强降雨下基于Green-Ampt模型的边坡稳定性分析

降雨入渗分析方法直接影响降雨型滑坡的预测与防范。Green-Ampt（GA）模型物理意义明确、参数较少,在降雨型滑坡分析中逐渐得到了重视,但该方法忽略了湿润层非饱和层的存在以及饱和层渗流而影响计算精度。针对以上不足,基于GA模型,建立了适用于边坡并且能综合考虑湿润层土体含水率分布情况与饱和层内平行于坡面渗流作用的降雨入渗分析（LSGA）模型,并提出了该模型下边坡稳定性系数表达式。结果表明：对于不考虑分层的无限长边坡,LSGA模型可简化为GA模型,说明GA模型是LSGA模型的一个特例;与LSGA模型相比,GA模型在失稳深度和时间上有较大延缓;饱和层渗流作用对湿润层特性影响较小,对边坡稳定性影响较大;相反,坡体长度方向尺寸效应则对湿润层特性影响明显,而对边坡稳定性影响较小;利用LSGA模型和稳定性评价方法得到的结果与模型试验揭示的现象基本吻合,证明了该方法有较好的精确性和可靠性。     

基于K2结构学习算法的多光谱影像贝叶斯网络分类器

用基于启发式搜索的结构学习算法,学习得到多光谱影像的贝叶斯网络结构,分析了TM的波段（特征）间条件独立性假设的合理性,给出了贝叶斯推理中后验概率计算的公式,并通过和最大似然法对比试验分析了简单贝叶斯网络应用于多光谱影像分类的优势。     

The application of range of variability approach to the assessment of a check dam on riverine habitat alteration

This report uses the intermediate disturbance hypothesis to assess the influence of constructing a check dam on river environment. HEC-HMS and HEC-RAS programs were used to generate hydraulic parameters such as flow discharge, water depth, velocity, water surface width and sediment discharge. Indicators of hydrologic alteration (IHA) and indicator of habitat alteration (IHabA) were used to evaluate the flow and habitat conditions before and after check dam construction. The range of variability approach was used to calculate the degree of hydrologic alteration for each IHA, degree of habitat alteration and overall alteration for IHabA. Variability of river habitats before and after check dam construction was contrasted. Alteration became larger the closer to the dam body. An assessment method for check dam construction is offered which does not require ecological investigation data and combines ecology concepts and hydraulics.     

Rating curve uncertainty and change detection in discharge time series: case study with 44‐year historic data from the Nyangores River,Kenya

The intersection of the developing topic of rating curve and discharge series uncertainty with the topic of hydrological change detection (e.g., in response to land cover or climatic change) has not yet been well studied. The work herein explores this intersection, with consideration of a long‐term discharge response (1964–2007) for a ~650‐km² headwater basin of the Mara River in west Kenya, starting with stream rating and daily gauge height data. A rating model was calibrated using Bayesian methods to quantify uncertainty intervals in model parameters and predictions. There was an unknown balance of random and systemic error in rating data scatter (a scenario not likely unique to this basin), which led to an unknown balance of noise and information in the calibrated statistical error model. This had implications on testing for hydrological change. Overall, indications were that shifts in basin's discharge response were rather subtle over the 44‐year period. A null hypothesis for change using flow duration curves (FDCs) from four different 8‐year data intervals could be either accepted or rejected over much of the net flow domain depending on different applications of the statistical error model (each with precedence in the literature). The only unambiguous indication of change in FDC comparisons appeared to be a reduction in lowest baseflow in recent years (flows with >98% exceedance probability). We defined a subjective uncertainty interval based on an intermediate balance of random and systematic error in the rating model that suggested a possibility of more prevalent impacts. These results have relevance to management in the Mara basin and to future studies that might establish linkages to historic land use and climatic factors. The concern about uncertain uncertainty intervals (uncertainty²) extends beyond the Mara and is relevant to testing change where non‐random rating errors may be important and subtle responses are investigated. Copyright © 2013 John Wiley & Sons, Ltd.     

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地壳波浪状镶嵌构造学说撮要

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同时检测监测网的异常形变和粗差

粗差干扰影响形变分析成果的质量，以往都是粗差与异常变形分开来检测，即对每一期观测锡除粗差后再进行平差，然后利用两期或多期平差结果进行形变分析，这两步是重复的，为此，从位移观测方程入手，根据粗差检测与异常形变检测相似的特点，提出将粗差与异常形变同时检测，根据二者的不同特点，将它们区分开的新思路。通过算例分析比较了拟准检定法、假设检验法及相关抗差估计方案的检测效果，结果表明拟准检定法具有比其它两种方法实施简单、定位准确的优点，同时验证了这种思路的可行性。     

基于统计信息的低反差道路半自动提取方法

从实际应用的角度,采用基于统计信息的低反差半自动道路提取方法,提取了高分辨率遥感影像中道路特征分析时经常被忽略的、目标与背景反差较小的道路段;并在高层的知识处理后,将结果返回中层及底层进行了进一步验证。     

中更新世气候转型与100ka周期研究

中更新世气候转型是第四纪气候变化中最重要的特征之一，它是指全球气候的主导周期在中更新世时从41ka转变为100ka，且气候波动的幅度也加大。经典的Milankovitch假说不能完全解释中更新世气候转型的原因以及100ka周期在气候记录中的强烈表现，因为太阳辐射与气候记录之间存在着相当的差异，尤其是二者在变化幅度上不匹配。近年来围绕这一转型过程的时代和原因获得了一些新的进展，主要是针对中更新世气候转型的时间、对气候记录中100ka周期的重新检讨以及非太阳辐射因素在这一转型过程中所起的作用。其它可能的转型原因包括大冰盖、温室气体、地球轨道面倾角、冰盖基底、构造隆升等。     

Understanding hydrological trends by combining the Budyko hypothesis and a stochastic soil moisture model

Abstract

The actual evapotranspiration and runoff trends of five major basins in China from 1956 to 2000 are investigated by combining the Budyko hypothesis and a stochastic soil moisture model. Based on the equations of Choudhury and Porporato, the actual evapotranspiration trends and the runoff trends are attributed to changes in precipitation, potential evapotranspiration, rainfall depth and water storage capacity which depends on the soil water holding capacity and the root depth. It was found that the rainfall depth increased significantly in China during the past 50 years, especially in southern basins. Contributions from changes in the water storage capacity were significant in basins where land surface characteristics have changed substantially due to human activities. It was also observed that the actual evapotranspiration trends are more sensitive to precipitation trends in water-limited basins, but more sensitive to potential evapotranspiration trends in energy-limited basins.

Editor D. Koutsoyiannis; Associate editor A. Porporato