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绿洲灌溉对垂直湍流热通量影响的大涡模拟研究
引用本文:曹帮军,吕世华,张宇,李彦霖. 绿洲灌溉对垂直湍流热通量影响的大涡模拟研究[J]. 大气科学, 2020, 44(6): 1188-1202. DOI: 10.3878/j.issn.1006-9895.1912.19163
作者姓名:曹帮军  吕世华  张宇  李彦霖
作者单位:1.成都信息工程大学大气科学学院,成都 610225
基金项目:国家重点研发计划项目2018YFC1505702,四川省科技厅应用基础研究自由探索项目2019YJ0408,中国气象局沙漠气象科学研究基金项目Sqj2018006,成都信息工程大学引进人才启动基金项目KYTZ201810
摘    要:为了研究湍涡对中尺度绿洲灌溉的响应,利用WRF模式大涡模拟模块(WRF-LES)在西北半干旱区绿洲区开展灌溉前和灌溉后两个大涡模拟试验(分别简称为BI和AI),其中灌溉可能会改变绿洲非均匀强度。利用面积平均的办法计算湍流热通量并利用小波分析将湍流热通量模态分解到不同的尺度。结果表明灌溉增加了土壤湿度,引起绿洲内部非均匀强度增加,灌溉对垂直热通量以及通量频散都有较大影响。AI中的湍涡为网状,与BI中一致。AI与BI中的感热通量的频散高度都随着感热通量的减小而减小。AI与BI中感热通量小波能量谱尺度一致,但是BI中强度比AI小。潜热通量的频散高度依赖于感热通量,且潜热通量能量谱随高度减小。空间滞后相关系数的结果表明由于灌溉前地表加热较强,感热通量对地表热通量的响应高度在灌溉之前(BI)比灌溉后(AI)更高。灌溉后的通量模态的飘移距离小于灌溉前的。

关 键 词:绿洲   灌溉   垂直湍流热通量   大涡模拟
收稿时间:2019-05-16

Impact of Irrigation in the Oasis in Northwestern China on Vertical Turbulent Heat Flux Using Large-Eddy Simulation
Affiliation:1.School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu 6102252.Guizhou Meteorological Observatory, Guiyang 550002
Abstract:This study aims to investigate the response of turbulent eddies to mesoscale, heterogeneous, land use change in the oasis in Northwestern China. For this purpose, two experiments were carried out using the WRF-LES model for the experiments before irrigation (BI) and after irrigation (AI), capturing the change of the heterogeneity strength due to irrigation in the oasis. The area-averaged method was used to calculate the area-averaged flux while the wavelet analysis was used to decompose the pattern of surface turbulent heat fluxes into multiscale patterns.The results show that irrigation has an important impact on vertical heat flux, soil moisture, and soil temperature. Irrigation increases the heterogeneity strength, which greatly impacts the dispersion of flux pattern. The dispersion height of sensible heat flux decreases with the decrease in sensible heat flux AI experiment. The shape of turbulent eddies in the AI experiment is reticular, which is similar to that in the BI case, but energy spectra of the sensible heat flux pattern decrease after irrigation. In addition, the dispersion height of latent heat flux depends on sensible heat flux, and energy spectra of latent heat flux pattern decrease in AI experiment. Regarding the results related to the spatial lag correlation coefficient, the height of the response of the vertical heat flux to the surface flux in BI is higher than the one in AI. The shift distance in AI is shorter than that in BI. Strong surface heating leads to large correlation coefficients and strong entrainment at the top of convective boundary layer.
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