Major advances in studies of the physical geography and living environment of China during the past 70 years and future prospects

The natural environment provides material essentials for human survival and development. The characteristics,processes, regional differentiation and forcing mechanisms of the elements of the natural environment(e.g. geomorphology,climate, hydrology, soil, etc.) are the main objects of research in physical geography. China has a complex natural environment and huge regional differentiation and therefore it provides outstanding reserach opportunities in physical geography. This review summarizes the most important developments and the main contributions of research in the physical geography and human living environment in China during the past 70 years. The major topics addressed are the uplift of the Tibetan Plateau and the evolution of its cryosphere, the development of fluvial systems, the acidification of the vast arid region of the Asian interior, variations in the monsoon and westerly climate systems on multiple timescales, the development of lakes and wetlands, the watershed system model, soil erosion, past human-environment interactions, biogeography, and physical geographic zonality. After briefly introducing international research developments, we review the history of research in physical geography in China, focusing on the major achievements and major academic debates, and finally we summarize the status of current research and the future prospects. We propose that in the context of the national demand for the construction of an ecological civilization, we should make full use of the research findings of physical geography, and determine the patterns and mechanisms of natural environmental processes in order to continue to promote the continued contribution of physical geography to national development strategies, and to further contribute to the theory of physical geography from a global perspective.     

Decisions under uncertainty: a computational framework for quantification of policies addressing infectious disease epidemics

Emerging infectious diseases continue to place a strain on the welfare of the population by decreasing the population’s general health and increasing the burden on public health infrastructure. This paper addresses these issues through the development of a computational framework for modeling and simulating infectious disease outbreaks in a specific geographic region facilitating the quantification of public health policy decisions. Effectively modeling and simulating past epidemics to project current or future disease outbreaks will lead to improved control and intervention policies and disaster preparedness. In this paper, we introduce a computational framework that brings together spatio–temporal geography and population demographics with specific disease pathology in a novel simulation paradigm termed, global stochastic field simulation (GSFS). The primary aim of this simulation paradigm is to facilitate intelligent what-if-analysis in the event of health crisis, such as an influenza pandemic. The dynamics of any epidemic are intrinsically related to a region’s spatio–temporal characteristics and demographic composition and as such, must be considered when developing infectious disease control and intervention strategies. Similarly, comparison of past and current epidemics must include demographic changes into any effective public health policy for control and intervention strategies. GSFS is a hybrid approach to modeling, implicitly combining agent-based modeling with the cellular automata paradigm. Specifically, GSFS is a computational framework that will facilitate the effective identification of risk groups in the population and determine adequate points of control, leading to more effective surveillance and control of infectious diseases epidemics. The analysis of past disease outbreaks in a given population and the projection of current or future epidemics constitutes a significant challenge to Public Health. The corresponding design of computational models and the simulation that facilitates epidemiologists’ understanding of the manifestation of diseases represents a challenge to computer and mathematical sciences.     

On three-dimensional geological modeling and visualization

3D geological modeling and visualization are the key technique issues to implement the plan of 揇igital Earth? At present, the major difficulties in 3D geo-logical modeling are as follows[1—5]: (1) 3D spatial data are difficult to acquire. What 3D geological modeling of complex objects and visu-alization depend on is the original data. However, it is very difficult to establish 3D complex geological models when the sampled data are sparse and insuffi-cient, the seismic profile data are lack…     

基于开源WebGIS的地震活动性分析平台

针对地震活动性研究对空间可视化软件的应用需求,研制了基于Web服务的地震活动性分析平台。设计了系统的体系结构,采用开源的WebGIS服务器Geoserver和OpenLayers客户端技术,实现了WebGIS服务与Web服务的集成。系统在B/S模式下工作,用户通过浏览器使用系统提供的服务,提供交互式图形用户界面,地图配置选项,区域选择工具、测距工具等。支持对地震进行空间和时间维度的分析,实现了地震、断层、政区等多种地理要素的空间可视化;利用WebGL技术实现了断层的3D模拟;支持多种地震参数时间序列分析方法;提供对图层进行配置、控制、选区和测量的功能接口;提供了丰富的交互式属性查询接口。     

土-结构动力相互作用的振动台试验研究综述

本文从土-结构动力相互作用振动台试验过程中所涉及的结构模型动力相似设计、模型土体的模拟及土体边界条件的模拟三个方面,回顾了近几年来土-结构动力相互作用振动台试验研究的发展历程与现状,重点描述了试验过程中为了更好地反映震动条件下土与结构动力相互作用的机理,学者们所采取的办法和措施。并在此基础上,介绍了一种新的研究土-结构动力相互作用的振动台试验技术。最后,总结了传统的土箱-振动台试验存在的不足,并与这种新的试验技术进行了对比,提出了对于这种新的试验方法仍需要进一步研究和解决的问题。     

地震科技发展战略的思考--建议组建地震数值模拟实验室

数值模拟是计算机科学、计算数学与其他各类学科如力学、材料学、工程技术等学科相互交叉渗透且充满活力的研究领域,它与物理、化学实验和理论分析一起成为解决许多重大科学问题和工程技术问题的三大支柱。数值模拟实验室的建设不仅是信息时代的需要,也是开展动力地震预报的关键,必将成为地震科学发展战略的重要组成部分。     

Virtual globe-based integration and sharing service method of GeoSpatial Information

How to integrate and disseminate globally distributed multi-source and heterogeneous spatial information is an open problem in integration and sharing service of geographic information.Here we propose a new service architecture suitable for integration and sharing of distributed multi-source geographic information.We also propose a global virtual pyramid model,which can be applied in 3D virtual globes.In view of the difficulty of web multi-node geographic information sharing service,we propose a web multi-node service aggregation method,integrated in our autonomously developed virtual globe platform GeoGlobe and introduced in the National Platform for Common GeoSpatial Information Services named"TIANDITU".It achieves2D and 3D integration for geographic information service.     

无井条件下建立碎屑岩储层地震地质模型研究

常规的储层建模以井数据为基础,建立孔隙度、渗透率和含油饱和度等储层属性参数模型,并通过油田开发生产数据进行拟合,得到最佳地质模型.在南海西北部深水区无井控制的情况下,针对中央峡谷浊积水道储层,采用确定性建模与连续型随机建模相结合的方法,建立碎屑岩储层地震地质模型,应用地震正演模拟和相似性分析方法,确定浊积水道砂体最佳模拟参数.文章首先分析了碎屑岩储层特征,应用连续型随机建模的方法模拟储层空间分布.然后分析实际地震、地质资料,应用层序地层学思想,对研究区划分沉积体系域,建立层序地层格架;基于波阻抗和多种地震属性,采用人机交互的方法对浊积水道储层框架结构进行精细解释,建立储层结构模型;将储层结构模型与砂泥互层随机介质进行"交"、"并"运算,利用连续型随机模拟方法对储层内部介质进行精细刻画,建立中央峡谷浊积水道随机介质储层模型;通过对模型正演模拟、常规处理和相似性分析等建立最佳储层模型.文章研究了在无井条件下建立储层地震地质模型的方法,揭示南海西北部深水区中央峡谷浊积水道储层的空间展布和内部结构特征.     

预制装配式桥墩连接类型及抗震性能研究综述

预制装配式桥墩的抗震性能取决于所采用的连接系统。本文从抗震性能的角度出发,系统地综述了“等同现浇”连接和“非等同现浇”连接的具体构造方式、数值模拟方法及涉及到的抗震问题。其中：在“等同现浇”连接方面,着重介绍了承插式连接、灌浆管道连接和钢筋连接器连接的构造特征、使用位置及其抗震性能试验研究进展“;非等同现浇”连接方面,则侧重阐述桥墩体系从仅设无粘结预应力筋到外置耗能器的演变过程;整理了两类连接的数值模拟研究进展,重点介绍了微观实体单元模型、集中塑性铰模型、集中质量模型、多弹簧模型、接缝纤维化模型这5种“非等同现浇”预制桥墩分析模型的建立方法及应用情况。最后,结合桥梁工程领域出现的新理念、新材料和新技术,展望了预制装配式桥墩的未来发展趋势。     

大型桥梁地震安全性在线监测与评估系统研究

大型桥梁地震安全性在线监测与评估系统包括四个方面的技术内容:1基于B/S架构的桥梁强震观测台阵实时监测技术;2基于多指标信息融合技术的桥梁安全评估方法;3快速桥梁数值仿真技术和抗震性能评估;4桥梁监测与评估系统集成与可视化系统。该系统实现了桥梁强震监测数据实时采集、传输、分析、诊断、仿真和评估一体化。平时不间断地分析诊断桥梁与初始或完好状态动力特性的差异,为桥梁养护和加固提供参考依据;发生船撞或地震时,快速评估事件后桥梁的安全状态,并对异常进行警报,给桥梁管理方提供破坏事件的强度信息。     

地磁感应电流研究综述

因太阳活动而引起的地磁扰动,会在地球表面感生出地电场,从而在地表附近的导体系统中产生地磁感应电流(GICs).太阳表面的异常活动而引起的磁暴会导致强烈的GICs,严重威胁电信设备、电网、油气管道和铁路运输网络等基础设施系统的安全运行,已经成为最严重的空间天气灾害之一.因此,对GICs进行深入研究以建立对其做出迅速预测的能力,在科学和应用方面都有重要意义.本文综述了GICs的研究进展,从引入空间天气的概念开始,将GICs作为从太阳活动到太阳风再到地球扰动的空间天气链的最终环节;重点阐述了GICs的计算中所涉及的三个步骤:地球表面地磁场重建、感应地电场的计算,以及地面导体系统中GICs计算;对每一步骤中主要方法的相关原理和应用做了简要介绍与评估;最后总结了当前GICs的研究现状,并对未来GICs的研究方向与挑战进行了展望.     

Application of deep learning in ecological resource research: Theories,methods, and challenges

Ecological resources are an important material foundation for the survival, development, and self-realization of human beings. In-depth and comprehensive research and understanding of ecological resources are beneficial for the sustainable development of human society. Advances in observation technology have improved the ability to acquire long-term, cross-scale,massive, heterogeneous, and multi-source data. Ecological resource research is entering a new era driven by big data. Traditional statistical learning and machine learning algorithms have problems with saturation in dealing with big data. Deep learning is a method for automatically extracting complex high-dimensional nonlinear features, which is increasingly used for scientific and industrial data processing because of its ability to avoid saturation with big data. To promote the application of deep learning in the field of ecological resource research, here, we first introduce the relationship between deep learning theory and research on ecological resources, common tools, and datasets. Second, applications of deep learning in classification and recognition,detection and localization, semantic segmentation, instance segmentation, and graph neural network in typical spatial discrete data are presented through three cases: species classification, crop breeding, and vegetation mapping. Finally, challenges and opportunities for the application of deep learning in ecological resource research in the era of big data are summarized by considering the characteristics of ecological resource data and the development status of deep learning. It is anticipated that the cooperation and training of cross-disciplinary talents may promote the standardization and sharing of ecological resource data,improve the universality and interpretability of algorithms, and enrich applications with the development of hardware.     

The Study of Biological Soil Crusts: Hotspots and Prospects

Biological soil crusts (BSCs), which cover 35% of the continents and exceed 70% of the living cover in parts of region, play important ecological roles in the evolution of soil–water–plant systems in arid and semiarid areas. Since the 1980s, studies of BSCs have become hot topics in physical geography. By reviewing the last 30 years of study reports, the present paper proposes the following future research focus: (1) Understanding the function of BSCs in carbon and nitrogen fixation in the micro‐scale (block), monitoring its distribution patterns in the macro‐scale (region) by remote sensing technology and geographic information systems, and evaluate the role of carbon and nitrogen fixation in the whole ecological system. The response of BSCs to global climate change should also be evaluated. (2) Studying techniques for the artificial fast cultivation or restoration of BSCs, and implementing engineering propagation and application of artificial BSCs, and determining the appropriate parameters for environmental criteria, including light, temperature, soil water moisture, and fertilizer, among others. Artificial cultivation and rapid propagation techniques could present significant perspectives for engineering applications.     

一种三维正交方位各向异性介质岩石 物理建模及弹性波正演模拟方法

通过线性滑动理论和岩石物理等效理论, 将两组正交直立裂隙介质等效为一种正交方位各向异性介质进行三维岩石物理建模, 通过高阶交错网格有限差分求解弹性波动方程模拟地震波在该种介质中的传播过程. 在建模过程中改变物性参数, 分析不同裂隙密度条件下的炮集和波场特征, 以及正交各向异性的方位特征. 研究结果表明, 各向异性强度随裂隙密度等物性增大而增强, 而且这些特征在共炮点道集和波场中均有所体现.      

张量CSAMT有效观测区域模拟对比分析

根据标量CSAMT、垂直双偶极源CSAMT、三偶极源CSAMT等多分量响应式设计程序,通过数值模拟给出其十字型场源的X方向和Y方向电偶极子电磁场各分量的场值分布图,发现十字型观测区域中存在着分布零散且较广的弱区,有效观测区域较小,且对地形条件要求苛刻,不利于在山区等地形起伏复杂地区施工.在旋转三偶极装置的原理基础上提出了多偶极子源矢量合成测量方式,相比较十字型场源的施工方式而言,通过矢量合成多组的电偶极子,有利于实现全区无弱区观测,同时场源铺设简便对各种地形有着较强的适用性.研究结果为张量可控源进一步的测量工作提供技术依据.     

Research on intact marine ecosystems: a lost era

It is proposed that a new, fifth era should be added to the four historical phases of marine research identified by Rupert Riedl, specifically an era devoted to studying and ameliorating disturbed marine ecosystems. In an age of global environmental deterioration, many marine ecosystems and organisms are high on the list of threatened entities. This poor status prompts research that would otherwise have been unnecessary and hinders research that would normally have been conducted. I argue that research into intact marine ecosystems is becoming increasingly difficult, and that most of our future insights into marine habitats will stem from knowledge gained by examining various disfunctions of those systems rather than their functions. The new era will therefore differ from past research in its underlying aim, the range of topics studied, the selection and funding of those topics, the validity of its conclusions, and in its urgency. Sea turtles and cetaceans are cited as case studies at the organismic level, shallow-water benthic communities, including coral reefs, at the ecosystem level.     

人工湿地研究现状与展望

自1950s开始系统性研究以来,人工湿地研究日趋深入,也得到了广泛的应用.本文基于文献报道,对人工湿地研究的历程特别是我国的研究进行了分析,分为起步探索、迅猛发展和规范应用三个阶段.梳理了人工湿地的研究现状,主要集中在如何提高脱氮除磷效率、对新兴污染物的去除、人工湿地根区微生物结构与功能以及人工湿地模型四个方面.核心还是提高人工湿地对污染物的去除效率并解释其机理.未来需要长期监测数据支撑的理论实践结合的设计规程;进一步揭示人工湿地的生物过程;建立合理简化的模型,对系统进行准确预测.     

Path-specific Velocity Structure of Western China from Surface-wave Dispersion

We develop one-dimensional (1-D) path-specific velocity models in western China using new Rayleigh and Love wave group and phase velocity dispersion measurements for 20 events in the region. The earthquakes were grouped into three geographic clusters from which we compute the average phase and group velocity dispersion. We invert the average dispersion curves simultaneously for 1-D shear-velocity models appropriate for the three central Asian paths, using three previous shear-velocity models as initial models. The models are validated by forward modeling waveforms of recent events. The crustal thickness beneath western China in the vicinity of the Lop Nor test site is 50–60 km and our velocity models are consistent with major geologic features (e.g., basins and mountain ranges) and previous structural models for this region.     

赤道-低纬电离层不规则结构和闪烁活动出现率的理论模型构建

为构建赤道-低纬电离层不规则结构和闪烁活动出现率的理论模型,本文根据分析赤道-低纬电离层的广义Rayleigh-Taylor(R-T)不稳定性得到的三维线性增长率的表达式,计算分析了线性增长率随地方时的变化特征.并选取计算得到的每日增长率的极大值表征每日的线性增长率,分析增长率随季节、太阳活动和地理经度的变化特征以及逐日变化特征,建立三维广义R-T不稳定性线性增长率的理论统计特征模型,发现增长率表现出显著的随地方时、季节、太阳活动和地理经度以及逐日变化特征.通过比较分析增长率的变化特征与不规则结构和闪烁活动的变化特征,发现三维广义R-T不稳定性的线性增长率能较好地反映不规则结构和闪烁活动随季节、太阳活动、地理经度以及逐日变化规律.本文建立的R-T不稳定性的三维线性增长率的统计特征模型可用于构建赤道-低纬电离层不规则结构和闪烁出现率的理论形态特征模型.