A late Holocene winter monsoon record inferred from the palaeo-aeolian sand dune in the southeastern Mu Us Desert, northern China

The variation of the Asian winter monsoonal strength has seriously affected the climate and environmental conditions in the Asian monsoonal region, and even in marginal islands and the ocean in the East Asian region. However, relevant understanding remains unclear due to the lack of suitable geological materials and effective proxies in the key study areas. Here, we present a grain-size record derived from the palaeo-aeolian sand dune in the southeastern Mu Us Desert, together with other proxies and OSL dating, which reflect a relatively detailed history of the winter monsoon and abrupt environmental events during the past 4.2 ka. Our grain-size standard deviation model indicated that >224 μm content can be considered as an indicator of the intensity of Asian winter monsoon, and it shows declined around 4.2-2.1 ka, enhanced but unstable in 2.1-0.9 ka, and obviously stronger since then. In addition, several typical climate events were also documented, forced by the periodic variation of winter monsoonal intensity. These include the cold intervals of 4.2, 2.8, 1.4 ka, and the Little Ice Age (LIA), and relatively warm sub-phases around 3.0, 2.1, 1.8 ka, and the Medieval Warm Period (MWP), which were roughly accordant with the records of the aeolian materials, peat, stalagmites, ice cores, and sea sediments in various latitudes of the Northern Hemisphere. Combined with the previous progresses of the Asian summer monsoon, we preliminarily confirmed a millennial-scale anti-correlation of Asian winter and summer monsoons in the Late Holocene epoch. This study suggests that the evolution of the palaeo-aeolian sand dune has the potential for comprehending the history of Asian monsoon across the desert regions of the modern Asian monsoonal margin in northern China.     

Interaction between scale and scheduling choices in simulations of spatial agents

Spatial simulations are a valuable tool in understanding dynamic spatial processes. In developing these simulations, it is often required to make decisions about how to represent features in the environment and how events unfold in time. These spatial and temporal choices have been shown to significantly alter model outcomes, yet their interaction is less well understood. In this paper, we make use of a simple group foraging model and systematically vary how features are represented (cell size of the landscape) as well as how events unfold in time (order in which foragers take action) to better understand their interaction. Our results show similar nonlinear responses to changes in spatial representation found in the literature, and an effect of the order in which agents were processed. There was also a clear interaction between how features are represented and how events unfold in time, where, under certain environmental representations results were found to be more sensitive to the order in which individuals were processed. Furthermore, the effects of feature representation, scheduling of agents, and their interaction were all found to be influenced by the heterogeneity of the spatial surface (food), suggesting that the statistical properties of the underlying spatial variable will additionally play a role. We suggest that navigating these interactions can be facilitated through a better understanding of how these choices affect the decision landscape(s) on which agents operate. Specifically, how changes to representation affect aggregation and resolution of the decision surface, and thereby the degree to which agents interact directly or indirectly. We suggest that the challenges of dealing with spatial representation, scheduling, and their interaction, while building models could also present an opportunity. As explicitly including alternate representations and scheduling choices during model selection can aid in identifying optimal agent–environment representations. Potentially leading to improved insights into the relationships between spatial processes and the environments in which they occur.     

基于层次分析法的德州地面沉降易发区的可拓学划分应用

基于物元模型的可拓学理论分析,提出华北平原德州地面沉降易发区的可拓学划分方法。利用地面沉降易发性分级、分类标准和影响因子分析,构造出经典域物元和节域物元,应用物元和可拓集合中的关联函数,建立了易发性等级综合评判的可拓评价模型,通过基于层次分析法的可拓学评价分析,采用正方形等间距(2km×2km)剖分了135个网格,再将剖分单元转化成面元,经过等值差分,得到了地面沉降易发区划结果。计算结果显示,可拓学方法能够实现定量化、多因子评价地面沉降易发性等级问题,从而科学合理地指导地面沉降综合分区防治。     

山东省蒙阴县常马矿区金刚石原生矿深部综合找矿模型

以矿区地质背景、含矿岩体地质特征为基础,分析了蒙阴县常马矿区金刚石原生矿的成矿地质条件,提出含矿岩体是受构造控制的金伯利岩岩体,岩体具有低电阻、低负重力场的地球物理异常等信息。在综合分析矿床成矿地质条件、磁异常、电性异常特征的基础上,初步建立了蒙阴县常马矿区金刚石原生矿矿床地质-磁法-电法综合找矿模型。     

中国省际人口迁移的多边效应机制分析

区际人口迁移不仅与迁出地和目的地的要素特征以及距离有关,而且还受到周边迁移流的影响.基于网络自相关理论,利用"六普"省际人口迁移数据和相关统计资料,在重力模型的基础上考虑迁移流之间可能存在的几种空间依赖形式,构建中国省际迁移流的空间OD模型,初步揭示区域经济社会等因素及其空间溢出效应对省际人口迁移的影响,并就区域要素变化对整个省际人口迁移系统产生的"连锁反应"进行了模拟.结果表明:① 中国省际迁移流之间存在显著的网络自相关效应.目的地和迁出地的自相关效应皆为正,导致迁入和迁出流的空间效仿行为;迁出地和目的地周边则出现负的自相关效应,导致迁移流的空间竞争行为;② 区域经济社会等因素通过网络空间关系对周边地区产生的多边溢出效应导致迁移流在空间上集聚.其中,距离衰减效应位居各要素之首,其溢出效应进一步加剧距离的摩擦作用;对目的地而言,区域工资水平和迁移存量超过GDP的影响并产生正的溢出效应,促进周边地区吸引更多的外来人口;对迁出地而言,人口规模和迁移存量产生正的溢出效应,推动周边地区人口外迁;③ 区域要素变化潜在地对整个省际人口迁移系统产生一系列"连锁反应",震荡中心及其周边区域的迁移流波动较大.江苏省GDP增长5%的模拟结果表明,江苏迁往全国其他省份的人口数量都有不同程度地减少,而其他省份入迁人口均有所增加.相对而言,江苏周边省份的迁入或迁出流受到的波动较大,偏远省份波及较小,这是传统的重力模型所无法解释的.     

土地集约利用数据库实时更新系统的研制

针对PDA产品信息采集不全、屏幕小不易图形编辑、维护保管难及数据库更新不及时等问题,文章将更新数据的编辑、审核和更新入库功能移至服务器端。在系统结构设计、数据库设计以及功能设计等基础上,利用组件式GIS开发、空间数据拓扑分析、软件系统集成、地理建模等先进技术,对土地集约利用数据库实时更新系统进行开发,实现了土地集约利用评价数据库采集和更新内外业一体化,进而实现与"土地集约利用终端系统"的完美对接,为土地集约利用评价系统提供了实时、准确的数据源。     

Testing and modeling of the mechanical behavior of dolomite in the Wudongde hydropower plant

In order to understand the mechanical behaviours of the surrounding rocks in the underground caverns of the Wudongde hydropower plant, triaxial tests are performed on a type of dolomite. It is revealed that damage induced by crack development is the main factor controlling the nonlinear plastic deformation and failure behaviour of the dolomite in both pre- and post-peak regimes. Based on this understanding, a coupled elastoplastic damage model is developed for capturing the dolomite’s mechanical behaviours. In the model, the effects of plasticity and damage on rocks is described by introducing plastic hardening and damage softening commonly in the plastic yield surface. Which are both derived from a suitable Helmholtz free energy function. The model is used to simulate the triaxial tests. Comparisons between test results and the numerical modelling show that the developed model is capable of describing the macro mechanical behaviours of the Wudongde dolomite.     

西秦岭上白垩统红层空间分布及其对青藏高原东北缘隆升的地质约束

通过对西秦岭上白垩统红层地层基本沉积特征的研究和空间高程分布的定量化分析,讨论了西秦岭晚白垩世时期可能的构造地貌状态及西秦岭新生代以来地壳隆升的空间变化规律。取得如下认识:1根据西秦岭上白垩统底部洪积-冲积砾岩层之上普遍存在一套厚度不等的具有风成砂岩特征的红色中细粒砂岩和上部出现以泥岩、泥质粉砂岩为主的湖相沉积,结合现今多分布在不同水系分水岭之上,以及西秦岭中部宕昌-岷县-临潭断裂带两侧上白垩统红层地层顶面高程和底部角度不整合面高程没有显著差异分析,认为西秦岭无论在晚白垩之前经历了何种构造过程,晚白垩世具有整体稳定的泛沙漠-湖盆的古构造地貌状态,且断裂带不具备控制上白垩统沉积的构造边界性质;2现今离散型分布在西秦岭的上白垩统沉积地层反映的原型盆地不是孤立的、受区域断裂控制的山间盆地,而是统一的泛沙漠-内陆湖盆,现今的离散型分布是新生代以来地壳不均匀隆升和侵蚀的结果;3西秦岭上白垩统底部的角度不整合面产状,虽然由于后期构造变动呈非完全水平状态,但总体产状平缓。从大区域尺度分析,可以近似看做原始近水平的古地貌面。通过对该角度不整合面高程信息提取和模拟分析,结果表明,其高程分布具有从南西到北东、从北西到南东逐渐降低,穿越区域断裂带没有显著梯度变化,指示了西秦岭新生代以来的隆升具有整体性和隆升幅度呈连续梯度变化的特征。这可能指示了西秦岭新生代以来的地壳隆升机制主要不是上地壳挤压逆冲缩短,而是在印度板块-欧亚板块碰撞汇聚的动力学背景下,下地壳或上地幔自西南向北东连续流变逐渐增厚,造成了青藏高原东北缘呈向北东突出的弧形扩展隆升。     

Prediction of Seaward Slope Recession in Berm Breakwaters Using M5' Machine Learning Approach

In the design process of berm breakwaters, their front slope recession has an inevitable rule in large number of model tests, and this parameter being studied. This research draws its data from Moghim’s and Shekari’s experiment results. These experiments consist of two different 2D model tests in two wave flumes, in which the berm recession to different sea state and structural parameters have been studied. Irregular waves with a JONSWAP spectrum were used in both test series. A total of 412 test results were used to cover the impact of sea state conditions such as wave height, wave period, storm duration and water depth at the toe of the structure, and structural parameters such as berm elevation from still water level, berm width and stone diameter on berm recession parameters. In this paper, a new set of equations for berm recession is derived using the M5'' model tree as a machine learning approach. A comparison is made between the estimations by the new formula and the formulae recently given by other researchers to show the preference of new M5'' approach.     

Development of A Depth-Integrated Longshore Current Model with Unstructured Grids

A depth-integrated model for simulating wave-induced longshore current was developed with unstructured grids. Effects of surface roller and horizontal mixing under combined waves and currents were incorporated in the numerical model. Recommended values of model coefficients were also proposed based on sensitivity analysis. Field observations and three series of laboratory measurements including two cases conducted on the plane beach and one implemented on the ideal inlet were employed to examine the predictive capability of this model. For the field case and laboratory cases conducted on the plane beach, numerical results were compared favorably with the measured data. For the case with an ideal inlet, simulated circulation pattern is supposed to be reasonable although some deviations between numerical results and measured data still can be detected.