Impacts of systematic precipitation bias on simulations of water and energy balances in Northwest America

At high latitudes and in mountainous areas, evaluation and validation of water and energy flux simu-lations are greatly affected by systematic precipitation errors. These errors mainly come from topographic effects and undercatch of precipitation gauges. In this study, the Land Dynamics （LAD） land surface model is used to investigate impacts of systematic precipitation bias from topography and wind-blowing on water and energy flux simulation in Northwest America. The results show that topographic and wind adjustment reduced bias of streamflow simulations when compared with observed streamflow at 14 basins. These systematic biases resulted in a -50%-100% bias for runoff simulations, a -20%-20% bias for evapotranspiration, and a -40%-40% bias for sensible heat flux, subject to different locations and adjustments, when compared with the control run. Uncertain gauge adjustment leads to a 25% uncertainty for precipitation, a 20% 100% uncertainty for runoff simulation, a less-than-10% uncertainty for evapotranspiration, and a less-than-20% uncertainty for sensible heat flux.     

Seasonal variations in fouling diatom communities on the Yantai coast

Fouling diatoms are a main component of biofilm,and play an important role in marine biofouling formation. We investigated seasonal variations in fouling diatom communities that developed on glass slides immersed in seawater,on the Yantai coast,northern Yellow Sea,China,using microscopy and molecular techniques. Studies were conducted during 2012 and 2013 over 3,7,14,and 21 days in each season. The abundance of attached diatoms and extracellular polymeric substances increased with exposure time of the slides to seawater. The lowest diatom density appeared in winter and the highest species richness and diversity were found in summer and autumn. Seasonal variation was observed in the structure of fouling diatom communities. Pennate diatoms Cylindrotheca,Nitzschia,Navicula,Amphora,Gomphonema,and Licmophora were the main fouling groups. Cylindrotheca sp. dominated in the spring. Under laboratory culture conditions,we found that Cylindrotheca grew very fast,which might account for the highest density of this diatom in spring. The lower densities in summer and autumn might result from the emergence of fouling animals and environmental factors. The Cylindrotheca sp. was identified as Cylindrotheca closterium using18 S rDNA sequencing. The colonization process of fouling diatoms and significant seasonal variation in this study depended on environmental and biological factors. Understanding the basis of fouling diatoms is essential and important for developing new antifouling techniques.     

南京市居民网络消费的影响因素及空间特征简

在互联网络和信息技术的影响下,网上购物、团购等基于电子商务平台的网络消费方式得到极大发展,网络消费逐渐成为城市居民消费选择的重要方式,网络消费市场得到了较快的发展。同时,由于居民社会阶层的差别及相应居住空间的分异,导致网络消费呈现出不同的空间特征,并且对实体空间产生不同程度的影响。通过对南京居民网络消费情况的问卷调查,分析个人社会经济属性、住房状况、交通方式以及移动网络使用等体现居民社会阶层状况的要素对居民网络消费选择的影响,进而分析居民网络消费的空间分布特征,研究城市不同空间的网络消费构成和网络消费商品类型特征,在此基础上分析不同空间网络消费对交通出行和实体商业空间结构的影响程度。     

纳米碳酸钙材料的工业合成与应用

该文对目前工业上生产纳米碳酸钙的方法作了较为详细的综述。对一步碳化法、两步碳化法、多段喷雾碳化法、旋转填充床碳化反应器碳化技术制备链形、纺锤形、球形、立方形等不同形状的纳米碳酸钙材料的方法进行了比较和总结     

一次强冰雹过程的物理机制分析

从冰雹形成所需具备的三个条件入手,详细分析了2002年7月19日出现在郑州地区的强冰雹过程。结果表明：水汽条件、不稳定层结、外部抬升力等条件同时满足,易导致强对流性天气的产生;适宜的0℃层和-20℃层高度及大的环境风垂直切变有利于雹粒的增长;低空水平螺旋度和差动位温平流与此次强雹落区有较好的对应关系。     

Building a model-based personalised recommendation approach for tourist attractions from geotagged social media data

When travelling, people are accustomed to taking and uploading photos on social media websites, which has led to the accumulation of huge numbers of geotagged photos. Combined with multisource information (e.g. weather, transportation, or textual information), these geotagged photos could help us in constructing user preference profiles at a high level of detail. Therefore, using these geotagged photos, we built a personalised recommendation system to provide attraction recommendations that match a user's preferences. Specifically, we retrieved a geotagged photo collection from the public API for Flickr (Flickr.com) and fetched a large amount of other contextual information to rebuild a user's travel history. We then created a model-based recommendation method with a two-stage architecture that consists of candidate generation (the matching process) and candidate ranking. In the matching process, we used a support vector machine model that was modified for multiclass classification to generate the candidate list. In addition, we used a gradient boosting regression tree to score each candidate and rerank the list. Finally, we evaluated our recommendation results with respect to accuracy and ranking ability. Compared with widely used memory-based methods, our proposed method performs significantly better in the cold-start situation and when mining ‘long-tail’ data.     

黄淮海平原晚新生代重大地质事件

晚新生代以来,青藏高原的隆升导致中国地貌格局、古气候系统及晚新生代沉积体系发生巨变。青藏高原以东至边缘海的广大区域形成统一水系,将巨量沉积物搬运至中国东部连续堆积形成黄淮海平原。太行山的隆升、边缘海陆架的沉降,黄河的贯通及晚第四纪大规模海侵等,深刻改造了黄淮海平原的自然环境,至今仍然影响其社会经济的发展,成为重要的科学问题。针对这些事件的研究,对于理解晚新生代黄淮海平原的形成和演化具有重要意义,也可为缓解该地区目前紧张的人地关系提供理论基础。对晚新生代黄淮海平原形成发育的构造地貌过程、黄河贯通和晚第四纪海侵等重大事件研究现状进行了综合分析,认为：①青藏高原隆升是黄淮海平原当今地貌及海陆格局形成的根本原因;②黄河贯通对黄淮海平原地表过程、水系演化及源-汇体系带来深远影响;③沿海地区晚更新世以来3次重要的海侵事件及相关的海陆相互作用,不但造成了沉积环境的变化,还形成了下切河谷特殊地貌景观;④晚新生代黄淮海地区重大地质事件的时间节点是中新世和晚第四纪。系统总结了黄淮海平原在构造-气候相互作用、地貌动态演化和年代学研究中存在的问题,认为未来亟需对黄淮海平原开展多学科系统性的工作。     

浙江八面山萤石矿床流体包裹体地球化学研究

八面山萤石矿床流体包裹体可分为三大类型:Ⅰ气液包裹体,Ⅱ气体包裹体,Ⅲ含子矿物的多相包裹体;矿床成矿温度变化不大,主要集中在120～240°C之间。细粒条带状萤石矿石包裹体温度变化在115～250℃之间;巨晶块状萤石矿石和石英脉型萤石矿石包裹体温度集中在135～170℃之间。萤石矿床流体包裹体以低盐度成矿流体为主。成矿过程中起作用的成矿流体为KCl-H2O体系和CO2-CaF2-H2O体系,成矿溶液的离子类型属K+-Ca2+-HCO--F-型,KCl-H2O体系反映岩浆期后热液作用的结果,而CO2-CaF2-H2O体系可能反映了寒武纪矿源层成矿体系。通过包裹体研究,认为八面山萤石矿床是受地层-岩体-层间断裂共同控制三位一体的热液成因矿床。     

大数据环境下道路场景高时空分辨率众包感知方法EI北大核心CSCD

道路场景作为人类发展演变中最重要、最复杂、最典型的载体之一,是道路基础设施与活动行为共同构成的综合体,链接和构建“人地关系”。道路场景感知从二维抽象简略到三维精细丰富、从静态过去式向动态现在时发展,成为智慧城市、智能交通、无人驾驶的关键技术支撑,是我国新型城镇化战略、交通强国战略的核心技术保障。本文立足于时空交通大数据,提出基于道路场景静态基础设施“形”和动态活动行为“流”的高时空分辨率道路场景感知方法。该方法从静态路网“形”角度,以“点-线-面-体”等要素为研究脉络,构建高精度道路地图众包感知的理论体系;在活动行为“流”感知上,突破传统的点模式分析局限,发展了道路网络空间活动流的时空建模与多尺度分析方法。本文揭示了静态基础设施“形”结构与动态活动行为“流”模式交互作用下的道路场景演化规律,形成以“形”控“流”、借“流”定“形”、“形”“流”叠置的高时空精度道路场景众包感知理论体系,为智慧城市、智能交通的发展提供核心技术与数据支撑。