基质吸力变化引起的体积应变研究

与降雨有关的边坡表层变形位移,其根源是基质吸力降低引起的非饱和土体积应变。利用某滑坡体的原状样及其重塑样,分别在100kPa、200kPa围压作用下,采用单纯增加基质吸力的应力路径,对基质吸力引起的体积应变,进行试验测试。结果显示: (1)试样的体应变,随基质吸力的增大,单调增大,服从对数函数关系;(2)围压由100kPa增加到200kPa的试样体积模量,随基质吸力的增大,单调增大,服从幂函数关系;(3)与基质吸力有关的体积变化系数,随基质吸力的增大,单调减小,服从幂函数关系;并且当基质吸力大于200kPa以后,随基质吸力增大,体积变化系数接近于常数,约为0.0059左右。在此基础上,本文针对这种由单纯基质吸力变化引起的非饱和土体积应变规律及机理,进行了探讨。     

星际分子正—NH3和He的超精细跃迁碰撞截面和速率系数的理论计算

本文采用Ｒ矩阵传播方法，通过求解ＣＳ近似下的耦合方程，计算了星际分子云条件下正－ＮＨ３分子和Ｈｅ碰撞的超精细跃迁碰撞截面和速率系数，为研究天体的信息提供需用的基础数据。     

高质量发展目标下黄河流域城市居民生活质量的时空格局及障碍因子

提高居民生活质量是实现黄河流域高质量发展的重要目标和具体体现。从居民生活、基础设施、公共服务、生态环境4个方面构建城市居民生活质量评价指标体系,测度2004―2018年黄河流域城市居民生活质量水平,利用核密度估计、ESDA、Dagum基尼系数等方法进行居民生活质量时空格局分析及空间差异测度,并运用障碍因子诊断模型分析影响居民生活质量水平的障碍因子,得出如下结论：① 2004―2018年黄河流域城市居民生活质量高水平区域从下游城市逐渐转移到中上游城市;② 黄河流域城市居民生活质量高?高集聚区主要是内蒙古自治区及相邻区域的城市,低?低集聚区主要是河南省、山东省以及山西省的部分城市;③ 黄河流域城市居民生活质量水平的空间差异从上中下游尺度看主要是区域间净值差异贡献,从左右岸尺度看主要是区域内部差异贡献;④ 黄河流域城市居民生活质量水平的障碍因子主要是人均水资源量、移动电话年末用户数、每万人公园绿地面积、教育支出占财政支出比重、每万人拥有的道路面积与人均可支配收入等,因此在未来的高质量发展中要注重生态环境保护,特别是合理利用水资源,完善城市基础设施与提升公共服务水平。     

日食一厄尔尼诺系数及其应用

通过比较本世纪以来的厄尔尼诺年和日食资料,发现了高纬（包括极区）日食与厄尔尼诺年之间存在着一定的因果关系。通过定义年日食一厄尔厄诺系数Ｒ１和累积日食一厄尔尼诺系数Ｒ２后,可以发现当某年的Ｒ１≥９或Ｒ２≥１０．５级时,则当年必为厄尔尼诺年,反之亦然．本文还提出了日食诱发厄尔尼诺现象的热一动力机制,并预测２０００年将是一个强厄尔尼诺年．     

弹性波在离散介质中传播的贝塞尔函数解Ⅰ

对弹性波在离散介质中的传播问题进行了新的探索研究,本文用贝塞尔函数的线性组合构造了弹性波在非均匀离散介质中传播解。借助于贝塞尔函数的良好性质,其研究结果可用于地震波传播问题的研究。     

地球化学屏障中添加剂的选择研究

设置一系列加有不同添加剂的地球化学屏障,利用静态平衡实验,并与未加添加剂的空白实验对比,分析其对Ｕ,Ｃｏ,Ｓｒ的阻滞性能;并通过计算Ｋｄ值,对屏障的综合阻滞性能进行分析,选出恰当的添加剂。结果表明：ＮａＳ２作碱性－还原添加剂,利于核素的化学沉淀反应,而且Ｋｄ值显著地增加,屏障对Ｕ,Ｃｏ,Ｓｒ的阻滞性能最好。     

Effect of riparian land use on environmental conditions and riparian vegetation in the east African highland streams

Agricultural land use is expanding and at an accelerated rate. In Ethiopia, most of this expansion has occurred in highland areas and involve deforestation of natural riparian vegetation. However, the impacts on the water quality of streams are poorly understood, especially with regard to the influence of land use patterns on highland streams. In this study, we investigated the effects of land use modifications on the water quality and riparian condition of highland streams and examined whether the preservation of riparian vegetation would help mitigate the negative impacts of intensive agriculture practices. Our results show significant differences in the water quality of streams with different land use. Several parameters commonly used to indicate water quality, such as the concentrations of orthophosphate, turbidity, and suspended solids were significantly higher in the agricultural streams than in the forest stream. The preservation of riparian vegetation in the surrounding highland streams was associated with overall better riparian condition, floristic quality, and water quality such as lower turbidity, total suspended solids, orthophosphate, and higher dissolved oxygen. We conclude, that increases in vegetation cover improved riparian condition and water quality relative to other non-vegetated areas. Therefore, we strongly recommend the preservation of riparian vegetation in tropical highland streams surrounded by intensive agriculture. More studies on the effects of best management practices in areas dominated by agriculture can greatly improve our capacity to prevent the degradation of water quality in tropical highland streams of Africa.     

Regional disparities in China's marine economy

Understanding the performance of each coastal area as it develops is the primary task of policy-makers in a marine economy; however, quantitative regional differences in China's marine economy have not been empirically examined. This paper offers a methodological contribution by applying a series of techniques, including the variation coefficient, Gini coefficient, and Theil index decomposition, to illustrate the relative differences among coastal areas. Additionally, the coastal areas of China were divided into two categories to reveal the provincial differences and regional disparities in China's marine economy. The results show that although the numerical economic differences in Gross Ocean Product (GOP) among coastal areas have increased significantly during the 21st century, the gaps among coastal regions have gradually decreased. In addition, China's marine economy presents three levels of regional development (developed, medium-developed, and developing). The results of the Theil index decomposition show that the overall difference in China's marine economy is derived mainly from differences within the three macro marine economic regions; these differences account for more than 95% of the overall difference. Furthermore, the underlying reasons for and driving mechanism of regional differences in China's marine economy can be illuminated in terms of differences in natural resource endowments and geographic locations; industrial agglomeration and diffusion; changes in regional development policy; and foreign investment. These findings offer basic data support and policy recommendations for marine economy management at the national and regional levels.     

基于GIS和洛伦兹曲线的辽宁省海岛空间分布特征探析

为合理开发利用和保护辽宁海岛资源,优化海岛产业结构和布局,以辽宁纳入中国海域海岛标准名录的633个海岛为研究对象,在对其地理坐标、陆域面积等基础数据进行数理统计的基础上,通过GIS的空间分析和绘制洛伦兹曲线、计算基尼系数,对辽宁海岛的空间分布特征进行了分析与研究。结果表明:辽宁海岛属集聚型分布类型,在空间上呈组团与带状分布,按聚集程度来看,形成了黄海北部长山群岛集聚区、辽东半岛南部浅海集聚带与辽东湾西部浅海集聚带三个区域;约60%的海岛处在离大陆岸线直线距离在10 km以内的范围内,近陆程度高;海岛陆域面积分布不均衡,基尼系数达0.9。     

A New Indicator for Evaluating Spatial Concentration Based on Local Spatial Decompositions of the Gini Coefficient

Measuring spatial concentration is a key problem when studying geographical phenomena in many areas, including economic activities, atmospheric pollution, animal habitats, and so on. Two important aspects related to the measurement of spatial concentration are data variability and spatial autocorrelation. Rather than combining different indicators for each of these characteristics, this article proposes a new indicator based on the reconstruction of local spatial decompositions of the classical Gini coefficient. A Monte Carlo simulation study is conducted to evaluate the properties of the new indicator, and the results demonstrate that the indicator is highly linearly correlated with both spatial autocorrelation and data dispersion. Moreover, its elasticities to either the spatial autocorrelation or data dispersion are extremely close to 1 under various experimental circumstances. These findings indicate that the new indicator can reflect not only the absolute level of but also the change in spatial concentration effectively. Applying the indicator to the per capita gross domestic product data set for the middle reach of the Yangtze River, we also demonstrate that the new indicator and its local components are easy to implement and are useful in local spatial association analyses.