A hybrid artificial neural network-numerical model for ground water problems

Numerical models constitute the most advanced physical-based methods for modeling complex ground water systems. Spatial and/or temporal variability of aquifer parameters, boundary conditions, and initial conditions (for transient simulations) can be assigned across the numerical model domain. While this constitutes a powerful modeling advantage, it also presents the formidable challenge of overcoming parameter uncertainty, which, to date, has not been satisfactorily resolved, inevitably producing model prediction errors. In previous research, artificial neural networks (ANNs), developed with more accessible field data, have achieved excellent predictive accuracy over discrete stress periods at site-specific field locations in complex ground water systems. In an effort to combine the relative advantages of numerical models and ANNs, a new modeling paradigm is presented. The ANN models generate accurate predictions for a limited number of field locations. Appending them to a numerical model produces an overdetermined system of equations, which can be solved using a variety of mathematical techniques, potentially yielding more accurate numerical predictions. Mathematical theory and a simple two-dimensional example are presented to overview relevant mathematical and modeling issues. Two of the three methods for solving the overdetermined system achieved an overall improvement in numerical model accuracy for various levels of synthetic ANN errors using relatively few constrained head values (i.e., cells), which, while demonstrating promise, requires further research. This hybrid approach is not limited to ANN technology; it can be used with other approaches for improving numerical model predictions, such as regression or support vector machines (SVMs).     

Mineralogical and Petrological Characteristics of the Neoproterozoic Orthoamphibolite and Orthogneisses in the Mutki Area, the Bitlis Massif, Southeast Turkey

<正>The rocks form as amphibolite±garnet±epidote and orthogneisses in the Pan-African basement of the Bitlis Massif.The petrochemical data of the studied metamorphic rocks suggest different igneous protoliths ranging from calcalkaline basalt to andesite in composition. Petrochemically,the rocks can be classified as group 1(low Zr and La) and group 2(high Zr and La), all showing various enrichments in large ion lithophiles and light rare earth elements,and a depletion in high-field strength elements,suggestive of a destructive plate margin setting.The protoliths of the all samples might have formed mostly by the partial melting of an enriched source,possibly coupled with the fractional crystallization of plagioclase,apatite,and titaniferous magnetite±olivine±clinopyroxene±amphibole in relation with subduction-related magmatism neighboring the Andeantype active margins of Gondwana.The group 2 samples could,however,be generated by a relatively lower degree of the partial melting of an inhomogeneous source with a preponderance of a high-level, fractional crystallization process in comparison to group 1.The protoliths of the samples were metamorphosed up to amphibolite facies conditions,which destroys original igneous texture and mineral assemblages.Geothermobarometric calculations show that the metamorphic rocks are finally equilibrated between 540 and 610℃and～5 kbars,following a clockwise P-T-t path.     

钻孔应变仪的固体潮标定——消除小尺度不均匀性的影响

通过对Pion Flat观测点的Gladwin钻孔张量应变仪(BTSM)进行固体潮标定得到的应变数据,我们对地应变进行了估算并分析。小尺度地质上的不均匀性是通过远场面应变/剪应变的交互耦合方法考察面应变/剪应变时所要考虑的因素之一。一种将交互耦合引入应变仪标定的方法由此而生。以同一位置激光应变仪(LSM)观测的固体潮应变为参考,我们发现用交互耦合方法对BTSM标定消除了钻孔固体潮观测值应变中近30%的系统误差。这种标定将钻孔应变和激光应变的测量精度(大约1km)准确地联系在一起了。这种标定技术为短基线应变测量中面临的主要问题(构造应变不能表征小尺度的非均匀性)提供了解决方法。这种方法在断层滑移的残余应变测量中可能减少50%甚至更高的误差,并允许增加滑移机制的约束条件。我们发现就目前仪器而得出的固体潮应变的理论估计值来进行交互耦合标定还不够精确。将理论固体潮与激光应变仪(LSM)观测的固体潮进行比照发现,至少有一半的误差产生于对海洋负荷潮的估计。     

http://www.sciencedirect.com/science/article/pii/S1674987114000255

Geophysical studies point to a complex tectonic and geodynamic evolution of the Alboran Basin and Gulf of Cadiz.Tomographic images show strong seismic waves velocity contrasts in the upper mantle.The high velocity anomaly beneath the Alboran Sea recovered by a number of studies is now a well established feature.Several geodynamic reconstructions have been proposed also on the base of these images.We present and elaborate on results coming from a recent tomography study which concentrates on both the Alboran and the adjacent Atlantic region.These new results,while they confirm the existence of the fast anomaly below the Alboran region,also show interesting features of the lithosphere-asthenosphere system below the Atlantic.A high velocity body is imaged roughly below the Horseshoe Abyssal plain down to sub-lithospheric depths.This feature suggests either a possible initiation or relic subduction.Pronounced low velocity anomalies pervade the upper mantle below the Atlantic region and separate the lithospheres of the two regions.We also notice a strong change of the upper mantle velocity structure going from south to north across the Gorringe Bank.This variation in structure could be related to the different evolution in the opening of the central and northern Atlantic oceans.     

高清气象影视虚拟演播室系统设计与调试

以华风集团高清虚拟演播室建设项目为案例,论述了高清虚拟演播室技术在系统建设、系统调试、天气预报节目业务实现环节需要重点解决的几个问题和难点。根据气象电视节目制作要求,在从虚拟演播室系统系统建设到节目制作业务化的整个过程中,重点解决了音频系统延时量计算、绿箱景区施工、绿箱景区灯光布局、绿箱色键抠像调试、摄像机定位与跟踪调试、气象数据调用与转换共6个关键性技术问题。此次业务系统实践的成功是虚拟演播室技术在全国气象影视行业高清节目制作中的应用和推广的很好尝试。