黄土丘陵沟壑区地形复杂度分析

针对黄土丘陵沟壑区地形复杂度难以准确量化的问题,该文提出了基于区统计的评价方法,采用地形分析方法提取坡度、地势起伏度、地表切割深度,沟壑密度等地形因子,应用区统计法、变异系数法对研究区地形复杂度进分析评价。结果表明:彭阳县地形复杂度的空间分布特征与坡度、地势起伏度、地表切割深度的变化规律相似,中复杂区域和高复杂区域所占面积较大,且存在明显的分异规律;基于1:50 000数字高程模型数据的地形复杂度提取与分析方法能够快速有效地获取研究区地形地貌信息,为黄土丘陵沟壑区流域治理、土地规划、地形及景观格局的分区和尺度推绎等研究提供依据。     

中国城市网络的空间组织及其复杂性结构特征

全球化、信息化与快速城市化深刻影响了中国的城市体系,多区位企业组织所形成的城市网络正处于日益复杂的空间嬗变过程.基于2010年企业名录的总部—分支机构型关联数据,研究构建了330×330的地级以上城市网络连接关系,并运用复杂网络分析工具来探索中国城市网络的空间组织特征.研究发现:①中国的城市网络联系呈现以“北京—上海—广深—成都”为核心的菱形空间结构,不同等级的网络流强度具有显著的空间异质性,城市网络的空间组织是一个择优性和地理邻近性复杂作用的过程;②中国城市网络正处于一个简单随机向复杂有序结构的转化期,整体大尺度的网络结构还有待形成;③中国城市网络整体表现出明显的小世界网络效应;④中国城市的二值点度网络为明显的异配性连接特征,而加权强度网络连接则一定程度上表现出“富人圈”的现象;⑤中国城市网络的层级性并不明显,城市网络的点度和强度的关系呈非线性增加特征.     

Structural complexity influences the ecosystem engineering effects of in-stream large wood

Large wood (LW) is an ecosystem engineer and keystone structure in river ecosystems, influencing a range of hydromorphological and ecological processes and contributing to habitat heterogeneity and ecosystem condition. LW is increasingly being used in catchment restoration, but restored LW jams have been observed to differ in physical structure to naturally occurring jams, with potential implications for restoration outcomes. This article examines the structural complexity and ecosystem engineering effects of LW jams at four sites with varying management intensity incorporating natural and restored wood. Our results reveal: (i) structural complexity and volume of jams was highest in the site with natural jams and low intensity riparian management, and lowest in the suburban site with simple restored jams; and (ii) that structural complexity influences the ecosystem engineering role of LW, with more complex jams generating the greatest effects on flow hydraulics (flow concentration, into bed flows) and sediment characteristics (D₅₀, organic content, fine sediment retention) and the simplest flow deflector-style restored jams having the least pronounced effects. We present a conceptual model describing a continuum of increasing jam structural complexity and associated hydromorphological effects that can be used as a basis for positioning and evaluating other sites along the management intensity spectrum to help inform restoration design and best practice.     

Performance of shape indices and classification schemes for characterising perceptual shape complexity of building footprints in GIS

Shape characterisation is important in many fields dealing with spatial data. For this purpose, numerous shape analysis and recognition methods with different degrees of complexity have so far been developed. Among them, relatively simple indices are widely used in spatial applications, but their performance has not been investigated sufficiently, particularly for building footprints (BFs). Therefore, this article focuses on BF shape characterisation with shape indices and classification schemes in a GIS environment. This study consists of four phases. In the first phase, the criteria for BF shape complexity were identified, and accordingly, benchmark data was constructed by human experts in three shape complexity categories. In the second phase, 18 shape indices were selected from the literature and automatically computed in GIS. The performance of these indices was then statistically assessed with histograms, correlation matrix and boxplots, and consequently four indices were found to be appropriate for further investigation. In the third phase, two new indices (Equivalent Rectangular index and Roughness index) were proposed with the objective to measure some BF shape characteristics more efficiently. The proposed indices also were found to be appropriate with the same statistical assessment procedures. In the final phase, BF shape complexity categories were created with the pairs of six appropriate indices and four choropleth mapping classification schemes (equal intervals, natural break, standard deviation, and custom) in GIS. The performance of the index–scheme pairs was assessed against the benchmark data. The findings demonstrated that both new indices and two of the selected indices (Convexity and Rectangularity) delivered higher performance. The custom classification scheme was found more ideal to reveal absolute shape complexity with the index value ranges derived from the boxplots while the other classification schemes were more appropriate to reveal relative shape complexity.     

关于岩体爆破研究的几点思考

为研究和探索爆炸荷载与岩体相互作用的本质,运用能量守恒、系统论和复杂性理论,阐述了岩体爆破过程中的几个重要问题,即炸药与岩体的相互匹配、岩体爆破的系统性和复杂性问题。     

Developing,choosing and using landscape evolution models to inform field‐based landscape reconstruction studies

Landscape evolution models (LEMs) are an increasingly popular resource for geomorphologists as they can operate as virtual laboratories where the implications of hypotheses about processes over human to geological timescales can be visualized at spatial scales from catchments to mountain ranges. Hypothetical studies for idealized landscapes have dominated, although model testing in real landscapes has also been undertaken. So far however, numerical landscape evolution models have rarely been used to aid field‐based reconstructions of the geomorphic evolution of actual landscapes. To help make this use more common, we review numerical landscape evolution models from the point of view of model use in field reconstruction studies. We first give a broad overview of the main assumptions and choices made in many LEMs to help prospective users select models appropriate to their field situation. We then summarize for various timescales which data are typically available and which models are appropriate. Finally, we provide guidance on how to set up a model study as a function of available data and the type of research question. Copyright © 2017 John Wiley & Sons, Ltd.     

Source speciation resolving hydrochemical complexity of coastal aquifers

There is a growing concern of seawater intrusion to freshwater aquifers due to groundwater overexploitation in the eastern coastal belt of Southern India. The problem becomes complex in the regions where industrial effluents are also contaminating the freshwater aquifers. In order to understand the hydrochemical complexity of the system, topographic elevation, static water level measurements, major ion chemistry, ionic cross plots, water type contours and factor analysis were applied for 144 groundwater samples of shallow and deep sources from Quaternary and Tertiary coastal aquifers, located within the industrial zone of 25 km² area near Cuddalore, Southern India. The ionic cross plots indicates dissolution of halite minerals from marine sources and seawater mixing into inland aquifers up to the level of 9.3%. The factor analysis explains three significant factors totaling 86.3% of cumulative sample variance which includes varying contribution from marine, industrial effluent and freshwater sources.     

复杂断层网络环境下地下洞室群三维地质分析与应用

断层构造是制约地下工程设计与施工的关键因素。综合考虑复杂地质构造与地下洞室群结构的耦合关系,采用三维地质建模方法建立实现了地层体、断层体与地下洞室群结构的统一模型。基于三维模型提出了断层复杂度的概念,为水利水电工程地下厂房洞室群的选址方案分析提供了一种新的手段。针对地下围岩稳定性问题,提出基于断层与断层、断层与开挖面相互切割的曲面块体识别方法,搜索地下厂房洞室群内可能的失稳区域。上述方法已成功应用在某水电工程地下厂房洞室群分析中,在设计方案优化分析中取得了良好的效果。     

灾害链灾情累积放大研究方法进展

近年来全球范围内频发的重大自然灾害事件,表明一种灾害引发一系列次生灾害的灾害链现象使得灾情通过累积放大效应而大大超过单一灾种灾情,深入研究灾害链灾情累积放大过程是有效防范巨灾风险的前提.首先,本文梳理了国内外研究中不同视角下对灾害链现象的理解,认为灾害链一般性概念中应当包含孕灾环境、致灾因子链、承灾体以及它们在时间和空间上复杂相互作用关系,只有从地理学的综合性角度出发,才能正确而完整的理解灾害链过程灾情累积放大机制.其次,按研究思路的差异,综述了当前研究灾害链灾情累积放大过程的5 类方法,包括经验地学统计方法、概率模型、复杂网络模型、灾害模拟以及多学科理论方法.从描述灾害链要素在时间和空间上复合作用的角度出发,分别讨论了它们在刻画灾害链灾情放大过程中的优势与不足.选取了影响较大、灾害引发关系典型的地震灾害链与台风灾害链,从灾种维度综述上述几种方法在实际应用中的概况及进展.最后,提出综合多种方法发展与完善灾害链灾情累积放大效应过程的动态模拟是灾害链的研究趋势,其中关键在于模拟灾害链系统各要素的时间与空间上的耦合,研究思路从“静态—描述—解释”向“动态—过程—模拟”的转变是理解灾害链、灾害系统复杂性的重要途径.     

现代地球化学的理论思维结构

地球科学和地球化学的进展,不但加深和扩大了对地球的认识和理论成果,同时也总结提炼出了全新的科学思维方法。复杂性理论和系统思维是科学认识论的一次飞跃。现代地球化学建立了较完整的理论和方法体系,给地质科学认知地球提供了依据和支撑。作者论证了系统思维和逻辑演绎法相结合的思维方式,是研究和认识地球复杂巨系统以及推动地球科学理论创新的指导思想,并提出了运用现代地球化学理论构架和方法体系,综合地球科学系统思维与逻辑思维相结合方向的地球化学认知模型,为深入研究地球物质能量系统的行为和解决人类面临的资源、环境和灾害问题提供新的思路。