极低风速条件下水-气界面甲烷气体传输速率分析

薄边界层理论被广为用来计算水-气界面气体通量,而气体传输速率(k600)则是其中的关键性环境因子.为了研究极低风速下小型浅水湿地水-气界面甲烷气体传输速率,以宜昌饮用水水库梅子垭水库和周邻5个富营养化池塘为研究对象,采用静态通量箱进行了为期一年的水-气界面甲烷气体通量观测,同步监测了水环境因子和气象因子.野外监测时的风速(U10)范围为0~0.75 m·s~(-1),平均值约为0.19 m·s~(-1);水温(Tw)变化范围为6.3~30.9℃,平均值约为19.3℃.结果表明,梅子垭水库和周边5个池塘水-气界面甲烷气体传输速率较小,在0.20~1.99 cm·h~(-1)之间变化,平均值约为0.50 cm·h~(-1).本研究利用表层水温和风速指标两个参数的双二次项模型和二次项加幂函数模型,回归得到了气体传输速率的数学公式,回归结果与原始数据和对k600进行深度平均(bin-averaged)后的数据均存在极显著性关系.     

防风抑尘网设计要点及参数的确定

介绍了堆场起尘、防风抑尘网抑尘的机理和国内外防风抑尘网研究结果,结合实际工程设计的经验,分析了防风抑尘网设计要点和主要参数,提出防风抑尘网设计的意见和建议。     

露天堆场防风抑尘网遮蔽效果的数值模拟

应用Fluent6.3标准k-ε方程对露天堆场周围空气流场进行数值模拟;计算来流风速6 m/s工况下,孔隙率为0、0.2、0.3、0.4、0.6、1时,抑尘网及料堆前后不同断面处风速的垂直分布及不同高度空气压力系数分布。结果表明,抑尘网网前1倍网高范围内,风速廓线受抑尘网影响显著,风速较无网工况最大降幅62.9%,且风速降幅随孔隙率增大而减小;抑尘网和料堆间区域,风速沿垂直高度非单调一致变化,30 m以下风速较无网工况小,30 m以上较无网工况大;堆后2倍堆高范围内,12 m高度以下处于回流区,风速较无网工况时大,12 m以上处于主流区,风速较无网工况时小;堆后3倍堆高距离外,各孔隙率风速廓线与无网工况一致。压力系数分布显示:网前3倍网高 (66 m)至堆后3倍堆高 (51 m)间压力系数变化显著,尤其在抑尘网处压力系数梯度大;孔隙率小于0.3时,迎风面负压最大,孔隙率大于0.4时,冠顶负压最大,至孔隙率为0.6时,料堆高度压力系数分布与无网工况一致。综合风速衰减和压力系数分布,孔隙率为0.2~0.4时,抑尘网遮蔽效果最佳。     

MEASURED AND PREDICTED VELOCITY AND LONGITUDINAL DISPERSION AT STEAI)Y AND UNSTEADY FLOW,COLORADO RIVER,GLEN CANYON DAM TO LAKE MEAD1

ABSTRACT: The effect of unsteadiness of dam releases on velocity and longitudinal dispersion of flow was evaluated by injecting a fluorescent dye into the Colorado River below Glen Canyon Dam and sampling for dye concentration at selected sites downstream. Measurements of a 26-kilometer reach of Glen Canyon, just below Glen Canyon Dam, were made at nearly steady dam releases of 139, 425, and 651 cubic meters per second. Measurements of a 380-kilometer reach of Grand Canyon were made at steady releases of 425 cubic meters per second and at unsteady releases with a daily mean of about 425 cubic meters per second. In Glen Canyon, average flow velocity through the study reach increased directly with discharge, but dispersion was greatest at the lowest of the three flows measured. In Grand Canyon, average flow velocity varied slightly from subreach to subreach at both steady and unsteady flow but was not significantly different at steady and unsteady flow over the entire study reach. Also, longitudinal dispersion was not significantly different during steady and unsteady flow. Long tails on the time-concentration curves at a site, characteristic of most rivers but not predicted by the one-dimensional theory, were not found in this study. Absence of tails on the curves shows that, at the measured flows, the eddies that are characteristic of the Grand Canyon reach do not trap water for a significant length of time. Data from the measurements were used to calibrate a one-dimensional flow model and a solute-transport model. The combined set of calibrated flow and solute-transport models was then used to predict velocity and dispersion at potential dam-release patterns.     

ANALYSIS OF WIND- AND SHIP-INDUCED SEDIMENT RESUSPENSION IN DULUTH-SUPERIOR HARBOR1

ABSTRACT: Suspended solids and ammonium concentration profiles measured at five locations in Duluth-Superior Harbor during July-October 1985 were analyzed to quantify wind and ship effects on sediment resuspension and resulting harbor water quality. Wind components from the SE quadrant correlated strongly with depth-averaged suspended solids concentrations that were unaffected by ship passage or thermal stratification. Winds from that quadrant have the largest fetch in the harbor. The highest correlation (r²= 0.93) was with the 6-hour average of the ESE wind velocity component. Multiple linear regression analysis of data from post-ship passage concentration profiles yielded numerical estimates of settling velocities of 0.08 to 0.25 cm s^?1, typical of ship-resuspended sediments, and vertical eddy diffusivities of 4 to 13 cm² s¹. The results suggest that ambient vertical eddy diffusivities in the harbor are less than 4 cm² s^?1 in the absence of ship passages and with winds less than 5 m s^?1 (10 knots).     

DOWNSTREAM CHANNEL GEOMETRY FOR USE IN PLANNING-LEVEL MODELS1

ABSTRACT: There is considerable potential for use of channel dimension data in planning-level models for resource and impact assessment. The channel dimension data is used to route flows and sediment through the basin. The cost of obtaining actual surveyed data for large watersheds is typically prohibitive. Predictive equations have been developed based on 674 stations from watersheds across the United States which encompass a wide variety of channel types and sizes. These equations were tested against an independent data set and found to be adequate for use in planning-level models. Future research is advocated which would include data from regions and stream types not included in this study.     

排放源烟道气二噁英空间分布对监测结果的影响

针对生活垃圾焚烧企业烟气排放烟囱6个断面单点采样的试验结果,分析按照《固定污染源排气中颗粒物测定与气态污染物采样方法》(GB/T 16157—1996)多断面点采样与单一固定断面点采样对监测结果的影响。试验表明,烟道气在不同断面点质量浓度分布差异较大,相对于样品实际监测值,各断面点二噁英毒性当量浓度最大正偏差达到+306%,最大负偏差达到-96%,测定的18个断面点样品,只有2个样品与实际样品监测值相近。     

沟谷泥石流运动过程模型试验

泥石流运动过程是泥石流运动力学核心内容之一.以新疆天山公路K630泥石流为原型,选取几何相似比1:650,推导了泥石流质量、固液两相流速和泥石流冲击力相似比,以流通区为核心,建造了沟谷泥石流试验模型.试验结果表明,泥石流运动具有显著的阵流特性,阵流间隔时间为10s左右,其间嵌套2~3次弱阵现象;阵流期间,泥石流流速和冲击力均较大;从流通区的源头至沟口,流速呈现非线性增大趋势,且泥石流体中固液两相流速变化趋势相似,弯道处泥石流超高现象显著;泥石流运动初期由于泥石流体中固相和液相混和搅拌不均匀而呈现稀性泥石流特征,随后粘性特性增强.这些现象与现场观测结果基本一致.     

Dry deposition velocity of total suspended particles and meteorological influence in four locations in Guangzhou, China

Dry deposition velocity of total suspended particles (TSP) is an effective parameter that describes the speed of atmospheric particulate matter deposit to the natural surface. It is also an important indicator to the capacity of atmosphere self-depuration. However, the spatial and temporal variations in dry deposition velocity of TSP at different urban landscapes and the relationship between dry deposition velocity and the meteorological parameters are subject to large uncertainties. We concurrently investigated this relationship at four different landscapes of Guangzhou, from October to December of 2009. The result of the average dry deposition velocity is (1.49 ± 0.77), (1.44 ± 0.77), (1.13 ± 0.53) and (1.82 ± 0.82) cm/sec for urban commercial landscape, urban forest landscape, urban residential landscape and country landscape, respectively. This spatial variation can be explained by the difference of both particle size composition of TSP and meteorological parameters of sampling sites. Dry deposition velocity of TSP has a positive correlation with wind speed, and a negative correlation with temperature and relative humidity. Wind speed is the strongest factor that affects the magnitude of TSP dry deposition velocity, and the temperature is another considerable strong meteorological factor.We also find out that the relative humidity brings less impact, especially during the dry season. It is thus implied that the current global warming and urban heat island effect may lead to correlative changes in TSP dry deposition velocity, especially in the urban areas.