皖西南地区E601B型蒸发量日变化及影响因素分析
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1.安庆市气象局;2.中国气象局气象探测中心;3.安徽省大气探测技术保障中心

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P412.13

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Analysis of Daily Variation and Influencing Factors of E601B Evaporation in Southwestern Anhui Region
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1.Anqing Meteorological Bureau;2.CMA Meteorological Observation Center;3.Anhui Meteorological Observation Technical Center

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    摘要:

    研究温度对气象站蒸发量观测的影响对气候变化研究以及干旱气象灾害评估有重要意义。安庆气象站自动站小时蒸发与气温等要素2017年4—11月平均值的日变化特征分析表明:自动站小时蒸发与气温日变化特征相似,均呈现一高一低的型态,自动站小时蒸发的极值出现时间较气温晚3 h;通过对安庆气象站蒸发水体温度观测试验研究:日出后E601B型蒸发桶内水体温度升高,体积增大,加之业务软件自动蒸发算法设计的影响,导致晴好天气小时蒸发量测量值上午偏小,下午到晚上偏大,根据2次升温天气资料分析,日蒸发量测量结果偏小7~26%,2次系统性降温过程日蒸发量测量结果偏大15~19%;皖西南地区安庆、太湖气象站自动站小时蒸发与相关气象要素完全相关性分析表明:影响小时蒸发量变化主要是热力因子,10~20 cm浅层地温对小时蒸发量影响最为显著,15 cm地温与小时蒸发量相关性最显著。

    Abstract:

    Studying the impact of temperature on evaporation observations at meteorological stations is of great significance for climate change research and the assessment of meteorological drought disasters. An analysis of the diurnal variation characteristics of hourly evaporation and temperature data from the Anqing Meteorological Station's automatic station from April to November 2017 shows that the diurnal variation patterns of hourly evaporation and temperature are similar, both exhibiting a high-low trend, with the peak hourly evaporation occurring 3 hours later than that of temperature. Through experimental research on water temperature in evaporation measurements at the Anqing Meteorological Station, it was found that after sunrise, the water temperature in the E601B evaporation pan rises, leading to an increase in volume. Combined with the influence of the operational software's automatic evaporation algorithm, this results in smaller measured hourly evaporation values in the morning and larger values from afternoon to evening on clear days. Analysis of data from two warming weather events showed that daily evaporation measurements were underestimated by 7~26%, while measurements from two systematic cooling processes were overestimated by 15~19%. A comprehensive correlation analysis of hourly evaporation and related meteorological factors at the Anqing and Taihu automatic stations in southwestern Anhui indicates that thermal factors are the primary drivers of hourly evaporation variation. Shallow ground temperatures at 10–20 cm have the most significant impact on hourly evaporation, with the 15 cm ground temperature showing the strongest correlation with hourly evaporation.

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  • 收稿日期:2025-04-28
  • 最后修改日期:2025-07-13
  • 录用日期:2025-07-13
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