Hu Wang, W. Liu, Xiaofei An, Jun Wang, Zhenlou Chen
{"title":"Development of generic technology service platform for urban black-odor river treatment","authors":"Hu Wang, W. Liu, Xiaofei An, Jun Wang, Zhenlou Chen","doi":"10.1109/GEOINFORMATICS.2011.5980822","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980822","url":null,"abstract":"The existence of urban black-odor rivers is a common phenomenon in Chinese cities. With the pursuing of residents for a high quality life, the improvement of the black-odor phenomenon of rivers becomes a serious problem. Currently, although there are various types of treatment technologies for urban black-odor rivers, we are still lack of an orderly and comprehensive technology inquiry service platform. In this paper, we developed a generic technology services platform for urban black-odor river treatment. The main functions of the platform are as follows: generic technology inquiry, demonstration and services, performance evaluation and data update. All these functions are committed to provide technical support for decisions.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"42 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":"128532211","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}
{"title":"Integrating location quotient, local Moran's I and geographic linkage for spatial patterning of industries in Shanghai, China","authors":"Jing Feng, M. Ji","doi":"10.1109/GEOINFORMATICS.2011.5980854","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980854","url":null,"abstract":"Metropolitan areas serve as centers of innovation and modernization for future development in China. Urban industrial structures are important research subjects in economic geography and industrial economics. Conventional studies have relied on aggregated population and employment data to construct indices of industrial spatial structures. This paper aims to reveal the spatial pattern using the establishment (point) data of various industries within each block in Shanghai from three perspectives. Location quotient, local spatial autocorrelation analysis, and the coefficient of geographical linkage were applied to investigate point patterns and inter-industrial spatial associations. The comparative analysis of spatial pattern on industries in urban and suburban areas was performed to discuss the development density of industries and the spatial relationship of establishments in different districts and industries. This empirical study may provide some useful findings to relevant decision makers for urban planning and allocation of urban industries.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"52 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":"128617448","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}
Junkui Zhang, Junyan Zhao, Siqi Jia, Qi Li, Shuai Liu
{"title":"A method to estimate the spatial distribution of transport carbon emissions in Shanghai","authors":"Junkui Zhang, Junyan Zhao, Siqi Jia, Qi Li, Shuai Liu","doi":"10.1109/GEOINFORMATICS.2011.5980965","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980965","url":null,"abstract":"According to the fourth assessment report of IPCC (Intergovernmental Panel on Climate Change), global warming owns more than 90% to human activities. And quantification of human-induced CO2 emission at fine space and time resolution has a critical need in carbon cycle and climate change research. Carbon emission from urban traffic caused by burning fossil fuels is a key source in the process of urbanization during the past 10 years. Therefore, exploring the spatial distribution of urban transport carbon emission at finer space-time resolution will benefit a lot for regional carbon cycle and carbon mitigation. In this paper, based on real-time data collected by Intelligent Transportation System (ITS), we contrived a relatively simple, inexpensive and accurate method through traffic flow theory and traffic emission model to estimate regional spatial distribution transport carbon emission. The experiment result in Shanghai indicated that the method is applicable between accuracy and cost.","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":"128673781","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}
Biao Deng, Yueping Nie, Changlin Wang, S. Lei, Rong Li
{"title":"Google Earth and GIS applications to the third national survey of cultural relics in Xinjiang","authors":"Biao Deng, Yueping Nie, Changlin Wang, S. Lei, Rong Li","doi":"10.1109/GEOINFORMATICS.2011.5981005","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5981005","url":null,"abstract":"Now Geographical Information System (GIS) and Google Earth (GE) have become increasingly popular within archaeological research contexts. GIS allows to contain and to store, manage and represent the archaeological data, following the different phases of archaeological research. GE uses high resolution satellite images of the entire planet to allow the archaeologists to find archaeological marks and view the sites from different perspectives. This paper demonstrate our work that integrate use of GE and GIS for the third national survey of cultural relics in Xinjiang, showing that the method proposed is effective and practical.","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":"129339848","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}
{"title":"Applying GPU and POSIX thread technologies in massive remote sensing image data processing","authors":"Yuehu Liu, Bin Chen, Hao Yu, Yong Zhao, Zhou Huang, Yu Fang","doi":"10.1109/GEOINFORMATICS.2011.5980671","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980671","url":null,"abstract":"Since the introduction of CUDA (Compute Unified Device Architecture), GPU (Graphics Processing Unit) was used in various fields rapidly. Some researchers used the GPU computing technology in remote sensing image processing, and revealed that one hundred times speedup could be obtained. Current GPU-based approaches need to load all the image data at a time prior to image processing. However, the current computer memory and GPU memory are limited, and are not big enough for loading the remote sensing image data which are always massive. Hence, current GPU-based image processing approaches cannot be directly applied in remote sensing image processing. Under this situation, this paper proposes a dual-parallel processing mechanism, which is based on GPU and POSIX thread technologies, in massive remote sensing image data processing. Experimental results illustrate that our methodology can not only deal with massive remote sensing image data, but also improve the processing efficiency greatly.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"23 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":"127238018","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}
{"title":"Virtual garden museum system of Zhuozhengyuan","authors":"Chaoyang Fang, Jian Xu, Ying Xu","doi":"10.1109/GEOINFORMATICS.2011.5981001","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5981001","url":null,"abstract":"Based on virtual simulation platform, taking the virtual reality and three-dimensional simulation technique as the core technology, and using the entire digital photogrammetry, GIS, multimedia information and web network technology, this paper puts forward the technique by which we can set up a three-dimensional virtual scene of garden museums with Zhuozhengyuan virtual garden museum as an example. The results show that this virtual scene will have many advantages in terms of virtual fidelity, simulation results, running efficiency and human computer interaction. This research combines virtual reality technique with art of garden, and provides a new idea to build digital museum.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"10 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":"127275308","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}
{"title":"The preliminary application of WebGIS in assessing environmental impact on human health","authors":"Mingxi Peng, Runkui Li, Xiaoyong Cui, Wenjun Ding, Xinfeng Zhao","doi":"10.1109/GEOINFORMATICS.2011.5980742","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980742","url":null,"abstract":"Environmental impact assessment is usually a necessary procedure to evaluate the impacts of a project on its surrounding media before the construction started. However, assessment of the final environmental impact on human health is usually lacked during the evaluation process in China. This paper demonstrated a web based GIS system that consists of twofold, which can aid health assessment: 1) a database of heavy metal project information was constructed based on ArcGIS Server and MS ACCESS; 2) taking the lead pollution risk on children for an example, we incorporated the Integration Exposure Uptake Biokinetic Model (IEUBK) which was approved by US EPA into a network version, and then to determine the parameters for dietary intake, inhalation and skin contact in different regions in China. The preliminary application of GIS in environmental health impact assessment tentatively lays the foundation for predicting health risks of heavy metal pollution from projects before construction.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"32 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":"127330129","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}
{"title":"GIS-based analysis on the region eco-security pattern: A case of Changting County in Fujian province, China","authors":"Huihua Lin, Guosheng Wu, Hejian Zhu","doi":"10.1109/GEOINFORMATICS.2011.5980867","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980867","url":null,"abstract":"Land use/cover changes (LUCC) are the study key of global environmental change and eco-security. The paper uses GIS technique to detect the dynamics of land use and soil erosion, and the method of ecological service assessment to evaluate the eco-security status, and adopts a landscape approach to quantify changes of eco-security pattern in Changting County from 1988 to 2007. The results show that the ecological service values increased 2.60×108 Yuan between 1988 and 2000, but lost about 1.06×108 Yuan between 2000 and 2007. The proportion of eco-security level at stability, comparatively safe and safe decreased from 81.06% to 80.00%, which means the status of eco-security in study region has deteriorated. The change of patch pattern indexes indicated the downtrend of eco-security level in the study region.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"9 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":"129083195","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}
{"title":"Design and realization of the traffic police mobile office system based on Android","authors":"Tun Wang, Jing Zhang, Luqi Li, Jia Jin","doi":"10.1109/GEOINFORMATICS.2011.5980716","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980716","url":null,"abstract":"With the increasement of the city vehicles, the problems of traffic accidents, traffic offense and congestion in city become more and more serious. However, the number of the traffic police is limited, so the former ways of working, such as traffic patrol and working at regular places, cannot effectively solve the problems above any more. Through the analysis of the large working scale and mobility characteristic of the traffic police working, the research designed and realized the mobile office system, which could effectively learn the traffic jam situation and solve the jam problem. The system can also effectively collect the information of the traffics, deal with the traffic accidents and traffic offense which could greatly improve the work efficiency of the traffic police.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"28 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":"130607659","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}
{"title":"Extraction of the corn planting area based on multi-temporal HJ-1 satellite data","authors":"Jun Liu, Q. Tian, Y. Huang, L. Du, Ling Wang","doi":"10.1109/GEOINFORMATICS.2011.5981124","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2011.5981124","url":null,"abstract":"Crop planting area is significant to agricultural structure adjustment and regional food balance policy. Based on field investigation and spectral property analysis of corn in HJ1-CCD images, different threshold configurations are set to build decision trees and corn planting area is precisely extracted utilizing multi-temporal HJ-1 CCD images in Zhecheng county, Henan Province of China. Both statistical planting area data from government and that extracted from Landsat TM images are deployed for evaluation and the results give an accuracy of 99.36% and 91.34%, respectively. It demonstrated that HJ1-CCD images are potentially good data source for crop planting area extraction.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"4 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":"130965795","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}