Biogenic volatile compound emissions from a temperate forest,China: model simulation

Emissions of biogenic volatile organic compounds (BVOC) were measured using a relaxed eddy accumulation (REA) technique on an above-canopy tower in a temperate forest (Changbai Mountain, Jilin province, China) during the 2010 and 2011 summer seasons. Solar global radiation and photosynthetically active radiation (PAR) were also measured. Based on PAR energy dynamic balance, an empirical BVOC emission and PAR transfer model was developed that includes the processes of BVOC emissions and PAR transfer above the canopy level, including PAR absorption and consumption, and scattering by gases, liquids, and particles (GLPs). Simulated emissions of isoprene and monoterpenes were in agreement with observations. The averages of the relative estimator biases for the flux were 39.3 % for isoprene, and 27.1 % for monoterpenes in the 2010 and 2011 growing seasons, with NMSE (normalized mean square error) values of 0.133 and 0.101, respectively. The observed and simulated mean diurnal variations of isoprene and monoterpenes in the 2010 and 2011 growing seasons were evaluated for the validation of the empirical model. Under observed atmospheric conditions, the sensitivity analysis showed that emissions of isoprene and monoterpenes were more sensitive to changes in PAR than to water vapor content or to the magnitude of the scattering factor. The emissions of isoprene and monoterpenes in the 2010 and 2011 growing seasons (from June to September) were estimated using this empirical model along with hourly observational data, with mean hourly emissions of 1.71 and 1.55 mg m^?2 h^?1 for isoprene, and 0.48 and 0.47 mg m^?2 h^?1 for monoterpenes in 2010 and 2011, respectively. As formaldehyde (HCHO) is considered as the main oxidation product of isoprene and monoterpenes, it is necessary to investigate the link between HCHO and BVOC emissions. GOME-2 HCHO vertical column densities (VCDs) can be used to estimate BVOC emission fluxes in the Changbai Mountain temperate forest.     

台风莫拉菲(2009)登陆前后电荷结构演变的模拟研究

利用中尺度起电放电模式以及卫星和闪电定位等观测资料,对比分析了台风莫拉菲（2009）在登陆前后以及衰亡阶段的电荷结构及形成。结果表明：莫拉菲在登陆前存在近海加强过程,加强中逐渐形成清晰的台风眼并伴随眼壁区闪电活动的多发。眼壁区对流在近海加强阶段呈现正的三极性电荷结构,主负电荷区位于-25℃——10℃层,其上下各有一个正电荷区。而在台风达到最大强度后呈现负的偶极性电荷结构,仅存在云中部的负电荷区和下部的正电荷区。眼壁区对流的电荷结构同台风强度变化密切相关而不受登陆直接影响。在台风发展的不同阶段,外螺旋雨带对流主要表现为正的三极性或正的偶极性电荷结构,之前的研究一般认为外雨带对流只能呈现正的偶极性电结构。外雨带三极性电结构的形成可以类似于眼壁区三极性结构的形成,也存在其他形成机制,即在霰粒子与冰晶组成的正偶极性电荷结构下存在一个由雹粒子组成的正电荷区,从而形成正的三极性电荷结构。台风衰亡阶段对流主要表现负的偶极性电荷结构,对流活动较弱,类似于陆地雷暴消散阶段的特性。不同类型的电荷结构所对应对流的相对强度也在文内进行了讨论。     

鄂尔多斯盆地纳岭沟铀矿床绿泥石特征及地质意义

纳岭沟铀矿床位于鄂尔多斯盆地北部,具有明显的后期热液作用的特征,矿体空间展布主要受控于绿色-灰色砂岩的过渡界面,与绿泥石化的蚀变砂岩关系密切。通过对纳岭沟铀矿床不同颜色砂岩中的绿泥石进行详细的岩相学研究和电子探针化学成分分析,依据绿泥石的成因与共生矿物的关系,识别出绿泥石主要的3种类型:填隙物型绿泥石,片状与黄铁矿共生型绿泥石以及黑云母蚀变型绿泥石;同时通过绿泥石的Fe-Si图解确定了纳岭沟铀矿床不同颜色砂岩中的绿泥石主要为铁镁绿泥石和密绿泥石。根据Al/(Fe+Mg+Al)-Mg/(Fe+Mg)的关系图解确定出不同颜色砂岩中的绿泥石具有铁镁质流体和泥质两种来源,通过绿泥石中主要阳离子与镁的关系图解和计算得出的绿泥石形成温度共同确定出绿泥石是多期次的中低温热液流体作用的产物。综合研究表明,纳岭沟铀矿床的绿泥石形成至少经历了温度稍高的还原性流体和温度稍低的氧化性流体等两个期次的流体作用,稍高温的还原性流体与成矿关系更为重要。与绿泥石形成有关的热液流体作用不仅带入了部分铀,还促进了铀的活化和运移。     

Initiation of large-volume silicic centers in the Yellowstone hotspot track: insights from H<Subscript>2</Subscript>O- and F-rich quartz-hosted rhyolitic melt inclusions in the Arbon Valley Tuff of the Snake River Plain

During the onset of caldera cluster volcanism at a new location in the Snake River Plain (SRP), there is an increase in basalt fluxing into the crust and diverse silicic volcanic products are generated. The SRP contains abundant and compositionally diverse hot, dry, and often low-δ¹⁸O silicic volcanic rocks produced through time during the formation of individual caldera clusters, but more H₂O-rich eruptive products are rare. We report analyses of quartz-hosted melt inclusions from pumice clasts from the upper and lower Arbon Valley Tuff (AVT) to gain insight into the initiation of caldera cluster volcanism. The AVT, a voluminous, caldera-forming rhyolite, represents the commencement of volcanism (10.44 Ma) at the Picabo volcanic field of the Yellowstone hotspot track. This is a normal δ¹⁸O rhyolite consisting of early and late erupted members (lower and upper AVT, respectively) with extremely radiogenic Sr isotopes and unradiogenic Nd isotopes, requiring that ~50 % of the mass of these elements is derived from melts of Archean upper crust. Our data reveal distinctive features of the early erupted lower AVT melt including: variable F concentrations up to 1.4 wt%, homogenous and low Cl concentrations (~0.08 wt%), H₂O contents ranging from 2.3 to 6.4 wt%, CO₂ contents ranging from 79 to 410 ppm, and enrichment of incompatible elements compared to the late erupted AVT, subsequent Picabo rhyolites, SRP rhyolites, and melt inclusions from other metaluminous rhyolites (e.g., Bishop Tuff, Mesa Falls Tuff). We couple melt inclusion data with Ti measurements and cathodoluminescence (CL) imaging of the host quartz phenocrysts to elucidate the petrogenetic evolution of the AVT rhyolitic magma. We observe complex and multistage CL zoning patterns, the most critical being multiple truncations indicative of several dissolution–reprecipitation episodes with bright CL cores (higher Ti) and occasional bright CL rims (higher Ti). We interpret the high H₂O, F, F/Cl, and incompatible trace element concentrations in the context of a model involving melting of Archean crust and mixing of the crustal melt with basaltic differentiates, followed by multiple stages of fractional crystallization, remelting, and melt extraction. This multistage process, which we refer to as distillation, is further supported by the complex CL zoning patterns in quartz. We interpret new Δ¹⁸O(Qz-Mt) isotope measurements, demonstrating a 0.4 ‰ or ~180 °C temperature difference, and strong Sr isotopic and chemical differences between the upper and lower AVT to represent two separate eruptions. Similarities between the AVT and the first caldera-forming eruptions of other caldera clusters in the SRP (Yellowstone, Heise and Bruneau Jarbidge) suggest that the more evolved, lower-temperature, more H₂O-rich rhyolites of the SRP are important in the initiation of a caldera cluster during the onset of plume impingement.     

GPS 高程转换的总体最小二乘组合方法

在现有GPS高程转换的研究中,通常只采用单一的解算方法,然而,不同的计算方法由于适用的条件不同,在对同一组数据进行解算时,解算的精度也各有优劣。针对以上问题,文中提出GPS高程转换的总体最小二乘组合方法,对多种不同的高程转换方法进行组合,运用总体最小二乘法计算不同方法的权值,结合实际工程数据,验证该方法的可行性。计算结果表明,提出的方法能够有效地提高高程转换精度。     

现代专题地图制图研究进展与趋势分析

针对专题地图制作相关研究不足的问题,该文通过归纳总结专题地图理论与应用、网络共享等方面的研究进展,从功能转变、模式转变和内涵冲击三方面分析专题地图研究趋势,并探讨现有制图理论技术存在的不足之处。文章认为:研究专题地图符号的内在结构及统一构建方式,在符号学和微观语言学的理论框架下建立专题符号句法模式,注重对专题地图符号模型的整体描述,并通过相应制图模型的研究来优化制图过程,发掘和创新制图理论成果,将会促进专题地图理论的完善,深化专题符号的自适应表达。     

基于三维激光扫描的雕像建模与贴图

在完成雕像三维建模的基础上,提出了一种结合CG动画软件ZBrush完成模型后期贴图的制作,实现了CG动画和传统三维建模的结合,最终得到了较好的效果。解决了Geomagic和3ds Max主流贴图软件对于不规则模型可能出现的贴图接缝问题,并指出了相关的注意事项,为三维激光扫描技术在三维建模及古物重建等方面的应用提供了案例参考。     

一种裸露土壤湿度反演方法

针对目前土壤湿度反演方法研究较少且缺少实时性的现状,该文提出一种土壤湿度反演方法——最小二乘支持向量机技术。以积分方程模型为正向算法,数值模拟不同雷达参数(频率、入射角及极化)下后向散射系数随土壤含水量和地表粗糙度的变化情况。经过数据敏感性分析,选取C-波段和X-波段、小入射角下的同极化后向散射系数作为支持向量回归的训练样本信息;经过适当的训练,利用支持向量回归技术对土壤含水量进行了反演研究;并考虑通过多频率、多极化、多入射角数据的组合,消除地表粗糙度的影响,提高反演精度。模拟结果表明,该方法反演土壤湿度具有较高的精度和较好的实时性;同时,与人工神经网络方法的结果比较,证明了该方法的有效性,为土壤湿度的反演研究提供了一种方法。     

Grid pattern recognition in road networks using the C4.5 algorithm

Pattern recognition in road networks can be used for different applications, including spatiotemporal data mining, automated map generalization, data matching of different levels of detail, and other important research topics. Grid patterns are a common pattern type. This paper proposes and implements a method for grid pattern recognition based on the idea of mesh classification through a supervised learning process. To train the classifier, training datasets are selected from worldwide city samples with different cultural, historical, and geographical environments. Meshes are subsequently labeled as composing or noncomposing grids by participants in an experiment, and the mesh measures are defined while accounting for the mesh’s individual characteristics and spatial context. The classifier is generated using the C4.5 algorithm. The accuracy of the classifier is evaluated using Kappa statistics and the overall rate of correctness. The average Kappa value is approximately 0.74, which corresponds to a total accuracy of 87.5%. Additionally, the rationality of the classifier is evaluated in an interpretation step. Two other existing grid pattern recognition methods were also tested on the datasets, and comparison results indicate that our approach is effective in identifying grid patterns in road networks.     

Recursive algorithm for fast GNSS orbit fitting

Gaussian elimination is an efficient and numerically stable algorithm for estimating parameters and their precision. However, before estimating the parameters, it is often prudent to perform statistical tests to achieve the best fitting model. We use Gaussian elimination to select the best fitting model among candidate models. A succinct relationship between the weighted sum of squared residuals and the previous one is revealed by a volume formula. For quick parameter estimation and determination of weighted sum of squared residuals, a recursive elimination algorithm is proposed in the context of Gaussian elimination. In order to improve the model selection efficiency, the parameter estimation and the determination of the weighted sum of squared residuals are carried out in parallel using the proposed recursive elimination algorithm in which the improvement at each recursive stage is judged by the Bayesian information criterion. Ultimately, the computational complexity and numerical stability of the recursive elimination proposed are briefly discussed, and a GNSS orbit interpolation example is used to verify the results. It shows that the proposed recursive elimination algorithm inherits the numerical stability of the Gaussian elimination, and this algorithm can be used to examine the gain from the newly introduced parameter, dynamically assess the fitting model, and fix the optimal model efficiently. The optimal fitting model with the lowest information is very close to the real situation verified by checkpoints.