Revision of thickness design of cylindrical frozen walls considering frost heave

This paper outlines development of the thickness design of cylindrical frozen walls in artificial ground freezing (AFG). A plain strain mechanical model coupled with infinite surrounding soil and rock ...     

A comparative study of extensive machine learning models for predicting long-term monthly rainfall with an ensemble of climatic and meteorological predictors

Rainfall prediction is of vital importance in water resources management. Accurate long-term rainfall prediction remains an open and challenging problem. Machine learning techniques, as an increasingly popular approach, provide an attractive alternative to traditional methods. The main objective of this study was to improve the prediction accuracy of machine learning-based methods for monthly rainfall, and to improve the understanding of the role of large-scale climatic variables and local meteorological variables in rainfall prediction. One regression model autoregressive integrated moving average model (ARIMA) and five state-of-the-art machine learning algorithms, including artificial neural networks, support vector machine, random forest (RF), gradient boosting regression, and dual-stage attention-based recurrent neural network, were implemented for monthly rainfall prediction over 25 stations in the East China region. The results showed that the ML models outperformed ARIMA model, and RF relatively outperformed other models. Local meteorological variables, humidity, and sunshine duration, were the most important predictors in improving prediction accuracy. 4-month lagged Western North Pacific Monsoon had higher importance than other large-scale climatic variables. The overall output of rainfall prediction was scalable and could be readily generalized to other regions.     

A Study on Sequence Stratigraphy of Mesoproterozoic and Neoproterozoic in Southern North China Platform

INTRODUCTIONThestrataofMesoprotCrozoicandNeoproterozoicaredevelopedcompletelyinthesouthpartoftheNorthetnaplatformandconsistofthreesystems,inasCendingorder,Jixiaulan,QingbaikouanandSlman.BasedonadetailedinvestigationontheolltcropandthecomprehenSiveanalysis,wediscussthecharaCterofsequencestratigraphyandthecorrelationoftheMemo--Neoproterozoicinthearea.FnThRrsor~unCrsANDPARA~unCrsMeSO--NooprotffezoicRadonalfortigraphyThesouthernpartofNorthChinaplatformherereferstotheareasincluding…     

西藏近40年气温变化的气候特征分析

应用西藏1952~1995年温度序列资料, 对其基本气候特征、年代变化、气候突变、振荡周期、异常冷暖、变化趋势等进行了分析.结果表明:年与各季气温大都具有3个暖期和2个冷期, 60年代是最冷的10年, 以秋季降温最明显, 80年代中后期至90年代气温偏高. 22年、11年、3~4年是年与各季气温较为显著的周期.气候突变出现在60年代初和80年代初. 60年代、70年代多异常偏冷年, 80年代多异常偏暖年, 多发生在夏季和冬季, 90年代, 大多数年份发生气温异常. 40年来, 西藏年平均气温以0.065 ℃/10a的倾向率上升, 近10年春秋季增温率最大.     

锥束CT的CT值标定方法

CT值是医学CT重建图像的一个必备要素,在某些场合下已成为医生诊断疾病的辅助工具,比如骨密度测量、图像分割与识别等。本文介绍一种锥束CT的CT值转换方法。借助Sedentex CT模体,分别获得5种材料的标称CT值和锥束CT衰减系数重建值,并经线性拟合,建立起标称CT值和衰减系数重建值之间的转换方程。最后,分析对比度噪声比和图像灰度值均匀性偏差在CT值转换后的变化情况。     

Petrogenesis and geodynamic setting of the Triassic granitoid plutons in West Qinling,China: insights from LA-ICP-MS zircon U–Pb ages,Lu–Hf isotope signatures and geochemical characteristics of the Zhongchuan pluton

West Qinling is one of the most important parts of the Qinling orogenic belt and includes acidic–intermediate plutons and many types of ore deposits. In this article, we collected geochemical and geochronological data for the Triassic granitoid plutons of West Qinling and found that nearly all plutons share the similar features with the Zhongchuan pluton. We present new laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) zircon U–Pb ages, major and trace element geochemistry, and zircon Hf isotope systematics for the granites of the Zhongchuan pluton to elucidate the evolution of granitoid plutons in West Qinling during the Triassic. LA-ICP-MS zircon U–Pb dating indicates that the Xujiaba and Guandigou units formed at 220.1 ± 1.2 and 215.9 ± 0.85 Ma, respectively, reflecting the time of the Late Triassic. The rocks of the Zhongchuan pluton are metaluminous to weakly peraluminous and have a high-K calc-alkaline to shoshonite series with high SiO₂ (63.59–76.22%) and low P₂O₅ (0–0.2%) concentrations, a high K₂O/Na₂O ratio (1.18–17.92), a high differentiation index (78.45–93.04) and a medium A/CNK ratio (0.98–1.69). The zircon Hf isotope dating indicates that the Xujiaba and Guandigou units have an inhomogeneous ε_Hf(t) (?4.425 to 1.067 for Xujiaba and ?4.920 to 2.042 for Guandigou) and two-stage Hf model ages (1123–1531 Ma for Xujiaba and 1115–2342 Ma for Guandigou). The geochemical and isotopic data imply that the granites of each unit share the same origin. They probably derived from the partial melt of metagreywackes and then mixed with the mantle-derived magma. Based on the regional geological history, petrographic characteristics and new geochemical and isotopic data of the Zhongchuan pluton, we suggest that the Triassic magma was derived from the partial melts of metagreywackes and was influenced by the mantle-derived melt during the collision of the Yangtze and Qinling plates.     

山区三维地震勘探大时差静校正及时深转换

山地煤矿采区地形条件复杂，正确进行大时差静校正是处理好二维地震勘探资料的重要一环。大时差静校正会改变煤层反射波时间(t0)及双曲线特征，为减小校正误差，需设立一个CMP面，将校正量分为高频分量和CMP校正量。在地形高差变化剧烈的山地，不能用高于地表面的统一基准面为零线进行时深转换，须进行充填层时差(△t)校正，将统一基准面校正到地表面，再以地表面为零线进行时深转换成图。以便准确无误的展示煤层赋存形态，提高构造图精度。     

淮南矿区煤矸石的物质组成特征及资源化评价

本文利用各种测试方法,对淮南谢桥、新庄孜和张集煤矿采集的不同层位来源的240个煤矸石样品的化学成分、矿物成分和微量元素的进行测试与分析,得出了淮南矿区不同煤矿煤矸石的化学成分特征及其中微量元素的含量变化,评价了煤矸石中有害元素的环境影响作用。结合煤矸石基本特征,提出了合理的资源化利用途径,为煤矿开采过程的主要固体废物煤矸石综合利用和资源化、煤矿环境保护提供了参考资料。