Solid–fluid transition modelling in geomaterials and application to a mudflow interacting with an obstacle

Given the contrasting behaviour observed for geomaterials, for example, during landslides of the flow type, this contribution proposes an original constitutive model, which associates both an elasto‐plastic relation and a Bingham viscous law linked by a mechanical transition criterion. This last is defined as the second‐order work sign for each material point, which is a general criterion for divergence instabilities. Finite element method with Lagrangian integration points is chosen as a framework for implementing the new model because of its well‐known ability to deal with both solid and fluid behaviours in large deformation processes. A first boundary model considering a sample of initially stable soil, a slope and an obstacle is performed. The results show the power of the constitutive model because the consistent evolution of initiation, propagation and arrest of the mudflow is described. A parametric study is led on various plastic and viscous parameters to determine their influence on the flow development and arrest. Finally, forces against the obstacle are compared with good agreement with those of other authors for the same geometry and a pure viscous behaviour. Copyright © 2014 John Wiley & Sons, Ltd.     

城乡过渡带空间演进与空间交互强度分析

采用NPP/VIIRS夜间灯光数据提取广州市城乡过渡带边界,利用基于sDNA模型修正的引力模型测算2012—2019年广州市城乡过渡带的空间交互强度,分析其空间演进特征与社会经济发展的关系。研究表明：1）2012—2019年广州市城乡过渡带总体呈扩大趋势,以北偏东方向发展为主,破碎区块逐渐演变为连续区域;2）广州市城乡过渡带之间的空间交互网络结构呈现“多方向化”趋势,从最初的西南侧单线网络结构逐步发育成多方向闭合网络联结结构,目前演变为南北两支、东西向的强空间交互态势,以白云区为代表的北部区域和以番禺区为代表的南部区域是广州市城乡过渡带的重要战略节点地域;3）广州市城乡过渡带社会经济优势度呈现出由内向外的3个空间层级结构,并由城市核心区辐射带动,向北、东北与东南3个方向推动发展为城乡过渡带;4）各城乡过渡带的发展速度不均衡现象仍较明显,广州市应结合本区域优势产业和自然资源,走联合与互补发展并存的道路,重视城乡过渡带区域发展引擎,增强其与周边地区联系的潜力。     

热带气旋直接降水对中国的影响研究

本文基于RSMC台风最佳路径资料以及TRMM逐日降水资料,对1998—2013年间中国区域热带气旋(TC)直接降水的时空分布特征进行了统计研究。结果表明:约54.2%的西北太平洋TC在中国陆地上产生了直接降水。TC直接降水对中国的影响范围较广,未变性TC的降水决定了全部TC降水的西界,而潜在变性TC的降水决定了全部TC降水的北界。自每年的4月开始,TC直接降水开始影响中国,以8月最为频繁,潜在变性TC的影响以9月为最。降水首日,全体TC以台风及以上强度为主,中心主要分布在30°N以南。未变性的TC强度较弱,降水面积大、降水强度强;而潜在变性TC则以台风(TY)及以上强度为主,其单个TC的平均降水面积和降水强度以热带低压(TD)及以下强度TC为最大。本文工作为TC在中国直接降水的气候特征以及TC变性前期降水分布特征提供了一些有意义的结论。     

山东省农村居民点转型的空间特征及其经济梯度分异

为探究农村居民点转型的空间结构及其与经济发展的关联性,以山东省为例,基于农村宅基地转型的理论假设与测度方法,运用空间关联分析方法研究农村居民点转型的空间布局和集聚特征,并以人均GDP作为特征指标划分各县级行政区的经济发展梯度,从省级全域层面和“点、线、面”特征单元综合的角度,揭示农村居民点转型与经济发展的相关性及其耦合关系。结果显示,在空间分布上,2005-2014年山东省农村居民点转型指数呈现西高东低和南高北低的态势;在全局趋势上,Moran's I指数达到0.6317,说明农村居民点转型存在显著的空间集聚现象;在局部趋势上,农村居民点转型的热点区和次热点区集中分布在鲁西黄泛平原、鲁西南淮河平原以及鲁中沂蒙山区,次冷点区分布在次热点区外围,冷点区分布在胶东丘陵地区和鲁北黄河三角洲地带;在相关性分析上,农村居民点转型与经济发展水平具有明显的数理统计相关性和空间耦合性,无论是全域层面还是特征单元,农村居民点转型均表现出从低级到高级经济梯度的递减规律、且乘幂变化趋势显著。本文探索了农村居民点转型的空间特征,弥补了土地利用转型空间性分析的不足;同时研究结果也较好地验证了前人提出的理论假设。     

农村宅基地功能转型分析——以江西省鄱阳县为例

农村宅基地是农村土地系统中极其重要的组成部分,是农村衰落、农村空心化等各种问题表征的重要载体。农村地区发生巨大变化的同时,农村宅基地也发生着深刻的转型。本研究在总结国内外对于农村宅基地多功能分类的基础上,根据实地调查问卷,从宅基地功能提升的角度划分并界定了宅基地的人口承载功能、资产以及居住功能。通过协调转型度模型对农村宅基地的功能及协调转型度进行了分析。结果表明:(1)2000–2017年鄱阳县农村宅基地功能转型度在整体上有了明显提升。(2)北部山地丘陵区及环鄱阳湖区主要分布着协调转型度的高值区,近县城的平原区主要分布着协调转型度的低值区。(3)区位条件与资源禀赋较好的区域,人口、资本等要素非农化的支撑条件也比较好,相应的非农化趋势也更为明显。应根据不同区域农村宅基地转型的差异化情况提出针对性的发展建议。     

东北地区资源型城市转型过程中社会—经济—环境协调演化特征

借鉴协调发展相关理论,构建综合评价资源型城市社会、经济和环境转型的指标体系,利用面板数据回归模型测算2000-2014年系统内各要素对资源型城市协调转型的作用,对东北地区资源型城市转型以来协调发展的时空格局进行分析。研究发现：① 东北地区资源型城市转型协调水平呈现波动式缓慢上升的走势,共出现四次较大幅度的波动,空间上差异性先减弱后加剧,协调程度较高的地区主要集中在辽宁省南部,失调城市分布在黑龙江省北部边缘地区,无论是协调度水平变化或是空间分布上这种“两极”分化的趋势越来越明显。② 东北地区资源型城市协调转型发展总体水平不高,从划分类型看,协调发展型城市在社会—经济—环境各方面作用力均衡较好,对社会服务设施完善等方面投入强于发展调和型城市和失调衰退型城市,钢铁型城市协调转型水平强于石油型城市和冶金型城市,森工型城市表现最弱。③ 第三产业发展、教育、技术、非国营经济、生产生活环境等因素对协调转型的促进作用显著,但历史遗留问题、产业结构升级等仍待进一步解决,同时也对实践创新、体制机制改革提出了高要求。     

市场转型背景下北京市中低收入居民的住房机会与职住分离研究

基于北京市9个不同类型中低收入社区的600位就业者的问卷调查数据,通过构建多元线性回归模型,验证了住房机会（住房搬迁机会）以及就业机会（工作单位类型）等市场转型过程中的制度性因素对中低收入者就业可达性的影响。研究表明,北京市中低收入居民中,国有企业单位及非国有企业单位就业者相对于行政事业单位就业者,显著地承受更大程度的职住分离,体现出单位制度残留的持续影响。由于政府保障性住房项目而搬迁的中低收入居民职住分离程度最大,而因个人原因发生居住搬迁的中低收入者职住距离则相对较近。拥有北京市户口的本地内生型中低收入者、非户主低收入者、男性低收入者的职住分离程度显著更大。最后,北京市中低收入者的月收入与其职住距离成显著正相关,表明市场因素开始发挥作用,但当考虑了住房搬迁机会变量后,部分市场化因素的影响不仅减弱并且变得不显著,而制度性因素的影响变得更强且统计上显著。由此说明,对于转型期的城市中低收入者而言,计划经济下再分配制度的残留与路径依赖以及城市空间的结构性调整对其职住关系的影响更为显著。     

The Geography of Malnutrition

The purpose of this article is to provide an overview of an emerging theme within the subfield of nutritional geography we call the geography of malnutrition. Work relating to malnutrition is a high-priority research topic, with growing relevance to geographical concepts, but there is no overview of geographical approaches to this theme. Using keyword searches in Google Scholar and Web of Science to obtain relevant publications, we identified the major foci of work within this theme: undernutrition, diseases that cause malnutrition, the nutrition transition, and critical and feminist approaches to malnutrition. We review these foci, provide examples of prominent work, and identify areas of research concerning malnutrition that are highly spatial but have yet to be effectively studied using geographic techniques.     

Analysis of the coupled relationship between grain yields and agricultural labor changes in China

In this paper we establish a model that expresses the coupled relationship between grain yield and agricultural labor changes in China, and present a preliminary discussion of the coupled processes involved in changes in these factors at the county level. Thus, we develop two coefficients on the basis of county-level statistical data for grain yield and agricultural labor for the years 1991, 2000, and 2010, namely, the grain-labor elasticity coefficient (GLEC) and the agricultural labor-transfer effect coefficient (ALTEC). The results of this study show that during the transformation process of agricultural development in China, different kinds of coupled relationships between grain yield and agricultural labor changes co-existed at the same time. For example, between 1991 and 2010, counties characterized by three different coupled modes (i.e., increasing grain yield and decreasing agricultural labor, increasing grain yield and agricultural labor, and decreasing grain yield and agricultural labor) account for 48.85%, 29.11%, and 19.74% of the total across the study area, respectively. Interestingly, a coupled relationship between increasing grain yield and decreasing agricultural labor is mainly concentrated in the traditional farming areas of China, while a coupled relationship between increasing grain yield and agricultural labor is primarily concentrated in pastoral areas and agro-pastoral ecotones in underdeveloped western China. At the same time, a coupled relationship between decreasing grain yield and agricultural labor is concentrated in areas that have experienced a rapid development transition in agriculture, especially the developed southeastern coast of China. The results of this study also show that between 1991 and 2010, 1961 counties experienced a decline in the proportion of agricultural labor; of these, 1452 are also characterized by increasing grain yield, 72.38% of the total. This coupled relationship between grain yield and changes in the proportion of agricultural labor shows a stepped fluctuation and has continually strengthened over time. Data show that mean values for the GLEC and ALTEC increased from–0.25 and–2.93 between 1991 and 2000 to–0.16 and–1.78 between 2000 and 2010, respectively. These changes in GLEC and ALTEC illustrate that the influence of agricultural labor changes on increasing grain yields has gradually diminished. Finally, the results of this study reveal that the ‘Hu Huanyong Line’ is a significant boundary sub-dividing this coupled relationship between grain yield and changes in agricultural labor.     

RELATIONSHIP BETWEEN THE SEASONAL TRANSITION OF EAST ASIAN MONSOON CIRCULATION AND ASIAN-PACIFIC THERMAL FIELD AND POSSIBLE MECHANISMS

The NCEP/NCAR reanalysis, CMAP rainfall and Hadley Centre sea surface temperature (SST) datasets are used to investigate the relationship between the seasonal transition of East Asian monsoon and Asian-Pacific thermal contrast, together with the possible causes. Based on the 250 hPa air temperature over two selected key areas, the Asian-Pacific thermal difference (APTD) index is calculated. Results show that the APTD index is highly consistent with the Asian-Pacific Oscillation (APO) index defined by Zhao et al., in terms of different key areas in different seasons. Moreover, the time point of the seasonal transition of the Asian-Pacific thermal contrast can be well determined by the APTD index, indicative of seasonal variation in East Asian atmospheric circulation from winter to summer. The transition characteristic of the circulation can be summarized as follows. The continental cold high at lower tropospheric level moves eastward to the East China Sea and decreases rapidly in intensity, while the low-level northerlies turn to southerlies. At middle tropospheric level, the East Asia major trough is reduced and moves eastward. Furthermore, the subtropical high strengthens and appears near Philippines. The South Asia high shifts from the east of Philippines to the west of Indochina Peninsula, and the prevailing southerlies change into northerlies in upper troposphere. Meanwhile, both the westerly and easterly jets both jump to the north. The seasonal transition of atmospheric circulation is closely related to the thermal contrast, and the possible mechanism can be concluded as follows. Under the background of the APTD seasonal transition, the southerly wind appears firstly at lower troposphere, which triggers the ascending motion via changing vertical shear of meridional winds. The resultant latent heating accelerates the transition of heating pattern from winter to summer. The summer heating pattern can further promote the adjustment of circulation, which favors the formation and strengthening of the low-level southerly and upper-level northerly winds. As a result, the meridional circulation of the East Asian subtropical monsoon is established through a positive feedback between the circulation and thermal fields. Moreover, the time point of this seasonal transition has a significant positive correlation with the SST anomalies over the tropical central-eastern Pacific Ocean, providing a basis for the short-term climate prediction.