有序标记与气象等值线的自动填充和隐藏

气象要素等值线分析是气象业务与服务不可或缺的手段,依据等值线自动填充的色斑图广泛应用于各类气象要素场的空间分析。等值线自动填充最关键的环节是确定区域属性值和排序,不可避免地要进行格点与区域、区域与区域之间的包含关系判别,通常需要反复遍历格点数组和创建临时区域,占用内存较多,影响运行效率。文中基于有序标记,巧妙地运用位置关系替代传统的包含关系判别,显著降低了区域属性值确定与排序的难度和复杂度。对于离散的气象要素场,密集的等值线不仅没有实际意义,而且影响空间分布的直观效果,文中基于同一网格边上等值点的有序标记,提出一种自动隐藏部分密集等值线的方法,有效改善了离散场空间分布特征的直观效果。     

多种细网格模式对湖南水库流域面雨量的预报检验

选取2016年5—12月欧洲ECMWF、日本JMA、T639、德国GERMAN、湖南本地细网格HNGRIB的高分辨率降水预报产品,从预报时效、流域区域、面雨量量级、影响系统和预报偏差五个方面,检验分析了各模式对湖南水库流域面雨量的预报效果。结果表明:各细网格模式对流域面雨量的预报能力随预报时效的增加而下降,但ECMWF和JMA的预报效果相对较好且稳定,T639最差;各模式在非汛期10—12月的流域面雨量预报效果要优于汛期5—9月;随着面雨量量级增大,各模式的预报能力均下降,特别是对30mm以上的面雨量预报能力非常低;各模式对高空槽降水的预报能力最好,对西南低涡降水的预报能力最差;ECMWF、JMA、HNGRIB在各个时效上存在面雨量预报偏小的情况,而GERMAN、T639随着时效的增加,面雨量预报偏大的情况增多。     

Global Landscapes: Teaching Globalization through Responsive Mobile Map Design

This article reports on the design and evaluation of Global Madison, a mobile map designed to support teaching and learning about globalization using Madison, Wisconsin, as a situated classroom. Our experience of place increasingly is mediated by mobile devices, opening new opportunities and challenges for research, industry, and education. Despite this rising popularity, few guidelines exist for creating and using mobile maps. Following tenets of user-centered design studies, we conducted two mixed-method evaluations of Global Madison to improve the tool and generate design insights that are potentially transferable to similar mobile mapping contexts: 244 students participated in an online survey after completing the tour and eighteen students were observed in the field. The evaluations generated new design considerations for mobile maps supporting situated learning, include: focus on critical issues that might leave students stranded, append location-based services with traditional mapping, enforce cognitive association between map and landscape, supply a consistent feed of information for new learners, encourage collaborative learning in the landscape, and promote student safety above all else.     

肥城市城市规划区浅层地温能开发利用适宜性评价

在充分收集基础地质、水文地质、地热地质等资料基础上,结合钻探施工、现场热响应试验测试、井温测量、实验室测试等手段,对奥陶纪碳酸盐岩类裂隙岩溶水水位埋深、水温展布进行了测量,确定水位埋深在65～75m,埋深最大者位于白云山公园南、沙窝社区西南一带,埋深达约100m。平面地温最高温分布于研究区西部,西大封—朱庄—金槐—冉庄村一带,温度达到18℃以上。对肥城市城市规划区浅层地温能开发利用进行了适宜性评价,地下水地源热泵适宜中等区位于大面积地区,适宜差区位于泰肥铁路以北、白云山公园、龙山公园、母猪山一带。地埋管地源热泵适宜中等区位于大面积地区,适宜差区位于白云山公园、龙山公园一带的生态保护区。肥城市城市规划区浅层地温能资源丰富、开采条件便利,潜力巨大,具有良好的发展浅层地温能的基础条件。     

Neotectonics and slope stabilization at the Alhambra, Granada, Spain

Over 600 years, the Alhambra Palace of Granada, Spain, (a World Heritage site) has been damaged by earthquakes and slope instability. The western part of San Pedro Cliff, on the northern slope of the palace is a compound fault scarp — fault-line scarp, modified by river erosion and latterly by successive slab falls. The plane of the fault with the largest throw (c. 7 m) outcrops in the innermost part of the escarpment, and is a normal fault with a NW–SE strike and steep SE dip. It is part of a set outcropping along the Alhambra hill. Fault activity may be very recent, perhaps related to historical earthquakes. Seismic risk at the Alhambra is considered to be moderate: there is earthquake damage of the Arab walls and barrier. The most significant historical damage occurred in 1431 and partially collapsed the Arab barrier. Extension associated with the faults loosens the ground and contributes to slab falls. The faults are also preferential water paths. Both the many cracks of the walls and collapses of the Alhambra barrier appear concentrated and aligned with the fault set.Stability analyses suggest that the factor of safety of the San Pedro slope under 1000-yr-return-period earthquake loading may drop below 1.0 and the critical slip surface could penetrate the Alhambra walls. To raise the safety factor above 1.0 and to counteract extensional stress in the cliff, an apparently environmentally acceptable solution with minimal visual impact is proposed. It consists of high-yield-stress wire mesh, post-tensioned by anchors, and coloured to blend with the cliff.     

武警湖北省总队团职楼深基坑设计与施工

针对武警湖北省总队团职楼深基坑极为复杂的地质条件和周边环境,采用桩锚、锚喷网、放坡挂网喷砼和双排粉喷桩的联合支护方案,保证了基坑施工和周边建筑物及地下管线的安全,降低了工程成本,缩短了工期,取得了很好的经济效益和社会效益。     

Ideal Case Study of Adaptive Localization in Storm-scale Ensemble Kalman Filter Assimilation

This study explores the use of the hierarchical ensemble filter to determine the localized influence of ob-servations in the Weather Research and Forecasting ensemble square root filtering (WRF-EnSRF) assimilation system. With error correlations between observations and background field state variables considered, the adaptive localization approach is applied to conduct a series of ideal storm-scale data assimilation experiments using simulated Doppler radar data. Comparisons between adaptive and empirical localization methods are made, and the feasibility of adaptive locali-zation for storm-scale ensemble Kalman filter assimilation is demonstrated. Unlike empirical localization, which relies on prior knowledge of distance between observations and background field, the hierarchical ensemble filter provides con-tinuously updating localization influence weights adaptively. The adaptive scheme improves assimilation quality during rapid storm development and enhances assimilation of reflectivity observations. The characteristics of both the observation type and the storm development stage should be considered when identifying the most appropriate localization method. Ultimately, combining empirical and adaptive methods can optimize assimilation quality.     

Adaptive Wind Gust and Associated Gust-factor Model for the Gust-producing Weather over the Northern South China Sea

Wind gusts are common environmental hazards that can damage buildings, bridges, aircraft, and cruise ships and interrupt electric power distribution, air traffic, waterway transport and port operations. Accurately predicting peak wind gusts in numerical models is essential for saving lives and preventing economic losses. This study investigates the climatology of peak wind gusts and their associated gust factors(GFs) using observations in the coastal and open ocean of the northern South China Se...     

大气可降水量预测模型的自适应Kalmam滤波改进

针对现有可降水量预报模型存在预报精度不高等问题,该文提出采用方差分量估计自适应卡尔曼滤波对可降水量数据进行预处理,用以提高径向基神经网络预测模型的预测精度,从而形成高精度预报模型。通过比较不同基站不同时间的数据,分析使用方法的预报精度。实验结果表明:将预测模型应用于全国7个测站进行实验,预测相对精度的平均值可达95%以上,预报残差在10-5左右,残差值小于0.001的占90%以上。在影响因素方面,使用较短时间作为模型原始数据进行预测会得到较好的预测结果。实验证明本预测方法在预报大气可降水量值方面具有较高的精度。     

顾及框架点坐标误差的三维基准转换严密模型

框架点坐标是由观测数据通过平差得到的,不可避免地受到观测误差的影响。针对原框架和目标框架坐标均存在误差、非公共点与公共点间存在相关性,以及转换系数矩阵中仅部分元素存在误差的实际情况,提出了同时考虑框架内误差以及转换点间相关性的基准转换严密模型,该模型将公共点和非公共点联合处理,同时计算坐标转换参数和所有点的坐标转换值,推导出了新的严格坐标转换公式,该公式为传统坐标转换公式基础上增加一改正量的形式;进一步,推导了原框架和目标框架坐标的方差不一致情况下的坐标转换模型的自适应解法;最后,利用"陆态网络工程"2000个区域站的实测坐标进行坐标转换验证,结果表明,这种严密模型较传统坐标转换模型具有更高的坐标转换精度。