挑坎体型对下游雾化影响的试验研究          下载免费PDF全文

练继建  冉聃颉  何军龄  张紫畅 《水科学进展》2020,31(2):260-269

以解决挑流消能工在泄洪期间为提高消能率而加重下游雾化问题为目标,探究不同体型挑坎的下游雾化特性。通过水力学模型试验,对典型的非对称舌型坎、标准舌型坎、扭面贴坎和连续坎的下游水舌风分布、下游溅水雨强和不同液滴体积分布以及挑流水舌水力特性与冲刷特性进行了研究。研究表明:①各种工况下,非对称舌型坎、标准舌型坎、扭面贴坎的下游水舌风风速均大于连续坎。②对于非对称舌型坎,其溢洪道轴线左侧溅水强度大于右侧,其雨强左右两侧峰值差值最大为5.625 g/(m 2·min);对于扭面贴坎,其溢洪道轴线右侧溅水强度更大,其雨强左右两侧峰值差值最大为45.125 g/(m 2·min)。③随着距离水舌入水点长度增大,大粒径水滴数量和体积占比均剧烈下降;连续坎和舌型坎的挑宽均随着角度的增加而增加;冲坑深度随着角度的减小而增大。④在挑坎合适边墙侧设置扭面贴角能改善下游雾化危害,同时适当增加挑角可以减弱下游冲刷破坏。  相似文献   

基于旅游开发影响的五台山植被景观特征分析     

牛莉芹  程占红 《地理研究》2019,38(5):1162-1174

以往旅游对植被影响的评价成果较多,但是旅游影响下植被景观与地理因子之间的关系报道较少。本文利用多种数量生态学方法探讨了五台山旅游开发与植被景观之间的生态关系。结果表明：① 旅游开发影响下五台山植被景观可分为单优乔木区、草本区、差级乔草区、中级乔草区、中级灌草区、良级灌草区、良级乔灌草区、优级乔灌草区、以及寺庙区、商业区或居民区9种类型。② 在除趋势对应分析中,第一轴与所有因子的相关性都较大,第二轴与旅游干扰度和海拔呈显著的负相关性。各植被景观类型的空间分布在一定程度上取决于关键性指标的空间格局。③ 除趋势典范对应分析方法能够大大提高植被景观特征与地理因子间的相关性,并将其直观地表达于排序图中。在植被景观特征与地理因子的关系上,第一轴上的相关系数是0.858_DCCA>0.828_DCA,第二轴上的相关系数是0.583_DCCA>0.501_DCA,这说明除趋势典范对应分析方法更优。  相似文献   

Configurations of community in flood risk management     

Aleksi Räsänen  Vera Kauppinen  Sirkku Juhola  Gunhild Setten  Haakon Lein 《Norsk geografisk tidsskrift. Norwegian journal of geography》2020,74(3):165-180

ABSTRACT

Despite a notable increase in the literature on community resilience, the notion of ‘community’ remains underproblematised. This is evident within flood risk management (FRM) literature, in which the understanding and roles of communities may be acknowledged but seldom discussed in any detail. The purpose of the article is to demonstrate how community networks are configured by different actors, whose roles and responsibilities span spatial scales within the context of FRM. Accordingly, the authors analyse findings from semi-structured interviews, policy documents, and household surveys from two flood prone areas in Finnish Lapland. The analysis reveals that the ways in which authorities, civil society, and informal actors take on multiple roles are intertwined and form different types of networks. By implication, the configuration of community is fuzzy, elusive and situated, and not confined to a fixed spatiality. The authors discuss the implications of the complex nature of community for FRM specifically, and for community resilience more broadly. They conclude that an analysis of different actors across scales contributes to an understanding of the configuration of community, including community resilience, and how the meaning of community takes shape according to the differing aims of FRM in combination with differing geographical settings.  相似文献   

一种基于M估计的Robust-ELM滑坡位移预测方法     

高彩云  高宁 《大地测量与地球动力学》2019,39(2):153-157

采用传统ELM算法进行滑坡位移预测时，其网络输出权值由最小二乘估计得出，导致ELM抗差能力较差，从而造成网络训练参数不准确。为此，将M估计与ELM相结合，提出一种基于M估计的Robust-ELM滑坡变形预测方法。该方法利用加权最小二乘方法来取代最小二乘法计算ELM输出权值，以减少滑坡监测数据中粗差对ELM预测的干扰。分别以链子崖、古树屋滑坡体为例，将Robust-ELM进行了单维、多维粗差的抵御性验证。结果表明，该方法能够有效降低粗差对预测的影响，具有良好的抗差能力。  相似文献   

建筑物侧面轮廓线约束的高分辨率遥感影像建筑物高度估算方法     

陈辉  张卡  宿东  王蓬勃 《测绘通报》2019,(9):34-37,72

针对现有利用阴影长度法提取建筑物高度时存在的阴影间相互遮挡问题，提出了一种基于建筑物侧面轮廓线进行建筑物高度估算的新方法。首先，利用RPC模型计算建筑物像点位移的方向与卫星成像角度，再将遥感影像进行旋转，使建筑物像点位移沿水平方向；然后，利用Canny算法进行轮廓检测，并构建一定长度的矩形形态学结构元素，对轮廓图像进行形态学开运算，以提取侧面轮廓线，再利用Hough变换与建筑物角点约束，对所提取的轮廓线进一步筛选；最后，根据卫星侧视成像时建筑物高度与像点位移的几何关系进行建筑物的高度估算。利用实际的高分辨率卫星影像对本文方法进行了验证，并与阴影法估算建筑物高度进行了对比。试验结果证明，利用建筑物侧面轮廓线进行建筑物高度估算平均误差可以达到0.7 m，且实际精度优于使用阴影法进行建筑物高度估算。  相似文献   

Indoor localization for pedestrians with real-time capability using multi-sensor smartphones     

Catia Real Ehrlich 《地球空间信息科学学报》2019,22(2):73-88

ABSTRACT

The localization of persons or objects usually refers to a position determined in a spatial reference system. Outdoors, this is usually accomplished with Global Navigation Satellite Systems (GNSS). However, the automatic positioning of people in GNSS-free environments, especially inside of buildings (indoors) poses a huge challenge. Indoors, satellite signals are attenuated, shielded or reflected by building components (e.g. walls or ceilings). For selected applications, the automatic indoor positioning is possible based on different technologies (e.g. WiFi, RFID, or UWB). However, a standard solution is still not available. Many indoor positioning systems are only suitable for specific applications or are deployed under certain conditions, e.g. additional infrastructures or sensor technologies. Smartphones, as popular cost-effective multi-sensor systems, is a promising indoor localization platform for the mass-market and is increasingly coming into focus. Today’s devices are equipped with a variety of sensors that can be used for indoor positioning. In this contribution, an approach to smartphone-based pedestrian indoor localization is presented. The novelty of this approach refers to a holistic, real-time pedestrian localization inside of buildings based on multi-sensor smartphones and easy-to-install local positioning systems. For this purpose, the barometric altitude is estimated in order to derive the floor on which the user is located. The 2D position is determined subsequently using the principle of pedestrian dead reckoning based on user's movements extracted from the smartphone sensors. In order to minimize the strong error accumulation in the localization caused by various sensor errors, additional information is integrated into the position estimation. The building model is used to identify permissible (e.g. rooms, passageways) and impermissible (e.g. walls) building areas for the pedestrian. Several technologies contributing to higher precision and robustness are also included. For the fusion of different linear and non-linear data, an advanced algorithm based on the Sequential Monte Carlo method is presented.  相似文献   

Impact of missing flow on active inundation areas and transformation of parafluvial wetlands in Punarbhaba–Tangon river basin of Indo-Bangladesh     

Swades Pal 《国际地球制图》2019,34(10):1055-1074

Punarbhaba river of Indo-Bangladesh has experienced hydro-ecological alteration after installation of Komardanga dam in 1992 and consequently wetland and inundation areas have undergone into transformation. The present work intends to explore the impact of flow attenuation on contemporary and upcoming flood extent and flood plain wetlands. In post-dam condition, average and maximum flows are attenuated by 36 and 41%, respectively, and as a result the active flood prone area is squeezed considerably by 39.72%. Average flood water depth is also reduced by 37.87% (4.45metre) after flow modification. Due to shrinkages of flood prone areas, wetland area is also reduced from 215.70 to 90.40 km² and larger part of the present wetland area is under stress and critical state. Predicted flood prone areas in next 25 years will be 328.91 km² and consequently 65.63 km² wetland areas may further be under hydro-ecological threats. Release of ecological flow is essential to restore and preserve the wetland.  相似文献   

无人机倾斜摄影三维模型在城市雨洪风险评估中的应用     

刘斌  唐雅玲  马晨燕  白少云 《测绘通报》2019,(10):46-50,66

研究城市雨洪风险问题，对提高城市洪涝灾害监测、预报的准确性，以及促进城市防洪决策制定具有重要的意义。鉴于高精度的城市三维模型可以提供丰富地理信息，便于准确分析淹没情况，本文针对当前城市洪涝模型对地形数据的高敏感性，且雨洪风险评估研究的准确性受限于地形数据精度的问题，提出利用无人机倾斜摄影测量技术重建高精度实景三维模型，并结合GIS的空间分析功能，以淹没深度为关键指标进行研究区的雨洪风险评估。通过提取不同重现期下研究区的淹没深度信息，进行可视化渲染实现三维淹没分析，可以直观地看到研究区的淹没情况，作为暴雨内涝风险管理依据，同时对城市规划布局有一定的参考价值。  相似文献   

基于遗传算法优化BP神经网络的玉米遥感估产方法     

于海洋  陈圣波  杨北萍  安秦 《世界地质》2020,39(1):208-214

以内蒙古自治区开鲁县玉米作物为研究对象,将生育期内玉米遥感影像所提取的多种植被指数和实地采样点的测产数据作为训练值,利用BP(back propagation)神经网络和遗传算法优化BP(GA-BP)神经网络估产模型,得出网络预测的玉米产量数值。通过决定系数R 2和均方根误差RMSE,比较实测产量与预测产量之间的精度,BP神经网络模型R^2为0.8452,RMSE(%)为28.37;遗传算法优化BP神经网络模型R^2为0.9850,RMSE(%)为6.70,表明遗传算法优化BP神经网络估产模型具有一定可行性和可信度。  相似文献   

基于共轭梯度搜索的病态问题处理方法     

刘杰  张娟娟 《大地测量与地球动力学》2019,39(8):863-868

在最小二乘平差准则基础上，把病态平差问题转化为无约束的二次规划问题，并利用优化理论分析病态对平差解的影响。通过共轭梯度搜索算法在可行域中寻找最优步长因子，自动寻找最速下降方向，并给出迭代初值的设置方法。分析近似计算中病态问题与局部最优解的关系，讨论局部最优解的快速迭代方法，并通过实例验证算法的有效性，计算迭代的速度。由于整个过程没有对法方程系数矩阵进行求逆计算，该算法可用于处理大规模系数矩阵高病态的平差问题。  相似文献