نتایج جستجو برای: dust phenomenon forecasting
تعداد نتایج: 239846 فیلتر نتایج به سال:
Analysis of the relationship between dust phenomenon and rural population changes in Sistan region Abstract Aims & Backgrounds: Dust storms are a phenomenon caused by weather conditions such as high wind speeds, dry air and bare and vulnerable soil to erosion. One of the most important areas affected by dust in other parts of Iran is the Sistan region in southeastern Iran. This study was condu...
Interstellar gas and dust constitute the primary material from which the solar system formed. Near the end of the hot early phase of star and planet formation, volatile, less refractory materials were transported into the inner solar system as comets and interplanetary dust particles. Once the inner planets had sufficiently cooled, late accretionary infall seeded them with complex organic compo...
Haboobs are dust storms produced by the spreading of evaporatively cooled air from thunderstorms over dusty surfaces and are a major dust uplift process in the Sahara. In this study observations, reanalysis, and a high-resolution simulation using the Weather Research and Forecasting model are used to analyze the multiscale dynamics which produced a long-lived (over 2 days) Saharan mesoscale con...
1. introduction in recent years, desert dust frequency has increased in the global system. due to lack of vegetation in the regions prone to dust, the earth’s surface air becomes warm enough in these regions, moves upward and causes a cold downward circular air flow when it collides with upper tropospheric winds. when these winds strongly hit the earth’s surface, they create dust storms (xuan e...
Historical evidence indicates that dust storms of considerable ferocity often wreak havoc, posing a genuine threat to the climatic and societal equilibrium of a place. A systematic study, with emphasis on the modeling and forecasting aspects, thus, becomes imperative, so that efficient measures can be promptly undertaken to cushion the effect of such an unforeseen calamity. The present work int...
Research objective: The aim of the article is to analyze effectiveness and accuracy deep learning in predicting trends changes related financialization.
 Methodology: In preparing this scientific article, focus was on conducting a literature review analyzing existing research that utilized techniques forecast phenomenon financialization. principles, algorithms, applied were discussed, with...
The Barcelona Supercomputing Center (BSC) is the National Supercomputer Facility in Spain, hosting MareNostrum, one of the most powerful Supercomputers in Europe. The Earth Sciences Department of BSC operates daily regional dust and air quality forecasts and conducts intensive modelling research for short-term operational prediction. This contribution summarizes the latest developments and curr...
BACKGROUND Saharan dust intrusions are a common phenomenon in the Madrid atmosphere, leading induce exceedances of the 50 μg/m(3)--EU 24 h standard for PM10. METHODS We investigated the effects of exposure to PM(10) between January 2003 and December 2005 in Madrid (Spain) on daily case-specific mortality; changes of effects between Saharan and non-Saharan dust days were assessed using a time-...
1. introduction dust storm is a natural phenomenon that occurs frequently in the arid and semi-arid regions all over the world (alijani, 1997). dust can affect soil fertility, forests, rivers, lakes, and marine ecosystems around the world (mctainsh et al., 2007). therefore, soil erosion can lead to the loss of the minerals and organic matter of topsoil. some elements of dust have also an indire...
Particulate matters have detrimental effects on human health, environment and economic. This pollutant may emit from anthropogenic or natural sources. On global scale, main proportion of natural particulate matter release to the atmosphere because of wind erosion from arid and semi-arid regions. Recently, the amount of dust coming from Arabian countries has dramatically increased, especially du...
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