城市公共服务设施与人口是否匹配?——基于社区生活圈的评估

公共服务设施是城市社会服务最基本的承载体,公共服务设施分配的公平与否,事关城市健康发展和社会公正运行.目前由于城市微观尺度人口数据的缺失,鲜有研究将供给侧(公共服务设施)与需求侧(人口)统一起来.鉴于此,论文以互联网地图API为支撑,建立了5min、10 min、15min三个层级的社区生活圈,并模拟了高分辨率、高精度...     

新疆洪旱灾害与大尺度气候强迫因子的联系

通过对新疆洪灾灾害历史资料和太阳黑子、ENSO事件年数据以及北大西洋涛动指数的分析,表明在太阳黑子极低值年或不活跃年,新疆易发生重大洪灾,而在太阳黑子低值年或相对不活跃年,新疆也易发生重大旱灾。近200a来,新疆重大洪旱灾害绝大部分都发生在太阳黑子的低谷时期。ENSO事件对新疆夏季降水的影响效应明显。因而该事件对新疆的洪旱灾害也产生了影响。对近50年来灾害统计资料分析显示,与拉尼娜年相比,在厄尔尼诺年新疆更易发生洪旱灾害。20世纪后半段新疆洪旱灾害指数与北大西洋涛动指数进行对比可以发现．夏季NAO指数与新疆洪水灾害之间存在大致上的反相关系。而冬季NAO指数与新疆干旱灾害之间存在比较明显的反相关系。     

基于Item2Vec负采样优化的专题地图产品个性化推荐方法研究

建立适用于专题地图产品检索的用户偏好推荐模型是提高专题地图质量的有效方式之一,在专题地图产品推荐场景中,存在严重的内容冷启动和评论数据稀疏问题,现有的推荐算法无法为特定类用户推荐不同特征的专题地图产品,导致用户从专题地图中获取偏好信息受到限制。因此,本文构建基于负采样的连续词袋模型和基于Word2Vec的Item2Vec相结合的用户偏好推荐方法,用于专题地图产品推荐。① 计算用户行为日志文件中交互行为数据的隐性评分,以代替专题地图推荐信息流场景中稀疏的用户评论数据;② 基于负采样的连续词袋模型提取目标专题地图的前后地图序列感知特征信息,通过控制正负样本比例为1:2,提升目标专题地图潜在评分的预测精度;③ 通过Item2Vec将带有用户行为特征信息的专题地图映射到向量空间,计算用户对专题地图的相似度矩阵,根据用户偏好程度完成推荐。在构建的专题地图评分实验数据集Thematic CMaps和4个公开验证数据集MovieLens上的测试结果表明:与LFM、Personal Rank、Content Based和SVD 4种传统推荐算法相比,本文所提方法可有效提高潜在评分的预测精度,推荐性能最高达到27.85%;与以霍夫曼采样方式的Item2Vec基础方法和YouTubeNet 2种神经网络推荐算法相比,评分预测精度有一定提高,且推荐性能不断提升,最高达到2.97%和5.78%。以经典算法奇异值分解（SVD）为例,将MovieLens-20M数据集切分后,在数据量不断增大的数据子集中,本文所用方法的评分预测精度和性能均优于SVD方法。     

On the land use in Three Gorges Reservoir area

In this study the arable land changes in two counties (Zigui and Xingshan) in the Three Gorges Reservoir area in China are investigated. The statistical data from the officially published statistical books are used to study these changes in the two counties during the past 50 years since 1949. The changes of arable land, changes of arable land per capita, and changes of multiple crop index in Zigui and Xingshan counties are examined. Using an index method, we conclude that the two counties are critical in the sustainable utilization of arable land.     

幕阜山矿集区黄柏山锂铌钽矿床地质特征及找矿方向

江南造山带中段幕阜山稀有金属矿集区是我国东部重要的锂铌钽资源基地, 区域锂资源主要集中于锂辉石伟晶岩中。但此类伟晶岩常受到岩浆出溶热液的叠加作用, 导致锂不同程度的流失, 因此新鲜锂辉石伟晶岩的产出条件与精准定位, 成为区域成矿理论研究与锂资源勘查的突破重点。笔者研究团队近年来在幕阜山地区新发现的黄柏山锂铌钽矿床, 产出了区域少有的大规模新鲜锂辉石伟晶岩脉。本次研究在黄柏山矿床已开展的化探、探槽、钻探等勘查工作基础上, 系统总结了矿床的地质条件, 精确厘定其成矿时代, 初步建立了仁里-黄柏山矿田成矿模型, 并进一步指出区域找矿方向。黄柏山矿床位于幕阜山岩体西南缘, 矿床内伟晶岩总体沿片岩片理产出, 其类型主要为(白云母)钠长石伟晶岩和锂辉石钠长石伟晶岩, 稀有金属矿化组合为Be-Nb-Ta-Li, 稀有金属矿物主要为绿柱石、铌钽铁矿和锂辉石。矿床内锂辉石多为新鲜无蚀变(＞96%), 少数晶体边缘具弱蚀变或锂辉石+石英蠕虫状共生结构, 为岩浆演化晚阶段流体出溶导致的弱酸性交代所致。三种类型锂辉石的Li2O为7.72%~7.82%, 基本未发生锂的流失, 这与区域构造交汇导致容矿空间封闭性弱, 岩浆演化出溶热液第一时间运移扩散有关。黄柏山矿床稀有金属成矿作用发生在早白垩世(133.0±1.5Ma), 与幕阜山矿集区二云母花岗岩成矿阶段时限(135.8~133.0Ma)一致。本次工作通过对仁里-黄柏山矿田伟晶岩地表类型分带的重新厘定, 结合区域已有的成矿母岩及伟晶岩垂向分带研究成果, 提出黄柏山矿床、仁里矿床、深部成矿母岩三者从西至东呈现出由高至低的三维空间分布特征, 初步建立矿田"体中体"模型。该模型及稀有金属成矿作用特点显示, 矿田西南部冷家溪群与幕阜山岩体接触带区域, 尤其是高地形地区, 仍具有锂找矿潜力。     

太湖水质参数MODIS的遥感定量提取方法

本文利用MODIS数据的可见光、近红外波段和准实时的地面采样数据,分别利用线性回归模型和神经网络模型反演了太湖的叶绿素a和悬浮物浓度.结果表明,利用MODIS数据的波段组合(M2/M8)和(M2/M9)可估算太湖的叶绿素a浓度;而MODIS数据的波段组合(M12/M17)、(M13/M17)及MODIS(M4)波段能定量估算太湖的悬浮物浓度,但估算精度仍不能满足实际需要.因此,构建了一个以MODIS可见光及近红外波段为输入,以太湖水质参数为输出的2层BP神经网络模型反演太湖的水质参数,大大提高了反演精度.     

兰州大学(盘旋路校区)2003年生态足迹调查分析

人均消费产品的数量是计算区域人均生态足迹关键和基础的一步。通过实地问卷调查，运用自下而上法收集资料，计算小尺度生态足迹。兰州大学(盘旋路校区)2003年的生态足迹计算结果为：人均生态足迹0．892hm^2，男、女生的人均生态足迹分别为0．976hm^2和0．788hm^2。这些数据与全国或者西部的人均生态足迹相比明显偏低，但总生态足迹为4119．3hm^2，是校园面积的73．7倍。因此，应合理利用自然资源，减少学生的生态足迹，真正做到可持续发展。     

辽宁沿海经济带产业分工研究简

为反映区域产业分工现状,利用变异系数与空间洛伦茨曲线、空间基尼系数相结合,在产品层次上,对辽宁沿海经济带产业分工现状进行定量研究并提出相应的协调发展建议。结果表明：辽宁沿海经济带农业和采掘业依据自身比较优势发展相应产业,产业分工较为明确;制造业在行业层次存在同构现象,但在产品层次上,各地差异化发展明显,区域产业分工逐步显现;第三产业内部结构亟待调整,其中基础服务业与个人消费服务业发展较为完善,但生产和市场服务业中的金融、物流和专业技术服务业与公共服务业中的公共管理服务业发展相对滞后,影响工业化进程的推进与产业结构的升级。在此基础上,针对各产业分工结果,提出相应的协调发展建议。     

Formation and evolution of the modem warm current system in the East China Sea and the Yellow Sea since the last deglaciation

To reconstruct the formation and evolution process of the warm current system within the East China Sea (ECS) and the Yellow Sea (YS) since the last deglaciation, the paleoceangraphic records in core DGKS9603, core CSH1 and core YSDPI02, which were retrieved from the mainstream of the Kuroshio Current (KC), the edge of the modem Tsushima Warm Current (TWC) and muddy region under cold waters accreted with the Yellow Sea Warm Current (YSWC) respectively, were synthetically analyzed. The results indicate that the formation and evolution of the modem warm current system in the ECS and the YS has been accompanied by the development of the KC and impulse rising of the sea level since the last deglaciation. The influence of the KC on the Okinawa Trough had enhanced since 16 cal kyr BE and synchronously the modem TWC began to develop with the rising of sea level and finally formed at about 8.5 cal kyr BP. The KC had experienced two weakening process during the Heinrich event 1 and the Younger Drays event from 16 to 8.5 cal kyr BP. The period of 7-6 cal kyr BP was the strongest stage of the KC and the TWC since the last deglaciation. The YSWC has appeared at about 6.4 cal kyr BP. Thus,the warm current system of the ECS and the YS has ultimately formed. The weakness of the KC,indicated by the occurrence of Pulleniatina minimum event (PME) during the period from 5.3 to 2.8 cal kyr BE caused the main stream of the TWC to shift eastward to the Pacific Ocean around about 3 cal kyr BP. The process resulted in the intruding of continent shelf cold water mass with rich nutrients. Synchronously, the strength of the YSWC was relatively weak and the related cold water body was active at the early-mid stage of its appearance against the PME background, which resulted in the quick formation of muddy deposit system in the southeastern YS. The strength of the warm current system in the ECS and the YS has enhanced evidently, and approached to the modern condition gradually since 3 cal kyr BP.     

Predictability of Chinese Summer Extreme Rainfall Based on Arctic Sea Ice and Tropical Sea Surface Temperature

Chinese summer extreme rainfall often brings huge economic losses, so the prediction of summer extreme rainfall is necessary. This study focuses on the predictability of the leading mode of Chinese summer extreme rainfall from empirical orthogonal function(EOF) analysis. The predictors used in this study are Arctic sea ice concentration(ASIC) and regional sea surface temperature(SST) in selected optimal time periods. The most important role that Arctic sea ice(ASI) plays in the appearance of EOF1 may be strengthening the high pressure over North China, thereby preventing water vapor from going north. The contribution of SST is mainly at low latitudes and characterized by a significant cyclone anomaly over South China. The forecast models using predictor ASIC(PA), SST(PS), and the two together(PAS) are established by using data from 1980 to 2004. An independent forecast is made for the last 11 years(2005-2015). The correlation coefficient(COR) skills between the observed and cross-validation reforecast principal components(PC) of the PA, PS, and PAS models are 0.47, 0.66, and 0.76, respectively. These values indicate that SST is a major cause of Chinese summer extreme rainfall during 1980-2004. The COR skill of the PA model during the independent forecast period of 2004-2015 is 0.7, which is significantly higher than those of the PS and PAS models. Thus, the main factor influencing Chinese summer extreme rainfall in recent years has changed from low latitudes to high latitudes. The impact of ASI on Chinese summer extreme rainfall is becoming increasingly significant.