Early warning system for shallow landslides using rainfall threshold and slope stability analysis

A combined cluster and regression analysis were performed for the first time to identify rainfall threshold that triggers landslide events in Amboori, Kerala, India. Amboori is a tropical area that is highly vulnerable to landslides. The 2, 3, and 5-day antecedent rainfall data versus daily rainfall was clustered to identify a cluster of critical events that could potentially trigger landslides. Further, the cluster of critical events was utilized for regression analysis to develop the threshold equations. The 5-day antecedent (x-variable) vs. daily rainfall (y-variable) provided the best fit to the data with a threshold equation of y = 80.7–0.1981x. The intercept of the equation indicates that if the 5-day antecedent rainfall is zero, the minimum daily rainfall needed to trigger the landslide in the Amboori region would be 80.7 mm. The negative coefficient of the antecedent rainfall indicates that when the cumulative antecedent rainfall increases, the amount of daily rainfall required to trigger monsoon landslide decreases. The coefficient value indicates that the contribution of the 5-day antecedent rainfall is ∼20% to the landslide trigger threshold. The slope stability analysis carried out for the area, using Probabilistic Infinite Slope Analysis Model (PISA-m), was utilized to identify the areas vulnerable to landslide in the region. The locations in the area where past landslides have occurred demonstrate lower Factors of Safety (FS) in the slope stability analysis. Thus, rainfall threshold analysis together with the FS values from slope stability can be suitable for developing a simple, cost-effective, and comprehensive early-warning system for shallow landslides in Amboori and similar regions.     

一种多参数可控的随机复合半色调算法

此处提出了一种融合AM算法和FM算法优势、避免二者劣势的多参数可控随机复合半色调算法。该算法在避免莫尔条纹的同时降低了印刷复制难度,采用通用模板实现加网,节省了工作量。首先对加网角度模型、网点百分率以及网点排列模型进行了解析,提出了算法建模思想。通过设计通用模板或阈值矩阵以及构建网点单元精确定位算法,具体阐述了文中所提算法的建立过程。利用文中所提算法设计实验,对分色图像进行半色调化和叠印模拟。实验证明,文中所提算法是一种多项指标优于传统AM算法和FM算法的半色调方法。     

新经济地理学视角下中国纺织业区际转移的粘性分析

如何破除产业区际转移粘性,实现区域经济协调发展已成为近年来国内研究的热点问题。基于新经济地理学视角,综合运用区位熵、产业集聚变动指数和面板数据的门限回归方法,对2000-2010年中国纺织业转移的时空特征及区际转移产生粘性的原因进行了研究。结果表明,尽管东部纺织业已出现明显的转移趋势,但就其跨区向中西部转移而言仍具有很强的粘性,其原因在于:1纺织业对本地市场具有较强的依赖性,因而在市场接近效应的作用下东部纺织业向中西部地区的转移存在一定的市场阻力;2纺织业集聚的外部规模效应仍在增强,特别是东部部分省份的纺织业未来仍有较强的集聚动力;3东部由于其特定区位优势和经济发展非均衡的特点为该地区纺织业在其内部省份间的调整提供了回旋余地。     

共转换点道集S变换谱相似性的多波地震数据横波波场提取技术

横波速度动校正后的共转换点(CCP)道集内,同时刻的各道横波信号S变换(ST)谱与其叠加道ST谱具有相似关系.因此,可基于这种相似关系设计自适应滤波器来提取多波地震数据中的横波波场.首先对共中心点(CMP)道集应用纵波速度动校正并在各道减去叠加道来去除数据中的纵波波场;然后在CCP道集应用横波速度动校正,将地震道振幅水平调整至叠加道振幅水平并做S变换,以叠加道ST谱为参考对地震道ST谱进行自适应滤波,去除数据中的残余纵波和噪声;最后,将滤波结果的振幅水平恢复至滤波前振幅水平.理论和实际数据试算表明,本文方法可有效提取多波地震数据中的横波波场,为多波多分量横波数据处理提供新思路.     

A comparison of hillslope drainage area estimation methods using high-resolution DEMs with implications for topographic studies of gullies

Topographic models provide a useful tool for understanding gully occurrence in the landscape but require reliable estimates of gully head drainage areas. Modern high-resolution topography data (collected using structure from motion photogrammetry or light detection and ranging) is increasingly used for topographic studies of gullies, but little work has been done to assess the variability of gully head drainage area estimates using different methods. This study evaluated alternative approaches to using high-resolution digital elevation models (DEMs) so that gully topographic models can be more readily applied to any area with suitably high-resolution data. Specifically, we investigated the impact of single- or multiple-direction flow routing algorithms, DEM hydrologic-enforcement procedures and spatial resolution on gully head drainage area estimation. We tested these methods on a 40 km² site centred on Weany Creek, a low-relief semi-arid landscape draining towards the Great Barrier Reef, Australia. Using a subroutine to separate gully heads into those with divergent or convergent flow patterns upslope, we found that divergent flow conditions occurred at half of 484 studied gullies. Drainage areas estimated by different flow routing algorithms were more variable in these divergent cases than for convergent cases. This variation caused a significant difference between topographic threshold parameters (slope b and intercept k) derived from single- or multiple-direction flow routing algorithms, respectively. Different methods of hydrologic enforcement (filling or breaching) also affected threshold analysis, resulting in estimates of the exponent b being ~188% higher if the DEM was filled than if breached. The testing of the methods to date indicates that a finer resolution (≤2 m) DEM and a multiple-direction flow routing algorithm achieve the most realistic drainage area estimates in low-relief landscapes. For Weany Creek we estimated threshold parameters k = 0.033 and b = 0.189, indicating that it is highly susceptible to gully erosion.     

基于特征约束的点云简化算法研究

针对传统的点云简化算法导致特征区域容易丢失的问题,提出了一种新的基于特征约束的点云简化的算法。首先对散乱点云用KD—TREE建立起空间拓扑关系,在此基础上建立起单个点的K-邻域。然后对K-邻域内建立起最小二乘平面,设定合理的阈值来度量数据点的重要性。依据特征点的分布估算每个点的简化距离阈值,以此为基础对每个点进行自适应简化。实验证明该算法能满足在点云数据简化过程中检测并保留特征点的要求。     

不同加载速率下煤岩单轴压缩电荷感应规律研究

利用自主研制的电荷感应仪,建立单轴压缩条件下煤岩电荷感应试验系统.研究了煤、花岗岩、砂岩在不同加载速率下的电荷感应规律.试验结果表明:煤岩电荷感应最大值在应力达到极限强度前出现,且随加载速率增加,电荷最大值比应力极限强度提前出现时间有减短趋势.不同性质煤岩体,电荷感应最大值有较大区别,花岗岩电荷最大值大于煤电荷最大值,煤电荷最大值大于砂岩电荷最大值.当应力较小时,煤岩只产生微量的电荷信号,当应力达到煤岩极限应力的90%左右时产生大量的电荷信号,说明煤岩电荷感应存在应力阈值.因此,电荷感应方法作为预测预报动力灾害是可行的,值得深入研究.     

基于广义帕累托分布的地震震级分布尾部特征分析

极值理论在地震危险性分析中有着重要应用,发震震级超过某一阈值的超出量分布可以近似为广义帕累托分布.基于广义帕累托分布给出了若干地震活动性参数的估计公式,包括强震震级分布、地震复发周期和重现水平、期望重现震级、地震危险性概率和潜在震级上限等;以云南地区震级资料为基础数据,讨论了阈值选取、模型拟合诊断和参数估计;在此基础上计算了该地区的地震活动性参数.结果表明,广义帕累托分布较好地刻画了强震震级分布,通过超阈值(POT)模型计算的复发周期与实际复发间隔统计基本一致,高分位数估计在一定阈值范围内表现稳定,为工程抗震中潜在震级上限的确定提供了一种途径.     

基于农作物食用安全的土壤重金属风险阈值

采用单项超标指数法对德兴铜矿区土壤和农作物重金属含量进行评价,发现土壤中与农作物中的重金属超标不一致,尤其是Pb、Cd在土壤中不超标或超标很少,但在农作物中超标极其严重。为了解决土壤超标与农作物超标不匹配问题,依据国家食品卫生标准,提出基于农作物安全的土壤重金属风险阈值方法,给出德兴地区农田土壤重金属超标风险阈值。该方法解决了国家标准评价时出现的超标界限偏差和考虑土壤使用情况单一的问题。很好地为德兴铜矿地区水稻和小白菜种植地点的选择和超标土壤的治理提供科学依据,更加灵活地应用于农业生产过程中。     

小波变换在位场资料去噪和位场分离中的应用

根据小波变换的原理,研究了小波阙值去噪方法和位场分离方法在某实测布格重力异常的应用及效果。多矩形棱柱体模型试验表明:选取合适的小波基和小波参数,可以更好地提取出重力异常中的有用信息,为下一步在实测重力数据中的应用提供理论基础。实测布格重力资料处理结果表明:基于小波变换的去噪方法和位场分离方法,能够较好地去除随机噪声,更好地区别出局部异常和区域异常,提高数据处理与解释中有用信号识别的精度。