10颗近赤道弱源MK2VLBI观测结果

本文给出利用中国、意大利、南非射电望远镜对一个近赤道源样本在５ＧＨｚ频率上进行ＭＫ２ＶＬＢＩ普测中１０颗弱源的相关流量和其中部分源用ＨａｒｔＲＡＯ望远镜观测的总流量值，作为进一步的ＭＫ３或ＶＬＢＡ记录系统的ＶＬＢＩ观测依据．     

ENVIRONMENTAL CHANGE AND ITS IMPACTS ON HUMAN SETTLF, MENT IN THE CHANGJIANG RIVER DELTA IN NEOLITHIC AGE

Dating data, altitude of Neolithic sites, climatic changes from sedimentary records and previous research results were collected and analyzed to detect possible connections between climatic changes and human activities in the Changjiang River Delta in the Neolithic Age. The results indicated that hydrological changes greatly impacted the human activities in the study region. Low-lying geomorphology made the floods and sea level changes become the important factors affecting human activities, especially the altitude change of human settlements. People usually moved to higher places during the periods characterized by high sea level and frequent floods to escape the negative influences from water body expansion, which resulted in cultural hiatus in certain profiles. However, some higher-altitude settlements were not the results of climatic changes but the results of social factors, such as religious ceremony and social status. Therefore, further research will be necessary for the degree and types of impacts of climatic changes on human activities in the study area at that time.     

基于GIS与SDM技术的可视化空间数据分类研究

提出将GIS与可视化空间数据挖掘技术之集成的基本框架。在此基础上,基于VisualC++6.0和Ma-pObject2.0组件技术设计和开发了一个可视化交互空间数据挖掘分类系统,系统采用决策树方法和贝叶斯网络作为数据挖掘方法的基本算法,采用训练与学习相结合实现空间数据的分类。文中用实例数据对系统性能、算法和规则有效性进行了验证。结果表明,该系统是一个适用的、可扩展的可视化交互空间数据挖掘工具,系统能够实现数据挖掘实时动态的交互控制,实现了数据挖掘过程的可视化、挖掘模型的可视化和结果的可视化显示、可视化思考、可视化分析与评价。     

鄂尔多斯盆地庆城地区延长组7段致密油特征及油源分析

鄂尔多斯盆地三叠系延长组7段(长7段)半深湖—深湖相优质油源岩是油气的重要来源,包括黑色页岩和暗色泥岩,作为盆地重要的供烃源岩一直是研究的热点。为了明确不同烃源岩的贡献及油气来源,通过对庆城地区长7段致密油特征进行分析,对原油进行精细划分,并对源岩有效性进行分析,进一步明确油源对应关系,研究表明,庆城地区长7段黑色页岩和暗色泥岩均对油气成藏有贡献,其中黑色页岩贡献最大,长7₃段暗色泥岩次之,长7₂和长7₁段暗色泥岩贡献较小;原油为低密度、中—低黏度和低凝固点的轻质油。根据生标物特征将原油划分为3类,A类原油具有低C₃₀重排藿烷/C₂₉藿烷、低C₂₉Ts/C₂₉藿烷、低Ts/Tm的特征,由黑色页岩贡献,主要分布于长7₁段;C类原油具有高C₃₀重排藿烷/C₂₉藿烷、高C₂₉Ts/C₂₉藿烷、高Ts/Tm的特征,主要由暗色泥岩贡献,...     

Research on acceleration signal of granular column collapse under dry and wet conditions

Landslides - The blockage of rivers and reservoirs caused by disasters such as landslides and collapses has always been a troublesome problem. How to quickly capture this disaster information and...     

Experimental Simulation Study of the Dominant Enrichment Area of Terrestrial Organic Matter in the Shallow-Delta Sedimentary System of the Yacheng Formation in the Qiongdongnan Basin

Shallow-delta sedimentary systems receive both terrestrial and marine organic matter. As oil and gas exploration activities determine that the source rocks of the deep-water area of the Qiongdongnan Basin, northern South China Sea, are generally rich in and even dominated by terrestrial organic matter, this has led many researchers to examine the rules governing terrestrial organic matter enrichment in shallow-delta sea sedimentary systems. However, the deep burial of source rocks in deep-water areas and the relatively small amount of drilling undertaken have greatly restricted the study of these rules. In this study, the ‘forward modeling’ research method was used to observe and analyze the deposition and preservation of terrestrial organic matter through flume experiments, where the depositional results were carefully depicted and sampled. The total organic carbon content of selected samples was measured and when combined with qualitative observations and quantitative comparison results, the dominant enrichment areas of terrestrial organic matter were identified. The experimental results show that the overbank parts of the delta front, the dune countercurrent surface, the low-lying parts, the delta front slope area and the shallow-prodelta sea area are where terrestrial organic matter is predominantly enriched. This provides an important basis and guidance for the prediction of the development areas of marine source rocks with terrestrial input in the deep-water areas of the Qiongdongnan Basin.     

基于机器学习的锆石成因分类研究

锆石是在自然界中多种温压条件下能够稳定保存,并记录原岩年龄信息的副矿物。锆石微量元素能完整记录地质演化过程信息。通过微量元素分析锆石成因的研究已久,通常利用Th-U图解和La_N-(Sm/La)_N图解等二元图解对锆石进行分类研究。然而,随着锆石研究的深入,以及二元图解无法呈现数据高维度信息的局限性,传统图解已经不能满足对锆石类型进行准确判别,且对已知类型的锆石出现判定偏差。因此,本文将地质大数据与机器学习相结合,训练出高维度锆石成因分类器。文中收集了3 498条不同成因类型的锆石微量元素数据,并通过测试和运用随机森林、支持向量机、人工神经网络和k近邻等4种机器学习算法,最终得出准确率为86.8%的线性支持向量机锆石成因分类器,用于锆石类型的判定与预测。这项工作为锆石分类研究提供了更高维度的判别手段,极大提高了微量元素分析成因结果的精度。将锆石微量元素数据与机器学习方法相结合,是大数据分析与机器学习技术在地球化学研究中的积极探索。     

Lateral bearing performance and mechanism of piles in the transition zone due to pit-in-pit excavation

Acta Geotechnica - Excavation types of foundation pits for large-scale or special-purpose urban construction have been more and more complex, and the environmental safety issues caused by pit...     

山东省沂南县东部土壤重金属生态健康风险评价

【研究目的】 山东是中国矿业与农业发达省份、沂南县东部堪称其代表。掌握当地土壤重金属污染及对生态健康风险的影响对生态环境保护有重要意义。【研究方法】 系统调查分析表层土壤样品4779件,获取Hg、Cd、Cr、Ni、As、Cu、Pb、Zn等元素分布最新数据,并用地累积指数法、潜在生态危害指数法和健康风险评估模型等评价研究了生态健康风险及相关问题。【研究结果】 （1）上述重金属均量与临沂市土壤背景值大致相当,仅Hg略偏高且变异系数最大,指示当地土壤Hg受人类活动影响明显。与国家农用地土壤污染风险筛选值相比,Cu、Cr、Ni是相对主要超标元素,As、Cd、Cu、Pb超标倍数大,它们均可能会产生生态健康危害;（2）据地累积指数平均值,该区土壤总体无污染,据单样值,Hg、Cu污染最突出,其他6元素污染较轻;（3）生态风险方面,Hg、Cd是主要生态风险元素,As、Cu次之。高生态风险区为铜井镇南东部、界湖镇西北金场附近以及县城西部主城区3个片区;（4）人体健康风险方面,重金属对成人不具有非致癌风险和致癌风险,极个别地区对儿童具有非致癌风险和致癌风险,Cr、As是主要非致癌风险元素,As致癌风险最大。【结论】 沂南县东部土壤质量总体较好,铜井镇南东部、界湖镇西北金场附近以及县城西部主城区3个片区为高生态风险区,Hg、Cr、As为主要生态健康风险元素。     

A comparative analysis of pre- and post-industrial spatiotemporal drought trends and patterns of Tibet Plateau using Sen slope estimator and steady-state probabilities of Markov Chain

Natural Hazards - The increase of frequency and severity of extreme weather events due to climate change gives evidence of severe challenges faced by infrastructure systems. Among them, the...