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101.
The upper crustal (20 km)P-wave velocity beneath the Shillong Plateau and Nowgong area has been studied by the time-distance plot method. TheP-arrival data of the shallow (20 km) microearthquakes from three temporary networks are used, and the average velocity is found to be 5.55 km/s. The velocity ratio (V
p
/V
s
) for the upper crust (0–20 km) as well as for the lower crust (21–40 km) are determined by the Wadati-plot method and station-by-station method. The average value obtained by the two methods is compatible; theV
p
/V
s
ranges between 1.74 to 1.76. A generalized seismic velocity model of the area is suggested by this study, which has been very useful for microearthquake location. 相似文献
102.
A new version of the USLE‐MM for predicting bare plot soil loss at the Sparacia (South Italy) experimental site 下载免费PDF全文
Improving empirical prediction of plot soil erosion at the event temporal scale has both scientific and practical importance. In this investigation, 492 runoff and soil loss data from plots of different lengths, λ (11 ≤ λ ≤ 44 m), and steepness, s (14.9 ≤ s ≤ 26.0%), established at the Sparacia experimental station, in Sicily, South Italy, were used to derive a new version of Universal Soil Loss Equation (USLE)‐MM model, by only assuming a value of one for the topographic length, L, and steepness, S, factors for λ = 22 m and s = 9%, respectively. An erosivity index equal to (QREI30)b1, QR and EI30 being the runoff coefficient and the event rainfall erosivity index, respectively, with b1 > 1 was found to be an appropriate choice for the Sparacia area. The specifically developed functions for L and S did not differ appreciably from other, more widely accepted relationships (maximum differences by a factor of 1.22 for L and 1.09 for S). The new version of the USLE‐MM performed particularly well for highly erosive events, because predicted soil loss differed by not more than a factor of 1.19 from the measured soil loss for measured values of more than 100 Mg ha?1. The choice of the relationships to predict topographic effects on plot soil loss should not represent a point of particular concern in the application of the USLE‐MM in other environments. However, tests of the empirical approach should be carried out in other experimental areas in an attempt to develop analytical tools, usable at the event temporal scale, reasonably simple and of wide validity. Copyright © 2015 John Wiley & Sons, Ltd. 相似文献
103.
The curve number method is a simple one parameter (the curve number) rainfall runoff model. While its theoretical underpinning has been questioned it remains a powerful hydrological tool in the absence of detailed data and is therefore used extensively in hydrological models. This study aims to characterize the variation in maximum retention values (S), which underlie curve numbers, for a range of agricultural treatments across a large spatial area in New South Wales (NSW), Australia. The data used for the analysis spans several decades of rainfall runoff observations. A range of different derivation methods result in variation in mean and variance of S. In particular, methods that emphasize the larger storms result in greater S and thus lower runoff. For larger spatial scales, emphasis on larger storms gives more reliable estimates of S. Systematic variation in S arises from variations in treatment, pre‐runoff soil moisture, rainfall depth, and variations in cover. On the basis of the analysis, a table of curve number values for different land uses found in NSW is presented. The resulting distributions of S and curve numbers provide guidance for rainfall runoff modelling studies in the agricultural important areas of NSW. Copyright © 2011 John Wiley & Sons, Ltd. 相似文献
104.
墙体、窗户等单元构件是建筑物重要组成部分,精细提取其几何参数及位置信息对于完整表达建筑物整体模型具有重要意义。针对单一点云数据源无法获取建筑物单元构件相关参数并完整表达室内外模型重建问题,本文提出一整套融合室内外多源点云数据的BIM模型重建技术。为验证方法的有效性,选取河南理工大学测绘与国土信息工程学院教学楼为实验区域,室内外数据采集时间为2019年5月。在对实验区域机载、车载和地面点云数据进行预处理的基础上,分别选取各点集共轭特征点,以高精度的地面点云为基准,将机载和车载点云融合到地面点云。为提高后期模型重建精度及处理效率,以点云间最小空间距离的方式剔除重叠区域冗余数据。对建筑物进行整体平面与立面剖切,将剖切面在CAD中进行跟踪绘制二维线划图,将二维线划图导入Revit软件中绘制轴网与标高,并利用提取到的墙体几何参数编辑墙体族类型进行BIM模型重建。根据提取到的窗户几何参数统计其类型并编辑窗户族,将其归为有规律性和无规律性两类,有规律性窗户单元找出其重复性规律及位置控制参数,无规律性窗户单元逐个放置,二者结合优化BIM模型。为验证模型重建精度,选取建筑物代表性立面,以人工实测立面边长为参照,将由点云数据提取到的相对应立面边长及模型边长与之对比分析,其误差集中分布在0.0~0.2 m之间,存在0.2 m以上误差,但大部分在0.3 m以下。实验结果证明了该方法的准确性。 相似文献
105.
四川盆地东北部二叠系层序发育的动力学分析 总被引:1,自引:1,他引:0
运用可容空间分析法,在野外剖面岩性、岩相厚度和旋回变化分析的基础上,对川东北地区宣汉县渡口镇羊鼓洞二叠系剖面的旋回层序进行研究,识别出3种类型5种亚类型的高频旋回层序类型,并将剖面中栖霞组、茅口组以及吴家坪组下部划分为118个高频旋回层序。根据测井曲线的旋回变化,将普光4井的长兴组划分出49个高频旋回层序,据此运用Fischer图解绘制了二叠系可容空间变化曲线。将可容空间变化曲线与相对海平面升降曲线之间进行对比发现,二者之间存在着良好的对应关系。采测井曲线的频谱分析,对研究区长兴组进行了米兰科维奇沉积周期进行研究,结果表明:长兴组中广泛地保存着124,44.89,35.11,21.16和17.72ka的米兰科维奇沉积周期;地层中的沉积旋回主要受古气候变化的控制,偏心率、地轴倾角和岁差周期引起的地层旋回厚度变化范围分别为:12.47—13.74m,3.56—5.21m,1.78—2.41m,其中受偏心率周期的影响最大。在构造活动相对较弱的川东北二叠系中,层序发育的动力学因素主要为相对海平面的变化和气候变化两个方面。相对海平面的变化主要是三级层序的控制因素,而气候变化则是高频层序旋回的主要动力。 相似文献
106.
107.
108.
Strategies for erosion control on a railway embankment batter (side slope) are quantitatively evaluated in this paper. The strategies were centred on control (‘do nothing’ treatment), grass seeding, gypsum application, jute mat (an erosion control blanket) placement and planting hedgerows of Monto vetiver grass. Rainfall and runoff were monitored at 1 min intervals on 10 m wide embankment batter plots during 1998 and 1999. Total bedload and suspended sediment eroded from the plots were also measured but only for a group of storm events within sampling intervals. It has been demonstrated that vetiver grass is not cost‐effective in controlling erosion on railway batters within Central Queensland region. Seeding alone could cause 60% reduction in the erosion rate compared with the control treatment. Applying gypsum to the calcium‐deficient soil before seeding yielded an additional 25% reduction in the erosion rate. This is the result, primarily, of 100% grass cover establishment within seven months of sowing. Therefore, for railway embankment batter erosion control, the emphasis needs to be on rapid establishment of 100% grass cover. For rapid establishment of grass cover, irrigation is necessary during the initial stages of growth as the rainfall is unpredictable and the potential evaporation exceeds rainfall in the study region. The risk of seeds and fertilizers being washed out by short‐duration and high‐intensity rainfall events during the establishment phase may be reduced by the use of erosion control blankets on sections of the batters. Accidental burning of grasses on some plots caused serious erosion problems, resulting in very slow recovery of grass growth. It is therefore recommended that controlled burning of grasses on railway batters should be avoided to protect batters from being exposed to severe erosion. Copyright © 2001 John Wiley & Sons, Ltd. 相似文献
109.
110.
Comparing theoretically supported rainfall‐runoff erosivity factors at the Sparacia (South Italy) experimental site 下载免费PDF全文
Interpreting rainfall‐runoff erosivity by a process‐oriented scheme allows to conjugate the physical approach to soil loss estimate with the empirical one. Including the effect of runoff in the model permits to distinguish between detachment and transport in the soil erosion process. In this paper, at first, a general definition of the rainfall‐runoff erosivity factor REFe including the power of both event runoff coefficient QR and event rainfall erosivity index EI30 of the Universal Soil Loss Equation (USLE) is proposed. The REFe factor is applicable to all USLE‐based models (USLE, Modified USLE [USLE‐M] and Modified USLE‐M [USLE‐MM]) and it allows to distinguish between purely empirical models (e.g., Modified USLE‐M [USLE‐MM]) and those supported by applying theoretical dimensional analysis and self‐similarity to Wischmeier and Smith scheme. This last model category includes USLE, USLE‐M, and a new model, named USLE‐M based (USLE‐MB), that uses a rainfall‐runoff erosivity factor in which a power of runoff coefficient multiplies EI30. Using the database of Sparacia experimental site, the USLE‐MB is parameterized and a comparison with soil loss data is carried out. The developed analysis shows that USLE‐MB (characterized by a Nash–Sutcliffe Efficiency Index NSEI equal to 0.73 and a root mean square error RMSE = 11.7 Mg ha?1) has very similar soil loss estimate performances as compared with the USLE‐M (NSEI = 0.72 and RMSE = 12.0 Mg ha?1). However, the USLE‐MB yields a maximum discrepancy factor between predicted and measured soil loss values (176) that is much lower than that of USLE‐M (291). In conclusion, the USLE‐MB should be preferred in the context of theoretically supported USLE type models. 相似文献