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从褐藻胶线性链块结构的本质出发,运用结构单元的特征性及简单的统计原理,得到了各种结构单元频率之间的相互关系,并阐述了这些结构参数的化学意义,及其初步的应用,从而发现了一些实验现象的理论依据。为探讨褐藻胶组成、结构、功能之间的关系,建立一个对组成、结构定量描述的参数系数。 相似文献
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ABSTRACTA hybrid hydrologic model (Distributed-Clark), which is a lumped conceptual and distributed feature model, was developed based on the combined concept of Clark’s unit hydrograph and its spatial decomposition methods, incorporating refined spatially variable flow dynamics to implement hydrological simulation for spatially distributed rainfall–runoff flow. In Distributed-Clark, the Soil Conservation Service (SCS) curve number method is utilized to estimate spatially distributed runoff depth and a set of separated unit hydrographs is used for runoff routing to obtain a direct runoff flow hydrograph. Case studies (four watersheds in the central part of the USA) using spatially distributed (Thiessen polygon-based) rainfall data of storm events were used to evaluate the model performance. Results demonstrate relatively good fit to observed streamflow, with a Nash-Sutcliffe efficiency (ENS) of 0.84 and coefficient of determination (R2) of 0.86, as well as a better fit in comparison with outputs of spatially averaged rainfall data simulations for two models including HEC-HMS. 相似文献
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IAN LITTLEWOOD 《水文科学杂志》2013,58(5):795-811
Abstract A continuous simulation rainfall-streamflow modelling approach that identifies unit hydrographs for total streamflow has been applied to an 11-year record from a national hydrometric monitoring network catchment in the UK. The model is of the parametrically parsimonious conceptual model (PPCM) type that can make efficient use of rainfall, streamflow and air temperature data readily available from established national and regional monitoring networks. A multiple split-sample model calibration and simulation analysis is presented that reveals some guiding principles for calibrating and applying PPCMs generally. The inadequacy of a one-dimensional objective function for calibrating best PPCMs is demonstrated. A two-dimensional objective function approach is superior but is shown to be unreliable in some cases, confirming the need for additional critical inspection of other model performance statistics, model parameters and time series plots as an integral part of the model calibration process. A strong tendency evident from the multiple split-sample analysis is that, for the catchment studied, models that fit relatively well in calibration mode perform relatively poorly in simulation mode. 相似文献
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Michael Dopita John Hart Peter McGregor Patrick Oates Gabe Bloxham Damien Jones 《Astrophysics and Space Science》2007,310(3-4):255-268
This paper describes the Wide Field Spectrograph (WiFeS) under construction at the Research School of Astronomy and Astrophysics
(RSAA) of the Australian National University (ANU) for the ANU 2.3 m telescope at the Siding Spring Observatory. WiFeS is
a powerful integral field, double-beam, concentric, image-slicing spectrograph designed to deliver excellent throughput, wavelength
stability, spectrophotometric performance and superb image quality along with wide spectral coverage throughout the 320–950 nm
wavelength region. It provides a 25×38 arcsec field with 0.5 arcsec sampling along each of twenty five 38×1 arcsec slitlets.
The output format is optimized to match the 4096×4096 pixel CCD detectors in each of two cameras individually optimized for
the blue and the red ends of the spectrum, respectively. A process of “interleaved nod-and-shuffle” will be applied to permit
quantum noise-limited sky subtraction. Using VPH gratings, spectral resolutions of 3000 and 7000 are provided. The full spectral
range is covered in a single exposure at R=3000, and in two exposures in the R=7000 mode. The use of transmissive coated optics, VPH gratings and optimized mirror coatings ensures a throughput (including
telescope atmosphere and detector) >30% over a wide spectral range. The concentric image-slicer design ensures an excellent
and uniform image quality across the full field. To maximize scientific return, the whole instrument is configured for remote
observing, pipeline data reduction, and the accumulation of calibration image libraries. 相似文献
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An application of genetic programming (GP) and artificial neural networks (ANNs) in hydrology is proposed, showing how these two techniques can work together to solve the problem of modelling the effect of rain on the runoff flow in a typical urban basin. The ability of GP to include the physical basis of a problem and even to analyse the results is discussed, and a case study is included as an example. We propose a solution to this problem by using an ANN for the prediction of the daily flow due to human activity of the citizens and the use of GP for the prediction of the flow rate resulting from the rain. Finally, it is shown that the methodology can be used to solve similar problems by combining both techniques. Copyright © 2006 John Wiley & Sons, Ltd. 相似文献
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为研究季节冻土区冻融作用对基坑工程的影响,基于考虑冰-水相变的热传导理论、考虑黏聚力的修正剑桥模型和强度折减法,建立了适用于季节冻土区基坑稳定性分析的计算平台。在此基础上,结合具体的试验数据对不同初始状态的基坑算例进行计算,研究季节冻土区基坑冻融前后稳定性和位移的变化情况,并根据土体冻融前后的物理力学参数对上述变化规律作出分析。研究结果表明,冻融作用加剧季节冻土区基坑的局部变形,且土体的初始干重度对变形规律的影响较大,但基坑的整体安全系数并未受到冻融作用的显著影响。存在一个临界干重度γd0,基坑土体的初始干重度接近临界干重度时,围护桩水平位移在冻融前后的变化较小,随着土体初始干重度与临界干重度的差距增大,围护桩水平位移在冻融前后的变化量也随之增大。土体的初始干重度越小,基坑围护桩的竖向位移和坑底隆起位移在冻融前后的变化量越大,即土体初始干重度较小的基坑在经历冻融后,围护桩的竖向位移产生显著沉降,但坑底隆起情况有明显缓解。研究成果对季节冻土区基坑工程的设计和施工具有重要意义。 相似文献
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