双量子阱结构OLED效率和电流的磁效应

通过结构为ITO/NPB(60 nm)/ Alq₃ ∶1 wt% rubrene(20 nm)/ Alq₃(3 nm)/ Alq₃ ∶1 wt% rubrene(20 nm)/ Alq₃(20 nm)/LiF/Al的双量子阱的黄色有机电致发光器件,研究了不同磁场强度下的发光效率和电流变化特性. 研究结果表明该器件的电流是随着磁场强度的增加而单调下降的,显示了器件的电阻是随着磁场强度的增加而增加的. 同时也得到了该结构有     

中国滑雪场可达性及市场潜力测度

利用可达性分析方法与潜力模型对中国滑雪场空间分布格局与市场潜力进行了系统分析,全面认识了滑雪场在交通可达性方面的优劣势,并针对不同区域提出了相应的发展或改进方向.研究表明:中国滑雪场距离城市中心的平均最短旅行时间为1.24 h,南方可达性普遍较差,北方同一城市内部差异较大.全国各城市到达某一滑雪场的最短时间呈圈层式分布...     

多源异构地震数据的一体化编码和接口技术的设计与实现

以多源异构地震灾情数据为研究对象,针对震后灾情获取缓慢且碎片化、公众涉灾信息数据异构、多维、数据格式差异大、部分数据维度缺失导致的数据无法得到综合利用、决策支持不到位等问题,基于相关灾害信息标准化管理,提出多源异构地震数据的一体化编码和接口技术规范。根据此规范,设计实现了灾情数据的一体化编码管理以及基于开放式接口规范的灾情数据接入,从而实现了灾情数据入库、管理、实时发布的全周期一体化管理。同时,给出了多源异构应急信息大数据资源的统一表达模型,为震后应急管理提供了技术保障,提升了灾情数据管理效率。     

经济地理学视角下的旅游发展理论演进

经济地理学是一门非常活跃和发展演化很快的学科.近30年来,经济地理学的发展演化带动了旅游发展理论的演变.回顾旅游发展理论研究的进展,依次有依附理论、生命周期理论、社区研究方法、福特主义、弹性专业化和全球商品链理论,这些理论在旅游方面的应用和研究,从时间和数量上都明显滞后于生产实践活动,说明旅游研究还处于经济地理学科"边缘化"的地位.在今天经济全球化的背景下,旅游产业在迅猛发展之时,旅游发展理论的建设更应与经济地理学紧密结合,由"边缘"走向"核心".     

阿尔金断裂花海段新生代变形特征及时间

在地表地质调查并结合钻井资料分析的基础上,主要通过地震剖面的精细地质解释,对阿尔金断裂东段的构造变形特征进行了系统分析。认为阿尔金断裂经阿克塞至肃北向北东东方向延伸,既没有止于玉门市西北的宽台山,也没有延伸至金塔盆地,而是止于其间的花海盆地花探7井东侧。阿尔金断裂花海段的变形时间主要为渐新世晚期、上新世末期和晚更新世末,以后者最为强烈。与红柳峡段的对比说明变形强度自西向东逐渐减弱,变形方式主要为走滑兼逆冲,主要构造样式为半花状构造,并派生有一系列向南西西方向收敛的弧形断裂。     

耦合地震动下地铁车站的动力响应研究

耦合地震动对地铁车站结构的响应较为复杂,本文运用有限单元法进行动力时程分析,研究地铁车站结构承受水平、竖向和双向耦合地震动作用下的动力响应规律.结果表明:(1)耦合地震动对结构相对水平位移影响较小,但对结构的相对竖向位移影响较大.(2)耦合地震动会减小中柱主应力值,但并未较大程度上改变中柱主应力值大小分布情况.(3)车...     

基于D-InSAR技术的矿区地质灾害研究

近年来,随着经济的飞速发展,人类的生产活动加剧了部分地质灾害的产生,尤其是矿产行业,如何对矿区的地表沉陷进行有效监测成为众多学者的研究方向之一.随着雷达卫星的陆续布置,差分雷达干涉测量方法(D-InSAR)的高精度、全天候、成本低的特点使得它成为矿区沉降监测的重要手段之一.通过利用D-InSAR技术对试验区域的雷达影像...     

Precipitation‐runoff processes in Shimen hillslope micro‐catchment of Taihang Mountain,north China

Precipitation runoff is a critical hillslope hydrological process for downslope streamflow and piedmont/floodplain recharge. Shimen hillslope micro‐catchment is strategically located in the central foothill region of Taihang Mountains, where runoff is crucial for water availability in the piedmont corridors and floodplains of north China. This study analyzes precipitation‐runoff processes in the Shimen hillslope micro‐catchment for 2006–2008 using locally designed runoff collection systems. The study shows that slope length is a critical factor, next only to precipitation, in terms of runoff yield. Regression analysis also shows that runoff is related positively to precipitation, and negatively to slope length. Soil mantle in the study area is generally thin and is therefore not as critical a runoff factor as slope length. The study shows a significant difference between overland and subsurface runoff. However, that between the 0–10 and 10–20 cm subsurfaces is insignificant. Runoff hardly occurs under light rains (<10 mm), but is clearly noticeable under moderate‐to‐rainstorm events. In the hillslope catchment, vertical infiltration (accounting for 42–84% of the precipitation) dominates runoff processes in subsurface soils and weathered granite gneiss bedrock. A weak lateral flow (at even the soil/bedrock interface) and the generally small runoff suggest strong infiltration loss via deep percolation. This is critical for groundwater recharge in the downslope piedmont corridors and floodplains. This may enhance water availability, ease water shortage, avert further environmental degradation, and reduce the risk of drought/flood in the event of extreme weather conditions in the catchment and the wider north China Plain. Copyright © 2011 John Wiley & Sons, Ltd.     

Seasonal evaluation of rainfall estimation by four cumulus parameterization schemes and their sensitivity analysis

Sustainable water resources management require scientifically sound information on precipitation, as it plays a key role in hydrological responses in a catchment. In recent years, mesoscale weather models in conjunction with hydrological models have gained great attention as they can provide high‐resolution downscaled weather variables. Many cumulus parameterization schemes (CPSs) have been developed and incorporated into three‐dimensional Pennsylvania State University/National Center for Atmospheric Research (PSU/NCAR) mesoscale model 5 (MM5). This study has performed a comprehensive evaluation of four CPSs (the Anthes–Kuo, Grell, Betts–Miller and Kain–Fritsch93 schemes) to identify how their inclusion influences the mesoscale model's precipitation estimation capabilities. The study has also compared these four CPSs in terms of variability in rainfall estimation at various horizontal and vertical levels. For this purpose, the MM5 was nested down to resolution of 81 km for Domain 1 (domain span 21 × 81 km) and 3 km for Domain 4 (domain span 16 × 3 km), respectively, with vertical resolutions at 23, 40 and 53 vertical levels. The study was carried out at the Brue catchment in Southwest England using both the ERA‐40 reanalysis data and the land‐based observation data. The performances of four CPs were evaluated in terms of their ability to simulate the amount of cumulative rainfall in 4 months in 1995 representing the four seasonal months, namely, January (winter), March (spring), July (summer) and October (autumn). It is observed that the Anthes–Kuo scheme has produced inferior precipitation values during spring and autumn seasons while simulations during winter and summer were consistently good. The Betts–Miller scheme has produced some reasonable results, particularly at the small‐scale domain (3 km grid size) during winter and summer. The KF2 scheme was the best scheme for the larger‐scale (81 km grid size) domain during winter season at both 23 and 53 vertical levels. This scheme tended to underestimate rainfall for other seasons including the small‐scale domain (3 km grid size) in the mesoscale. The Grell scheme was the best scheme in simulating rainfall rates, and was found to be superior to other three schemes with consistently better results in all four seasons and in different domain scales. Copyright © 2011 John Wiley & Sons, Ltd.     

Modelling combined open channel flow by artificial neural networks

Combined open channel flow is encountered in many hydraulic engineering structures and processes, such as irrigation ditches and wastewater treatment facilities. Extensive experimental studies have conducted to investigate combined flow characteristics. Nevertheless, there is no simple relationship that can fully describe the velocity profiles in a turbulent flow. The artificial neural network (ANN) has great computational capability for solving various complex problems, such as function approximation. The main objective of this study is to evaluate the applicability of the ANN for simulating velocity profiles, velocity contours and estimating the discharges accordingly. The velocity profiles measured by an acoustic doppler velocimeter in the open channel of the Chihtan purification plant, Taipei, with different discharges at fixed measuring section and different depths are presented. The total number of data sets is 640 and the data sets are split into two subsets, i.e. training and validation sets. The backpropagation algorithm is used to construct the neural network. The results demonstrate that the velocity profiles can be modelled by the ANN, and the ANN constructed can nicely fit the velocity profiles and can precisely predict the discharges for the conditions investigated. Copyright © 2005 John Wiley & Sons, Ltd.