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3D Dynamic modeling and interactive query of underground roadway 地下巷道三维动态建模与交互查询
2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5980802
Mei Li, Shanjun Mao, Heng Wang, Bentao Lu
{"title":"3D Dynamic modeling and interactive query of underground roadway","authors":"Mei Li, Shanjun Mao, Heng Wang, Bentao Lu","doi":"10.1109/GEOINFORMATICS.2011.5980802","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980802","url":null,"abstract":"A novel approach of 3D coalmine roadway dynamic modeling and interactive query taking roadway geological feature into account was discussed in this paper. Adding the geological layers, coal seams and coal quality data into the roadway model, the traditional 3D roadway geometric model turns to be a 3D model displaying the inner geological structure and the rich attribute information. The paper presented the research method and several key algorithms. By using Constrained Delaunay Triangulation algorithm (CD-TIN) and Complex Polygon Triangulation algorithm, the geometric model and attribute model of underground roadway was built dynamically. A 3D object picking algorithm using 3D Ray was also used to get x, y, z a coordinate in the 3D VR scene. Based on 3D coordinate, coal quality information or geological structure of any position on the roadway in the 3D scene was computed and visibly displayed. Finally, these algorithms were applied for a visualization system called “3D coal quality query VR system”. The methods, with advantages of dynamic and easy to maintenance, offered a useful tool for coal quality management and safety production management in coal mine.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133130376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Effects of spatial scale on distributed flood simulation based on HEC-HMS model: A case of Jinjiang watershed, Fujian, China 空间尺度对基于HEC-HMS模型的分布式洪水模拟的影响——以福建晋江流域为例
2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5980795
Fen Chen, Jianbin Xie, Xing-wei Chen
{"title":"Effects of spatial scale on distributed flood simulation based on HEC-HMS model: A case of Jinjiang watershed, Fujian, China","authors":"Fen Chen, Jianbin Xie, Xing-wei Chen","doi":"10.1109/GEOINFORMATICS.2011.5980795","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980795","url":null,"abstract":"Taking Jinjiang watershed of Fujian province in China as study area, this work examines the effects of DEM resolutions, ranging from 30m to 600m, on Nash efficiencies of rainstorm flood simulation based on HEC-HMS model. Another focus is the influence of sub-basin division on flood simulation results. The study indicates that, with the decreasing of DEM resolution, basin slope, among other parameters such as basin evaluation and river length, etc., is most sensitive to the change of DEM resolution. In general, the Nash efficiency would drop down if DEM resolution decreases while other parameters held constant. DEM resolution at 150m appears to play a role of critical and optimal scale. Being based on 30m DEM resolution, it is found that the change of divided sub-basin number only slightly affects the results of flood simulation.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133159544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Risk assessment and regionalization of natural disaster of corn in China based on GIS 基于GIS的中国玉米自然灾害风险评估与区划
2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5981047
Jintao Zhao, Jing'ai Wang, Yongdeng Lei, Xiaoyun Huang
{"title":"Risk assessment and regionalization of natural disaster of corn in China based on GIS","authors":"Jintao Zhao, Jing'ai Wang, Yongdeng Lei, Xiaoyun Huang","doi":"10.1109/GEOINFORMATICS.2011.5981047","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5981047","url":null,"abstract":"With the spatial statistical function of the GIS, the index system, composed of the stability of hazard-formative environments, the hazard of disaster-making factors, the vulnerability of hazard-affected bodies and the disaster-resistant capacity, was constructed based on the Disaster System Theory and the Chinese Nature Disaster Database. The assessment and the regionalization of the integrated natural disaster risk of Chinese corns were accomplished by using the GIS spatial analysis. The results indicated that the natural disaster risk of corns in China can be divided into ten regions, which can be a scientific basis for the agricultural disaster risk management and the corn insurance regionalization in China.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133761621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Major function oriented zone planning and land use management with 3S technologies 主要功能区规划和土地利用3S技术管理
2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5980768
Yongmei Liu, Qian Li, Jingwei Sun
{"title":"Major function oriented zone planning and land use management with 3S technologies","authors":"Yongmei Liu, Qian Li, Jingwei Sun","doi":"10.1109/GEOINFORMATICS.2011.5980768","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980768","url":null,"abstract":"The basic task of Major Function Oriented Zone (MFOZ) is to optimize the structure of national land use. The research is concentrated on the process of applying 3S technologies. Based on the analysis of the need, identity, and content, we investigate the theory foundation and appliance of various 3S technologies, including database, model-base, spatial analysis, spatial multi-criteria decision, cellular automaton, during the coordination of MFOZ planning and land use management from different aspects. These aspects include data acquirement, integration management, spatial evaluation, partition and coordination of different areas, assistant decision and intelligent appliance. Especially, the research focuses on the systematic analysis of the appliance of 3S technologies to realize the guiding macro-function of MFOZ and exert the adjusting function of land use in order to provide a technical reference for land use and management based on MFOZ planning.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133829544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Method for the early warning of shallow landslides in Sichuan province, China 四川浅层滑坡早期预警方法研究
2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5981059
Xiaoxuan Li, D. Hu, Ting Liao, Yangsiqi Chen
{"title":"Method for the early warning of shallow landslides in Sichuan province, China","authors":"Xiaoxuan Li, D. Hu, Ting Liao, Yangsiqi Chen","doi":"10.1109/GEOINFORMATICS.2011.5981059","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5981059","url":null,"abstract":"Regional precipitation-induced landslide is one of the major geologic hazards in our country, which features large areas of damage, simultaneity, sudden breakout and serious consequences. Especially in Sichuan province where has happened earthquake, tectonic changed, secondary disasters happened very frequently. It is essential to carry out the research into the forecast and early warning of precipitation-induced landslide at the beginning of the national campaign launched for the geologic hazard weather forecast and early warning. Sichuan province was chose as study area, remote sensing image and actual statistics was basic material, combined the rainfall data, analysis the relationship of spatial and temporal distribution of landslide and rainfall comprehensively, the sensitivity of shallow landslide in Sichuan and the critical value of rainfall that induced landslides was determined. And simulate prediction was made, the time was July 17, 2009. The whole method was practical and feasible, scientific basis could be provided for prevention and mitigation.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115461215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Using remote sensing and GIS to analyze land use/cover change and urban expansion in Xining City of Qinghai province, China 基于遥感和GIS的青海省西宁市土地利用/覆被变化与城市扩张分析
2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5980840
Xiaohong Gao, Shichao Feng, Jiangrong Kang, Guoliang Wu, Lifeng Guo, Changhe Zou, Junjun Yang, Yanjiao Zhang
{"title":"Using remote sensing and GIS to analyze land use/cover change and urban expansion in Xining City of Qinghai province, China","authors":"Xiaohong Gao, Shichao Feng, Jiangrong Kang, Guoliang Wu, Lifeng Guo, Changhe Zou, Junjun Yang, Yanjiao Zhang","doi":"10.1109/GEOINFORMATICS.2011.5980840","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980840","url":null,"abstract":"Four dates Landsat MSS, TM and ETM+ images together with historical topographic maps, land use maps were used to analyze and quantify the temporal dynamics and spatial pattern of land use/cover changes and identify the urban expansion in Xining city, northwest China. The results indicated that from 1977 to 2007, the areas of cultivated land, grassland and unused land decreased by 3.31%, 1.1% and 0.19%, respectively; in contrast, forest land, urban/built-up land increased by 3.8% and 0.75%, respectively. The significant change in land use occurred mainly during the period of 2000 and 2007. Urban area of Xining City had been expanded by 29.25ha over the entire study period, while 64.82% of an increase occurred during the seven-year period from 2000 to 2007. The conversion of cultivated land to forest land, to grassland for ecological protection and urban expansion at the expense of cultivated land were the main land use change.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115559579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Spatial structure of excellent tourism resources in Suzhou, China: A GIS-based approach 基于gis的苏州优秀旅游资源空间结构研究
2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5980935
Fajian Liu, Jiekuan Zhang, Hong-lei Zhang, Dongdong Chen
{"title":"Spatial structure of excellent tourism resources in Suzhou, China: A GIS-based approach","authors":"Fajian Liu, Jiekuan Zhang, Hong-lei Zhang, Dongdong Chen","doi":"10.1109/GEOINFORMATICS.2011.5980935","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980935","url":null,"abstract":"Scientific analysis of regional tourism resources is an important task of tourism planning. Its spatial distribution has determined the direction of tourism development to a certain extent, thus it is vital to reveal the spatial features of tourism resources by the GIS method, which possesses excellent spatial analysis function. This paper used NNI, mean center, standard distance, and standard deviational ellipse to analysis excellent tourism resources of Suzhou. It comes to the conclusions that :(1) the excellent resources shows clustering pattern totally; (2) Grade 5 human tourism resources exhibited the most clustering in the ancient city of Suzhou, rather than others; (3) this spatial structure both had advantages and disadvantages to Suzhou tourism development. This paper reveals the spatial clustering and spatial distribution of eminent tourism resources in Suzhou, in order to give good advice to the scientific planning and balanced development in future.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115783344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Intra- and inter-annual changes of sea ices in the Liaodong Bay 辽东湾海冰的年际和年内变化
2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5980953
Shibo Zhu, Z. Chu, Lianjie Zhang, Xiao Xiao, Qian Zhao
{"title":"Intra- and inter-annual changes of sea ices in the Liaodong Bay","authors":"Shibo Zhu, Z. Chu, Lianjie Zhang, Xiao Xiao, Qian Zhao","doi":"10.1109/GEOINFORMATICS.2011.5980953","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980953","url":null,"abstract":"The Liaodong Bay is the northernmost part of China's seas, and sea ices are often seen there in cold winter, which strongly affect the development of marine economy, maritime transportation, and offshore fishery. The temporal and spatial changing patterns of sea ices in the Liaodong Bay were primarily examined with Landsat remote sensing images totaling 20 scenes. The results show that sea ices in the Liaodong bay are seasonal and the largest coverage of sea ices almost appear in January or February each year. The areas of sea ices show cyclical features of about 4–5 years. The sea-ices area at cycle peaks tended to increase, suggesting that winter weather at cycle peaks became colder in the past years. The general fate of sea ices in the Liaodong Bay was summarized. The results are helpful to predicting and better understanding the evolution of sea ices in the Liaodong Bay.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114766574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Detection of land cover change in Beijing from TM images 基于TM影像的北京市土地覆盖变化检测
2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5980805
G. Cai, Mingyi Du, Yang Liu
{"title":"Detection of land cover change in Beijing from TM images","authors":"G. Cai, Mingyi Du, Yang Liu","doi":"10.1109/GEOINFORMATICS.2011.5980805","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980805","url":null,"abstract":"This paper focuses on the detection of land cover change in Beijing using TM data collected on 22 May, 2002 and 20 May, 2010 respectively. For detailed analyzing the land cover change in different parts of Beijing, the central Beijing enclosed by fifth ring road was divided into 4 areas based on the ring roads. After image registration, mask and image clip, sample data of land cover types as water body, green land, bare land and construction land were trained, classification was performed using maximum likelihood method. Accuracy assessment was conducted according to ground truth of regions of interest. The conversion matrix was used to detect the land cover change from 2002 to 2010. The results showed that construction land increased in each area, and other land cover types decreased, especially for green land which diminished a lot during this period. This is consistent with the real status of the urbanization in Beijing.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114768149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Drought disaster risk assessment and mapping at different scales based on RS and GIS 基于RS和GIS的不同尺度干旱灾害风险评估与制图
2011 19th International Conference on Geoinformatics Pub Date : 2011-06-24 DOI: 10.1109/GEOINFORMATICS.2011.5980770
Dan Fang, Zhuowei Hu, Zhiheng Wang, G. Duan
{"title":"Drought disaster risk assessment and mapping at different scales based on RS and GIS","authors":"Dan Fang, Zhuowei Hu, Zhiheng Wang, G. Duan","doi":"10.1109/GEOINFORMATICS.2011.5980770","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980770","url":null,"abstract":"Risk assessment is significant for prevention and resilience of drought disaster. In the process of assessment, different spatial scales must have different focuses, and the method should be different. This paper uses the method that combines the national scale and regional scale risk assessment to monitor and analyze Chinese drought disaster risk in winter of 2010. The work flow is: firstly, the national drought risk model is used to evaluate national drought risk; next, we can choose AOI (Area of Interest) from the result, with analysis of the characteristics of the high risk regions, the regional model can be used for regional assessment of these regions. The result is mostly consistent with the actual situation. It is shown that the method can identify the high risk areas quickly and accurately, and improve the disaster assessment efficiency for relative department.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114660549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
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