[1]孙伟,曹姗姗,侯瑞霞*,等. 近60年中国沙尘暴灾害风险因子时空信息服务研究[J].西北林学院学报,2015,30(02):158-165.[doi:doi:10.3969/j.issn.1001-7461.2015.02.28]
　SUN Wei,CAO Shan-shan,HOU Rui-xia*,et al. Spatio-temporal Information Service of Sandstorm Disaster Risk Factor Data in China during the Last 60 Years[J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2015,30(02):158-165.[doi:doi:10.3969/j.issn.1001-7461.2015.02.28]
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 近60年中国沙尘暴灾害风险因子时空信息服务研究()
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《西北林学院学报》[ISSN:1001-7461/CN:61-1202/S]

卷:
第30卷
期数:
2015年02期
页码:
158-165
栏目:
出版日期:
2015-03-30

文章信息/Info

Title:
 Spatio-temporal Information Service of Sandstorm Disaster Risk Factor Data in China during the Last 60 Years
文章编号:
1001-7461(2015)02-0158-08
作者:
 孙伟1; 曹姗姗2; 侯瑞霞2*; 唐小明2
 （1.新疆农业大学 计算机与信息工程学院，新疆 乌鲁木齐 830052；2.中国林业科学研究院 资源信息研究所，北京 100091）
Author(s):
 SUN Wei1;  CAO Shan-shan2;  HOU Rui-xia2*;  TANG Xiao-ming2
 (1. College of Computer and Information Engineering, Xinjiang Agricultural University, Urumqi, Xinjiang 830052, China; 2.Research Institute of Forest Resources Information Techniques, Chinese Academy of Forestry, Beijing 100091, China)
关键词:
 ; 沙尘暴;  灾害风险因子;  WebGIS;  时空信息;  Web服务
Keywords:
 ; sandstorm; disaster risk factor; WebGIS; spatio-temporal information; web service
分类号:
S126
DOI:
doi:10.3969/j.issn.1001-7461.2015.02.28
文献标志码:
A
摘要:
 针对沙尘暴灾害研究中存在的多专题、多时相、多层次海量数据管理与分析的共性问题，研究基于时空数据模型有效组织了近60 a中国沙尘暴灾害风险因子数据，利用层架构模式设计了沙尘暴灾害风险因子管理系统的体系结构，以地统计和空间分析理论为基础提出了沙尘暴气象因子专题制图方法，通过瓦片式地图技术构建了沙尘暴大数据量高性能瓦片地图服务，综合应用WebGIS理论与技术设计并实现了系统主要功能。典型应用案例分析表明，该系统的构建方法与技术在提供沙尘暴灾害风险时空数据的高效管理服务和辅助决策信息服务方面是切实有效的。
Abstract:
 In order to solve common problems existed in the management and analysis of spatio-tamporal massive data in sandstorm disaster research while carrying out multi-theme, multi-level and multi-temporal investigation, data of sandstorm disaster risk factor in China nearly 60 years (1951-2009) were effectively organized by utilizing the spatio-temporal data model Geodatabase, and the system structure of the information management system of sandstorm disaster risk factor (IMS-SDRF) was designed based on the tier architecture model. Furthermore, a sandstorm weather factors spatio-temporal distribution thematic mapping method was put forward according to the geo-statistics and space analysis theories in GIS, and the high-performance tile map services of sandstorm massive data were constructed by using the tile map technology. Finally, the main functions of the IMS-SDRF were designed and developed based on the comprehensive application of WebGIS theory and technology. And the typical application case analysis showed that the IMS-SDRF was feasible and effective in the efficient management and assistant decision information services of sandstorm disaster risk spatio-temporal data.

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备注/Memo

备注/Memo:
 收稿日期：2014-05-29修回日期：2014-09-04
基金项目：国家林业公益性行业科研专项“林业资源多层次信息服务技术研究”（201304215）。
作者简介：孙伟，男，博士，研究方向：林业GIS开发与应用、海量数据存储与智能分析。E-mail：maplesunw@gmail.com
*通信作者：侯瑞霞，女，博士，助理研究员，研究方向：GIS在林业中的应用、数据管理与建模。E-mail：hrx2004126@126.com
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