Double vagueness: uncertainty in multi-scale fuzzy assignment of duneness

In the automation of identification of landscape features the vagueness arises from the fact that the attributes and parameters that make up a landscape vary over space and scale. In most of existing studies, these two kinds of vagueness are studied separately. This paper investigates their combination in identification of coast landscape units. Fuzzy set theory is used to describe the vagueness of geomorphic features due to the continuity in space. The vagueness resulted from the scale of measurement is evaluated by statistic indicators. The differences of fuzzy objects derived from data at differing resolutions (in size from 3×3 cells to 25×25 cells) are studied in order to examine these higher-order uncertainties.     

QTPV data model and algorithm and its application to geological exploration engineering

3D spatial data model and simulating are the core of 3D GIS can be adopted in different domains. A data model based on Quasi Tri-Prism Volume (QTPV) has been proposed. QTPV definition and its special cases have been discussed. Using QTPV and its special cases, irregular natural geological bodies and regular subsurface engineering can be described efficiently. The proposed model is composed of five primitives and six objects. Data structures and topological relationship of the fives primitives and three objects describing stratigraphy are designed in detail. Some schemes are designed for the QTPV modelling of stratigraphy and subsurface engineering according to modelling data. The model manipulation method of QTPV cutting by an arbitrary plane is discussed. Using VC++ 6.0 programming language integrated with SQL database and OpenGL graphic library under windows environment, a system prototype 3DGeoMV has been developed. The experiment result shows that the QTPV model is feasible and efficient in modelling subsurface engineering.     

基于慢特征分析方法研究陆地表面气温变率的驱动力

慢特征分析（SFA）方法可以从非平稳时间序列中提取出慢变的外强迫信息。近年来,SFA方法被应用于气候变化研究领域,用于探究气候变化的潜在驱动力及相关的动力学机制。本文基于SFA方法,提取全球陆地表面气温（LSAT）的慢变外强迫信息,研究全球LSAT慢变驱动力的空间结构特征及低频变率的主要驱动因子。SFA方法提取的LSAT慢变驱动力与历史时期全球辐射强迫（GRF）和全球海表温度（SST）的主模态（大西洋多年代际振荡AMO、热带太平洋ENSO变率和太平洋年代际振荡PDO）有显著的相关关系,表明全球大部分地区LSAT的变率受到GRF和三个SST模态的显著影响。GRF对LSAT变率的影响有全球一致性的特征,而三个SST模态对LSAT变率的影响则呈现出明显的区域特点。此外,由于SFA方法可以有效降低原始LSAT序列中随机噪声的干扰,GRF和SST模态对LSAT变率的解释方差显著提高,进一步表明GRF和SST模态是全球LSAT低频变率主要的驱动因子。最后,利用历史海温驱动AGCM试验（即AMIP试验）的结果,验证了三个SST模态对区域LSAT变率的显著影响。     

Seasonal Variations of CH_4 Emissions in the Yangtze River Delta Region of China Are Driven by Agricultural Activities

Developed regions of the world represent a major atmospheric methane(CH_4) source, but these regional emissions remain poorly constrained. The Yangtze River Delta(YRD) region of China is densely populated(about 16% of China's total population) and consists of large anthropogenic and natural CH_4 sources. Here, atmospheric CH_4 concentrations measured at a 70-m tall tower in the YRD are combined with a scale factor Bayesian inverse(SFBI) modeling approach to constrain seasonal variations in CH_4 emissions. Results indicate that in 2018 agricultural soils(AGS, rice production) were the main driver of seasonal variability in atmospheric CH_4 concentration. There was an underestimation of emissions from AGS in the a priori inventories(EDGAR—Emissions Database for Global Atmospheric Research v432 or v50), especially during the growing seasons. Posteriori CH_4 emissions from AGS accounted for 39%(4.58 Tg, EDGAR v432) to 47%(5.21 Tg, EDGAR v50) of the total CH_4 emissions. The posteriori natural emissions(including wetlands and water bodies) were1.21 Tg and 1.06 Tg, accounting for 10.1%(EDGAR v432) and 9.5%(EDGAR v50) of total emissions in the YRD in2018. Results show that the dominant factor for seasonal variations in atmospheric concentration in the YRD was AGS,followed by natural sources. In summer, AGS contributed 42%(EDGAR v432) to 64%(EDGAR v50) of the CH_4 concentration enhancement while natural sources only contributed about 10%(EDGAR v50) to 15%(EDGAR v432). In addition, the newer version of the EDGAR product(EDGAR v50) provided more reasonable seasonal distribution of CH_4 emissions from rice cultivation than the old version(EDGAR v432).     

甘肃省石板墩铁矿矿床地质特征及找矿标志

石板墩铁矿位于甘肃省肃北蒙古族自治县南东方向,含矿地层蓟县系花儿地组是一套薄-中厚层浅海环境的碳酸盐岩为主夹碎屑岩的岩石,经区域低温动力变质作用形成低绿片岩相;通过详细地质勘查,已圈定矿体23条,是近年来甘肃省铁矿勘查找矿的一项重大突破.     

甘肃省水工环地质调查部署研究

甘肃省位于我国西北内陆地区,自然环境脆弱,水资源短缺、地质灾害频发。本文在分析甘肃省社会经济发展对水工环地质工作需求基础上,分析了工作程度和存在的问题,对今后10年的工作进行部署,概况为＂33942＂工程,并提出了相关建议。     

重庆及其周缘地区下古生界页岩气成藏条件及有利区预测

从野外地表露头、井下岩心及典型剖面等基础资料出发,以富有机质页岩形成地质背景及其展布特征-页岩气成藏条件-有利区预测为主线,对重庆及周缘地区下古生界页岩气成藏条件进行分析,并采用综合信息叠合法对该区有利区进行预测。指出研究区下寒武统筇竹寺组和上奥陶统五峰组—下志留统龙马溪组两套富有机质页岩普遍发育,分布广,厚度大,埋藏适中,有机质类型好,有机质含量高,具有充足的储集空间和运移通道,并且等温吸附模拟和现场解析实验也表明,这两套页岩均具有较强的气体吸附、较好的含气性能;多口井钻遇黑色页岩段气显异常普遍,也为页岩气的存在提供证据。总之,该区与美国东部典型页岩气盆地有诸多地质可比性,具有形成页岩气藏的有利地质条件,是页岩气勘探研究值得关注的重要领域。     

云台山世界地质公园瀑布成因分类研究

地貌的分类是地貌学研究的重要内容之一,成因分类又是地貌形态分类的基础。瀑布既是一种非常重要的造景地貌,又是地质公园重要的地质遗迹及旅游资源,因此,对瀑布进行系统的成因分类学研究,对提升瀑布的科学价值及旅游价值均具有非常重要的意义。云台山世界地质公园是我国第一批世界地质公园,园区分布有规模不等、形态各异、成因多样的瀑布及瀑布群,为瀑布成因分类研究提供了极好的素材。通过详细的野外地质调查,根据瀑布发育的构造条件、岩性差异、水动力条件、岩溶及人工作用等方面,将瀑布按成因划分为岩槛型、裂点型、断裂型、溶蚀型、钙华型和人工型等6类。本研究提升了云台山瀑布研究的科学价值,同时也为瀑布的分类学提供了参考方案。     

海堤施工中软土地基沉降计算分析

从剖析沉降固结的概念,探讨常规沉降计算公式的适用性出发,对照海堤工程实践中暴露出来的问题,指出软基筑堤工程实践中沉降计算分析的注意事项和建议,以起到抛砖引玉的效果。     

考虑粘性土体低速非Darcy渗流地面沉降模拟的探讨

过度抽汲地下水引发的地面沉降是全球广泛关注的地质环境问题。对其进行数值模拟是实现地面沉降灾害科学管理的最有效手段。水流模型是地面沉降模型的必要组成部分,对其刻画得准确与否将影响沉降模拟的准确度。本文首先综述了低渗透性粘性土体中的低速非线性Darcy渗流规律,而后从地面沉降发生的地质背景分析出发,论证了低速非线性Darcy渗流对地面沉降模拟的作用,并讨论了当前地面沉降模拟中水流模型刻画的不足之处。最后提出了如何在地面沉降模拟中考虑低速非Darcy渗流的4个关键性科学问题,对该问题的探讨有助于提高地面沉降模拟的准确性。