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Geostatistical interpolation of object counts collected from multiple strip transects: Ordinary kriging versus finite domain kriging 总被引：2，自引：0，他引：2
Hirotaka Saito Sean A. McKenna D. A. Zimmerman Timothy C. Coburn 《Stochastic Environmental Research and Risk Assessment (SERRA)》2005,19(1):71-85
Data collected along transects are becoming more common in environmental studies as indirect measurement devices, such as geophysical sensors, that can be attached to mobile platforms become more prevalent. Because exhaustive sampling is not always possible under constraints of time and costs, geostatistical interpolation techniques are used to estimate unknown values at unsampled locations from transect data. It is known that outlying observations can receive significantly greater ordinary kriging weights than centrally located observations when the data are contiguously aligned along a transect within a finite search window. Deutsch (1994) proposed a kriging algorithm, finite domain kriging, that uses a redundancy measure in place of the covariance function in the data-to-data kriging matrix to address the problem of overweighting the outlying observations. This paper compares the performances of two kriging techniques, ordinary kriging (OK) and finite domain kriging (FDK), on examining unexploded ordnance (UXO) densities by comparing prediction errors at unsampled locations. The impact of sampling design on object count prediction is also investigated using data collected from transects and at random locations. The Poisson process is used to model the spatial distribution of UXO for three 5000 × 5000 m fields; one of which does not have any ordnance target (homogeneous field), while the other two sites have an ordnance target in the center of the site (isotropic and anisotropic fields). In general, for a given sampling transects width, the differences between OK and FDK in terms of the mean error and the mean square error are not significant regardless of the sampled area and the choice of the field. When 20% or more of the site is sampled, the estimation of object counts is unbiased on average for all three fields regardless of the choice of the transect width and the choice of the kriging algorithm. However, for non-homogeneous fields (isotropic and anisotropic fields), the mean error fluctuates considerably when a small number of transects are sampled. The difference between the transect sampling and the random sampling in terms of prediction errors becomes almost negligible if more than 20% of the site is sampled. Overall, FDK is no better than OK in terms of the prediction performances when the transect sampling procedure is used. 相似文献
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The accurate location of the injection-induced microearthquakes in German Continental Deep Drilling Program 总被引：1，自引：0，他引：1
Introduction The scientific drilling belongs to the International Lithosphere Program and is one of the four lithospheres explorations. So far there are more than ten countries, which have taken the scientific drilling. The German Continental Deep Drilling Program was later than the others and is the sec-ond deep drilling, but is the most significant scientific super deep drilling in the world. The Ger-man Continental Deep Drilling Program (Kontinentales Tiefbohrprogram der Bundesrepub… 相似文献
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2000年8月21日～10月20日，德国大陆超深钻井(KTB)进行了为期60天的新一轮注水诱发地震实验．在对KTB台网所记录到的2 700多次地震的原始波形进行分析和处理的基础上，对其中的237次地震进行了精确定位．定位时，先采用和达法剔除了误识的非KTB诱发地震事件；然后，使用大折刀法求得了台站偏差的最佳值，以及中误差和平均误差；最后应用Geiger法进行修定，从而保证了237个事件定位的中误差达到0.1 km的高精度．定位结果显示，在大于9.3 km(几乎是主井底的深度)没有发生诱发地震．这一现象表明，在这个深度，应力可能低于摩擦强度，以至于由注水引起的孔隙压力的变化不足以诱发地震；在这样的深度不存在可渗透的、取向恰当的断层．这个深度也可能是这一区域内的地震活动性的最大深度，即在这一相对稳定地区的板块内部，主井底已接近脆-延性转换带．并用实验室的结果和超深钻井中所观测到的热流值资料解释了这一现象． 相似文献
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近三十年来曹妃甸岸线岛体时空演变特征分析 总被引：2，自引：1，他引：1
在对1979年、1987年、1991年、1997年、2002年-2005年、2008年、2012年十个时期曹妃甸遥感影像图解译的基础上,从自然地理学角度对岸线和岛体历史演变趋势进行系统分析,得到曹妃甸岸线和岛体动态变化。研究结果显示,曹妃甸岛体面积在近半个世纪发生了较大的变化,由0.34 km2增加为227.34 km2;岸线整体表现为向海推进,1979年曹妃甸陆域岸线25.21%为自然岸线,之后自然岸线比例逐渐减少,自2002年起人工岸线占据了曹妃甸陆域岸线的全部,2012年岛体整体人工岸线长度较1989年自然岸线增长10倍之多;岛体在自然演变时期呈现中部侵蚀、两端淤积、端点延长、西向漂移且中心点逐步向大陆靠拢的变化特征,自2005年起自然状态岛体已不复存在。 相似文献
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The cumulative distribution function (CDF) of magnitude of seismic events is one of the most important probabilistic characteristics in Probabilistic Seismic Hazard Analysis (PSHA). The magnitude distribution of mining induced seismicity is complex. Therefore, it is estimated using kernel nonparametric estimators. Because of its model-free character the nonparametric approach cannot, however, provide confidence interval estimates for CDF using the classical methods of mathematical statistics.To assess errors in the seismic events magnitude estimation, and thereby in the seismic hazard parameters evaluation in the nonparametric approach, we propose the use of the resampling methods. Resampling techniques applied to a one dataset provide many replicas of this sample, which preserve its probabilistic properties. In order to estimate the confidence intervals for the CDF of magnitude, we have developed an algorithm based on the bias corrected and accelerated method (BCa method). This procedure uses the smoothed bootstrap and second-order bootstrap samples. We refer to this algorithm as the iterated BCa method. The algorithm performance is illustrated through the analysis of Monte Carlo simulated seismic event catalogues and actual data from an underground copper mine in the Legnica–Głogów Copper District in Poland.The studies show that the iterated BCa technique provides satisfactory results regardless of the sample size and actual shape of the magnitude distribution. 相似文献
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We propose and validate a new sampling method to assess the presence, abundance and distribution of macrophytes in circular-shaped lakes according to the requirements of the Water Framework Directive (WFD2000/60/EC). The results of the macrophyte survey, and in particular of macrophyte diversity, obtained using this method are also discussed.The sampling is based on randomly selected transects homogeneously distributed around the perimeter of the lake. The number of transects is proportional to the lake's size. The method was validated on six Italian volcanic lakes using computational resampling procedures on a total of 126 transects.Using resampling procedures, we show that the proposed approach identifies more than 75% of the overall species richness through a moderate sampling effort. According to our results, Charophytes dominate aquatic vegetation in Italian volcanic lakes. Species diversity is highest at shallow depths, whereas the most abundant species, such as Chara polyacantha, are located at an intermediate depth between the shoreline and the maximum growing depth. 相似文献
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Quantifying uncertainty in extreme values of design parameters with resampling techniques 总被引：1，自引：0，他引：1
In this paper, a methodology for the selection of statistical models for describing the extreme wave heights on the basis of resampling techniques is presented. Two such techniques are evaluated: the jackknife and the bootstrap. The methods are applied to two high-quality datasets of wave measurements in the Mediterranean and one from the East Coast of the USA. The robustness of the estimates of the extreme values of wave heights at return periods important for coastal engineering design is explored further. In particular, we demonstrate how an ensemble error norm can be used to select the most appropriate extreme probability model from a choice of cumulative distribution functions (CDFs). This error norm is based on the mean error norm of the optimised CDF for each resampled (replicate) data series. The resampling approach is also used to present confidence intervals of the CDF parameters. We provide a brief discussion of the sensitivity of these parameters and the suitability of each model in terms of uncertainty with resampling techniques. The advantages of resampling are outlined, and the superiority of the bootstrap over the jackknife in quantifying the uncertainty of extreme quantiles is demonstrated for these records. 相似文献
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