Metamodel-based design of alluvial channels at incipient motion subjected to seepage

Abstract

The design of an alluvial channel affected by seepage requires information about five basic parameters: particle size, water depth, energy slope, seepage velocity, and average velocity. The conventional approach to predicting the incipient motion in an alluvial channel cannot be applied in the case of a channel affected by seepage. Metamodelling techniques are nowadays widely used in engineering design to simulate a complex system. Here, a metamodel is described which employs the radial-basis function (RBF) network to predict the seepage velocity and energy slope based on experimental data under incipient motion conditions. It was found that the model fits experimental data very well and provides predictions for the design. With the help of the metamodel generated by the RBF network, design curves based on the RBF metamodel are presented for use in designing an alluvial channel when it is affected by seepage.

Citation Kumar, B., Sreenivasulu, G. & Ramakrishna Rao, A. (2010) Metamodel-based design of alluvial channels at incipient motion subjected to seepage. Hydrol. Sci. J. 55(3), 459–466.     

Bacteria‐removing and Bactericidal Efficiencies of PDADMAC Composite Coagulants in Enhanced Coagulation Treatment

Enhanced coagulation treatment of bacteria‐containing raw water was studied by using three series of composite coagulants, that were prepared by combining polydiallyldimethylammonium chloride (PDADMAC) with different intrinsic viscosity values (0.55–2.47 dL/g) and mass percentages (5–20%) with polyaluminum chloride (PAC), aluminum sulfate (AS), and the composite of aluminum sulfate and ferric chloride (A‐F), respectively. The coagulants were tested by jar tests for the efficiencies to remove bacteria in raw water and to kill bacteria in settled sludge. It was found that when the residual turbidity of supernatant after sedimentation reached the control standard of 2 NTU in drinking water plant, the bacteria‐removing rates of PAC, AS, and A‐F were 92.22, 92.60, and 94.99%, respectively, and the bactericidal rates were 2.52, 1.22, and 2.94%, respectively. Contrastively, the bacteria‐removing rates of PAC/PDADMAC, AS/PDADMAC, and A‐F/PDADMAC could reach 95.45, 96.90, and 98.89%, respectively, and the bactericidal rates could reach 86.60, 91.81, and 96.98%, respectively. It could be deduced from the results that the bactericidal efficiencies of composite coagulants stemmed from the bactericidal action of PDADMAC, and the inorganic coagulants had little bactericidal function.     

测绘师的职业素养和成长进程研究

要实现测绘强国,一要有先进发达的测绘科技,二要有规范繁荣的测绘市场,而二者平衡发展的关键就在于人才。测绘师在测绘行业中起着至关重要的作用。测绘师的能力通常可以反映测绘事业的整体水平。作为一个合格的注册测绘师必须具有测绘职业道德、素质修养和专业技能,才能胜任功能社会的需要。注册测绘师的成长需要经历学校培养、见习锻炼和执业发展3个阶段,从而逐步形成测绘师自身和测绘行业的社会地位和专业魅力。     

资源三号数据在省域主体功能区监测方面的应用

当前国家以及各地区主体功能区区域规划已经完成,如何对规划后的主体功能区进行监测,是当今主体功能区监测面临的重大课题。资源三号卫星数据为主体功能区监测提供新的数据源。本文以资源三号卫星数据为数据源,开展主体功能区监测应用,并建立主体功能区监测平台,用于主体功能区监测与地物提取。     

四川芦山7.0地震和汶川8.0地震震源区地壳岩石圈变形特征分析

地壳和岩石圈变形特征研究对于深入了解中强地震的深部孕震环境具有重要科学意义.本文联合P和S波远震接收函数偏移成像结果,对发生过芦山7.0地震和汶川8.0地震的龙门山断裂带及附近区域地壳和岩石圈结构进行分析.结果揭示出在青藏高原向四川盆地过渡的龙门山断裂带,Moho面和岩石圈底界面(LAB)呈现出强烈变形,特别是芦山地震和汶川地震震源区下方地壳出现了错断、下凹,岩石圈也呈现下凹变形特征.这种地壳及岩石圈变形所代表的高应力的积累可能是汶川和芦山地震发生的重要深部地球动力学背景.     

Introducing sensor spectral response into the classification process

Many sensors have their bands overlapped and therefore do not set a normal space. If a spectral distance is measured, as in first-order statistical classifiers, the direct consequence is that the result will not be the most accurate. Image classification processes are independent of the spectral response function of the sensor, so this overlap is usually ignored during image processing. This paper presents a methodology that introduces the spectral response function of sensors into the classification process to increase its accuracy. This process takes place in two steps: first, incident energy values of the sensors are reconstructed; second, the energy of the bands is set in an orthonormal space using a matrix singular value decomposition. Sensors with and without overlapping spectral bands were simulated to evaluate the reconstruction of energy values. The whole process was implemented on three types of images with medium, high and very high spatial resolution obtained with the sensors ASTER, IKONOS and DMC camera, respectively. These images were classified by ISODATA and minimum distance algorithms. The ISODATA classifier showed well-defined features in the processed images, while the results were less clear in the original images. At the same time, the minimum distance classifier showed that overall accuracy of the processed images increased as the maximum tolerance distance decreased compared to the original images.     

A new Likelihood Ratio for supervised classification of fully polarimetric SAR data: An application for sea ice type mapping

One of the potential applications of polarimetric Synthetic Aperture Radar (SAR) data is the classification of land cover, such as forest canopies, vegetation, sea ice types, and urban areas. In contrast to single or dual polarized SAR systems, full polarimetric SAR systems provide more information about the physical and geometrical properties of the imaged area. This paper proposes a new Bayes risk function which can be minimized to obtain a Likelihood Ratio (LR) for the supervised classification of polarimetric SAR data. The derived Bayes risk function is based on the complex Wishart distribution. Furthermore, a new spatial criterion is incorporated with the LR classification process to produce more homogeneous classes. The application for Arctic sea ice mapping shows that the LR and the proposed spatial criterion are able to provide promising classification results. Comparison with classification results based on the Wishart classifier, the Wishart Likelihood Ratio Test Statistic (WLRTS) proposed by Conradsen et al. (2003) and the Expectation Maximization with Probabilistic Label Relaxation (EMPLR) algorithm are presented. High overall classification accuracy of selected study areas which reaches 97.8% using the LR is obtained. Combining the derived spatial criterion with the LR can improve the overall classification accuracy to reach 99.9%. In this study, fully polarimetric C-band RADARSAT-2 data collected over Franklin Bay, Canadian Arctic, is used.     

测量平差模型误差对平差结果的影响

测量平差模型不仅包括函数模型还包括随机模型,因此要研究测量平差模型误差对平差结果的影响就要研究函数模型误差和随机模型误差二者同时的影响。本文以间接平差模型为例,随机模型误差、函数模型误差和随机模型误差三个层次研究了测量平差模型误差对平差结果影响的公式,论证了不同平差模型误差情况下的平差结果,并推导和论证了同时考虑函数模型误差和随机模型误差对平差结果影响的公式。     

省级似大地水准面的局部再精化

本文利用少量新的高程异常控制点作为公共点,结合高精度的原省级似大地水准面模型,计算出公共点的高程异常残差,采用多面函数法对其进行数学拟合,获得待求点的高程异常改正数,可大幅提高省级似大地水准面模型的局部精度,是一种简单有效和切实可行的省级似大地水准面局部再精化方案,并给出了实例证明.     

Formal difference analysis and unification onp-norm distribution density functions

The cause of the formal difference ofp-norm distribution density functions is analyzed, two problems in the deduction ofp-norm formulating are improved, and it is proved that two different forms ofp-norm distribution density functions are equivalent. This work is useful for popularization and application of thep-norm theory to surveying and mapping.