中国东部沿海地区城市经济韧性的空间差异及其产业结构解释

经济韧性的强弱决定着城市在面对冲击时可以快速度过危机还是陷入长期经济发展停滞。本文将城市经济韧性区分为长期经济韧性和短期经济韧性,分析中国东部沿海地级及以上城市的经济韧性和产业结构的时空分异特征,探讨产业结构在不同时期对城市经济韧性的影响。研究发现,东部沿海地区城市不同时期的短期经济韧性及长期经济韧性存在明显的空间差异;长期经济韧性和短期经济韧性的影响因素不同,表征产业整体技术含量的经济复杂度和表征产业关联程度的相关多样化指数能显著提升城市长期经济韧性,短期经济韧性的影响因素则因时期不同而存在差别。延长产业价值链、构建地方产业集群、提升产业层次水平,有助于城市提高经济韧性。     

“社会—生态系统”治理研究的原型分析：概念、方法和展望

“社会—生态系统”治理的关键挑战是知识的积累和转移。一方面,“社会—生态系统”的情景依赖使得很难得出有关有效治理的一般结论;另一方面,通用的制度设计又可能由于过于抽象而无法应用于具体的问题。这看似是一个“无解”的问题。但是,比较分析现实中成功或失败的治理案例,为寻找“社会—生态系统”治理之道提供了可能。在“社会—生态系统”治理研究中,原型揭示了人与自然互动中反复出现的规律(pattern),成为一种新的研究方法。论文厘清了原型的概念与特征,阐述了原型分析的意义,梳理并评述了原型分析在“社会—生态系统”治理研究领域的进展。研究发现：① 原型分析在一个中间抽象层次上探索解释某个现象的重复模式,可视为案例中的“积木”;② 应将原型分析作为一种基于整体主义的方法论(methodological holism)来理解,而不是一种特定的方法、框架或理论;③ 原型分析能促进案例研究知识的积累与转移、“兼容”多种研究方法并在“社会—生态系统”治理中实现一定程度的预测性;④ 原型分析基于“类型—子类型”的多层次分析,有助于找到复杂“社会—生态系统”中的“强”因果关系;⑤ 原型不仅是研究的结果,也是研究的起点,对原型的测试、修正、完善和可信度检验是未来研究的重要方向。     

Temporal correlation patterns in pre-seismic electromagnetic emissions reveal distinct complexity profiles prior to major earthquakes

In the last years, continuous recordings of electromagnetic emissions from geophysical observatories have been recognized to exhibit characteristic fluctuation patterns prior to some major earthquakes. To further evaluate and quantify these findings, this work presents a detailed assessment of the time-varying correlation properties of such emissions during the preparatory phases preceding some recent earthquakes in Greece and Italy. During certain stages before the earthquakes’ occurrences, the electromagnetic variability profiles are characterized by a marked increase in the degree of organization of fluctuations, which allow developing hypotheses about the underlying physical mechanisms. Based on the preparatory phases of selected seismic events, the information provided by different statistical properties characterizing complementary aspects of the time-varying complexity based on temporal correlations is systematically assessed. The obtained results allow further insights into different pre-seismic stages based on the variability of electromagnetic emissions, which are probably associated with distinct geophysical processes.     

基于多智能体的洪涝风险动态评估理论模型

随着全球气候变化的加剧和城市化进程的快速发展,洪涝灾害的影响和复杂性日益加剧。洪涝灾害风险评估是一项复杂的系统工程,在防洪减灾工程理论与实践中具有重要意义;作为洪涝灾害风险管理和应急处置的基础和核心,风险评估模型直接影响洪涝灾害风险评估结果的可靠性。洪涝灾害风险是洪涝灾害复杂系统组成部分相互作用的结果,综合考虑洪涝灾害系统的特点以及智能体建模的优势,提出了一种基于多智能体的洪涝风险动态评估理论模型。首先从复杂系统建模的角度出发,对洪涝灾害复杂系统进行分析建模,构建基于多智能体的洪涝灾害风险动态评估框架模型;其次,对所构建的框架模型中单个智能体模型进行研究,分别建立基于反应型的孕灾环境智能体模型和基于慎思型的致灾因子、承灾体和风险分析智能体模型,并对以上单个智能体的流程进行研究;然后以风险分析智能体联盟为例对模型框架中所涉及到4类智能体联盟的内部结构和流程进行分析,对构建的框架模型中涉及到的智能体通信协调和作用规则进行探讨;最后,在Netlogo平台上,基于30 m DEM数据和构建的模型,对淮河流域的暴雨型洪涝孕育发生发展全过程的人口风险进行动态评估。结果表明,构建的模型能有效评估洪涝灾害全过程中人口风险的动态。研究结果对洪涝灾害人口灾情评估、应急救助和应急管理都具有较强的指导意义。     

Modelling centennial sediment waves in an eroding landscape – catchment complexity

Sediment flux dynamics in fluvial systems have often been related to changes in external drivers of topography, climate or land cover. It is well known that these dynamics are non‐linear. Recently, model simulations of fluvial activity and landscape evolution have suggested that self‐organization in landscapes can also cause internal complexity in the sedimentary record. In this contribution one particular case of self‐organization is explored in the Sabinal field study area, Spain, where several dynamic zones of sedimentation and incision are observed along the current river bed. Whether these zones can be caused by internal complexity was tested with landscape evolution model (LEM) LAPSUS (Landscape Process Modelling at Multi‐dimensions and Scales). During various 500 year simulations, zones of sedimentation appear to move upstream and downstream in eroding river channels (‘waves’). These waves are visualized and characterized for a range of model settings under constant external forcing, and the self‐organizing process behind their occurrence is analysed. Results indicate that this process is not necessarily related to simplifications in the model and is more generic than the process of bed‐armouring that has recently been recognized as a cause for complexity in LEM simulations. We conclude that autogenic sediment waves are the result of the spatial propagation in time of feedbacks in local transport limited (deposition) and detachment limited (erosion) conditions. Copyright © 2014 John Wiley & Sons, Ltd.     

复杂地形对计算地表太阳短波辐射的影响

首先利用数字高程数据(DEM)、大气辐射传输模式6S以及野外观测资料计算了复杂地形(青藏高原)上地表入射太阳辐射,然后计算不考虑地形产生的地表辐射的计算误差,对误差进行归一化后得到相对辐射误差.结果显示,相对辐射误差的标准差(即相对地表辐射计算误差绝对值的统计平均值) Se随太阳天顶角的增加呈指数增长,随高度标准差的增加几乎呈线性增长,随数字高程数据的分辨率(或卫星资料的分辨率)降低而降低.利用分步拟合方法拟合了Se随太阳天顶角、高度标准差和数字高程分辨率的变化.利用拟合方程可以计算任意地形条件下,不同分辨率的卫星(或数字高程)资料在不同太阳天顶角情况下,不考虑地形复杂性产生的平均地表入射太阳辐射的计算误差,结果表明,使用中分辨率的卫星(如MODIS)资料计算地表太阳净辐射时,需要考虑地形复杂性.     

基于复杂性科学的绿洲城镇化演进理论探讨

基于复杂性科学,引入涌现、协同、“吸引盆”等概念和模型,从涌现生成、协同维生、临界相变三个维度构建绿洲城镇化演进的理论框架。对绿洲城镇化的生成、演化和转型的过程与机理进行系统剖析,并据此对诺瑟姆曲线进行新的解读。研究表明：① 绿洲城镇是以人为核心的绿洲地域系统在多时空维度上的结构和功能的整体涌现现象,涌现形成的条件包括生成主体、自组织与受限生成机制、环境策略;② 竞争与协同机制维持了绿洲城镇化系统的生命活力与进化稳定,是系统演化的根本动力,系统不同层级具有不同的协同维生机制,根据协同学和耗散结构理论构建的绿洲城镇化演进的协同度和有序度可以识别系统演化方向;③ 绿洲城镇化过程实质上也是系统的自组织临界相变,该过程是一个渐变与突变、有序与混沌、稳态与非稳态的辩证统一;④ 时空间的正负反馈机制使绿洲城镇化复杂性与有序性不断提高,且不断向自组织临界态靠近,城镇化系统外在表现为活力与多样性增强。     

The challenge of modeling pool–riffle morphologies in channels with different densities of large woody debris and boulders

Studies on pool morphologies include reports of over 80% or 90% of pools being associated with structural controls and large obstructions that include boulders, bedrock outcrops and large woody debris (LWD). A Monte Carlo simulation approach and developmental computer model was created to predict pool formation, spacing and the percentage length covered by pools, riffles, scour holes and runs based on input data that include channel slope, width, the number of small and large boulders, and the number of 10–30 cm, 30–60 cm and >60 cm pieces of wood. The statistical‐empirical model is founded on the idea that boulders, bedrock outcrops and large woody debris provide a physical framework that then controls local water‐surface slopes, velocity patterns and the locations of pools and riffles. The spacing values of individual types and sizes of obstructions are modeled as log‐normal distributions with separate distributions for each obstruction type. Pools are assigned different probabilities of development depending on the obstruction type. Pool and riffle lengths used to create the subsequent morphology follow their own slope‐dependent, log‐normal trends. A minimum distance develops between successive pools because of the backwater and turbulent conditions needed for pool formation. The total number and spacing of pools, riffles and scour holes thus reflects the number and locations of obstructions and characteristics of the pool–riffle couplet. The simulation model accurately captures the number of pools in the modeled data range at 65% of all the verification field sites, and 86% of the verification field sites with a more limited range of width and slope characteristics. Lower levels of prediction capabilities are associated with modeled numbers of scour holes and log jams. The model accurately mimics some statistical attributes of pool spacing, and future versions of the model could be developed to improve overall predictive capabilities. Copyright © 2011 John Wiley & Sons, Ltd.     

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基于三角网格的有限差分法叠后逆时偏移

Compared with other migration methods, reverse-time migration is based on a precise wave equation, not an approximation, and performs extrapolation in the depth domain rather than the time domain. It is highly accurate and not affected by strong subsurface structure complexity and horizontal velocity variations. The difference method based on triangular grids maintains the simplicity of the difference method and the precision of the finite element method. It can be used directly for forward modeling on models with complex top surfaces and migration without statics preprocessing. We apply a finite difference method based on triangular grids for post-stack reverse-time migration for the first time. Tests on model data verify that the combination of the two methods can achieve near-perfect results in application.