{"title":"灾害管理中的开源Web GIS解决方案-特别强调内陆过量水建模","authors":"L. Juhász, Ádám Podolcsák, János Doleschall","doi":"10.1515/jengeo-2016-0003","DOIUrl":null,"url":null,"abstract":"Abstract In recent years, the increased frequency of inland excess water in the Carpathian Basin gets more and more attention. The authors developed a web based pilot application for disaster management, with special emphasis on inland excess water hazard management. Free and open source software was used to generate a model, and our work was based on Web GIS standards (OGC), which makes further development possible. The developed Web GIS application provides functions to support the data collection regarding channels and ditches, and on-line hydrological analysis based on OGC Web Processing Services (WPS). Hydrological analysis aims to visualize the areas potentially at risk, depending on different precipitation quantities and various values of influencing factors. In order to run the prototype a sample data set was gathered including reference maps, technical parameters and current condition of canals and ditches. The methodology of crowdsourcing can produce valuable Volunteered Geographic Information (VGI) that can fulfill the data requirements of disaster management applications. The prototype supports Crowdsourcing in the following aspects: free user access to the system’s analysis functionality, stakeholders may digitize the position of ditches, modify the status of the existing ditch system according to current conditions and add or modify parameters relevant for the analysis. The application demonstrated the usability of stakeholder generated geographic information and web processing for disaster management. The idea of integrating user-generated data into the various tasks of a disaster management agency is promising. However, maintaining data quality and standards compliance remain important issues.","PeriodicalId":115431,"journal":{"name":"Journal of Environmental Geography","volume":"120 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Open Source Web GIS Solutions in Disaster Management – with Special Emphasis on Inland Excess Water Modeling\",\"authors\":\"L. Juhász, Ádám Podolcsák, János Doleschall\",\"doi\":\"10.1515/jengeo-2016-0003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract In recent years, the increased frequency of inland excess water in the Carpathian Basin gets more and more attention. The authors developed a web based pilot application for disaster management, with special emphasis on inland excess water hazard management. Free and open source software was used to generate a model, and our work was based on Web GIS standards (OGC), which makes further development possible. The developed Web GIS application provides functions to support the data collection regarding channels and ditches, and on-line hydrological analysis based on OGC Web Processing Services (WPS). Hydrological analysis aims to visualize the areas potentially at risk, depending on different precipitation quantities and various values of influencing factors. In order to run the prototype a sample data set was gathered including reference maps, technical parameters and current condition of canals and ditches. The methodology of crowdsourcing can produce valuable Volunteered Geographic Information (VGI) that can fulfill the data requirements of disaster management applications. The prototype supports Crowdsourcing in the following aspects: free user access to the system’s analysis functionality, stakeholders may digitize the position of ditches, modify the status of the existing ditch system according to current conditions and add or modify parameters relevant for the analysis. The application demonstrated the usability of stakeholder generated geographic information and web processing for disaster management. The idea of integrating user-generated data into the various tasks of a disaster management agency is promising. 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引用次数: 15
摘要
近年来,喀尔巴阡盆地内陆超水频发的问题越来越受到人们的关注。作者开发了一个基于网络的灾害管理试点应用程序,特别强调内陆过量水害管理。我们使用免费的开源软件来生成模型,我们的工作基于Web GIS标准(OGC),这使得进一步的开发成为可能。开发的Web GIS应用程序提供了基于OGC Web Processing Services (WPS)的渠道和沟渠数据采集和在线水文分析功能。水文分析的目的是根据不同的降水量和不同的影响因子值,可视化潜在的风险区域。为了运行原型,收集了包括参考图、技术参数和沟渠现状在内的样本数据集。众包方法可以产生有价值的志愿地理信息(VGI),可以满足灾害管理应用程序的数据需求。该原型在以下几个方面支持众包:用户可以免费访问系统的分析功能,利益相关者可以将沟渠的位置数字化,根据当前情况修改现有沟渠系统的状态,增加或修改与分析相关的参数。该应用程序展示了利益相关者生成的地理信息和网络处理对灾害管理的可用性。将用户生成的数据集成到灾害管理机构的各种任务中的想法很有前途。然而,保持数据质量和标准遵从性仍然是重要的问题。
Open Source Web GIS Solutions in Disaster Management – with Special Emphasis on Inland Excess Water Modeling
Abstract In recent years, the increased frequency of inland excess water in the Carpathian Basin gets more and more attention. The authors developed a web based pilot application for disaster management, with special emphasis on inland excess water hazard management. Free and open source software was used to generate a model, and our work was based on Web GIS standards (OGC), which makes further development possible. The developed Web GIS application provides functions to support the data collection regarding channels and ditches, and on-line hydrological analysis based on OGC Web Processing Services (WPS). Hydrological analysis aims to visualize the areas potentially at risk, depending on different precipitation quantities and various values of influencing factors. In order to run the prototype a sample data set was gathered including reference maps, technical parameters and current condition of canals and ditches. The methodology of crowdsourcing can produce valuable Volunteered Geographic Information (VGI) that can fulfill the data requirements of disaster management applications. The prototype supports Crowdsourcing in the following aspects: free user access to the system’s analysis functionality, stakeholders may digitize the position of ditches, modify the status of the existing ditch system according to current conditions and add or modify parameters relevant for the analysis. The application demonstrated the usability of stakeholder generated geographic information and web processing for disaster management. The idea of integrating user-generated data into the various tasks of a disaster management agency is promising. However, maintaining data quality and standards compliance remain important issues.