基于高速公路氣象監(jiān)測(cè)數(shù)據(jù)分析的濃霧預(yù)報(bào)指標(biāo)
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河北省科技廳項(xiàng)目“災(zāi)害性天氣條件下高速公路通行管理技術(shù)研究”(12275405)、河北省氣象局項(xiàng)目“高速公路大霧天氣潛勢(shì)預(yù)報(bào)和預(yù)警服務(wù)指標(biāo)研究”(13ky19)資助


Weather Forecast Indexes of Dense Fogs Based on Traffic Weather Monitoring Data
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    摘要:

    利用京秦高速公路沿線交通氣象監(jiān)測(cè)站實(shí)況資料,通過對(duì)84個(gè)站次的濃霧霧生和霧消各氣象要素變化特征進(jìn)行分析,歸納出高速公路沿線濃霧和強(qiáng)濃霧天氣霧生霧消的預(yù)報(bào)指標(biāo)。爆發(fā)性強(qiáng)濃霧期間能見度少波動(dòng),在能見度爆發(fā)下降前,溫度下降過程中的小幅上升對(duì)能見度突然下降有很好的指示作用;相對(duì)濕度在能見度爆發(fā)下降前1 h內(nèi)達(dá)到80%以上。一般性強(qiáng)濃霧大多數(shù)出現(xiàn)在溫度波動(dòng)之后繼續(xù)直線下降期間;在500 m濃霧出現(xiàn)15 h之前空氣相對(duì)濕度達(dá)90%以上,能見度達(dá)50 m之前相對(duì)濕度基本達(dá)飽和狀態(tài)。濃霧消散主要有兩個(gè)方面,因冷空氣造成的霧消,預(yù)報(bào)應(yīng)著眼于冷空氣前鋒影響高速公路所在區(qū)域的時(shí)間;而由輻射升溫造成的霧消,預(yù)報(bào)應(yīng)著眼于對(duì)天空狀況和升溫速度的判斷。

    Abstract:

    Forecasting indexes of dense fog formation and dissipation along highway are summarized by analyzing the meteorological element features of 84 observation samples from the traffic meteorological observation data along the Beijing Qinhuangdao Highway. The visibility during the dense fogs almost keeps unchanged. Small rise during the decline of temperature provides a good indicator of sudden visibility decreasing. The relative humidity can be up to greater than 80% in an hour before the sudden visibility decreasing. General dense fogs mostly appear during the continuous linear decreasing period of temperature after temperature fluctuation. The relative humidity can reach up to greater than 90%, which happens 15 hour before the visibility decreases to less than 500 m, and the relative humidity reaches the saturated state before the visibility decreases to less than 50 m. When fog dissipation is caused by cold air, forecast should focus on the time when the cold front reaches the highway; when fog dissipation is caused by radiative temperature rise, forecast should focus on the judgment of weather conditions and temperature increasing speed.

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趙娜,孟憲羅,馬翠平,曲曉黎,張金滿.基于高速公路氣象監(jiān)測(cè)數(shù)據(jù)分析的濃霧預(yù)報(bào)指標(biāo)[J].氣象科技,2015,43(1):145~150

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  • 收稿日期:2014-03-18
  • 定稿日期:2014-07-28
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  • 在線發(fā)布日期: 2015-02-13
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