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排序方式: 共有237条查询结果,搜索用时 31 毫秒
81.
为了实现基于多源WFS服务要素层次的语义检索,提出了一个要素本体的五元模型。在此框架下,研究了要素本体的自动构建方法,形式化定义了要素的空间关系,并扩展了逻辑关系以及空间关系的推理规则来实现要素层次的联合推理检索,并给出了联合规则推理的要素语义检索算法。实例证明,本文方法对多源WFS的语义查询具有实际的可行性,为多源WFS服务要素的语义检索提供了一个新的方法。 相似文献
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Sediment source apportionment in Laurel Hill Creek,PA, using Bayesian chemical mass balance and isotope fingerprinting 总被引:2,自引:0,他引:2
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A Bayesian chemical mass balance (CMB) approach was used to assess the contribution of potential sources for fluvial samples from Laurel Hill Creek in southwest Pennsylvania. The Bayesian approach provides joint probability density functions of the sources' contributions considering the uncertainties due to source and fluvial sample heterogeneity and measurement error. Both elemental profiles of sources and fluvial samples and 13C and 15N isotopes were used for source apportionment. The sources considered include stream bank erosion, forest, roads and agriculture (pasture and cropland). Agriculture was found to have the largest contribution, followed by stream bank erosion. Also, road erosion was found to have a significant contribution in three of the samples collected during lower‐intensity rain events. The source apportionment was performed with and without isotopes. The results were largely consistent; however, the use of isotopes was found to slightly increase the uncertainty in most of the cases. The correlation analysis between the contributions of sources shows strong correlations between stream bank and agriculture, whereas roads and forest seem to be less correlated to other sources. Thus, the method was better able to estimate road and forest contributions independently. The hypothesis that the contributions of sources are not seasonally changing was tested by assuming that all ten fluvial samples had the same source contributions. This hypothesis was rejected, demonstrating a significant seasonal variation in the sources of sediments in the stream. Copyright © 2014 John Wiley & Sons, Ltd. 相似文献
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本文采用模糊逻辑推理方法对地下水位进行预测,收到较好的效果,该方法与其它方法相比提高了预测精度,简化了计算方法。 相似文献
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The Uncertainty in the True End Point of a Fossil's Stratigraphic Range When Stratigraphic Sections Are Sampled Discretely 总被引:1,自引:0,他引:1
Stratigraphic sections are often sampled at well-defined discrete points. Because of the incompleteness of the fossil record, a particular species may not be observed even when it is extant at a sampling point. We introduce a model and Bayesian analysis for estimating the true time of disappearance of a lineage from a section in the face of the possibility that failure to find the species beyond its observed stratigraphic range may represent false negatives. We incorporate proper prior information, including an estimated longevity of the species and the probability that it will be observed if extant. Our analysis produces a posterior density for the true extinction time of the species. Summaries of this probability distribution provide a point estimate of the extinction time, a standard deviation for the uncertainty in the estimate, and confidence intervals for the time of extinction. We apply our model to stratigraphic ranges of benthic foraminifera collected from the early Late Cretaceous (Cenomanian and Turonian) from Eastbourne, England. 相似文献
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Hugo K.H.Olierook Richard Scalzo David Kohn Rohitash Chandra Ehsan Farahbakhsh Chris Clark Steven M.Reddy R.Dietmar Müller 《地学前缘(英文版)》2021,12(1):479-493
Traditional approaches to develop 3D geological models employ a mix of quantitative and qualitative scientific techniques,which do not fully provide quantification of uncertainty in the constructed models and fail to optimally weight geological field observations against constraints from geophysical data.Here,using the Bayesian Obsidian software package,we develop a methodology to fuse lithostratigraphic field observations with aeromagnetic and gravity data to build a 3D model in a small(13.5 km×13.5 km)region of the Gascoyne Province,Western Australia.Our approach is validated by comparing 3D model results to independently-constrained geological maps and cross-sections produced by the Geological Survey of Western Australia.By fusing geological field data with aeromagnetic and gravity surveys,we show that 89%of the modelled region has>95%certainty for a particular geological unit for the given model and data.The boundaries between geological units are characterized by narrow regions with<95%certainty,which are typically 400-1000 m wide at the Earth's surface and 500-2000 m wide at depth.Beyond~4 km depth,the model requires geophysical survey data with longer wavelengths(e.g.,active seismic)to constrain the deeper subsurface.Although Obsidian was originally built for sedimentary basin problems,there is reasonable applicability to deformed terranes such as the Gascoyne Province.Ultimately,modification of the Bayesian engine to incorporate structural data will aid in developing more robust 3D models.Nevertheless,our results show that surface geological observations fused with geophysical survey data can yield reasonable 3D geological models with narrow uncertainty regions at the surface and shallow subsurface,which will be especially valuable for mineral exploration and the development of 3D geological models under cover. 相似文献
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油裂解型气源灶是一种特殊的气源灶,是优质生烃母质在成气过程中派生出的。烃源岩生成的油主要有3种赋存形式:源内分散状液态烃、源外分散状液态烃和源外富集型液态烃。3种赋存状态液态烃的数量及分配比例受内因和外因多种因素控制,就排油率而言,有机碳含量分别为0.67%、0.62%和10.6%的泥岩、灰岩和油页岩,最大排油率分别为45%、55%和80%。原油与不同介质配样的生气动力学实验表明,不同介质条件下甲烷的生成活化能分布有差异,碳酸盐岩对油裂解条件影响最大,可大大降低其活化能,导致原油裂解热学条件降低,体现为油裂解温度的降低;泥岩次之,砂岩影响最小。碳酸盐岩、泥岩和砂岩对油的催化裂解作用依次减弱,不同介质条件下主生气期对应的Ro值:纯原油1.5%~3.8%;碳酸盐岩中的分散原油1.2%~3.2%;泥岩中的分散原油1.3%~3.4%;砂岩中的分散原油1.4%~3.6%。油裂解型气源灶是一种中间体,可以直观看到的是原生气源灶和由此形成的气藏,而对油裂解型气源灶的赋存形式、分布范围、成气数量和储量规模等问题,只能通过正演和反演的研究去确定且相互映证。正演研究以塔里木盆地中下寒武统为例,原始生油量2232.24×108t,剩余油量806.21×108t,油裂解气量106.95×1012m3。反演研究以川东北飞仙关组白云岩中油裂解气为例,圈定的古油藏面积约735km2,古油藏原油数量45×108t,油裂解气量及油裂解气资源量分别为2.72×1012m3和1.36×1012m3。 相似文献
90.
Setting minimum head capsule abundance and taxa deletion criteria in chironomid-based inference models 总被引:6,自引:0,他引:6
Criteria for removing training set lakes and taxa in chironomidbased inference models, due to low abundances, have largely been ad hoc. We used an anoxia inference model and a hypolimnetic oxygen model from southcentral Ontario to determine what effect subfossil head capsule abundance and taxa deletion criteria have on fossil inference statistics. Results from six training set lakes suggest that a minimum abundance of 40–50 head capsules is sufficient for use in inference models, however more diverse samples likely require more than 50 head capsules. Taxa deletion criteria substantially improved the predictive ability of inference models (lowered the root mean squared error of prediction (RMSEP)). The common practice of including taxa with only 2% abundance in at least two lakes was one of the deletion criteria that much improved inference models. Similar deletion criteria, such as 2% in at least 3 lakes and 3% in at least 1 lake, produced comparable improvements (up to 18% reduction in RMSEP). 相似文献