倾斜摄影测量的城市真三维模型构建方法

针对如何基于近年来新推出的倾斜摄影测量技术快速构建城市真三维模型的问题,在研究分析国内基于该技术构建三维模型方法的基础上,提出了利用Street Factory系统,结合少量人工干预快速构建城市真三维模型的方法。采用倾斜影像联合空中三角测量技术,实现了多角度倾斜影像的一体化区域网平差;通过多视影像密集匹配和自动纹理关联,实现了高精度真实三维模型的构建。基于RCD-30倾斜相机获取的西安大雁塔景区倾斜影像,开展城市真三维模型构建试验。结果表明,所提方法构建的城市真三维模型满足相关规范的要求,适合大规模区域城市三维模型快速构建,对测绘生产单位规模化生产具有一定的参考价值。     

淤泥质海岸入海河口闸下港道河相关系

以江苏沿海北部的射阳河闸下港道为原型,建立二维水动力及泥沙输运概化数学模型,模拟了淤泥质海岸闸下港道淤积过程。分别在不考虑径流年内分配变化和考虑径流年内分配变化的情况下,研究了入海径流对港道内水沙动力和冲淤演变的影响。参考前人研究成果,结合量纲和谐准则,根据模型的计算结果,建立了淤泥质海岸闸下港道年均平衡流量与汛期排水比例、河床断面积、外海潮差、潮波变形、港道长度等因素间的河相关系式,对在实际情况中达到动态冲淤平衡的某条特定港道,可简化为港道年均流量与河床断面积间关系式的简化形式,并通过分析实测资料,对公式的简化形式加以佐证。     

二连浩特市水资源与经济社会和谐度评价

以二连浩特市人水关系为研究对象,从取水总量和谐度、用水效率和谐度、水生态环境保护和谐度三个方面构建了二连浩特市水资源与经济社会和谐度评价体系。从评价结果可以看出,二连浩特市开展节水型社会建设以来,水资源与经济社会和谐度发生了较显著的改善。评价体系较好地反映了二连浩特市水资源与经济社会和谐度,对北方干旱缺水地区节水型社会建设具有借鉴意义。     

深海嗜热异化铁还原菌Caloranaerobacter ferrireducens DY22619T对不同铁氧化物的铁还原特性

异化铁还原微生物在铁元素的地球化学循环中具有重要意义。深海热液活动是大洋铁元素的重要来源,目前深海热液环境中铁代谢相关微生物研究很少。本文对一株分离自深海热液区的嗜热异化铁还原菌新种Caloranaerobacter ferrireducens DY22619T的铁还原特性进行分析,比较了该菌对无定形羟基氧化铁、无定形铁氧化物和针铁矿3种不同铁氧化物的铁还原速率;并利用透射电镜对矿化产物进行矿物形貌、组成元素和晶型的分析。研究发现该菌生长在指数期至稳定期时,铁还原速率最快,其中对无定形羟基氧化铁和无定形铁氧化物的还原速率较高,达2.82 μmol/h和2.15 μmol/h;透射电镜结果表明,该菌可将3种不同胞外铁氧化物均还原矿化形成颗粒状磁铁矿,由针铁矿矿化形成的磁铁矿少但粒径最大,而由无定形铁氧化物形成的磁铁矿晶面不同于另外两种铁氧化物。结果表明,该菌有很强的铁还原和矿化能力,能厌氧呼吸还原三价铁氧化物,但是铁氧化物的性质对该菌胞外铁还原能力和矿化形成的磁铁矿的性质有重要影响。本研究为认识深海热液环境中异化铁还原菌在铁元素的地球化学循环和生物成矿过程提供了参考。     

星载SAR对雨团催生海面风场的观测研究

雨团或对流雨是热带与亚热带地区的主要降雨形式,较易被高分辨率星载合成孔径雷达（SAR）探测到。SAR图像上的雨团足印是由大气中雨滴的散射与吸收、下沉气流等共同导致形成的。本文以RADARSAT-2卫星100 m分辨率的SAR图像上雨团引起的海面风场及其结构反演与解译作为实例进行分析。使用CMOD4地球物理模式函数,分别以NCEP再分析数据、欧洲MetOp-A卫星先进散射计（ASCAT）和中国HY-2卫星微波散射计的风向为外部风向,进行了SAR图像的海面风场反演。反演的海面风速相对于NCEP、ASCAT和HY-2的均方根误差（RMSE）分别为1.48 m/s,1.64 m/s和2.14 m/s。SAR图像上一侧明亮另一侧昏暗的圆形信号图斑被解译为雨团携带的下沉气流对海面风场（海面粗糙度）的改变所致。平行于海面背景风场其通过雨团圆形足印中心的剖面上的风速变化可拟合为正弦或余弦曲线,其拟合线性相关系数均不低于0.80。背景风场的风速大小、雨团引起的风速大小以及雨团足印的直径可利用拟合曲线获得,雨团足印的直径大小一般为数千米或数十千米,本文的8例个例解译与分析均验证了该结论。     

Hydrothermal Fluid Sources of the Fengjia Barite–fluorite Deposit in Southeast Sichuan,China: Evidence from Fluid Inclusions and Hydrogen and Oxygen Isotopes

The Fengjia barite–fluorite deposit in southeast Sichuan is a stratabound ore deposit which occurs mainly in Lower Ordovician carbonate rocks. Here we present results from fluid inclusion and oxygen and hydrogen isotope studies to determine the nature and origin of the hydrothermal fluids that generated the deposit. The temperature of the ore‐forming fluid shows a range of 86 to 302 °C. Our detailed microthermometric data show that the temperature during mineralization of the fluorite and barite in the early ore‐forming stage was higher than that during the formation of the calcite in the late ore‐forming stage. The salinity varied substantially from 0.18% to 21.19% NaCl eqv., whereas the density was around 1.00 g/cm³. The fluid composition was mainly H₂O (>91.33%), followed by CO₂, CH₄ and traces of C₂H₆, CO, Ar, and H₂S. The dominant cation was Na⁺ and the dominant anion Cl^‐, followed by Ca²⁺, SO₄^2‐, K⁺, and Mg²⁺, indicating a mid–low‐temperature, mid‐low‐salinity, low‐density NaCl–H₂O system. Our results demonstrate that the temperature decreased during the ore‐forming process and the fluid system changed from a closed reducing environment to an open oxidizing environment. The hydrogen and oxygen isotope data demonstrate that the hydrothermal fluids in the study area had multiple sources, primarily formation water, as well as meteoric water and metamorphic water. Combined with the geological setting and mineralization features we infer that the stratabound barite–fluorite deposits originated from mid–low‐temperature hydrothermal fluids and formed vein filling in the fault zone.     

Curvedness feature constrained map matching for low-frequency probe vehicle data

Map matching method is a fundamental preprocessing technique for massive probe vehicle data. Various transportation applications need map matching methods to provide highly accurate and stable results. However, most current map matching approaches employ elementary geometric or topological measures, which may not be sufficient to encode the characteristic of realistic driving paths, leading to inefficiency and inaccuracy, especially in complex road networks. To address these issues, this article presents a novel map matching method, based on the measure of curvedness of Global Positioning System (GPS) trajectories. The curvature integral, which measures the curvedness feature of GPS trajectories, is considered to be one of the major matching characteristics that constrain pairwise matching between the two adjacent GPS track points. In this article, we propose the definition of the curvature integral in the context of map matching, and develop a novel accurate map matching algorithm based on the curvedness feature. Using real-world probe vehicles data, we show that the curvedness feature (CURF) constrained map matching method outperforms two classical methods for accuracy and stability under complicated road environments.