结合POI数据的道路自动选取方法

人们对道路重要性的认知与道路周边设施有重要关系,针对现有地图综合道路选取方法中对语义特征考虑不足的问题,将POI数据引入到道路的语义特征分析中,提出一种综合考虑道路空间特征和语义特征的道路综合自动选取方法。首先,结合POI位置数据构造了道路语义特征度量的3个新参量：设施点密度、重要设施比率和专题设施比率;然后,与道路长度、连接值、总深度值、平均线密度等反映道路几何、拓扑和分布特征的度量参量一起,通过归一化和熵值法赋权进行整合计算,得到道路重要性值;最后,综合考虑道路重要性值、道路stroke构成和stroke连通度的约束条件进行道路的分步选取。实验结果表明,该方法在保留主要道路、保持道路分布疏密特征和道路连通性的同时,较好地顾及了道路的语义特征信息。     

基于偏最小二乘回归的纹理特征线性组合

基于偏最小二乘回归技术对纹理特征进行线性组合,得到新的纹理特征来进行分类。实验表明,组合后的纹理特征不但提高了纹理分类的性能,而且具有一定的数据自适应能力。     

Supervised neural network recognition of habitat zones of rice invertebrates

This study aimed to evaluate effectiveness and performance of several supervised neural network models and make pattern recognition on invertebrate habitat zones. Probabilistic, general regression, and linear neural networks, and discriminant analysis were used to recognize both known and unknown invertebrate habitat zones. The results showed that neural network models were better than traditional discriminant analysis in the recognition of known habitat zones. There was not distinctive variation in recognition from different neural network models. Sensitivity analysis indicated that the learning rate of the neural network would influence recognized results. An unknown invertebrate species from Lepidoptera was recognized to be soil-dweller (dryland) by both neural network models and discriminant analysis. In sensitivity analysis it was additionally recognized to be the type of plant canopy (terrestrial). Overall the species was estimated to be a soil-dweller (dryland) or live on plant canopy (terrestrial). It was concluded that neural network models can perform better than conventional statistic models in pattern recognition, but a comprehensive comparison among various models is necessary in order to achieve a high reliable recognition and prediction. Furthermore, sensitivity analysis can lead to an in-depth grasp on the mechanism in the recognition and is thus needed.     

南极长城站附近企鹅栖息地粪土沉积地层放射性核素210Pb定年

用γ谱方法测定了南极长城站附近特有生物群落栖息地沉积物中放射性核素含量,地表沉积物中40K,137Cs,210Pb,226Ra,228Ra,228Th.和238U平均比活度,分别为143,7.56,24.1,3.65,5.36,4.15和6.5Bq/kg.同时测试了阿德雷岛企鹅栖息地粪土沉积地层中放射性核素含量,利用其中的210Pb比活度,210Pb_ex垂向变化特征,推演沉积物的沉积速率和地质历史年代:其中AD1-a柱样时间跨度约为74a(1928~2002年),据此计算了沉积速率为0.063mm/a(r=0.794),并讨论了在南极特定条件下,放射性核素示踪对定年影响以及与区域现代气候环境变化的内在联系.     

基于随机森林特征选择的城市绿化乔木树种分类

城市绿化在改善空气、水和土壤质量,吸收和减少二氧化碳及各种污染物,缓解城市热岛和减少雨水径流等方面发挥着重要作用。及时准确地获取树种信息是城市规划与绿化管理的先决条件,对进一步改善城市生态环境也具有重要意义。基于遥感技术,使用高空间分辨率的WorldView-2卫星影像,采用光谱、纹理、指数以及几何等多种特征相结合的面向对象方法,并通过随机森林进行特征选择,对福州大学旗山校区北部的榕树、杧果、香樟、重阳木、羊蹄甲、垂叶榕以及木棉7种主要绿化乔木进行树种分类。实地验证结果表明：通过特征选择可以减少或规避数据冗余以及休斯效应的产生,该方法可以提高现有同类型树种分类的精度,当淘汰全部特征的20%,利用34个特征（包括15个光谱特征、6个纹理特征、8个指数特征和5个几何特征）进行分类时,总精度最高,可达74.95%,Kappa系数为0.67。其中,光谱平均值的特征重要性最高,而各波段的标准差的重要性较低。WorldView-2卫星影像的4个新增波段,特别是黄光和红边波段及其构建的指数特征重要性较高,也说明这些波段在植被遥感,特别是树种分类中极具应用前景。     

钱塘江强潮河段江道缩窄治理研究

对钱塘江强潮河段江道缩窄治理进行研究。首先,回顾治理方案的比选,江道全线缩窄时河轴线线路和河道宽度的确定原则,以及不同河段的指数放宽率。然后,介绍了在涌潮汹涌、滩涂淤坍变化剧烈的强潮河段,实施筑堤所采取的工程措施的步序与要点。最后,分析论证了大规模江道缩窄治理后河床、潮汐、洪水位及涌潮高度等特征值的变化。可供进一步深入理论研究和工程施工参考运用。     

页岩油资源定量评价中关键参数的选取与校正——以松辽盆地北部青山口组为例

页岩油资源评价过程中,常用热解参数(S1)反映含油性。由于实验关系,所测得的S1存在轻烃、重烃的损失,为更准确的对页岩油资源进行定量评价,本文通过有机质成烃动力学研究以及对样品抽提前后的热解参数进行对比,对S1进行轻、重烃补偿校正,获得泥页岩总含油率参数,根据泥页岩排烃门限确定其可动油含量参数(S1/TOC)。研究结果表明,松辽盆地北部青山口组泥页岩S1校正前后相差2~3倍,排烃门限对应的S1/TOC=75mg/g TOC,结合黏土矿物含量(表征可压裂性),优选出页岩油勘探开发有利区:青一段有利区主要集中在齐家古龙凹陷中北部及龙虎泡大安阶地中部,青二、三段集中在龙虎泡大安阶地中部与齐家古龙凹陷中南部。     

基于分级加权法的城镇垃圾填埋场选址评价

城镇垃圾填埋场场址选择受经济、交通、气候、自然地理、环境保护、水文工程地质等诸多因素影响,是一项十分复杂的工程。结合环巢湖地区的实际情况,筛选各影响因子,最终确定符合该地区的评价体系。利用分级加权法进行垃圾填埋场选址评价,将研究区依次划分为适宜区、较适宜区、适宜性差区。根据已有规范对填埋场分区结果的验证,评估方法可行,评价结果合理,为安徽环巢湖地区垃圾填埋场选址提供了可靠的地学依据。     

浅层地震勘探资料处理中的速度分析参数选取

浅层人工地震勘探是当前城市地震活断层探测的主要方法,勘探精度不仅受激发、接收等因素的影响,还与地震数据处理的精度密切相关。速度分析是地震勘探资料处理中的关键环节,它的准确与否对动校正、共深度点叠加、叠后偏移及时深转换等都将产生影响。针对浅层地震资料目的层较浅、叠加次数少和城市背景干扰大等特点,文中对速度分析的参数选取问题进行了研究。首先通过对相邻CDP道集内各接收道炮检距的分析,以及单个和多个CDP道集的对比,提出了用于速度分析的CDP大道集的抽取原则。并通过对不同的CDP大道集、速度扫描间隔、计算时窗长度、动校切除比例等所获得的速度谱的对比分析,对速度谱扫描过程中各参数的选取提出了建议,并对速度分析及时深转换过程中值得注意的问题进行了讨论     

Population dynamics of cryptogenic calcarean sponges (Porifera,Calcarea) in Southeastern Brazil

The calcarean sponge Paraleucilla magna is classified as being an invasive species on the Mediterranean Sea, where it causes economic damages to mollusc farms. On the Brazilian coast, this species is considered to be cryptogenic, and information on its ecology is scarce. The same is true for Sycettusa hastifera, another calcarean sponge with a worldwide distribution. Data on the ecology of these species could help in elucidating their potential to become a threat if they are found to be exotic species in Brazil. In the present work, we studied habitat selection, growth and mortality of early juveniles of P. magna and habitat selection of S. hastifera in a Marine Reserve from Southeastern Brazil, where these species are abundant in the benthic community. Granite plates were used for habitat selection analysis, varying in substrate inclination (vertical and horizontal) and exposure to light and hydrodynamism (exposed and sheltered). To analyse the growth and mortality rates, sponges were mapped and then measured once a week for 10 weeks. If a monitored sponge was not found in the following week, it was considered to be dead. Our results showed that, although P. magna and S. hastifera are capable of inhabiting substrates exposed to different environmental conditions, they showed habitat preferences. Growth of the juveniles of P. magna seemed not to have damaged any neighbouring invertebrates. The mortality of juveniles of this species was higher during the first 2 weeks of life but its causes could not be elucidated.