内蒙古新地沟金矿床黄铁矿热电性特征及深部找矿意义

内蒙古新地沟金矿是中型绿岩型金矿床,但已属于严重资源危机的矿山,急待寻找接替资源,因此对新地沟金矿床进行深部远景预测具有十分重要的意义。本文根据找矿矿物学和成因矿物学理论,利用显微镜、电子探针及热电仪系统分析新地沟金矿床不同标高和矿段中黄铁矿的热电型标型特征,研究结果表明:新地沟金矿床中黄铁矿的晶型以立方体、五角十二面体及聚形为主;热电系数变化主要集中在-331.10~340.20μV·°C~(-1)范围内,导电型多以N型为主,约占总含量的80%;成矿温度主要集中于250~340℃,属于中温矿床。黄铁矿热电性参数XNP变化范围较大,估算矿体剥蚀率为67.96%~74.31%。通过对黄铁矿导型的空间分布规律和矿体剥蚀分析表明:油篓沟矿段位于矿体中底部,向深部可能有小规模延伸,小西沟矿段钻孔ZK106在深部有较大规模的延伸,其矿化前景最好;小西沟矿段钻孔ZK102深部矿化前景次之;大汗青矿段钻孔ZK_2802其深部矿化前景较差。综合分析认为,该矿床深部具有较好的找矿潜力。     

Geology of the Yap Trench: new observations from a transect near 10°N from manned submersible Jiaolong

This paper describes the petrology and geochemistry of rocks from the Yap Trench acquired by three dives of the Jiaolong research submarine. Combining the geophysical data and submersible observations, this paper describes the geomorphology, shallow structures, and sedimentology of the Yap Trench and further discusses the tectonics and activities of this region. Two obvious slope breaks are found on the landward slope, and horsts and grabens with small fault offsets are observed in the ocean-ward slope of the trench. Peridotites sampled from the Yap Trench inner wall are highly depleted subduction-related mantle residues. Volcanic rocks in the northern segment of the trench have subduction-related characteristics that Yap fore-arc rocks underwent metasomatism during Cenozoic subduction. The rocks with remarkable lithologic difference from lithospheric mantle and upper crust sampled in the break slopes suggest that the slope break area may represent a lithologic boundary or transition zone. The landward slope of the Yap Trench was removed by subduction erosion as a result of collision with the Caroline Ridge. The bending of the down-going plate caused normal faults, horsts, and grabens with little or no sediments indicating that the Caroline Ridge is subducting beneath the Yap arc along the trench even though the convergence rate is very slow.     

基于面向对象分类的稀土开采区遥感信息提取方法研究

离子吸附型稀土矿是我国宝贵的矿产资源,运用遥感影像分类技术提取稀土开采区可以准确地实现对稀土开采状况的监测,但仅利用光谱信息往往难以保证分类精度。本文以江西寻乌稀土矿区为研究区,以IKONOS影像为数据源,应用面向对象分类方法提取了稀土开采区的遥感信息。针对稀土开采区的分布特点,选择基于边缘的分割算法进行影像分割;结合地形信息、光谱信息及几何信息建立规则集,进行特征提取;最后采用隶属度函数法实现面向对象分类,并与传统的光谱角填图分类进行对比分析。研究结果表明,面向对象分类法提取稀土开采区的总体精度为92.49%,Kappa系数为0.857 6,与传统监督分类方法相比有了很大的提高。     

Mid-Cretaceous Hothouse Climate and the Expansion of Early Angiosperms

The remarkable transition of early angiosperms from a small to a dominant group characterized the terrestrial ecosystem of the Cretaceous. This transition was instigated and promoted by environmental changes. Mid-Cretaceous is characterized by major geological events that affected the global environment. δ18O, palaeothermometer TEX86, and other climatic indices from marine sediments suggest rapid temperature increase during mid-Cretaceous despite occasional short cooling events. Simultaneously, terrestrial deposits in East Asia changed from coal-bearing to shale, then to red beds and evaporites. Plant assemblages and other paleoclimate indicators point to rapid aridification for mid-Cretaceous terrestrial environments. In addition, the wildfires were frequently spread all over the earth by the numerous charcoal evidence during the Mid-Cretaceous. Thus, we speculate that the seasonally dry and hot conditions of mid-Cretaceous created a fiery hothouse world. Early angiosperms increased in abundance and diversity and evolved from a few aquatic species to terrestrial herbaceous and then to the diversified flora of today. Angiosperms showed rapid physiological evolution in vein density and leaf area that improved photosynthesis and water absorption. These ecophysiological changes made early angiosperms well adapted to the hot and dry environment in mid-Cretaceous. Moreover, these physiological changes facilitated the fire–angiosperm cycles in mid-Cretaceous that likely further stimulated the early angiosperm evolution.     

Verification and Assessment of Real-time Forecasts of Two Extreme Heavy Rain Events in Zhengzhou by Operational NWP Models

In the present study, the performances of the NWP models on two heavy rainfalls on 20 July and 22 August 2021 over Henan Province were investigated. The impacts of the water vapor transport to the extreme rainfall were further discussed. The results showed that the regional model system in the Guangzhou Meteorological Service generally showed high scores on the extreme rainfall over Henan. The maximum 24h accumulative rainfall by the 24h forecasts by the CMA-GD reached 556 mm over Henan Province. The 24-h and 48-h Threat Score (TS) of heavy rainfall reached 0.56 and 0.64. The comparisons of the Fraction Skill Score (FSS) verifications of the heavy rainfall by CMA-GD and CMA-TRAMS at the radium of 40km reached 0.96 and 0.87. The water vapor transport to the extreme rainfall showed that the vertically integrated water vapor transport (IVT) of the whole layer before the occurrence of the heavy rainfall exhibited a double-eyes distribution in case 7 · 20. The north eye over Henan reached the same magnitude of IVT as the typhoon eye (Cempaka) over south China. The IVT over the lower troposphere (<500 hPa) showed an overwhelming magnitude than the upper level, especially in the planetary boundary layer (<700 hPa). More practical technical needs to be developed to improve its performances on the forecasting of extreme rainfall, as well as more experiments need to be conducted to examine the effects of the specific terrain and physical schemes on the extreme rainfall.     

An Innovative Bias-Correction Approach to CMA-GD Hourly QuantitativePrecipitation Forecasts

This paper proposes a simple and powerful optimal integration (OPI) method for improving hourly quantitative precipitation forecasts (QPFs, 0-24 h) of a single-model by integrating the benefits of different bias- corrected methods using the high-resolution CMA-GD model from the Guangzhou Institute of Tropical and Marine Meteorology of China Meteorological Administration (CMA). Three techniques are used to generate multi-method calibrated members for OPI: deep neural network (DNN), frequency-matching (FM), and optimal threat score (OTS). The results are as follows: (1) The QPF using DNN follows the basic physical patterns of CMA-GD. Despite providing superior improvements for clear-rainy and weak precipitation, DNN cannot improve the predictions for severe precipitation, while OTS can significantly strengthen these predictions. As a result, DNN and OTS are the optimal members to be incorporated into OPI. (2) Our new approach achieves state-of-the-art performances on a single model for all magnitudes of precipitation. Compared with the CMA-GD, OPI improves the TS by 2.5%, 5.4%, 7.8%, 8.3%, and 6.1% for QPFs from clear-rainy to rainstorms in the verification dataset. Moreover, OPI shows good stability in the test dataset. (3) It is also noted that the rainstorm pattern of OPI relies heavily on the original model and that OPI cannot correct for deviations in the location of severe precipitation. Therefore, improvements in predicting severe precipitation using this method should be further realized by improving the numerical model’s forecasting capability.     

GIS多准则的城市垃圾楼空间布局优化选址

针对城市公共设施的传统选址方法较少考虑空间维度因素的问题,该文提出了基于地理信息系统(GIS)多准则的城市公共设施选址模型,利用GIS多准则技术基于空间维度分析了城市自然环境和人文要素等综合影响下的公共设施选址方法,并以城市垃圾楼选址为例进行了实例应用。实验结果表明:该方法不仅充分考虑了城市复杂的地理环境,还深度探究了影响城市公共设施选址的综合性因素。     

参数优化DBSCAN算法的城管案件聚类分析

针对DBSCAN算法参数对聚类结果具有较大的不确定性问题,该文提出了基于空间分析的参数优化思想:首先,基于Ripley’s K函数分析,实现自适应确定数据聚类范围EPS值;基于K-D树分析,实现自适应确定在Eps阈值内的点数量MinPts值;然后,基于以上参数的自适应确定思想,利用R语言编写了DBSCAN算法,进一步实现了数据的精确聚类。基于典型城市管理案件的实验结果表明:该方法充分考虑了空间数据统计特性,具有较好的适用性,聚类簇特征明显,聚类质量较高。     

GPS-IMU辅助航空摄影测量误差来源分析与精度优化

针对GPS定位系统及IMU惯性测量导航在航空摄影测量发挥的巨大作用,本文阐述了GPS-IMU组合辅助航空摄影测量的基本原理和方法,分析了此项技术的主要误差来源,并对提高精度提出了可行性方案。该方案有助于航空摄影单位对此技术的学习和研究,并且在日常生产中灵活、高效地发挥此技术的优势[1]。