms. In addition; brightness temperature data (TB) from the Aqua /MODIS thermal band 31 were analyzed to distinguish sand on the land surface from atmospheric dust. We used the MODIS level 2 MYD04 deep blue 550nm Aerosol Option Depth (AOD) data that maintains accuracy even over bright desert surfaces. We found NDDI values lower than 0.05 represent clouds and water bodies, while NDDI greater than 0.18 correspond to dust storm regions. The threshold of TB of 310.5 K was used to distinguish aerosols from the sand on the ground. Approximately 75% of the territory was covered by a dust storm in July 5th 2009 due to strong and dry northwesterly winds.

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“…Since airborne particulate matter (PM), especially the fine particle, is a potential source of toxic heavy metals for urban residents via inhalation, oral (ingestion), and also dermal absorption, they can cause adverse effects on human health. So, in recent years, concern about the quality of dust and atmospheric depositions has been growing around the world (7)(8)(9)(10)(11).…”

Section: Introductionmentioning

confidence: 99%

Ecological Risk Assessment of Heavy Metals in the Atmospheric Dry Deposition in Hamedan City

Sobhanardakani

2018

J Kermanshah Univ Med Sci

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Background: Dust pollution can cause serious ecological problems. Therefore, the current study aimed to carry out the ecological risk assessment of heavy metals (Co, Cr, and Mn) in the atmospheric dry deposition in Hamedan city, Iran. Methods: In the current study, 36 samples of atmospheric dry deposition were collected from three regions of Hamedan city from September to October 2014. After sample digestion in the laboratory, the content of the metals was determined using inductively coupled plasma-optical emission spectrometer (ICP-OES). All statistical analyses were performed using the SPSS statistical package. Results:The results showed that the average contents (mg kg

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Dust Storm Monitoring Using HYSPLIT Model and NDDI (Case Study: Southern Cities of Shiraz, Bushehr and Fasa, Iran)

Cited by 9 publications

References 0 publications

A Case Study of Dust Storm Events in Pakistan Using Normalized Dust Detection Index

A Case Study of Dust Storm Events in Pakistan Using Normalized Dust Detection Index

Monitoring Dust Storms in Iraq Using Satellite Data

Ecological Risk Assessment of Heavy Metals in the Atmospheric Dry Deposition in Hamedan City

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