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41.
通过2006—2010年4个修建人工阶梯-深潭系统的治理山区河流案例,总结其治理效果和最终破坏原因.以单个阶梯为分析对象,给出其受力表达式,建立单个阶梯-深潭的简化稳定性模型,进而分析来流量和冲刷角变化对其稳定性的影响.单个阶梯的稳定性取决于关键石块粒径、河道坡降、流量和冲刷角.洪水期的洪峰流量和阶梯下游冲刷是阶梯破坏的主要原因,上游来流量增加和冲刷角越大,阶梯越易发生破坏.人工阶梯-深潭系统在洪水期的稳定性是其发挥长期治理效果的关键.  相似文献   
42.
卓发成 《地震工程学报》2020,42(4):1035-1042
为了研究盆地基岩倾角对盆地地表动力反应的影响,选取了一个跨度2 km,深度500 m的二维成层盆地为研究对象进行有限元动力反应分析。以持时0.25 s的狄拉克脉冲作为输入地震动,探讨了P波和SV波垂直入射时,盆地基岩倾角从10°\,20°\,30°\,40°依次增加的情况下盆地地震反应。结果表明:入射波在倾斜基岩处发生波型转化,同时产生面波,在盆地中心区域发生汇聚;随着基岩倾角的增加地表中心处的卓越频率有减小的趋势。  相似文献   
43.
结合均匀场地模型和分层均匀场地模型,采用数值试验的方法研究了场地地震反应分析中侧向人工边界距离的选取问题。分析了各主要因素对人工边界距离选取的影响,得到了如下结论:单侧人工边界距离与土层深度之比L/h是影响人工边界距离选取的主要参数;随着侧向人工边界距离的增加,有限元模型的计算误差并不一直减小,在局部范围内,会出现计算误差随着边界距离的增加而增大的现象;场地硬度、阻尼比和激振频率等因素不会影响计算误差随边界距离的变化规律,但采用自由场边界时受输入地震动频谱特性的影响较为明显;对水平激振下的一维场地模型来说,采用结合自由度边界时所需边界距离最短,自由场边界次之,采用粘性边界达到收敛时所需边界距离最长;无论哪种边界条件,当边界距离大于某一范围后,都能得到稳定的计算结果;相对于均质场地模型来说,实际的分层均匀场地建模时可适当减小侧向人工边界距离。  相似文献   
44.
Prediction intervals (PIs) are commonly used to quantify the accuracy and precision of a forecast. However, traditional ways to construct PIs typically require strong assumptions about data distribution and involve a large computational burden. Here, we improve upon the recent proposed Lower Upper Bound Estimation method and extend it to a multi‐objective framework. The proposed methods are demonstrated using a real‐world flood forecasting case study for the upper Yangtze River Watershed. Results indicate that the proposed methods are able to efficiently construct appropriate PIs, while outperforming other methods including the widely used Generalized Likelihood Uncertainty Estimation approach. Copyright © 2016 John Wiley & Sons, Ltd.  相似文献   
45.
2016年6月,江苏某异育银鲫(Carassius auratus gibelio)养殖场暴发一种传染性急性出血病,造成养殖银鲫大量死亡。为分析此次疾病病因及流行规律,本研究从发病养殖场采集患出血病的异育银鲫,从细菌、病毒及寄生虫三个方面对病原进行了分析。采用病原菌分离、组织病理学观察、超薄切片电镜观察、病毒核酸分析、回感实验等对病原进行鉴定。结果显示从发病鲫鱼体内分离到病毒一株,未发现寄生虫及细菌感染。经测序及序列分析,该病毒为鲤疱疹病毒Ⅱ型(Cyprinid herpesvirus2,CyHV-2)病毒,组织病理学观察结果显示患病鱼的鳃和肾脏有明显病变,电镜下可观察到病鱼脾脏组织有带囊膜的球形病毒,囊膜直径约为170—200nm,病毒衣壳直径约为110—120nm,核心直径约为60nm,用组织匀浆感染鲫鱼囊胚细胞系(CGB)可稳定地观察到典型的细胞病变,用患病鱼组织匀浆液人工感染异育银鲫的死亡率高达100%,荧光定量PCR检测到该病毒可感染多器官,其中以脾脏中病毒含量最高,其次是脑,肝脏中最少。本研究可为CyHV-2的诊断防控及疫苗研制提供资料。  相似文献   
46.
结合黏弹性人工边界的时域波动输入方法和显式有限元法,设计了含垂直断层三维场地的SH波输入方法。基于建立的输入方法,研究了垂直断层对隧道地震响应的影响,并通过自由场算例验证了该方法具有较好精度。数值模拟结果表明:对于断层迎波侧的隧道结构,断层会对其地震动响应产生显著的放大作用,对于断层逆波侧的隧道结构,断层会对其产生隔离地震动的作用;相对周围围岩,断层介质的剪切波速越小,其产生的放大效应和隔震效果也会越显著;断层宽度越小,其对隧道地震动响应的影响范围也就越小,但是断层宽度的变化对于断层两侧隧道的地震动响应的影响并不明显。  相似文献   
47.
以额河源流采金后废弃矿区为研究对象,于2011—2015年期间,通过采取不同恢复措施从被破坏矿区草地植物多样性和生物量的角度分析植被恢复效果。结果表明:(1)不同恢复措施促使各植物群落的物种数增加了5%~30%,说明采取恢复措施使得矿区生态环境得到了一定程度的恢复。(2)综合植被群落结构、盖度和地上生物量、物种多样性指数分析,措施A5(推平+圈羊)、A4(推平+补水)、A3(推平+覆土+黑加仑)较其他措施恢复效果更为显著。(3)通过对各样地植被丰富度指数(R)、Shannon Wiener指数(H′)、Simpson指数(D)、Pielou (Jsw)指数与地上生物量分别进行回归分析,发现指数曲线拟合关系最好。表明物种多样性与地上生物量均存在较显著的正相关关系(P <0.05)。本研究可为类似矿区的植被恢复与重建提供参考和借鉴。  相似文献   
48.
Accurate simulations and predictions of urban expansion are critical to manage urbanization and explicitly address the spatiotemporal trends and distributions of urban expansion. Cellular Automata integrated Markov Chain (CA-MC) is one of the most frequently used models for this purpose. However, the urban suitability index (USI) map produced from the conventional CA-MC is either affected by human bias or cannot accurately reflect the possible nonlinear relations between driving factors and urban expansion. To overcome these limitations, a machine learning model (Artificial Neural Network, ANN) was integrated with CA-MC instead of the commonly used Analytical Hierarchy Process (AHP) and Logistic Regression (LR) CA-MC models. The ANN was optimized to create the USI map and then integrated with CA-MC to spatially allocate urban expansion cells. The validated results of kappa and fuzzy kappa simulation indicate that ANN-CA-MC outperformed other variously coupled CA-MC modelling approaches. Based on the ANN-CA-MC model, the urban area in South Auckland is predicted to expand to 1340.55 ha in 2026 at the expense of non-urban areas, mostly grassland and open-bare land. Most of the future expansion will take place within the planned new urban growth zone.  相似文献   
49.
Prediction of factors affecting water resources systems is important for their design and operation. In hydrology, wavelet analysis (WA) is known as a new method for time series analysis. In this study, WA was combined with an artificial neural network (ANN) for prediction of precipitation at Varayeneh station, western Iran. The results obtained were compared with the adaptive neural fuzzy inference system (ANFIS) and ANN. Moreover, data on relative humidity and temperature were employed in addition to rainfall data to examine their influence on precipitation forecasting. Overall, this study concluded that the hybrid WANN model outperformed the other models in the estimation of maxima and minima, and is the best at forecasting precipitation. Furthermore, training and transfer functions are recommended for similar studies of precipitation forecasting.  相似文献   
50.
Determination of the water depths in coastal zones is a common requirement for the majority of coastal engineering and coastal science applications. However, production of high quality bathymetric maps requires expensive field survey, high technology equipment and expert personnel. Remotely sensed images can be conveniently used to reduce the cost and labor needed for bathymetric measurements and to overcome the difficulties in spatial and temporal depth provision. An Artificial Neural Network (ANN) methodology is introduced in this study to derive bathymetric maps in shallow waters via remote sensing images and sample depth measurements. This methodology provides fast and practical solution for depth estimation in shallow waters, coupling temporal and spatial capabilities of remote sensing imagery with modeling flexibility of ANN. Its main advantage in practice is that it enables to directly use image reflectance values in depth estimations, without refining depth-caused scatterings from other environmental factors (e.g. bottom material and vegetation). Its function-free structure allows evaluating nonlinear relationships between multi-band images and in-situ depth measurements, therefore leads more reliable depth estimations than classical regressive approaches. The west coast of the Foca, Izmir/Turkey was used as a test bed. Aster first three band images and Quickbird pan-sharpened images were used to derive ANN based bathymetric maps of this study area. In-situ depth measurements were supplied from the General Command of Mapping, Turkey (HGK). Two models were set, one for Aster and one for Quickbird image inputs. Bathymetric maps relying solely on in-situ depth measurements were used to evaluate resultant derived bathymetric maps. The efficiency of the methodology was discussed at the end of the paper. It is concluded that the proposed methodology could decrease spatial and repetitive depth measurement requirements in bathymetric mapping especially for preliminary engineering application.  相似文献   
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