地中电偶极源极低频电磁场的分布与传播特征

利用层状大地中偶极源响应的正演算法, 计算地中电偶极源激发的极低频地震电磁场并分析其在地球环境下的传播特征.设计了多个水平层状地球模型, 分别模拟和展示了深埋地中的电偶极源的响应和空间分布特征.重点分析了含地壳波导+LAI波导模型的高阻大地中, 倾斜电偶极源激励响应随观测点的偏移距和垂直位置、激励源深度、地壳波导结构和参数变化时各场量响应的幅频特征.研究表明, 用倾斜电偶极源模拟和分析高阻大地中孕震电磁辐射的响应及在大地电磁系统中的传播特性是可行的; 模拟的高阻大地中的电磁辐射在地壳波导和LAI波导中均表现有慢衰减或幅值增强特性, 但两个波导效应具有不同的频率选择性; 高阻大地中的电磁辐射在波导的高阻介质中具有幅值强、衰减慢的特点.建议在高阻地层出露的地表、井中或海底的高阻岩层中以及大气层中布设测站.

     

城市边缘带识别研究进展与展望

城市边缘带作为城市与乡村相交接的特殊地带,是城市化进程中最为敏感的区域;城市边缘带的定量识别是研究边缘带社会结构、景观格局和发展梯度的基础工作,也是城市化生态环境效应定量分析的前提条件。但边缘带识别的理论与方法未受到足够重视,缺乏系统梳理。本文在对比分析城市边缘带及相关概念的基础上,明确了城市边缘带识别的实质与内涵;提出了基于指示要素—空间单元—判别模型的城市边缘带识别概念框架,并从上述三方面系统回顾了国内外城市边缘带识别研究进展;对未来研究进行了展望,认为城乡作用机理探析、多要素综合识别、非参数化模型融合、多尺度转换以及长时间序列动态监测等将是下一步重点研究方向。     

2-D or 3-D interpretation of conductivity anomalies: example of the Rhine-Graben conductivity anomaly

Summary. Evidence of a conductivity anomaly in the Rhine-Graben was first given about 15 years ago and consequently led to the definition of various models of induction in the region for periods ranging from a few minutes to a few hours. These models reflect two antagonistic ways of explaining the observed anomalous variations of the magnetic field: direct induction in a two-dimensional (2-D) structure or static distortion of telluric currents by the resistive crystalline Vosges (France) and Schwarzwalde (Germany) massifs. We discuss the two approaches using a simple formalism. In particular, we show that the self-induction related to the anomalous currents flowing in the Rhine-Graben is negligible for periods larger than 1000 s, and that, even though the static distortion of telluric currents does account for the observed anomaly, 2-D models can explain some of its features. We also show how the channelled currents are induced in the large sedimentary basins surrounding the area under study.
An experimental verification of this result is given.     

手机信令数据支撑下广州市过剩通勤及其空间分异格局

利用手机信令数据构建居委会尺度下的职住联系数据库,分析广州过剩通勤及其空间分异格局。研究发现,广州市过剩通勤为76.01%,与国内和西方国家城市相比处于较高水平,说明广州市职住空间组织效率偏低。过剩通勤的空间分异特征主要表现为：功能相对单一的郊区大型工业或房地产集聚区过剩通勤率偏高;传统市中心虽然就业机会集中,但因为高居住成本也出现较高的过剩通勤率;近郊区的特定功能区域,如大学城、偏农业发展型城郊村等区域出现较低的过剩通勤率;快速轨道交通（地铁）建设因降低了居民对通勤距离的敏感度而导致过剩通勤水平的提升,高过剩通勤率空间分布与地铁沿线和地铁站点分布存在一定的空间一致性。提升大城市的职住空间组织效率除需重点考虑提升区域职住空间平衡外,优化城市功能结构、降低住房成本区域差异等也需予以重点考虑。     

Computing the Light Periods of Blazars with the Periodogram Spectral Analysis Method

The periodogram spectral analysis method applicable to equallyspaced time series is discussed, and the method is tested first with a simulated data series. It is confirmed that this method is effective for noisy series. Then, applying this method to the analysis of the light periods of the quasars 3C 279 and 3C 345 as well as the BL Lac objects OJ 287 and ON 231, we obtain their light periods to be 7.14 yr, 10.00 yr, 11.76 yr and 6.80 yr, respectively. These results obtained by periodogram spectral analysis are consistent with those obtained by the Jurkevich method in the literature. We have analyzed the effects of different window functions, and commented on their correct selection in practical applications.     

城市空间框架数据研究

该文基于地理空间概念和地理信息数字化表达与共享的特点,探讨了框架数据的作用、确定原则,推导出城市空间框架数据体系,即建立城市直接空间参照体系和间接空间参照体系。后者中,基于地块的多尺度无缝不规则网格是整合城市社会经济数据的关键,也是当前城市空间数据基础设施框架数据体系建设中的薄弱环节。     

Incorporating Spatial Dependence in Predictive Vegetation Models: Residual Interpolation Methods*

Predictive vegetation modeling can be used statistically to relate the distribution of vegetation across a landscape as a function of important environmental variables. Often these models are developed without considering the spatial pattern that is inherent in biogeographical data, resulting from either biotic processes or missing or misspecified environmental variables. Including spatial dependence explicitly in a predictive model can be an efficient way to improve model accuracy with the available data. In this study, model residuals were interpolated and added to model predictions, and the resulting prediction accuracies were assessed. Adding kriged residuals improved model accuracy more often than adding simulated residuals, although some alliances showed no improvement or worse accuracy when residuals were added. In general, the prediction accuracies that were not increased by adding kriged residuals were either rare in the sample or had high nonspatial model accuracy. Regression interpolation methods can be an important addition to current tools used in predictive vegetation models as they allow observations that are predicted well by environmental variables to be left alone, while adjusting over‐ and underpredicted observations based on local factors.     

多源数据融合的城市体检评估

融合遥感影像、社会开放大数据、统计资料等多源数据,以长沙市为例,围绕生态宜居、健康舒适、安全韧性、交通便捷、风貌特色、整洁有序、多元包容、创新活力等8个方面构建城市体检指标体系,运用归一法和层次分析法对城市自然本底和运行体征展开计算评估,结果发现：1）长沙市人居环境整体良好,城市生态宜居和整洁有序度较高,交通便捷和安全韧性建设亟需加强,风貌特色、健康舒适、创新活力、多元包容等仍有改善空间。2）各区县专题发展水平不均,在保留区域功能特色的基础上,应该着重解决发展的短板。3）城市中心城区人口密度、空气质量优良天数、万车死亡率等指标达到最高水平,但在便民服务设施完整覆盖度、住宅建筑更新和开发、群体包容等方面与城市发展需求还有一定差距。根据多源数据城市体检结果可知,长沙市未来需要以问题和需求为导向,精准治理“城市病”,努力提高城市居民生活满意度、幸福感和归属感。     

基于兴趣点（POI）大数据的东北城市空间结构分析

以东北三省36个城市为研究区,利用400余万条兴趣点行业分类大数据,采用核密度估计、标准差椭圆、区位熵等方法分析城市空间结构及其行业构成机制。研究发现,东北城市要素显著集聚,城市内部空间结构呈现集中团块型、分散组合型、线型、放射型特征以及多元复合类型;第二产业和房地产业呈现郊区化特征,各行业发展方向与东北大区域的经济轴线一致,多数行业尚未形成专业化功能区;第二产业与房地产业的离心发展对集中团块型城市的塑造作用不强,但对分散组合型城市空间结构的贡献较大。线型城市通常兼具多中心特征,放射型城市各行业仍偏向于向心聚集。