城市部件数字化调查系统的研究与实现

城市部件是城市经济、社会活动的基本载体,是真正属于城市的不可移动的要素,对其进行数字化管理也是城市地理信息系统的重要组成部分.在此探讨了城市部件数字化调查系统的必要功能,详细阐述了城市部件编码方法,并且以丽水市城市部件调查为例介绍城市部件数字化调查系统的应用.     

基于地性线分级的DEM信息量计算方法研究

主要对基于DEM提取的地性线进行信息量的定量分析,探讨地性线的信息量与分辨率、地形单元的关系。这个过程中首先利用河网的自相似理论研究与当前DEM所代表的地貌详细程度相适宜的地性线提取的阈值区间,并讨论此阈值下地性线的分级,以此为基础通过以该分级为权重进行DEM地形信息量的计算。实践证明,这种顾及地性线等级的DEM信息量计算方法能较准确地反映地性线的分布规律和不同等级的要素造成的信息量度量差异。     

信息量与相似度约束下的网络地图服务缩略图自动生成算法

缩略图可显著提高图片和视频等图形图像资源的展现效率,有效改善信息检索过程中的用户体验。地图服务是一种耦合空间和尺度信息的图像资源,其设计创作、检索筛选和存储管理均需要缩略图的支撑。设计精巧的缩略图带给人良好、鲜活的第一印象,帮助用户实现高效的交互与探索;粗糙凌乱的缩略图则让用户产生抵触情绪,打消其继续探索地图服务的主动性。本文借鉴视频关键帧的思路并结合地图表达特点,提出了地图服务关键位置和关键尺度的概念,并设计了相应的量化指标和提取算法,重点解决了缩略图视觉效果不佳、地图信息量不足和自动化程度不高等问题。算法基于信息量识别地图中内容丰富的关键位置,然后利用跨比例尺相似度判断发生显著变化的关键尺度,最后自动筛选出若干张代表地图服务内容的缩略图。试验表明本方法提取的缩略图数量适中、内容丰富、代表性强,可高度还原地图服务的内容构成和外观样式。     

Upper Holocene sea-level changes: Paleogeographic evolution and its impact on coastal archaeological sites and monuments

The paper presents the evolution of the geographic environment imposed by sea-level changes in selected sites of the Aegean Sea region during the Upper Holocene. The changes are due, mainly, to paroxysmic phases of the actual neotectonic evolution and to differential—in time and space—block movements, and emerged or submerged coasts. The reconstitution of these coasts is presented and, in some cases, natural harbor morphology is revealed. The use and evolution of these sites is discussed. Other sites concern coastal or inland ancient settlements or constructions affected by submersion by the sea, by the rise of the groundwater table, or by uplift movements. A general discussion on engineering measures to be applied for protection of the antiquities affected by these geographic changes closes the presentation.     

交通地理信息系统中的时空动态分段模型研究

动态分段技术是交通地理信息系统(GIS-T)中一项重要的线性要素动态显示与分析技术,该文提出了一种时空动态分段模型,使动态分段系统的组成成分融入时态因素,并将属性的时态信息作为属性信息表的字段存储,通过时态地理信息系统技术完成物理段的时态变化。利用统一建模语言(UML)的类图设计方式开发了物理模型,描述了时空动态分段模型中对象之间的关系,并定义了必要的属性和操作;同时基于线性参照系统(LRS)表达空间实体的方法,概括了模型中所涉及到的主要拓扑关系。实验表明,时空动态分段模型弥补其他模型将时空参考分为时间参考和空间参考所产生的不足,而且更明确地将多重属性和物理实体有机结合起来。     

Sea Level Prediction in the Yellow Sea From Satellite Altimetry With a Combined Least Squares-Neural Network Approach

Accessible high-quality observation datasets and proper modeling process are critically required to accurately predict sea level rise in coastal areas. This study focuses on developing and validating a combined least squares-neural network approach applicable to the short-term prediction of sea level variations in the Yellow Sea, where the periodic terms and linear trend of sea level change are fitted and extrapolated using the least squares model, while the prediction of the residual terms is performed by several different types of artificial neural networks. The input and output data used are the sea level anomalies (SLA) time series in the Yellow Sea from 1993 to 2016 derived from ERS-1/2, Topex/Poseidon, Jason-1/2, and Envisat satellite altimetry missions. Tests of different neural network architectures and learning algorithms are performed to assess their applicability for predicting the residuals of SLA time series. Different neural networks satisfactorily provide reliable results and the root mean square errors of the predictions from the proposed combined approach are less than 2?cm and correlation coefficients between the observed and predicted SLA are up to 0.87. Results prove the reliability of the combined least squares-neural network approach on the short-term prediction of sea level variability close to the coast.     

The Huelva (Spain) Tsunami-Ready Station and Its Interaction with Storm Emma (March 2018)

Abstract

The sea level station operating since 1996 at Mazagón (Huelva, Spain) has been progressively upgraded to fit tsunami warning requirements, due to its location in one of the main regions at risk. Its radar water level sensor was complemented in 2017, with the addition of a pressure sensor. The performance of both sea level sensors and their response to sea level oscillations, at different frequencies, is assessed. Particular emphasis is put on the effect of extreme events, such as Storm Emma, when alternative methods to obtain 1-min data are tested, in contrast to the one based on arithmetic means. The overall differences are small, for the whole period of study (centered-root-mean-square-error below 1?cm, for 5-min, and hourly data; similar tidal parameters and sea level oscillations with periods between 30?s and 5?min). However, during Storm Emma, the pressure sensor presents sensibly lower readings than the radar, with the centered-root-mean-square-error rising to 80?mm on the March 2^nd 2018. A new method to compute 1-min data, based on medians, reduced this value to 10?mm for the same day.     

地理信息科学专业“地图投影”课程教学改革与实践

文章通过分析地理信息科学专业的特点,结合中国矿业大学地理信息科学专业"地图投影"课程教学改革,从教学内容的选取、教学方法的选择、考核方式的改革三个方面论述了地图投影教学与改革的方法。结合专业特点选择教学内容,注重动手能力的培养,强调互动教学与直观教学,结果表明,通过教学改革,激发了学生学习的主动性,提高了学习的兴趣性,教学效果良好。     

国际标准电子海图显示中几个关键技术的实现

针对我国建立基于标准电子海图显示信息系统(ECDIS)的关键技术问题,提出了相应的解决方案,包括自主知识产权的国际标准电子海图显示平台,符合国际海道测量组织(IHO)颁布的S-57、S-52和国际海事组织(IMO)颁布的(A)817、(A)694的数字海图显示标准。     

太阳黑子和ENSO对日本吉野川流域水文要素影响

剖析"太阳-气候-水资源"体系作用机制对区域水资源科学管理具有重要科学意义。利用相关分析、主成分分析和小波分析方法,探究太阳黑子运动和厄尔尼诺（ENSO）对日本吉野川流域降雨、地表径流和地下水位影响。研究结果表明:太阳黑子活动和ENSO对研究区域水文过程显著影响分别发生在11 a和2~7 a周期上;太阳黑子运动能量以ENSO为"媒介"作用于流域降水和河川径流,但对地下水位波动影响不明显;太阳黑子活动在不同时频域对研究区域水文过程产生"直接"和"间接"影响,太阳黑子的"直接"影响可能通过调制ENSO外的气候模态来实现,其"间接"作用则通过"ENSO-西太平洋副高-东亚环流-水汽运动"系统作用实现。