中国地级以上城市土地经济密度差异的时空演化分析

以中国336个地级以上城市为研究对象,利用核密度估计和探索性空间数据分析方法,对2001~2014年中国地级以上城市土地经济密度差异的时空格局演化及影响因素进行分析和探讨。结果表明：① 中国地级以上城市土地经济密度的总体水平不断提高,平均值从2001年的4.769亿元/km²增加至2014年的15.375亿元/km²,但地区差距逐渐扩大;② 中国地级以上城市土地经济密度表现出显著的全局空间正相关性,相邻地市相互影响,呈现出“高–高”或“低–低”的空间集聚态势,且从LISA集聚图来看,城市土地经济密度通过空间聚类可以划分为“高水平均质型地域”、“塌陷型地域”、“极化型地域”和“低水平均质型地域”4种类型,不同地域类型的空间分布范围和稳定性等都存在差异;③ 中国地级以上城市土地经济密度冷、热点区域的空间分布具有相对稳定性,总体上表现出“东热西冷”的分布格局,热点区主要分布在东部的京津冀地区、长江三角洲地区和珠江三角洲地区等,广大中、西部地区则大多处于低值簇,属于城市土地经济密度的冷点区或次冷点区;④ 自然条件状况决定城市土地的供给能力和开发潜力,是导致中国地级以上城市土地经济密度差异的基础性因素,区域经济发展水平、经济发展政策、土地利用管理政策也会对城市土地经济密度差异造成一定程度的影响。     

天津市人口郊区化特征及其动力因素

基于"五普""六普"街道、乡镇数据,运用GIS及人口密度模型分析天津市人口郊区化的时空演变特征,并根据2005—2015年各区县数据,剖析其动力因素。结果表明:天津市中心区繁荣与郊区化并存,属于市中心发展型郊区化;天津已形成多中心格局,副中心人口聚集效应日益显著;人口郊区化伴随就业岗位的郊区化,但人口和产业存在空间分异现象;土地、住房制度改革及郊区经济发展加快了人口郊区化进程,公共服务的集中延缓了人口向郊区迁移,滨海新区发展、交通与通信网络的现代化为人口向郊区的迁移创造了条件。提出进一步推进城市组团式发展、推动产业结构与布局调整及以公共服务引导人口流动等措施实现中心城区人口向郊区有序分流。     

根据泥石流沉积物计算泥石流容重的方法研究

泥石流的容重是泥石流的最重要的参数之一,用简单易行的方法获得泥石流的容重因泥石流灾害的评估和泥石流的防治的需要显得日益重要。分析了泥石流的组成颗粒中3个分别代表粗颗粒,细颗粒和粘粒颗粒的颗粒粒径,即2 mm、0.05 mm和0.005 mm,及它们的百分含量与泥石流容重的关系。在对泥石流的组成颗粒的研究中发现泥石流中的粗颗粒,细颗粒和粘粒颗粒的百分含量与泥石流容重都有一定的关系,但因地区的差异这种关系不是唯一的。粘性泥石流中的粘粒含量与物源区的粘粒含量相当,稀性泥石流的粘粒含量远大于物源区的粘粒含量。用粗颗粒和细颗粒百分含量计算的泥石流的容重与泥石流观测样和沉积样对比有较好的一致性。根据泥石流沉积物计算的泥石流容重应服从根据沉积物的特征判断的泥石流类型和框定的泥石流容重范围。     

霸王(Sarcozygium xanthoxylon)灌木年轮记录的1902—2015年阿拉善荒漠中部气候干湿变化

基于阿拉善荒漠中部的4个霸王(Sarcozygium xanthoxylon)样点建立的区域轮宽年表,探讨了霸王径向生长对气候变化的响应及阿拉善荒漠中部区域1902—2015年的干湿变化。结果表明:霸王的径向生长主要受到生长季及前期降水(当年4—7月和前一年10—12月降水)影响。年代际尺度上,区域年表共记录了1920s初—1930s初、1940s初以及1970s末—1980s末3个干旱时段和1900s末—1920s初、1930s、1960s中—1970s中以及1980s末—至今4个湿润时段。区域气候干湿变化以2~8、11、16~32a周期最为明显,在1970s末发生了周期性震荡。本研究所揭示的区域百余年来气候干湿变化波动状况,可为区域环境演变和荒漠化防治提供气候背景代用资料和决策依据。     

杭州商业街道空间布局形态关键要素对周边风环境的影响

利用基于计算流体力学（CFD）理论的数值模拟软件,在不影响街道连续性面貌的前提下,通过控制变量法分别改变街道贴线率、街道界面密度、街道高宽比3个关键要素的数值来观察街道风环境的变化情况。结论主要有： 街道内的风速大小随着街道贴线率的增大呈抛物线趋势变化,先增大后减小,在街道贴线率接近70%时,城市街道内风速达到最大; 随着界面密度的不断减小,城市街道内各个测点的风速变化的幅度越来越大,这样会让在其中行走的行人感受到强烈的风速变化,舒适度大为下降; 城市街道内的平均风速和街道高宽比成反比例关系。     

黄河小北干流汛期和非汛期冲淤过程模拟

滞后性是河流系统自动调整的重要特征之一。根据河道演变的滞后响应机制,在考虑上游来水来沙和下游侵蚀基准面（潼关高程）共同影响的基础上,建立了能够模拟河道汛期和非汛期冲淤过程的滞后响应模型,并采用黄河小北干流1960-2015年的冲淤资料进行参数率定（1960-2001年）和模型验证（2002-2015年）。结果表明该模型能较好地模拟小北干流汛期和非汛期的冲淤过程。汛期和非汛期累计冲淤量的模拟效果优于单个冲淤量;累计冲淤量和单个冲淤量的模拟效果汛期要优于非汛期。三门峡水库修建后,1960-2015年间小北干流汛期和非汛期的冲淤过程表现出时段差异。根据建立的滞后响应模型,本文分析了来水来沙和潼关高程对小北干流汛期和非汛期各个特征时段冲淤的贡献率,汛期和非汛期的第一时段（1960-1970年,1960-1968年）主要受到潼关高程的影响,但是后续时段主要受到来水来沙的影响。     

Exploring the relationship between density and completeness of urban building data in OpenStreetMap for quality estimation

OpenStreetMap (OSM) is a free spatial data source based on crowd sourced data. Although the OSM data have a range of applications, such as generating 3D models, and routing and navigation, quality issues are still significant concerns when using the data. Several studies have undertaken quality assessments by comparing OSM data with reference data. However, reference data are not always available due to high costs or licensing restrictions, and very few studies have quantitatively estimated the quality of OSM data under conditions where the corresponding reference data are not available. This study proposed the use of a building density (or building coverage ratio) indicator as a proxy, and designed a series of experiments involving different study areas to quantitatively explore the relationship between building density and building completeness for OSM data in urban areas. The residuals (estimated building completeness and reference building completeness) were also analyzed. Two main results were found from the experiments. (1) There was an approximate linear relationship between building density and building completeness in the OSM data. More precisely, the building completeness of OSM data was approximately 3.4–4 times the building density of OSM data. (2) Approximately 70–80% of the absolute residuals were smaller than 10%, and 80–90% of them were smaller than 20%. This shows that, in most cases, estimated building completeness was close to the corresponding reference building completeness. Therefore, we concluded that the building density indicator is a potential proxy for the quantitative completeness estimation of OSM building data in urban areas. The limitations of using this indicator were also addressed.     

青藏高原地表位涡密度强迫对2008年1月中国南方降水过程的影响Ⅰ:资料分析

位涡外部源汇是驱动大气环流的原动力。文中详细介绍了地表位涡制造和位涡密度强迫的联系,讨论了不同坐标系中位涡密度方程的特点及其在应用中应当注意的问题。还以2008年初南方低温雨雪冰冻灾害为例,探讨了青藏高原地表位涡密度强迫及东传对下游地区对流性天气发生的影响,拟由此揭示青藏高原位涡密度强迫激发中国东部激烈天气发生的一种新机制。伴随着青藏高原地表正位涡密度的东传,下游地区对流层中高层出现纬向正绝对涡度平流,气旋性环流增强,从而促使低空南风发展,为南方地区提供充沛的水汽条件。另外,南风的增强有利于低空经向负绝对涡度平流的加强,从而使南方地区高、低空形成绝对涡度平流随高度增大的大尺度环流背景,有利于上升运动的发展。上升运动的加强又促进低空南风气流的增强,使高、低空绝对涡度平流随高度增大的环流背景进一步增强,最终导致降水的产生。      

THE EFFECTS OF STATION NETWORK DENSITY ON STATISTICAL ANALYSES OF TROPICAL CYCLONE PRECIPITATION

In this paper, 1416 conventional ground-based meteorological observation stations on the mainland of China were subdivided into groups of differing spatial density. Data from each subgroup were then used to analyze variations in the tropical cyclone (TC) precipitation statistics derived from each subgroup across the mainland of China (excluding Taiwan, Hong Kong, and Macao), as well as in two regions (east China and south China) and three provinces (Guangdong, Hainan, and Jiangxi) between 1981 and 2010. The results showed that for the mainland of China, total precipitation, mean annual precipitation, mean daily precipitation, and its spatial distribution were the same regardless of the spatial density of the stations. However, some minor differences were evident with respect to precipitation extremes and their spatial distribution. Overall, there were no significant variations in the TC precipitation statistics calculated from different station density schemes for the mainland of China. The regional and provincial results showed no significant differences in mean daily precipitation, but this was not the case for the maximum daily precipitation and torrential rain frequency. The maximum daily precipitation calculated from the lower-density station data was slightly less than that based on the higher-density station schemes, and this effect should be taken into consideration when interpreting regional climate statistics. The impact of station density on TC precipitation characteristics was more obvious for Hainan than for Guangdong or Jiangxi provinces. In addition, the effects were greater for south China (including Guangxi Zhuang Autonomous region, Guangdong, and Hainan provinces) than east China (including Shandong, Jiangsu, Zhejiang, Shanghai, Fujian, Anhui, and Jiangxi provinces). Furthermore, the analysis proved that the statistical climatic characteristics began to change significantly when the station spacing was between 40 and 50 km, which are close to the mean spacing for all stations across the mainland of China. Moreover, TC areal precipitation parameters, including mean total areal precipitation and mean daily areal precipitation, also began to change significantly when the spacing was between 40 and 50 km, and were completely different when it was between 100 and 200 km.     

吉林省最高最低气温非对称变化时空演变特征

利用吉林省45个气象站1970-2014年逐日的最高、最低气温资料,分析吉林省最高、最低气温不对称变化在年、季尺度上的时空演变特征。采用经验模态分解法(EMD)分解年、季最高、最低气温序列,分析变化趋势。结果表明:近45年年平均最高、最低气温均呈增加趋势,且最低气温增幅是最高气温的两倍。四季的最高、最低气温变化形式与年变化一致;不同地区之间最高气温的增幅差异不大,最低气温增幅存在一定区别,东部最低气温增幅小于中、西部。相对稳定的增温区出现在西部和中部,不同季节的增温幅度不同,春、夏要强于秋、冬。经验模态分解(EMD)结果显示吉林省年平均最高、最低气温均为增加趋势,而春、冬季中最高气温趋势分量的倾向率与原始序列不同,为负值。夏、秋季中最高气温及四季中最低气温趋势分量序列与原始数据序列的倾向率一致,均为正值但大小存在差异。