内蒙古大兴安岭林区极端气温事件变化特征

利用内蒙古大兴安岭林区11个气象站1971~2014年日平均气温数据,采用线性趋势、Morlet小波分析、克里金插值法对内蒙古大兴安岭林区极端气温的年变化进行分析。研究表明：极端高温天气和生物生长季天数在20世纪80年代中期以后呈显著增多趋势,极端低温天气呈显著减少趋势;在空间分布上,所有站点极端高温天气和生物生长季天数呈上升趋势,极端低温天气呈下降趋势,但空间差异明显。极端低温天气主要受27、18、11、7 a时间尺度周期影响。极端高温天气28 a左右周期振荡最为强烈,视为第一主周期,对极端高温天气影响最为显著,在2018年以后的大约8 a间（2019~2026年）极端高温天气可能会更加频繁。生物生长季受28 a时间尺度周期影响,且在2015~2022年生物生长季天数增长处于偏大期。     

The pulse of citizenship: reflections on Griffith Taylor and ‘nation‐planning‘

This exercise in a type of applied historiography begins by annotating aspects of reform in Western education from the 1880s to the 1930s, an interval which exhibits the responses of ‘new’ subjects to political and social demands for improved civics education, and encompasses the inauguration of a recognisably ‘academic’ geography in Australia. Designedly, since the nominated period also incorporates the early life and career of pioneering geographer Griffith Taylor, the discussion probes beneath the strata of obfuscatory generalisation to relate one individual's engagement with the vortex of change. More specifically, it extracts a few lessons from Taylor's approach to ‘Nation‐Planning’ to suggest an appropriate orientation to current reformism in Australian education. It is argued that, while this trend questions the civic utility of established disciplines, it has been badly served by a disturbing ignorance of the social and intellectual heritage of the subjects under challenge.     

中国农民工聚居区研究进展

作为快速城市化、工业化、相关制度和文化背景等多种因素影响下形成的一种聚落形态,中国农民工聚居区诞生于20世纪80年代。本文在梳理相关研究的基础上,将农民工聚居区研究划分为起步阶段、扩展阶段、社会空间转向和社区治理3个阶段。总体上看,对农民工聚居区的研究,在空间形态方面从静态走向动态,社会网络方面从群体走向空间,形成机制方面从传统的社会学、城市地理学视角转向制度经济学、文化地理学和空间生产视角,聚居区从改造管理走向合作治理,研究方法日益多元化。论文从研究思潮、研究视角、研究重点等方面比较了中国农民工聚居区与西方移民聚居区的差别,并对未来研究作了展望。     

中国半城市化地区乡村聚落空间格局演化机制探索——以西安市南郊大学城康杜村为例

半城市化地区因其在社会、经济、景观等方面的过渡性、多样性和动态性,从而得到地理学、城乡规划学、生态学及社会学等多个学科学者的关注。本文重点研究城市化近域推进过程中半城市化地区城乡聚落的消长规律,探讨保留村落的空间格局演化特征及其动力机制。在综述半城市化地区和乡村聚落研究进展的基础上,以西安市南郊大学城康杜村为例,综合运用遥感影像解译、野外调查和统计分析等方法,对其近15年来的聚落空间格局及其演化机制进行研究。结果表明：康杜村在2001-2015年间共经历了4次建房高峰和2次显著的就业变迁,绝大多数原住民的房屋租赁始于2006年;原住民的就业变迁时间与主要的城市化时间节点高度一致;就业变迁与建房高峰之间呈现出“刺激—反馈”的系统演化特征。城市化近域推进的外部驱动和村庄原居民的自我调适是半城市化地区乡村聚落空间格局演化的主要动力。     

小兴安岭“晚古生代”地层的时代与物源：地质与碎屑锆石 U-Pb 年代学证据

本文对出露于小兴安岭的"晚古生代"红山组和黑龙宫组进行了碎屑锆石LA-ICP-MS U-Pb定年,旨在准确限定红山组和黑龙宫组的沉积时限,并揭示其物源组成。样品中大多数锆石呈自形—半自形,显示典型的岩浆生长环带或条痕状吸收,暗示其岩浆成因。研究结果显示,采自红山组标准剖面泥板岩中的碎屑锆石42个分析点产生以下年龄峰值:747、807、849、903、956、1 167和1 811 Ma,表明红山组沉积于747 Ma之后;采自伊春地区黑龙宫组泥板岩中的碎屑锆石97个分析点产生以下年龄峰值:700(发生Pb丢失)、805、902、1 764、2 446和2 467Ma,确定黑龙宫组沉积于805Ma之后。近年来在该地区"晚古生代"地层中碎屑锆石的定年结果显示普遍存在561 Ma年龄,鉴于红山组和黑龙宫组中缺乏上述锆石年龄组合,认为研究区的红山组和黑龙宫组的形成时代分别为747~561 Ma和805~561 Ma,时代置于新元古代。基于两组碎屑锆石的年龄频数和区域地质年代学资料的对比分析,两个地层单元中出现大量新元古代岩浆锆石,证明研究区可能存在新元古代岩浆事件,岩浆产物为两组地层提供物源;而中—古元古代碎屑锆石的存在,同时暗示该区沉积时地表或地表浅部应存在更为古老的前寒武纪残片。     

构造变形流变场分配多尺度数值模拟研究

流变场分配(flow field partitioning)现象在自然界高应变岩石中十分常见。传统的基于固体连续变形机制理论的变形分析中,流变场分配问题往往被忽略,致使应变带中流变场如何分配一直都缺乏深入认识。Eshelby阐述了嵌入均匀介质中的椭球体内流变场的数学方法,为探讨流变场的分配奠定了理论基础。本文从固体连续变形机制入手,重点介绍基于Eshelby理论的多尺度数值模拟思路和方法,探讨流变场分配问题。模拟结果表明:嵌入基质中的椭球体内分布的流变场主要取决于椭球体与基质间的相对流变强度,椭球体的相对流变强度越低,其变形越接近于简单剪切,且有限应变积累越快。模拟还揭示,不同流变强度的椭球体内模拟拉伸线理和面理产状的总体格局反映基质流变场特征。由此得到以下结论:(1)在流变场分配现象显著的区域,局部小尺度上应变、涡度测量分析结果无法直接揭示区域流变场运动学边界条件,对这些区域的构造变形分析必须是多尺度的;(2)基于Eshelby理论的以实质变形组构为约束的多尺度数值模拟分析,能更为合理地揭示高应变岩石中流变场的分配。     

Error assessment of grid-based diffuse solar radiation models

Two grid-based diffuse solar radiation models, ESRI’s Solar Analyst (SA) and Kumar’s model (KM), were assessed using a data-independent approach where each model’s numerical results of clear sky diffuse radiation on V/U-shaped surfaces were compared with analytical results derived using each model’s assumptions. SA and KM consistently underestimate and overestimate, respectively, diffuse radiation at daily, seasonal, and annual scale relative to the analytical results based on each model’s parameterizations. Overall, SA performs better than KM in modeling diffuse radiation at most timescales. While SA and KM have similar error in calculating diffuse radiation on a horizontal surface, SA models sky view factor much better than KM, with mean absolute relative differences of 0.76% and 17.02%, respectively. KM has a large error in sky view factor as it does not consider the shading effect from surrounding terrain. Sky view factor error in SA is small and use of more zenith divisions can further reduce the error. Based on our previous study, model performance on clear sky global solar radiation was also evaluated. Overall, KM performs better than SA in global radiation as KM performs better than SA in modeling direct radiation which is the major component of global radiation.     

Enabling point pattern analysis on spatial big data using cloud computing: optimizing and accelerating Ripley’s K function

Performing point pattern analysis using Ripley’s K function on point events of large size is computationally intensive as it involves massive point-wise comparisons, time-consuming edge effect correction weights calculation, and a large number of simulations. This article presented two strategies to optimize the algorithm for point pattern analysis using Ripley’s K function and utilized cloud computing to further accelerate the optimized algorithm. The first optimization sorted the points on their x and y coordinates and thus narrowed the scope of searching for neighboring points down to a rectangular area around each point in estimating K function. Using the actual study area in computing edge effect correction weights is essential to estimate an unbiased K function, but is very computationally intensive if the study area is of complex shape. The second optimization reused the previously computed weights to avoid repeating expensive weights calculation. The optimized algorithm was then parallelized using Open Multi-Processing (OpenMP) and hybrid Message Passing Interface (MPI)/OpenMP on the cloud computing platform. Performance testing showed that the optimizations effectively accelerated point pattern analysis using K function by a factor of 8 using both the sequential version and the OpenMP-parallel version of the optimized algorithm. While the OpenMP-based parallelization achieved good scalability with respect to the number of CPU cores utilized and the problem size, the hybrid MPI/OpenMP-based parallelization significantly shortened the time for estimating K function and performing simulations by utilizing computing resources on multiple computing nodes. Computational challenge imposed by point pattern analysis tasks on point events of large size involving a large number of simulations can be addressed by utilizing elastic, distributed cloud resources.     

西安市生态环境与经济发展的耦合关系

采用耦合协调模型对2000—2013年西安市生态环境系统和经济系统进行综合评价分析,并对两大系统的耦合关系及耦合度演变趋势进行研究。结果表明:生态环境系统综合水平呈现在波动中下降的演变趋势,经济系统综合发展水平呈现在波动中上升的演变趋势;西安市生态环境和经济发展二者协调性由低水平的经济滞后失调型发展为高水平的生态环境滞后协调型,并存在工业废气排量增加和不合理的产业结构等问题,因此,需加强污染物排放的控制与监管,实施绿色考核制度,坚持绿色生活方式,从转变经济增长方式和增长动力2个角度出发,从而实现区域经济社会可持续发展。     

A spatially distributed Clark’s unit hydrograph based hybrid hydrologic model (Distributed-Clark)

ABSTRACT

A hybrid hydrologic model (Distributed-Clark), which is a lumped conceptual and distributed feature model, was developed based on the combined concept of Clark’s unit hydrograph and its spatial decomposition methods, incorporating refined spatially variable flow dynamics to implement hydrological simulation for spatially distributed rainfall–runoff flow. In Distributed-Clark, the Soil Conservation Service (SCS) curve number method is utilized to estimate spatially distributed runoff depth and a set of separated unit hydrographs is used for runoff routing to obtain a direct runoff flow hydrograph. Case studies (four watersheds in the central part of the USA) using spatially distributed (Thiessen polygon-based) rainfall data of storm events were used to evaluate the model performance. Results demonstrate relatively good fit to observed streamflow, with a Nash-Sutcliffe efficiency (E_NS) of 0.84 and coefficient of determination (R²) of 0.86, as well as a better fit in comparison with outputs of spatially averaged rainfall data simulations for two models including HEC-HMS.