2017年8月8日九寨沟MS7.0地震前成都台地磁谐波振幅比异常分析

2017年8月8日四川省九寨沟县发生M_S7.0地震,成都地震基准台距此次地震震中约255km,震前该台地磁谐波振幅比出现趋势性异常。对成都台GM4磁通门磁力仪秒数据进行谐波振幅比计算,结果显示,谐波振幅比在九寨沟M_S7.0地震前表现出下降—转折—恢复上升的异常变化形态,地震发生在异常恢复期,同时,异常表现出由长周期向短周期迁移、SN向与EW向变化不同步的特征,芦山M_S7.0地震前成都台地磁谐波振幅比亦呈现了相似的异常变化特征。     

Data‐Driven Approach for Analyzing Hydrogeology and Groundwater Quality Across Multiple Scales

Recent trends of assimilating water well records into statewide databases provide a new opportunity for evaluating spatial dynamics of groundwater quality and quantity. However, these datasets are scarcely rigorously analyzed to address larger scientific problems because they are of lower quality and massive. We develop an approach for utilizing well databases to analyze physical and geochemical aspects of groundwater systems, and apply it to a multiscale investigation of the sources and dynamics of chloride (Cl^?) in the near‐surface groundwater of the Lower Peninsula of Michigan. Nearly 500,000 static water levels (SWLs) were critically evaluated, extracted, and analyzed to delineate long‐term, average groundwater flow patterns using a nonstationary kriging technique at the basin‐scale (i.e., across the entire peninsula). Two regions identified as major basin‐scale discharge zones—the Michigan and Saginaw Lowlands—were further analyzed with regional‐ and local‐scale SWL models. Groundwater valleys (“discharge” zones) and mounds (“recharge” zones) were identified for all models, and the proportions of wells with elevated Cl^? concentrations in each zone were calculated, visualized, and compared. Concentrations in discharge zones, where groundwater is expected to flow primarily upwards, are consistently and significantly higher than those in recharge zones. A synoptic sampling campaign in the Michigan Lowlands revealed concentrations generally increase with depth, a trend noted in previous studies of the Saginaw Lowlands. These strong, consistent SWL and Cl^? distribution patterns across multiple scales suggest that a deep source (i.e., Michigan brines) is the primary cause for the elevated chloride concentrations observed in discharge areas across the peninsula.     

Tidal Response Characteristics of the Well Water Level in the Sichuan-Yunnan Region

In this paper, the long time series data of the well water-level data of 12 wells in the Sichuan and Yunnan area is analyzed by the Baytap-G tidal analysis software, and well water level tidal response characteristic parameters (amplitude ratio and phase change) are extracted. We analyzed the features of the shape and stage change, and characteristic parameters of the tidal response of well water level before and after the earthquakes, which can provide a new method and approach to analyzing the response relationships between well water level and earth tide and barometric pressure. The results show that Luguhu Well and 9 other wells are affected by earth tides, and their well water level amplitude ratios and phases are relatively stable; the Nanxi Well and Dayao Well water level changes are affected by the barometric pressure combined with tide force, and their well water level amplitude ratios and phases are more discrete. The water level amplitude ratios and phases of Jiangyou Well, Luguhu Well and Dongchuan Well are significant to large earthquakes, and the relationship between seismic energy density and water level amplitude ratios and phases of M₂ wave of the three wells are presented.     

地震前后井-含水层系统潮汐参数变化特征分析——以云南弥勒井为例

本文对弥勒井2004～2016年井水位同震响应形态及地震前后井水位潮汐参数变化关系特征进行分析。结果表明,在弥勒井水流运动方向总体是以垂向流为主、径向流为辅的前提下,天然因素(地震)和人工因素(洗井、装置改造)均可改变含水层水流运动方向。当震前潮汐因子和相位差反向变化时,能量较大的地震可以改变其水流运动方向,使震后潮汐因子和相位差呈同向变化,水流运动方向由以垂向为主变为以径向为主;能量较小的地震只是改变其含水层渗透系数,没有改变其水流运动方向,震后仍以垂向流为主。当震前潮汐因子和相位差呈同向变化时,能量较大的地震发生可以使径向含水层渗透系数增大,水流运动方向不变,震后仍以径向为主。通过分析潮汐参数变化,可以进一步得知井-含水层径、垂向流渗透系数的变化,为进一步精确计算含水层参数提供了参考。     

Fluid identification based on P-wave anisotropy dispersion gradient inversion for fractured reservoirs

Fluid identification in fractured reservoirs is a challenging issue and has drawn increasing attentions. As aligned fractures in subsurface formations can induce anisotropy, we must choose parameters independent with azimuths to characterize fractures and fluid effects such as anisotropy parameters for fractured reservoirs. Anisotropy is often frequency dependent due to wave-induced fluid flow between pores and fractures. This property is conducive for identifying fluid type using azimuthal seismic data in fractured reservoirs. Through the numerical simulation based on Chapman model, we choose the P-wave anisotropy parameter dispersion gradient (PADG) as the new fluid factor. PADG is dependent both on average fracture radius and fluid type but independent on azimuths. When the aligned fractures in the reservoir are meter-scaled, gas-bearing layer could be accurately identified using PADG attribute. The reflection coefficient formula for horizontal transverse isotropy media by Rüger is reformulated and simplified according to frequency and the target function for inverting PADG based on frequency-dependent amplitude versus azimuth is derived. A spectral decomposition method combining Orthogonal Matching Pursuit and Wigner–Ville distribution is used to prepare the frequency-division data. Through application to synthetic data and real seismic data, the results suggest that the method is useful for gas identification in reservoirs with meter-scaled fractures using high-qualified seismic data.     

Development of a novel sacrificial-energy dissipation outrigger system for tall buildings

The frame-core tube-outrigger structural system is widely used in tall buildings, in which outriggers coordinate the deformation between the core tube and the moment frame, leading to a larger structural lateral stiffness. Existing studies indicate that outriggers can be designed as “fuses” of tall buildings through dissipating seismic energy after yielding, to protect the main structure. To date, both conventional and buckling-restrained brace (BRB) outriggers have been applied in practice. Subjected to the maximum considered earthquake (MCE), the hardening effect of BRB outriggers increases the damage of other structural components. Meanwhile, conventional outriggers are difficult to repair, owing to the local buckling-induced severe deterioration and damage. To overcome these problems, this study proposes a novel sacrificial-energy dissipation outrigger (SEDO) to improve the seismic resilience of tall buildings. The chords of SEDO are made of high-strength steel and remain elastic. The inclined braces of the SEDO are composed of a sacrificial part and an energy-dissipating part. Therefore, the SEDO remains elastic under design-based earthquakes (DBEs) and dissipates inelastic energy under MCEs. Moreover, the detailing of this novel SEDO is proposed on the basis of experimental studies. The optimal strength ratio between the sacrificial part and the energy-dissipating part is determined in the range of 6:4 to 4:6 on the basis of nonlinear time history analyses (THAs) and parametric studies. Afterwards, the SEDOs are used in an actual tall building to verify their seismic performances through nonlinear THAs. The results indicate the proposed SEDO is able to protect other structural components and effectively improve the seismic resilience of tall buildings.     

岩溶湿地表层水体CO2分压时空分布特征及其扩散通量

为揭示岩溶湿地表层水体二氧化碳分压(pCO₂)的时空分布规律及其扩散通量,以我国最大的岩溶湿地贵州威宁草海为研究对象,分别于2019年7月(丰水期)和12月(枯水期)通过网格布点法,系统采集草海表层湿地水体,测定水样理化指标和离子组成,利用PHREEQCI软件计算水体pCO₂,并基于Cole提出的气体扩散模型估算水-气界面二氧化碳(CO₂)的扩散通量.结果表明:草海湿地表层水体丰水期pCO₂的变化范围为0.44~645.65μatm,平均值为(55.94±124.73)μatm;枯水期变化范围为35.48~707.95μatm,平均值为(310.46±173.54)μatm;丰水期水体整体pCO₂低于枯水期,空间上两期水体均呈现东部区域及河流入湖口处pCO₂较高,而中西部区域pCO₂欠饱和的特征.水-气界面CO₂的扩散通量在丰水期变化范围为-43.27~27.16 mmol/(m²·d),平均值(-34.49±12.93)mmol/(m²·d),枯水期变化范围为-33.36~28.15 mmol/(m²·d),平均值(-8.02±15.85)mmol/(m²·d),与其他岩溶湖库相比,水生植物丰富的草海在两个极端水文期CO₂扩散通量相对较低,总体表现为大气CO₂的汇.     

Toward Equal Opportunity of Primary Education: Introducing a Lottery into China’s Proximity-Based Enrollment System

A serious spatial inequality of educational opportunity in school enrollment persists worldwide. The use of random mechanisms in school allocation might improve spatial equality, with lotteries applied in some choice-based systems. China uses a proximity-based assignment, yet the optimization of spatial equality of educational opportunity by introducing a lottery has received little consideration. To achieve the maximum spatial equality of educational opportunity, in this study, a random proximity-based model was developed, and the swarm optimization method was used to solve the model. A case study in the Shijingshan district of Beijing was used to illustrate the model outputs. For comparison, a proximity-based model was also developed and solved. After introducing a lottery into a proximity-based enrollment system, the spatial disparity of educational opportunity was reduced by 70 percent. The average travel distance to school increased 3.5-fold but was still much less than the actual average distance of 4.3?km. Relaxing the maximum travel distance constraint could significantly improve spatial inequality. Although total equality was significantly improved, only 51 percent of students benefited from increased opportunities, which implies that the model could be adopted in a centralized institutional context, such as China, but might be ineffective in a democratic system.     

Inferring user tasks in pedestrian navigation from eye movement data in real-world environments

Eye movement data convey a wealth of information that can be used to probe human behaviour and cognitive processes. To date, eye tracking studies have mainly focused on laboratory-based evaluations of cartographic interfaces; in contrast, little attention has been paid to eye movement data mining for real-world applications. In this study, we propose using machine-learning methods to infer user tasks from eye movement data in real-world pedestrian navigation scenarios. We conducted a real-world pedestrian navigation experiment in which we recorded eye movement data from 38 participants. We trained and cross-validated a random forest classifier for classifying five common navigation tasks using five types of eye movement features. The results show that the classifier can achieve an overall accuracy of 67%. We found that statistical eye movement features and saccade encoding features are more useful than the other investigated types of features for distinguishing user tasks. We also identified that the choice of classifier, the time window size and the eye movement features considered are all important factors that influence task inference performance. Results of the research open doors to some potential real-world innovative applications, such as navigation systems that can provide task-related information depending on the task a user is performing.