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ArcGIS-based development of a land subsidence information management system using C/S and B/S mixing mode strategy: A case study in North China plain

机译:基于ArcGIS的土地沉降信息管理系统的开发,使用C / S和B / S混合模式策略:北方平原案例研究

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Land subsidence has become one of the incontestable environmental disasters in North China Plain, which has a strong negative impact on the development of local community economy. In order to study the current situation and evolving tendency of subsidence, and accordingly to enhance the level of subsidence prevention and control, a custom-built information system was determined to be developed. This paper elaborates the overall process of software development from the system architecture design to functionality implementation. A mixing mode of C/S and B/S was applied to increase the using flexibility of the system. The subsystem based on C/S mode, for specialized users, was run in Intranet with characteristics of high speed, powerful functionality and tight security, and the other subsystem based on B/S was designed for public users with less functionality in Internet and Browse environment. These two seeming independent subsystems connect a same spatial dataset through ArcGIS SDE technology, in which all the spatial data was organized and stored in Geodatabase model. In C/S subsystem, a methodology of table data relating and filtering was used to regionalize the discrete spatio-temporal field monitoring data. Our subsidence information Management system facilitates to share data socially, provide end-users a cost-saving solution to access up-to-date spatial datasets customized for a specific topic to different users with limited or enough GIS knowledge.
机译:土地沉降已成为华北平原的无法抗拒的环境灾害之一,对当地社区经济的发展具有强烈的负面影响。为了研究当前的情况和不断发展的沉降趋势,因此为了提高防沉息和控制水平,确定了一种自定义的信息系统。本文阐述了从系统架构设计到功能实现的软件开发的整体过程。施加C / S和B / S的混合模式以增加系统的灵活性。基于C / S模式的子系统,用于专业用户,在Intranet中运行,具有高速,强大的功能和安全性的特点,以及基于B / S的其他子系统专为具有较低互联网功能而不是互联网和浏览的公共用户设计环境。这两个看似独立的子系统通过ArcGIS SDE技术连接了相同的空间数据集,其中所有空间数据都是组织并存储在地理数据库模型中。在C / S子系统中,表数据相关和过滤的方法用于区分离散的时空场监测数据。我们的沉降信息管理系统有助于在社交上共享数据,提供最终用户的成本节省的解决方案,以访问针对具有有限或足够GIS知识的不同用户自定义的最新的空间数据集。

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