نتایج جستجو برای: dust storms

تعداد نتایج: 49333  

Journal: :ecopersia 2015
davoud akhzari sahel haghighi

there are many reports of serious problems of dust storm events in the western parts of iran. based on many researches, iraq is one of the main sources of dust storms in western parts of iran. the radial basis function network (rbfn) model has been used to assess wind erosion hazard in iraq as a main source area of dust storms over several western cities of iran. the percentage of vegetation is...

2005
Gin-Rong Liu Tang-Huang Lin

In this study, data provided by the geostationary satellite GMS-5 S-VISSR was used to monitor dust storms. Although other satellites, such as TOMS, provide information regarding dust cover and air quality over specific locations, their limited orbital observation time makes it hard to issue real-time warnings for dust storms. Since geostationary satellites are capable of providing hourly observ...

Journal: :The European respiratory journal 2015
Maayan Yitshak-Sade Victor Novack Itzhak Katra Rafael Gorodischer Asher Tal Lena Novack

Air pollution has been shown to increase frequency of asthma attacks, as usually measured by hospitalisation rates. We hypothesise that purchase of asthma reliever medications will reflect a broader association between the environmental exposure and asthma exacerbations. In a time series analysis, we estimated the association of dust storms with mild asthma manifestations, as indicated by medic...

Journal: :Environmental Health Perspectives 2000

Introduction: Dust storm is one of the air pollutants in desert areas that have damaging effects on environmental ecosystems. This phenomenon usually happens when severe winds occur in arid areas which are accompanied by the ascent of dust particles to the upper layers of the atmosphere. HYSPLIT model can assist in detecting the path of dust entering the stations. In addition, synoptic patterns...

Journal: :Environmental Modelling and Software 2004
Benjamin H. Barnum Nathaniel S. Winstead Jeremy J. Wesely Amy R. Hakola Peter R. Colarco Owen B. Toon Paul Ginoux Gordon R. Brooks Linda M. Hasselbarth Bruce A. Toth

An operational model for the forecast of dust storms in Northern Africa, the Middle East and Southwest Asia has been developed for the United States Air Force Weather Agency (AFWA). The dust forecast model uses the 5th generation Penn State Mesoscale Meteorology Model (MM5) as input to the University of Colorado CARMA dust transport model. AFWA undertook a 60 day evaluation of the effectiveness...

Journal: :Weather 2021

WeatherVolume 76, Issue 11 p. 378-379 Insights Dust storms and haboobs John H. Marsham, Corresponding Author Marsham [email protected] University of Leeds, School Earth & Environment, UK Correspondence to: J. [email protected] for more papers by this authorClaire L. Ryder, Claire Ryder Department Meteorology, Reading, UKSearch author First published: 06 September 2021 https://doi....

Journal: :جغرافیا و مخاطرات محیطی 0
فهیمه محمدی سمیه کمالی مریم اسکندری

1. introduction dust phenomenon which occurs in arid and semiarid lands of the world is closely related to climatic characteristics of the region. according to the world meteorological organization (wmo), whenever wind speed exceeds 15 meter per second and horizontal visibility reduces to less than 1 km in a station, dust storm is reported (goudie & mideleton, 2006). great storms are created wh...

Journal: :desert 2013
a. a. nazari samani s. dadfar a. shahbazi

sand and dust storms are natural events that occur widely around the world, mostly in dry and bare lands. over thepast decade a large part of iran has been affected by this phenomenon, and tehran has not been excluded from thisevent. therefore, having knowledge of spatiotemporal frequency variations can aid us in future management andstorm trajectory assessment. in this study the synoptic anemo...

2016
Aishajiang Aili Nguyen Thi Kim Oanh Jilili Abuduwaili

To reveal the multivariate relationships between man-made and meteorological factors on dust storm frequency, the LUCC data, NDVI remote sensing data and meteorological data for the period of 1983-2013 were combined with dust storm frequency data, and the possible impacts of meteorological and anthropogenic factors on dust storm frequency were analyzed by using regression analysis and PCA (Prin...

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