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Reference (Potential) Evapotranspiration. Ⅱ: Frequency Distribution in Humid, Subhumid, Arid, Semiarid, and Mediterranean-Type Climates

机译:参考(潜在)蒸散量。 Ⅱ:潮湿,半湿润,干旱,半干旱和地中海型气候的频率分布

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摘要

While evapotranspiration (ET) has been a subject of research for decades, there is insufficient data, analyses and information on frequency (probability) values and distribution of this important variable for various climatic regions. Frequency distributions of grass-reference and alfalfa-reference (potential) evapotranspiration (ET_o and ET_r) were quantified and analyzed using long-term measured climate datasets for five locations in the United States that have significantly different climatic characteristics [Mediterranean-type climate, Davis, CA (ET_o); arid, Phoenix, AZ (ET_o); humid/subtropical, Gainesville, FL (ET_o); a transition zone between subhumid and semiarid climate, Clay Center, NE (ET_r); and a semiarid climate, Scottsbluff, NE (ET_r)]. Two Nebraska locations presented higher variability of ET_(ref) among all locations because of their highly turbulent climatic characteristics with abrupt changes in wind speed, humidity and air temperature. At Davis, the peak ET_o month is July with an average of 7.01 ± 1.33 mm/d. During this time, the probability of ET_o was between 6 and 8 mm/d with 78% of probability of occurrence. The peak ET_o month in Phoenix is June with a long-term average of 7.37 ± 1.26 mm/d. During this time, there is a 51 % probability of ET_o being between 7 and 8 mm/d, with a 94% of probability if the range is expanded to 6 and 9 mm/d. For the months with higher precipitation, ET_(ref) exhibited more variability atributbale to the erratic rain intensity and frequency (July and August ET_o estimates present a standard deviation of 1.45 and 1.58 mm/d, respectively). This rainy season produces high ET_o variation. ET_o frequency curve in Gainesville had more gradual increase and decrease with much smother fluctuations between the months than any other location. Unlike other locations, there is not a clear peak ET_o month in Gainesville; May has the highest long-term average ET_o (4.6 ±1.18 mm/d), but June and July averages present less than 0.4 mm/d of difference than May. For May, the probability of ET_o being between 4 and 5 mm/d is 44%. For April and June, the probability of this occurrence is 47 and 34%, respectively. The peak ET_r month at Clay Center is June with a long-term average of 7.20 ± 1.89 mm/d. The standard deviation of ET_r at Clay Center throughout most of the year is higher than those in other locations with the highest values from April to June. ET_r estimations in the peak month (June) are between 7 and 8 mm/d with a probability of occurrence of 18.7%. The peak ET_r month in Scottsbluff is July (7.78 ± 1.41 mm/d). During this month, the most likely occurrence in ET_r is between 7 and 8 mm/d with a probability of 25%; if the ET_r range is expanded from 6 to 8 mm/d, the probability of this ET_r range increases to 49%. If another 1 mm is added to the frequency interval, the probability would increase to 63%, showing the substantial variability of ET_r in this location as a function of abrupt climatic patterns. The ET_o and ET_r frequency distribution data and information presented in this study are among the first datasets for various climatic conditions and can be invaluable for water resources and planning and allocation, irrigation management as well as designing irrigation systems and other water resources-related infrastructures.
机译:尽管蒸散发(ET)一直是数十年来的研究课题,但有关各种气候区域的频率(概率)值和该重要变量的分布的数据,分析和信息不足。使用长期测量的气候数据集,对美国五个具有明显不同气候特征的位置的气候数据进行了定量分析,以分析草参考量和苜蓿参考(潜在)蒸散量(ET_o和ET_r)的频率分布[地中海型气候,戴维斯,CA(ET_o);亚利桑那州凤凰城干旱(ET_o);潮湿/亚热带,盖恩斯维尔,FL(ET_o);内华达州克莱中心(ET_r),介于半湿润和半干旱气候之间的过渡区;半干旱气候,斯科茨布拉夫,NE(ET_r)]。内布拉斯加州的两个地点在所有地点之间都表现出较高的ET_(ref)变异性,这是因为它们的高度动荡的气候特征以及风速,湿度和气温的突然变化。在戴维斯,ET_o的峰值月份为七月,平均为7.01±1.33 mm / d。在这段时间内,ET_o的概率在6至8 mm / d之间,发生概率为78%。凤凰城的ET_o高峰月份为六月,长期平均为7.37±1.26 mm / d。在此期间,ET_o介于7和8 mm / d之间的概率为51%,如果范围扩展到6和9 mm / d,则概率为94%。在降水较高的月份中,ET_(ref)表现出更多的变化,归因于不稳定的降雨强度和频率(7月和8月ET_o估计分别表示标准差1.45和1.58 mm / d)。这个雨季产生较高的ET_o变化。与其他任何位置相比,盖恩斯维尔的ET_o频率曲线在两个月之间有较大的起伏波动,并且有更多的逐渐增加和减少。与其他地区不同,盖恩斯维尔没有明显的ET_o高峰; 5月的长期平均ET_o最高(4.6±1.18 mm / d),但是6月和7月的平均水平与5月相比,相差不到0.4 mm / d。对于5月,ET_o在4到5 mm / d之间的概率为44%。对于4月和6月,发生此事件的可能性分别为47%和34%。粘土中心的ET_r高峰月份为六月,长期平均为7.20±1.89 mm / d。在一年中的大部分时间里,粘土中心的ET_r的标准偏差都高于其他地区,该水平在4月到6月之间是最​​高的。高峰月份(6月)的ET_r估计在7至8 mm / d之间,发生概率为18.7%。斯科茨布拉夫的ET_r高峰月份为7月(7.78±1.41 mm / d)。在这个月中,ET_r最有可能发生在7至8 mm / d之间,概率为25%。如果ET_r范围从6 mm / d扩展到8 mm / d,则该ET_r范围的可能性增加到49%。如果在频率间隔上再加上1 mm,则该概率将增加到63%,这表明ET_r在此位置的实际变化与突然的气候模式有关。这项研究中提供的ET_o和ET_r频率分布数据和信息是针对各种气候条件的首批数据集,对于水资源和规划与分配,灌溉管理以及设计灌溉系统和其他与水资源相关的基础设施而言,具有不可估量的价值。

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  • 来源
    《Journal of irrigation and drainage engineering》 |2016年第4期|04015066.1-04015066.11|共11页
  • 作者单位

    Dept. of Biological Systems Engineering, Univ. of Nebraska-Lincoln, 239 L.W. Chase Hall, Lincoln, NE 68583;

    Dept. of Biological Systems Engineering, Univ. of Nebraska-Lincoln, Lincoln, NE 68583;

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