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101.
波浪破碎过程产生的湍流动量和能量垂向输运对于加快海洋上混合层中垂向混合具有显著效果。采用二维实验室水槽中对波浪破碎过程进行模拟。对采集的波浪振幅时间序列采用希尔伯特变换定位破碎波位置,波浪的破碎率随有效波高的增加而增大,波浪谱分析得到的波浪基本周期与有效周期结果相似。实验中采用粒子图像测速技术(particle image velocimetry, PIV)计算波浪破碎过程中湍动能耗散率的空间分布。湍流强度与波浪的相位密切相关,波峰位置处湍流活动最为剧烈,而且波峰位置处湍流混合区内湍动能耗散率量值的垂向分布基本保持不变,即出现"湍流饱和"现象,湍流影响深度可以达到波高的70%—90%。计算湍流扩散系数的垂向分布发现,湍流扩散在混合区上部随深度的增大以指数函数的形式增加,在混合区下部趋于稳定。作为对比,在相同位置处对声学多普勒流速测量仪(acoustic Doppler velocimeter, ADV)测量的单点流速做频谱分析,发现与该位置处PIV湍动能耗散率结果量级处于同一水平,进一步验证了实验结果的准确性。  相似文献   
102.
The relatively high cost of commercially available raindrop spectrometers and disdrometers has inhibited detailed and intensive research on drop size distribution, kinetic energy and momentum of rainfall which are important for understanding and modelling soil erosion caused by raindrop detachment. In this study, an approach to find the drop size distribution, momentum and kinetic energy of rainfall using a relatively inexpensive device that uses a piezoelectric force transducer for sensing raindrop impact response is introduced. The instrument continuously and automatically records, on a time‐scale, the amplitude of electrical pulses produced by the impact of raindrops on the surface of the transducer. The size distribution of the raindrops and their respective kinetic energy are calculated by analysing the number and amplitude of pulses recorded, and from the measured volume of total rainfall using a calibration curve. Simultaneous measurements of the instrument, a rain gauge and a dye‐stain method were used to assess the performance of the instrument. Test results from natural and simulated rainfalls are presented. Copyright © 2000 John Wiley & Sons, Ltd.  相似文献   
103.
Soil loss caused by erosion has enormous economic and social impacts. Splash effects of rainfall are an important driver of erosion processes; however, effects of vegetation on splash erosion are still not fully understood. Splash erosion processes under vegetation are investigated by means of throughfall kinetic energy (TKE). Previous studies on TKE utilized a heterogeneous set of plant and canopy parameters to assess vegetation's influence on erosion by rain splash but remained on individual plant- or plot-levels. In the present study we developed a method for the area-wide estimation of the influence of vegetation on TKE using remote sensing methods. In a literature review we identified key vegetation variables influencing splash erosion and developed a conceptual model to describe the interaction of vegetation and raindrops. Our model considers both amplifying and protecting effect of vegetation layers according to their height above the ground and aggregates them into a new indicator: the Vegetation Splash Factor (VSF). It is based on the proportional contribution of drips per layer, which can be calculated via the vegetation cover profile from airborne LiDAR datasets. In a case study, we calculated the VSF using a LiDAR dataset for La Campana National Park in central Chile. The studied catchment comprises a heterogeneous mosaic of vegetation layer combinations and types and is hence well suited to test the approach. We calculated a VSF map showing the relation between vegetation structure and its expected influence on TKE. Mean VSF was 1.42, indicating amplifying overall effect of vegetation on TKE that was present in 81% of the area. Values below 1 indicating a protective effect were calculated for 19% of the area. For future work, we recommend refining the weighting factor by calibration to local conditions using field-reference data and comparing the VSF with TKE field measurements. © 2020 The Authors. Earth Surface Processes and Landforms published by John Wiley & Sons Ltd  相似文献   
104.
藏南羊卓雍错湖面大气湍流特征观测分析   总被引:2,自引:1,他引:1  
沈鹏珂  张雪芹 《湖泊科学》2019,31(1):243-255
湍流运动是大气边界层的本质特征,是地表与大气之间能量和物质交换的主要方式.本文利用2016和2017年4-10月藏南羊卓雍错湖泊涡动观测资料,分析了湖面大气湍流方差和湍流特征量的统计和变化特征.结果表明:(1)不稳定层结下,三维风速分量和超声虚温、水汽密度、CO2密度的无量纲标准差随稳定度变化符合Monin-Obukhov相似理论的"1/3"或"-1/3"次幂律,垂直风速的拟合效果最好;稳定层结下,除CO2密度无量纲标准差与稳定度无明显关系外,其他量基本上满足相似性规律;中性条件下,以上物理量的无量纲标准差分别趋近常数:3.57、3.93、0.77、20.91、6.35和11.96.(2)水平方向平均湍流强度(0.60和0.58)大于垂直方向(0.13),三维方向湍流强度与平均风速的变化呈显著负相关,相关系数分别为-0.39、-0.42和-0.34.(3)湖面湍流动能随风速呈线性增长,增长率达0.45 m/s;近中性层结时湍流动能最大,层结越稳定或不稳定湍流动能均减小.(4)湖泊下午到傍晚动量输送较强,13:00-22:30时间段平均动量通量达0.091 kg/(m·s2);热量输送以潜热为主,潜热通量日平均值(77.3 W/m2)是感热通量(14.6 W/m2)的5.3倍,感热和潜热通量日变化峰值分别出现在5:30(22.4 W/m2)和16:00(106.6 W/m2).  相似文献   
105.
计算了各年南海夏季风建立前后流场的场相似度、场比幅、季风分量动能强度指数和突变度.指出按变差度最大或相似度绝对值最小及其变化最陡以及比幅最小,可客观定量地定出季风来临的预兆日期,在大多年份该日期比用天气气候学方法得到的季风来临(爆发)日期要早些,且两者有较好正相关.绝大多数年份季风建立时有环流突变发生,但也有少数年份呈调和变化或二次突变.季风分量动能强度指数能够反映各年南海夏季风建立后的强度.最后分析指出,南海850hPa夏季风的前兆日期,突变度和强度指数都有明显的年际和年代际变化.  相似文献   
106.
文章利用经验台风风场模型(TCWPM)和美国环境预测中心的气候预测系统再分析风场资料(NCEP/CFSR)对台风“康森(Conson)”进行数值模拟, 并将模拟的台风带入平板模式(slab model)模拟台风产生的海洋近惯性流。对比实测数据表明, 模拟结果与真实风场、近惯性流场均比较一致, 台风“康森”在近海面的风场不对称结构非常明显, 台风中心两侧的速度大小相差可达10m·s-1。台风“康森”在台风中心后方产生强烈的海洋近惯性振荡, 且持续时间超过4d。海洋近惯性动能沿着台风路径呈显著的不对称分布, 表明台风“康森”在共振作用下主要在路径右侧激发强烈的近惯性振荡。研究不同强度的热带气旋产生的海洋近惯性能量, 发现热带风暴产生的海洋近惯性能量较小, 平均近惯性动能不超过35J·m-3。随着气旋强度的增大, 热带气旋激发的近惯性能量呈指数增长, 而台风的影响面积与最大风速半径的变化相对比较一致, 当最大风速半径(R0)增大一半(1.5R0)时, 其产生的最大平均近惯性动能从81J·m-3增大到631J·m-3, 影响面积从大约600km2增加到大于900km2。  相似文献   
107.
108.
Rate coefficients have been measured for the reactions of hydroxyl radicals with five aliphatic ethers over the temperature range 242–328 K. Competitive studies were carried out in an atmospheric flow reactor in which the hydroxyl radicals were generated by the photolysis of methyl nitrite in the presence of air containing nitric oxide. The reaction of OH with 2,3-dimethyl-butane was used as the reference reaction and the following Arrhenius parameters have been obtained for the reactions: OH+RORproducts:
RORE/kJ mol–1 1012 A/cm3 molecule–1 s–1
dethyl ether–2.8±0.43.5±0.6
di-n-propyl ether–1.2±0.611.5±2.7
methylt-butyl ether0.85±0.594.0±1.3
ethyln-butyl ether–1.3±0.58.7±1.7
ethylt-butyl ether–1.2±0.63.0±0.8
  相似文献   
109.
At present, shallow gases have received much attention due to low cost in exploration and production. Low-mature gases, as one significant origin to shallow gas, turns to be an important research topic. The present understanding of low-mature gases is confined within some geological cases, and few laboratory studies have been reported. Therefore, the potential and characters of low- mature gases are not clear up to now. Here, two premature samples (one coal and the other shale) were pyrolyzed in a gold confined system. The gaseous components including hydrocarbon gases and non-hydrocarbon gases were analyzed. Based on kinetic modeling, the formation of low-mature gases was modeled. The results showed that during low mature stage, about 178 mL/gTOC gas was generated from the shale and 100 mL/gTOC from the coal. Two third to three fourth of the generated gases are non-hydrocarbon gases such as H2S and CO2. The total yields of C1-5 for the two samples are almost the same, 30-40 mL/gTOC, but individual gaseous hydrocarbon is different. The shale has much lower C1 but higher C2-5, whereas the coal has higher C1 but lower C2-5. Hydrocarbon gases formed during low-mature stage are very wet. The stable carbon isotope ratios of methane range from -40‰ to -50‰ (PDB), in good consistence with empiric criterion for low-mature gases summed up by the previous researchers. The generation characters suggest that the low-mature gases could be accumulated to form an economic gas reservoir, but most of them occur only as associated gases.  相似文献   
110.
The reaction kinetics of S(IV) autoxidation catalyzed by single metal ions of Mn(II) and Fe(II) or Fe(III) and by a mixture of Mn(II) and Fe(II) under the conditions representative for acidified atmospheric liquid water was investigated. A simple power law kinetic model based on the stability constants for metal-sulfito complexes formed during the first step of a radical chain mechanism predicts well the kinetics for the reactions catalyzed by single metal ions. The calculated stability constants for iron (5.7×103 dm3 mol–1) and manganese (10×104 dm3 mol–1) sulfito complexes are close to those reported in the literature. The catalytic synergism between Mn(II) and Fe(II) was confirmed. For this system the following power law rate equation was suggested:rtot = SFe · rFe + SMn · rMn ,where rFe and rMn are the reaction rates in the presence of Fe(II) and Mn(II), respectively. SFe and SMn are proportional factors, which account for the synergistic effect. The proposed power law rate equation predicts the reaction kinetics very well. The values of SFe (1.35) and SMn (15) indicate that the influence of Fe(II)/Fe(III) on Mn(II)/Mn(III) cycling is larger than, vice versa, agreeing with the reaction mechanism proposed for the S(IV) autoxidation catalyzed by mixed metal ions.  相似文献   
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