霍文,胡顺起,智协飞,杨帆,杨兴华,周成龙,买买提艾力•买买提依明,潘红林. 2019. 人工绿地与自然沙地蒸散发的计算与变异研究[J]. 气象学报, (0):-, doi:10.11676/qxxb2019.047
人工绿地与自然沙地蒸散发的计算与变异研究
The variation study on calculation of evapotranspiration between constructed green land and natural sandy land
投稿时间:2018-08-14  修订日期:2019-01-28
DOI:10.11676/qxxb2019.047
中文关键词:  塔克拉玛干沙漠,人工绿地,自然沙地,蒸散发
英文关键词:Taklimakan desert,Constructed greenland,Natural sandy land,Evapotranspiration
基金项目:国家自然科学基金项目(41575008;41775030;41305107)、新疆高层次人才引进项目(2018)
作者单位E-mail
霍文 中国气象局乌鲁木齐沙漠气象研究所 huowenpet@idm.cn 
胡顺起 临沂市气象局 hushunqi215@163.com 
智协飞 南京信息工程大学气象灾害预报预警与评估协同创新中心 zhi@nuist.edu.cn 
杨帆 中国气象局乌鲁木齐沙漠气象研究所 yangfan309@yeah.net 
杨兴华 中国气象局乌鲁木齐沙漠气象研究所 yangxh@idm.cn 
周成龙 中国气象局乌鲁木齐沙漠气象研究所 zclidm@163.com 
买买提艾力•买买提依明 中国气象局乌鲁木齐沙漠气象研究所 ali@idm.cn 
潘红林 中国气象局乌鲁木齐沙漠气象研究所 honglinpan@126.com 
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中文摘要:
      [资料]利用中国气象局塔克拉玛干沙漠气象野外科学试验基地2014-2015年自然沙地与人工绿地加密观测试验时次数据,采用GBT 20481-2006 气象干旱等级的蒸散发的算法,[目的]详细计算自然沙地、人工绿地以时次为单位的蒸散发量值。[方法]计算过程中采用多种参数算法,增加了观测数据的利用率,提高了计算精度,并尝试通过影响因子的变量赋值研究,量化蒸散发的计算增减。[结果]结果表明:1)自然沙地与人工绿地蒸散发计算值都较好地刻画出了蒸散发年内变化,自然沙地计算值量级更贴近实际观测值,这与蒸散发计算方法适用性有关。2)人工绿地蒸散发计算值在植被生长季与观测值的差值较大,自然沙地与观测值的差值较小;在冷季人工绿地蒸散发计算值与观测值接近,自然沙地与观测值的差值相对较大。3)饱和水汽压与实际水汽压之差、2m平均温度、2m平均风速、饱和水汽压的斜率是计算蒸散发主要的影响因子,其中饱和水汽压与实际水汽压之差和2m平均风速随着赋值递增,蒸散发差值百分比与年累计值呈线性增长。2m平均温度随着赋值递增,蒸散发差值百分比与年累计值表现比较稳定,饱和水汽压的斜率随着赋值递增,蒸散发差值百分比与年累计值略有递减。[结论]因此,GBT 20481-2006 气象干旱等级的蒸散发算法在塔克拉玛干沙漠的适用性较好,人工绿地比自然沙地计算精度更高。
英文摘要:
      Evapotranspiration is not only a key variable of the water cycle, but also an important component of the energy balance. Consequently, the evapotranspiration estimation between natural sandy land (NSL) and constructed green land (CGL) in the desert region has the pivotal impact on desert meteorology and energy transmission. Moreover, the associated research results can cause enormously applicable values like preventing desertification and the reasonable utilization of groundwater resources in the desert domain. In this paper, we utilized the intensive observationsof NSL and CGL from Taklimakan Desert Meteorology Field Experiment Station of CMA during the period of 2004-2005, and conducted the evapotranspiration algorithm of GBT 20481-1006 dry gradetoaccurately calculatethe hourly evapotranspiration values between NSL and CGL. In addition, the conducted algorithmapplythe different parameters, which enhanced the utilization rate of the observations and the precision of the calculation to a large extent. Further, we performed the quantification of the increment and decrement of the evapotranspiration calculation based on the assignment research of the impacting factor variables. The main results are as follows: 1. The calculation values of the evapotranspiration between NSL and CGL could better reflect the annual variation of evapotranspiration. As for the changing trend, the CGLwas better than the NSL, which is related to the adaptability of the calculation methods. 2. During the growing season of vegetation, the difference between the calculated and observed evapotranspiration of CGLwas larger than that of the NSL. However, during the cold season, with the opposite results.. 3. The difference between the saturation vapor pressure and the actual vapor pressure, 2 m mean air temperature, 2 m mean wind speed and the slope of saturation vapor pressure were the main impacting factors of the evapotranspiration calculation, in which the differences between the saturation vapor pressure and the actual vapor pressure as well as the 2 m mean wind speedincreased as the assignment, and the percentage of the evapotranspiration difference (PED) and its annual cumulative value (ACV) presented the linear increment.Meanwhile,the 2 m mean air temperature also increased with the assignment, and the factors of PED and ACV keptsteady. Likewise, as the assignment increased, the slope of saturation vapor pressure and two variables (i.e., PED and ACV)showed the upward tendency and decrease slightly, respectively. Therefore, the evapotranspiration algorithm of GBT 20481-2006 classification of meteorological drought has better applicability in Taklimakan desert, and the calculation accuracy of artificial green space is higher than natural sandy land.
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