Singular value decomposition and cluster analysis as regression diagnostics tools for geodetic applications

It is well known that high-leverage observations significantly affect the estimation of parameters. In geodetic literature, mainly redundancy numbers are used for the detection of single high-leverage observations or of single redundant observations. In this paper a further objective method for the detection of groups of important and less important (and thus redundant) observations is developed. In addition, the parameters which are predominantly affected by these groups of observations are identified. This method thus complements other diagnostics tools, such as, e.g., multiple row diagnostics methods as described in statistical literature (see, e.g., Belsley et al. in Regression diagnostics: identifying influential data and sources of collinearity. Wiley, New York, 1980). The method proposed in this paper is based on geometric aspects of adjustment theory and uses the singular value decomposition of the design matrix of an adjustment problem together with cluster analysis methods for regression diagnostics. It can be applied to any geodetic adjustment problem and can be used for the detection of (groups of) observations that significantly affect the estimated parameters or that are of negligible impact. One of the advantages of the proposed method is the improvement of the reliability of observation plans and thus the reduction of the impact of individual observations (and outliers) on the estimated parameters. This is of particular importance for the very long baseline interferometry technique which serves as an application example of the regression diagnostics tool.     

不规则边界场地中方格法土方工程量的计算

结合方格法计算土方工程量的全过程,介绍了一种不同于传统教材的确定高程权的方法。采用该方法,比较好地解决了不规则边界场地采用方格法计算土方量的难题,对该方法的实际应用具有指导意义。     

Seasonality and duration in extreme value distributions of significant wave height

This paper presents a statistical model to characterize the long-term extreme value distribution of significant wave height, conditioning to the duration of the storm and accounting for seasonality. A time-dependent version of the peak over threshold (POT) approach is used to build the model, which is then applied to specific reanalysis time series and NOAA buoy records. The model considers the annual and semiannual cycles which are parameterized in terms of harmonic functions. The inclusion of seasonal variabilities substantially reduces the residuals of the fitted model. The information obtained in this study can be useful to design maritime works, because (a) the model improves the understanding of the variability of extreme wave climate along a year and (b) the model accounts for the duration of the storm, which is a key parameter in several formulations for rubble mound breakwater design.     

Comparison of ecophysiological characteristics between introduced and indigenous mangrove species in China

Due to its rapid growth, the introduced mangrove species Sonneratia apetala from Bangladesh has been widely used in mangrove restoration in southeastern China since 1985. As an indigenous mangrove species in Hainan, China, Sonneratia caseolaris was also planted in Guangdong Province for afforestation purposes. Both species have developed well in their new habitats, but their ecophysiological differences with the native mangrove species have not been studied. In this study, leaf gas exchange, water and nitrogen use efficiencies of two Sonneratia species were compared with those of selected native mangrove species (Avicennia marina, Aegiceras corniculatum, Kandelia candel, and Excoecaria agallocha) in Hainan and Shenzhen. The introduced S. apetala maintained lower carbon assimilation rate (A) and photosynthetic nitrogen use efficiency (PNUE) than the indigenous S. caseolaris. In Shenzhen, the two introduced Sonneratia had comparable photosynthetic rates and water use efficiency (WUE) with the native mangrove species, except that PNUE in S. caseolaris was significantly higher than in the native mangrove species. The two Sonneratia species showed significant overlap in PNUE and long-term WUE. Photosynthetic parameters derived from leaf photosynthetic light–response curves and A–C_i curves also suggested lower carbon assimilation capacities for the introduced Sonneratia than for the native mangrove species in both study sites. The lower light compensation point (LCP) of two introduced Sonneratia in both study sites also indicated a better adaptation to a low light regime than the native mangrove species. The results of photosynthetic capacities indicated that the introduced mangrove species have little competitive advantage over local native mangrove species in their respective new habitats.     

尖刀蛏生化成分和营养价值评价

分析了尖刀蛏(Cultelles scalprum)肉的生化成分,并对其营养价值进行评定.结果显示:尖刀蛏的含肉率为60.3%,鲜肉中的水分、蛋白质、脂肪和灰分含量分别为84.21%、10.85%、1.31%和1.71%,人体必需氨基酸占氨基酸总量的37.3%,不饱和脂肪酸含量占总脂肪的43.1%,其中廿碳五烯酸(C20:5,EPA)和廿二碳六烯酸(C22:6,DHA)的含量分别占总脂肪的7.8%和15.7%.研究结果表明,尖刀蛏含肉率高,营养丰富,有较高的营养价值和保健价值.     

基坑及周边建筑物变形监测方案

结合某基坑变形监测项目,从观测墩及觇牌的设计、观测方法、精度估计等方面对基坑水平位移观测进行了介绍,并介绍了利用差异沉降量推算法进行倾斜观测的方法.     

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无锡五里湖环境综合整治对旅游价值的影响评估

条件价值法是目前环境经济价值货币化评估中最为广泛应用的方法.以无锡市五里湖环境综合整治为例,在对条件价值法回顾总结的基础上,通过对受益周边地区居民及外地游客的面对面直接问卷调查,对周边旅游环境的改善所带来的旅游支付意愿及影响因素进行了评估和分析,结果表明:(1)游客对五里湖综合整治后总的支付意愿为2.49亿元/年,比整治前多0.68亿元/年,占当地旅游总收入的1.49%;(2)游客的支付意愿与其收入成正比,与其年龄也基本为正相关关系,而与其受教育程度的关系比较复杂;(3)游客对五里湖景区满意度表现最差的是娱乐设施,其次是购物、住宿的便利性和水面的表观形象,表现最好的是空气质量和其安静的氛围.本文最后对本次采用的调查方法与国内外广泛应用的双边界二分式CVM进行了有益的对比和讨论,并对环境综合整治为当地带来的经济和社会绩效提出了期望,以期为其相应的政策措施的制定和环境资源资本的运作及管理提供理论依据.     

单点高频地波雷达资料估算潮能耗散的方法

使用嵊泗站所布设的地波雷达观测获取的径向流数据,以及嵊泗、芦潮港、岱山3个潮汐观测站水位资料,采用两点近似投影方法反演流场全矢量流速,并用T-Tide程序计算调和常数,分别计算O1、K1、M2、S2各分潮流速场及迟角场,并计算各点上的潮能通量及潮能耗散,得到嵊泗岛以西杭州湾口区域潮能耗散同地形存在良好对应关系,充分证明了采用地波雷达观测数据进行潮能耗散计算这一方法的可行性,供相关工作者作进一步研究和讨论.     

利用DINEOF方法重构缺测的卫星遥感海温数据

针对海温数据补缺问题提出一种基于经验正交函数(EOF)分解的缺测数据重构方法--经验正交函数插值法(DINEOF).此方法是一种自适应的EOF分解方法,不需要任何先验信息,并且能估算出重构数据的误差大小.奇异值(SVD)分解时采用了Lanczos算子以提高计算速度,并利用了交叉验证的算法以确定出重构时所需最优的EOF阶数.实测数据处理结果表明,DINEOF方法能很好地重构大面积的缺测数据,具有较高精度及实际可操作性.