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基于RIA和Skyline的城市风暴潮灾害三维展示系统 被引量:1
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作者 袁小华 郑宗生 +1 位作者 金永福 黄冬梅 《计算机应用与软件》 CSCD 北大核心 2012年第1期109-112,共4页
风暴潮灾害展示系统可为城市风暴潮灾害辅助决策提供可视化场景和数据应用支持,现有风暴潮灾害系统功能简单,开发技术陈旧。为满足城市风暴潮灾害辅助决策对二维和三维数据展示与分析的需求,依据跨平台、富用户体验和技术新颖的建设目的... 风暴潮灾害展示系统可为城市风暴潮灾害辅助决策提供可视化场景和数据应用支持,现有风暴潮灾害系统功能简单,开发技术陈旧。为满足城市风暴潮灾害辅助决策对二维和三维数据展示与分析的需求,依据跨平台、富用户体验和技术新颖的建设目的,设计了城市风暴潮灾害三维展示系统,并以上海浦东新区临港新城数据为例实现了系统应用。介绍城市风暴潮灾害三维展示系统的功能,基于ArcGIS、Skyline TerraSuite、Flex和Java的系统技术框架与建设流程,以及针对三维建模与展示、二维与三维联动及富客户体验等关键问题的解决方案,为城市风暴潮灾害辅助决策相关系统开发提供参考。 展开更多
关键词 城市风暴潮灾害展示系统 富互联网应用程序 FLEX SKYLINE
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广东科学中心灾害剧场概念设计
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作者 易和 张季超 +1 位作者 陈大宾 郭曼丽 《建筑技术》 北大核心 2011年第3期266-268,共3页
广东科学中心常设展厅中设有灾害剧场,该剧场针对地震、火山爆发、海啸、龙卷风、洪水、泥石流、雷电等11种常见灾害,利用高科技手段进行展示。提供不同模拟平台使参观者体验灾害现场,并展示人类防灾减灾成果,以提高群众的应急防御能力。
关键词 广东科学中心 灾害展示 防灾减灾
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Comparative evaluation of geological disaster susceptibility using multi-regression methods and spatial accuracy validation 被引量:14
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作者 蒋卫国 饶品增 +2 位作者 曹冉 唐政洪 陈坤 《Journal of Geographical Sciences》 SCIE CSCD 2017年第4期439-462,共24页
Geological disasters not only cause economic losses and ecological destruction, but also seriously threaten human survival. Selecting an appropriate method to evaluate susceptibility to geological disasters is an impo... Geological disasters not only cause economic losses and ecological destruction, but also seriously threaten human survival. Selecting an appropriate method to evaluate susceptibility to geological disasters is an important part of geological disaster research. The aims of this study are to explore the accuracy and reliability of multi-regression methods for geological disaster susceptibility evaluation, including Logistic Regression(LR), Spatial Autoregression(SAR), Geographical Weighted Regression(GWR), and Support Vector Regression(SVR), all of which have been widely discussed in the literature. In this study, we selected Yunnan Province of China as the research site and collected data on typical geological disaster events and the associated hazards that occurred within the study area to construct a corresponding index system for geological disaster assessment. Four methods were used to model and evaluate geological disaster susceptibility. The predictive capabilities of the methods were verified using the receiver operating characteristic(ROC) curve and the success rate curve. Lastly, spatial accuracy validation was introduced to improve the results of the evaluation, which was demonstrated by the spatial receiver operating characteristic(SROC) curve and the spatial success rate(SSR) curve. The results suggest that: 1) these methods are all valid with respect to the SROC and SSR curves, and the spatial accuracy validation method improved their modelling results and accuracy, such that the area under the curve(AUC) values of the ROC curves increased by about 3%–13% and the AUC of the success rate curve values increased by 15%–20%; 2) the evaluation accuracies of LR, SAR, GWR, and SVR were 0.8325, 0.8393, 0.8370 and 0.8539, which proved the four statistical regression methods all have good evaluation capability for geological disaster susceptibility evaluation and the evaluation results of SVR are more reasonable than others; 3) according to the evaluation results of SVR, the central-southern Yunnan Province are the highest sus-ceptibility areas and the lowest susceptibility is mainly located in the central and northern parts of the study area. 展开更多
关键词 geological disaster susceptibility multi-regression methods geographical weighted regression sup-port vector regression spatial accuracy validation Yunnan Province
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