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.     

城市场次降雨径流污染负荷快速估算方法

城市降雨径流污染是城市水质恶化的重要原因之一,定量计算城市降雨径流污染负荷,是实施城市水环境污染总量控制管理的基础和关键,可为城市水环境治理和污染控制提供科学依据.本文以污染物累积冲刷理论为基础,提出了“特征面积”的概念和计算公式,建立了场次降雨径流污染负荷数学模型,并结合案例,对数学模型在有效性、预测精度、适用性和局限性等方面进行评价.结果表明,特征面积较好地反映了污染物在各类土地上的污染负荷特性,场次降雨径流污染负荷与特征面积和降雨量的乘积呈正比.利用3场及以上降雨径流污染负荷结果,可较好地率定模型,从而可快速且较准确地估算单场次降雨径流污染负荷.该方法简单实用,获取数据工作量小,适用地区广.对于小降雨事件,建议采用降雨量相近的观测结果对模型进行率定,以提高模型的预测精度.     

太湖流域滆湖围网拆除后沉积物营养盐和重金属空间分布特征及评价

为评估滆湖围网拆除工程实施效果,采用高密度网格化布点方法,系统分析滆湖沉积物营养盐和重金属的空间分布和污染特征;并基于有机氮评价方法、综合污染指数评价方法、重金属地质累积指数法和重金属潜在生态风险评价方法进行污染风险评价.结果表明,滆湖沉积物总氮(TN)、总磷(TP)和总有机碳(TOC)的平均含量分别为(3709±1004)mg/kg、(1127±650) mg/kg和(78.39±23.88) mg/g,三者空间分布特征较为一致;营养盐综合污染指数评价表明,全湖整体为重度污染,其中全湖TN均处于重度污染状态,TP绝大部分区域也处于重度污染状态.沉积物重金属Zn、Cr、As、Pb、Ni、Cu、Cd 的平均含量分别为(170.62±47.25)、(105.18±34.91)、(68.55±10.86)、(52.43±14.73)、(44.04±11.93)、(42.57±12.43)、(1.55±1.06) mg/kg,整体上呈现出由南向北、自西向东逐渐增加的趋势,重金属含量最高值在湖区东北角;地积累指数法和潜在生态风险指数法评价结果均表明Cd和As是主要的生态风险贡献因子,其中Cr和Ni的污染程度表现为清洁,Cr、Ni、Cu、Zn和Pb的单项潜在生态风险等级表现为轻微风险.与围网拆除前比,湖中区西南部沉积物营养盐含量无显著变化,湖南区南部沉积物营养盐状况明显改善,但其余各区域沉积物营养盐状况均有不同程度的恶化;湖区沉积物中重金属元素平均含量均有极大程度的降低,降幅在29.50%～80.45%之间,表明在外源污染输入得到一定控制时,围网拆除在控氮、控磷效果及改善重金属污染状况方面有着积极作用.     

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.     

Iterative construction of low-altitude UAV air route network in urban areas: Case planning and assessment

Journal of Geographical Sciences - With the rapid increase of Unmanned Aircraft Vehicle (UAV) numbers, the contradiction between extensive flight demands and limited low-altitude airspace resources...     

广西涠洲岛黄廯蜂巢珊瑚、肉质扁脑珊瑚的胚胎和幼虫的早期发育

研究造礁石珊瑚的有性繁殖来探索珊瑚礁的生态修复是近年来的热点。本文于2018年5月采集广西涠洲岛自然海域中的黄廯蜂巢珊瑚(Favia favus)和肉质扁脑珊瑚(Platygyra carnosus)至室内养殖,收集受精卵,观察和记录其胚胎和幼虫的早期发育过程。结果显示,黄廯蜂巢珊瑚和肉质扁脑珊瑚都是雌雄同体,体外受精,在月圆后5~8 d产卵;发育过程都经历卵裂期、囊胚期、原肠胚期以及浮浪幼虫期;两者的卵母细胞都不含虫黄藻。本研究记录了涠洲岛造礁石珊瑚的有性繁殖行为,为进一步利用有性繁殖来进行珊瑚礁的生态修复提供了理论基础。     

海洋流线积分自适应步长计算模型研究

针对步长固定的传统流线数值积分中造成的计算不精确或无谓计算过多的问题,文献[15]提出了一种自适应步长的海洋流线构造算法,该算法中的自适应步长计算模型可综合考虑局部网格的流速和流向,具有双自由度调整的优点,但也存在着邻近网格流向改变过大造成的追踪不持续、网格内流速过缓造成的迭代死循环等问题,为此本文提出了一种新的自适应步长计算优化模型,优化后的模型在保持原模型优点的基础上,通过限定积分步长的下限取值范围,解决了流线追踪不连续及计算迭代死循环问题,同时通过调整参数μ及δ在模型中的控制范围,使积分步长的适用度更加宽泛,从而提高了算法的计算效率、减少了数据存储量,并避免了流线混叠及锯齿现象,通过大量试验及三维可视效果的对比分析,验证了算法的可行性和有效性。