شناسایی مهمترین الگوهای سینوپتیکی ایجادکننده گرد و غبار در استان یزد و شمال کرمان

مقدمه: در سال‌های اخیر علاوه بر بلاهای جوی و اقلیمی متداول در دنیا، پدیده جدیدی به نام طوفان‌های گردوغبار نیز مطرح شده است پیش‌بینی طوفان‌های گردوغبار چه از نظر زمانی و چه از نظر مکانی می‌تواند در کاهش پیامدهای ویرانگر آن موثر باشد هدف این پژوهش شناسایی الگوهای سینوپتیک مولد گرد وغبار در استان یزد و شمال استان کرمان است.مواد و روش ها: در این پژوهش دودسته داده شامل داده های روزانه (کد 06) گردوغبار ایستگاه های همدید این مناطق طی سالهای آماری 1987 تا 2021 و متغیرهای دمای هوا، ارتفاع ژئوپتانسیل، فشار تراز دریا، باد مداری، باد نصف النهاری، رطوبت ویژه و اُمگا به عنوان داده های جو بالا مورداستفاده قرار گرفتند. برای بررسی همدید الگوهای ایجاد کننده گردوغبار در سال های موردنظر به ترسیم الگوهای گردشی ناهمواری ارتفاع ژئوپتانسیل تراز500 هکتوپاسکال در روزهای گردوغباری استان های مورد مطالعه پرداخته شد..نتایج و بحث: پس از تعیین روزهای گردوغبار با استفاده تحلیل خوشه ای و ادغام به روش وارد بر رویدادهای ناهمواری ارتفاع ژئوپنانسیل تراز 500 هکتوپاسکال 2 الگوی اصلی استخراج و ترسیم شد. نتایج برای نتیجه گیری بهتر از شرایط و عوامل به وجود آورنده پدیده گردوغبار دراستان یزد و شمال استان کرمان نقشه های متوسط فشار تراز دریا، رطوبت ویژه ترازهای700، 1000 و850 هکتوپاسکال، اُمگا(سرعت قائم هوا در جو) در ترازهای 1000 و 400 هکتوپاسکال، تاوایی (همگرایی ، واگرایی باد) در تراز 500 هکتوپاسکال و ترسیم جت (رود باد) تراز 300 هکتوپاسکال در زمان حاکمیت هر یک از الگوها ترسیم و بررسی گردید.نتیجه گیری: نتایج این پژوهش نشان داد که بیشترین ارتباط معنی دار بین الگوهای همدید منطقه خاورمیانه با رویدادهای گردوغبار در استان های مورد مطالعه توسط الگوهای گردشی زمستانه و بهاره در تراز 500هکتوپاسکال وجود دارد. مقدمه: در سال‌های اخیر علاوه بر بلاهای جوی و اقلیمی متداول در دنیا، پدیده جدیدی به نام

identifying the most important synoptic patterns that cause dust in yazd province and north of kerman

introduction: in recent years, in addition to the common weather and climate disasters in the world, a new phenomenon called dust storms has also been proposed. the prediction of dust storms both in terms of time and space can be effective in reducing its destructive consequences. the purpose of this research is to identify productive synoptic patterns. dust is in yazd province and north of kerman province.materials and methods: therefore, the two sets of data include the daily data (code 06) of dust from the synoptic stations of these regions during the statistical years of 1987 to 2021 and the variables of air temperature, geopotential height, sea level pressure, orbital wind, meridional wind, specific humidity and omega as data. the above atmosphere was used. in order to check the synergism of the patterns that cause dust in the years in question, the rough circulation patterns of the geopotential height of 500 hectopascals were drawn in the dusty days of the studied provinces. after determining the days of dust by using cluster analysis and integration by ward method, two main patterns were extracted and drawn on geopeninsular height unevenness events of 500 hectopascals.results and discussion: in order to draw better conclusions about the conditions and factors that cause the phenomenon of dust in yazd province and north of kerman province, maps of average sea level pressure, specific humidity at 700, 1000 and 850 hectopascals, omega (vertical air velocity in the atmosphere) at 1000 and 400 hectopascal levels, tavai (convergence, divergence of wind) at the level of 500 hectopascals and the drawing of the jet (wind river) at the level of 300 hectopascals during the rule of each of the patterns were drawn and examined.conclusion: the results of this research showed that there is the most significant relationship between the synoptic patterns of the middle east region and the dust events in the studied provinces by winter and spring circulation patterns at the level of 500 hectopascals.introduction: in recent years, in addition to the common weather and climate disasters in the world, a new phenomenon called dust storms has also been proposed. the prediction of dust storms both in terms of time and space can be effective in reducing its destructive consequences. the purpose of this research is to identify productive synoptic patterns. dust is in yazd province and north of kerman province.materials and methods: therefore, the two sets of data include the daily data (code 06) of dust from the synoptic stations of these regions during the statistical years of 1987 to 2021 and the variables of air temperature, geopotential height, sea level pressure, orbital wind, meridional wind, specific humidity and omega as data. the above atmosphere was used. in order to check the synergism of the patterns that cause dust in the years in question, the rough circulation patterns of the geopotential height of 500 hectopascals were drawn in the dusty days of the studied provinces. after determining the days of dust by using cluster analysis and integration by ward method, two main patterns were extracted and drawn on geopeninsular height unevenness events of 500 hectopascals.results and discussion: in order to draw better conclusions about the conditions and factors that cause the phenomenon of dust in yazd province and north of kerman province, maps of average sea level pressure, specific humidity at 700, 1000 and 850 hectopascals, omega (vertical air velocity in the atmosphere) at 1000 and 400 hectopascal levels, tavai (convergence, divergence of wind) at the level of 500 hectopascals and the drawing of the jet (wind river) at the level of 300 hectopascals during the rule of each of the patterns were drawn and examined.conclusion: the results of this research showed that there is the most significant relationship between the synoptic patterns of the middle east region and the dust events in the studied provinces by winter and spring circulation patterns at the level of 500 hectopascals. introduction: in recent years, in addition to the common weather and climate disasters in the world, a new phenomenon called dust storms has also been proposed. the prediction of dust storms both in terms of time and space can be effective in reducing its destructive consequences. the purpose of this research is to identify productive synoptic patterns. dust is in yazd province and north of kerman province.materials and methods: therefore, the two sets of data include the daily data (code 06) of dust from the synoptic stations of these regions during the statistical years of 1987 to 2021 and the variables of air temperature, geopotential height, sea level pressure, orbital wind, meridional wind, specific humidity and omega as data. the above atmosphere was used. in order to check the synergism of the patterns that cause dust in the years in question, the rough circulation patterns of the geopotential height of 500 hectopascals were drawn in the dusty days of the studied provinces. after determining the days of dust by using cluster analysis and integration by ward method, two main patterns were extracted and drawn on geopeninsular height unevenness events of 500 hectopascals.results and discussion: in order to draw better conclusions about the conditions and factors that cause the phenomenon of dust in yazd province and north of kerman province, maps of average sea level pressure, specific humidity at 700, 1000 and 850 hectopascals, omega (vertical air velocity in the atmosphere) at 1000 and 400 hectopascal levels, tavai (convergence, divergence of wind) at the level of 500 hectopascals and the drawing of the jet (wind river) at the level of 300 hectopascals during the rule of each of the patterns were drawn and examined.conclusion: the results of this research showed that there is the most significant relationship between the synoptic patterns of the middle east region and the dust events in the studied provinces by winter and spring circulation patterns at the level of 500 hectopascals.