详细信息
青藏高原东部拉萨河下游地区大气湍流交换特征研究 被引量:4
Study on the Characteristics of Atmospheric Turbulence Exchange in the Lower Reaches of the Lhasa River in the Eastern Qinghai-Xizang Plateau
文献类型:期刊文献
中文题名:青藏高原东部拉萨河下游地区大气湍流交换特征研究
英文题名:Study on the Characteristics of Atmospheric Turbulence Exchange in the Lower Reaches of the Lhasa River in the Eastern Qinghai-Xizang Plateau
作者:杨斌[1] 袁祺[2] 谭昌海[1] 张功[3] 郑宁[2] 谷良雷[4,5]
第一作者:杨斌
机构:[1]中国地质调查局自然资源综合调查指挥中心,北京100055;[2]中国林业科学研究院林业研究所,北京100091;[3]中山大学大气科学学院,广东珠海519082;[4]中国科学院西北生态环境资源研究院寒旱区陆面过程与气候变化重点实验室,甘肃兰州730000;[5]中国科学院西北生态环境资源研究院那曲高寒气候环境观测研究站,甘肃兰州730000
年份:2022
卷号:41
期号:1
起止页码:204-215
中文期刊名:高原气象
外文期刊名:Plateau Meteorology
收录:CSTPCD;;北大核心:【北大核心2020】;CSCD:【CSCD_E2021_2022】;
基金:中国地质调查局青藏高原自然资源要素综合观测试点项目(DD20208064);第二次青藏高原综合科学考察研究项目(2019QZKK0103);中国科学院战略性先导科技专项(XDA2006010101,XDA20020102);国家重点研发计划项目(2018YFC1505701)。
语种:中文
中文关键词:青藏高原;碳水通量;湍流谱;归一化标准差相似性规律;大气稳定度
外文关键词:Qinghai-Xizang Plateau;carbon and water flux;turbulence spectra;normalized standard deviation similarity law;atmosphere stability
分类号:P404
摘要:地气之间物质和能量随湍流运动进行输送,涡度相关技术是研究地气交换过程和评估大气资源的重要手段,它对湍流特征和精确的通量观测研究具有重要的作用。本研究利用拉萨蔡公堂通量站的闭路涡度相关系统,观测了2020年8-11月青藏高原东部拉萨河下游地区典型高寒草甸下垫面的通量特征,并分析了该区域生长季和非生长季不同大气稳定条件下湍流谱特征和相似性规律。结果表明:(1)生长季时期(8-9月),净生态系统CO_(2)交换(NEE)日均值为-2.3 gC·m^(-2)·d^(-1),蒸散(ET)日均值为1.8 mm·d^(-1),非生长季时期(10-11月),NEE日均值为1.1 gC·m^(-2)·d^(-1),ET日均值为0.3 mm·d^(-1);(2)三维(u,v和w)方向的湍流风速和温度的归一化谱具有明显的惯性副区,谱密度曲线斜率符合-2/3规律,垂直方向(w)湍流风速分别和温度、CO_(2)和H_(2)O等气体浓度的归一化协谱曲线斜率较高于-4/3;(3)生长季和非生长季时期大气稳定度的日变化相似,主要随动量通量的增加而降低,但各方向风速的归一化标准差(σ/u_(*))拟合结果不同,生长季时期,σ_(u)/u_(*)、σ_(v)/u_(*)和σ_(w)/u_(*)分别为2.84、2.73和1.07,非生长季时期三者增加,分别为3.23、3.19和1.22,其非生长季时期水平方向风速归一化标准差增加较明显。利用闭路涡度相关系统可以较好地观测本研究区通量特征,并且分别考虑生长季和非生长季时期湍流风速的相似性规律参数化方案有助于更精确地观测大气资源。
Matter and energy between the land and atmosphere are transported with turbulent movement.Eddy covariance technology is an important way to evaluate atmospheric resources.It plays an important role in turbulence characteristics and accurate flux observation research.In this study,we analyzed the characteristics and similarity of turbulence spectra under different atmosphere conditions in the growing and non-growing seasons using closed-path eddy covariance system of Caigongtang flux station for the underlying surface of the typical grassland in the lower reaches of the Lhasa River in the eastern Qinghai-Xizang Plateau from August to November,2020.The results showed:(1)During the growing season from August to September,the average daily net ecosystem CO_(2) exchange(NEE)was -2.3 gC·m^(-2)·d^(-1),and the average daily ET was 1.8 mm·day^(-1),During the non-growing season from October to November,the average daily NEE was 1.1 gC·m^(-2)·d^(-1),and the average daily ET was 0.3 mm·day^(-1);(2)The normalized spectra of three-dimensional(u,v and w)direction of turbulent wind speed and temperature had obvious sub-regions of inertia,the slope of the spectra density curve conformed to the -2/3 law,and the normalized co-spectra of the vertical direction(w)turbulent wind speed and temperature,CO_(2) and H_(2)O gas concentrations is higher than-4/3 law;(3)The daily variation of atmosphere stability during the growing and non-growing seasons was similar,mainly decreasing with the increase of momentum flux,but the normalized standard deviation(σ/u_(*))fitting results of wind speed in each direction were different.During the growing season,σ_(u)/u_(*),σ_(v)/u_(*),and σ_(w)/u_(*) were 2.84,2.73,and 1.07,respectively.During the nongrowing season,the three increased to 3.23,3.19,and 1.22,respectively.The increase in normalized standard deviation of horizontal wind speed was obvious during the non-growing season,so the parameterization scheme of the similarity law of turbulent wind speed during the growing and non-growing seasons should be considered separately.The closed-path eddy covariance system can better realize the flux observation in this study area,and this conclusion can provide the basis for the land surface parameterization scheme that considers the similarity of the turbulent wind speed during the growing and non-growing seasons,which helps to observe the atmospheric resources more accurately.
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