An investigation of analysis of variance as a tool for exploring regional differences in strong ground motions

The statistical technique known as analysis of variance is applied to a large set of European strong-motion data to investigate whether strong ground motions show a regional dependence. This question is important when selecting strong-motion records for the derivation of ground motion prediction equations and also when choosing strong-motion records from one geographical region for design purposes in another. Five regions with much strong-motion data (the Caucasus region, central Italy, Friuli, Greece and south Iceland) are investigated here. For the magnitude and distance range where there are overlapping data from the five areas (2.50 M_s 5.50, 0 d 35 km) and consequently analysis of variance can be performed, there is little evidence for a regional dependence of ground motions. There is a lack of data from moderate and large magnitude earthquakes (M_s > 5.5) so analysis of variance cannot be performed there. Since there is uncertainty regarding scaling ground motions from small to large magnitudes whether ground motions from large earthquakes are significantly different in different parts of Europe is not known. Analysis of variance has the ability to complement other techniques for the assessment of regional dependence of ground motions.     

中国原油进口风险度以及对国内不同区域的影响分析

1993年中国开始从原油输出国变为原油输入国,到2010年,中国的原油进口依赖度高达53%。原油进口来源国的社会经济稳定性、原油运输线路的安全性影响到中国原油进口的安全性。本文根据ITIRI的综合国际贸易投资风险指数和原油运输线路的安全性,设计了中国从其主要原油进口来源国进口原油的风险指数。然后分析了中国各省级行政区对原油进口消费的依赖度,中国六个大区石化工业和八个石油化工基地对进口原油的依赖程度。从而分析了它们对进口原油风险的敏感度。本研究的结论是:第一,中国重要的原油进口来源国比较集中,且集中在社会经济不十分稳定的国家。第二,原油进口风险对沿海地区经济的影响远高于对内陆地区的影响。第三,沪宁杭、琼粤闽和长江中游石化基地是受原油进口风险影响最大的三个基地。根据这些结论,本文提出两方面建议:第一,建议中国原油进口来源与运输方式尽量多元化,以规避风险。第二,中国原油战略储备基地应考虑对原油进口风险敏感度大的地区。     

不同林龄抑螺防病林林分内钉螺种群分布特点的研究——以安庆市大观区沿江滩地为例

对安庆沿江滩地杨树林地、江滩草地、芦苇丛等5个植被类型区的钉螺分布状况进行了调查,研究了不同植被类型区钉螺的形态指标和阳性率。结果表明:①成熟杨树林地、中龄杨树林地均无钉螺分布;杨树幼林地、江滩草地、芦苇丛螺口密度分别为4只/0.11m2、5只/0.11m2、7只/0.11m2。②杨树幼林地、江滩草地、芦苇丛所获钉螺样本的阴阳性检测,没有被血吸虫感染,均为阴性。③江滩营造抑螺防病林是改变钉螺孳生环境及人工控制钉螺种群密度的最有效途径之一。     

京津冀都市区经济分布演化及作用机制模拟研究

利用kernel密度估计方法考察了京津冀都市区1995-2007年经济分布演化过程,在此基础上,引入经济增长分布模拟模型进一步模拟研究了其经济增长驱动力的作用效应。研究发现:①京津冀都市区经济增长分布形态经历了"双峰状"→"单峰状"→"双峰状"的演化过程。②资本深化、技术效率、技术进步和空间依赖效应对京津冀都市区经济增长起显著作用。③资本深化和技术效率对京津冀都市区经济增长分布演化起重要作用,而技术进步、空间外溢效应和误差分布效应则没有显著的作用。④资本深化分布的变化和技术效率综合作用效应的变化是影响京津冀都市区经济分布演化的驱动力,并通过资本深化的分布效应和技术效率的综合作用效应这两个渠道对其经济分布演化产生影响。⑤对京津冀都市区经济增长起作用的因素不一定能够影响到其经济分布的演化,基于分解技术的经济增长分布模拟模型,并利用理论分布和实际分布差异性的统计检验可以识别真正影响其经济分布演化的因素及其作用渠道。     

2020年新疆于田MS6.4地震前地磁谐波振幅比变化特征分析

以2020年6月26日于田M_S6.4地震为例, 采用地磁谐波振幅比法, 选用距震中370 km和360 km范围内的且末台、 狮泉河台所记录到的秒值连续波形数据, 对震前地磁异常进行了提取和回溯性分析, 发现地磁谐波振幅比反映了观测点深部电阻率变化, 2020年于田M_S6.4地震前且末台和狮泉河台地磁谐波振幅比出现了较明显的异常现象。 异常特征有: ① 地磁谐波振幅比Y_ZHx和Y_ZHy主要表现为“下降—转折—恢复”的形态, 地震发生在下降型变化恢复之后上升阶段; ② 震前约2年起, 且末台和狮泉河台谐波振幅比表现长短周期变化不同步或NS向与EW向变化不同步的现象; ③ 且末台Y_ZHx(NS)和狮泉河台Y_ZHy(EW)谐波振幅比异常变化中的转折上升形态具有自较长周期向较短周期的迁移现象; ④ 狮泉河台谐波振幅比趋势性异常起始时间早于且末台, 持续时间平均2年左右, 最大异常幅度达到0.04; ⑤ 且末台Y_ZHx(NS)和狮泉河台Y_ZHy(EW)异常相比对应其他分量更为显著, 这也许震中和台站所在位置有关系; ⑥ 地震前和田大地电场(距震中约265 km)岩体裂隙优势方位角(α)也显示异常变化, 可见该地震前多地球物理探测参量的异常响应, 呈现多地球物理量耦合, 增加了异常可信度。     

Investigation of local time dependence of Mercury's sodium exosphere based on a numerical simulation

Mercury has a surface-bounded exosphere (SBE) similar to that of the Moon. One of the atmospheric species, sodium, was found by ground-based observations to be the most prominent component. Mercury's sodium SBE is known to be non-uniform with respect to local time (LT) in low-latitude regions: the sodium column density in the dawn-side region is larger than that in the dusk-side region, and the sodium abundance is the largest in the morning-noon region. To reveal the production processes for the exosphere near Mercury's surface, the LT dependence of the exosphere was investigated through a numerical simulation. Three data sets of sodium column densities observed for the dawn-side hemisphere, observed by Sprague et al. [1997. Distribution and abundance of sodium in Mercury's atmosphere, 1985-1988. Icarus 12, 506-527], were compared with results simulated by a 3D Monte Carlo method, and the source rates and density of sodium of the planetary surface were estimated. In the simulation, the photon-stimulated desorption (PSD) and thermal desorption (TD) processes were assumed as the release mechanisms. The sodium source rates for the three data sets, at respective heliocentric distances of about 0.33, 0.42, and 0.44 AU, were estimated as 1-4×10⁸ Na/cm²/s with weak LT dependence. In contrast, the expected sodium surface density showed clear dependence on LT and the heliocentric distance. The sodium surface density decreases from early morning to noon by a few orders, and, particularly for large heliocentric distances, the surface is in a condition of sodium excess and depletion with respect to the surface sodium density assumed by Killen et al. [2004. Source rates and ion recycling rates for Na and K in Mercury's atmosphere. Icarus 171, 1-19] in the early morning and morning-noon regions, respectively. This study implies that the decrease in sodium surface density from the early morning to noon regions might produce the characteristic LT dependence in the low-latitude dawn-side region.     

中国省际人口迁移短期预测分析

人口迁移是一个时空路径依赖过程,同时受迁移存量和周边迁移状况影响。当前人口迁移预测大多建立在时间序列模型之上,重点考虑迁移流在时间维度上的联系,忽视了其中的时空关联。该文将特征向量时空滤波方法与普通泊松模型相结合,考虑迁移流中可能存在的时空滞后和同期两种结构,对1985-2015年不同时段的中国省际人口迁移流数据进行建模和估计,并利用拟合程度较优的模型预测2015-2025年省际人口迁移的发展趋势。结果表明:1)特征向量时空滞后和同期滤波泊松模型均能较好地模拟研究时段省际人口迁移过程,自1985年以来我国省际人口迁移流不仅受迁出地和迁入地经济、社会等因素影响,也与过去迁移存量及周边迁移流密切相关;2)区域人口规模和GDP对迁移流的“推—拉”作用符合预期,地区人口规模较高和经济发展水平较低会促进人口外迁,反之则有利于吸引外来人口;3)与特征向量时空滞后滤波泊松模型相比,时空同期模型更便于捕捉省际人口迁移过程中的时空路径依赖特性,意味着当前人口迁移流的发展更易受到同时期周边迁移流的影响,表现出明显的羊群效应;4)预计2015-2025年我国省际迁移总量持续增加,呈现更集聚的空间模式,高迁入与高迁出区域在空间上相连,形成一条南北贯通的“高密度迁移地带”。将特征向量时空滤波模型拓展到人口迁移这一空间相互作用领域,可为当前构建更加完善的要素市场化配置体制机制等提供科学参考。     

旅游地饮食符号经济：地方符号营造与路径依赖

饮食符号是旅游目的地符号系统的重要组成部分,以地方特色饮食为基础的旅游餐饮也是旅游地的重要经济活动。文章以阳朔啤酒鱼为例,分析旅游地饮食符号经济的特点与形成机制。研究发现,1）旅游地饮食符号的形成既是对地方特色的营销与建构,也是特定饮食产品生产与消费集聚的路径依赖结果。2）从饮食生产的角度,就地取材、利润高、制作工艺简单等特点使啤酒鱼餐饮能够大规模、低成本地发展;从饮食消费的角度,啤酒鱼既具有地方特色又能够被大众口味所接受,同时满足游客的符号性和支持性的餐饮体验。3）消费性服务业的集聚能够营造良好的氛围并产生累积吸引力,使得啤酒鱼的营销成本更低、销量更高,从而形成正反馈机制。     

Spatially filtered ridge regression (SFRR): A regression framework to understanding impacts of land cover patterns on urban climate

Understanding the impacts of land cover pattern on the heat island effect is essential for sustainable urban development. Conventional model fitting methods have restricted ability to produce accurate estimates of the land cover‐temperature association due to the lack of procedures to address two important issues: spatial dependence in proximal spatial units and high correlations among predictor variables. In this study, we seek to develop an effective framework called spatially filtered ridge regression (SFRR) to estimate the variations in the quantity and distribution of land surface temperature (LST) in response to various land cover patterns. The SFRR effectively integrates spatial autoregressive models and ridge regression, and it achieves reliable parameter estimates with substantially reduced mean square errors. We show this by comparing the performance of the SFRR to other widely adopted models using Monte Carlo simulation followed by an empirical study over central Phoenix. Results highlight the great potential of the SFRR in producing accurate statistical estimates, providing a positive step toward informed and unbiased decision‐making across a wide variety of disciplines. (Code and data to reproduce the results in the case study are available at: https://github.com/cfan13/SFRRTGIS.git .)     

Comparing the Validity and Reliability of Place Attachment Across Cultures

Researchers often measure human–place bonds via place attachment scales across a variety of settings. However, scale use does not always include an evaluation of the scales’ psychometric properties, especially in multisite studies. Failure to consider a place attachment scale’s measurement properties makes both validity and reliability assumptions and may lead to improper data interpretation. Hence, this investigation assessed a place attachment scale across three sites via data collected on site in natural resource protected areas in Colorado, Minnesota, and Germany. A series of confirmatory factor analyses assessed the hypothesized two-dimensional (i.e., place identity and place dependence) model, Cronbach’s alphas calculated a measure of internal consistency, and a multigroup procedure cross-validated the scale. Some items did not load on the hypothesized dimension and the pattern of factor loadings was not equivalent across settings, suggesting assessment of place attachment scales may be necessary when used in new contexts.