Event-driven flood management: design and computational modules
Event-driven flood management: design and computational modules
复制标题
DOI：
10.1080/10095020.2016.1151212
复制
发表时间：
2016-01
影响因子：
6
通讯作者：
V. Sharma;G. S. Rao;E. Amminedu;P. V. Nagamani;A. Shukla;K. R. M. Rao;V. Bhanumurthy
中科院分区：
文献类型：
--
作者：
V. Sharma;G. S. Rao;E. Amminedu;P. V. Nagamani;A. Shukla;K. R. M. Rao;V. Bhanumurthy
摘要洪水管理是一系列必须与多个机构合作进行的活动。利用遥感卫星技术生成的带有预警的高级洪水信息可帮助各机构有效管理地面情况。可以分析由不同机构提供的各种环境参数和预测，并与历史洪水事件进行比较，以生成可能的洪水事件警报。各机构提供的信息（环境参数）是不一致的，不符合标准，而且是分散的。分布式资源的数据同步和洪水管理数据分析过程的自动化是更快、更高效决策的首要前提。基于Web 2.0的Web服务支持在Web上创建、共享、通信和协作数据。在web 2.0上共享空间数据，利用开源软件提供高质量的服务，以实现高效的洪水管理，这是一个挑战。为风险和环境危机管理提出的现有软件架构在本质上过于通用，需要对洪水管理进行大量修改。事件驱动的模型加上数据标准化过程，使用面向服务的体系结构提供了一个有效的框架洪水管理。在本文中，能够收集异构分布式洪水相关信息的分析和预警可能发生的洪水事件的框架提出。该框架已实现自动生成洪水范围图，通过分析分布式卫星数据（作为服务）。洪水划定过程的自动化减少了总体洪水产品生成时间。在开发空间信息系统时利用了开放源码网络工具，以直观显示和分析实地的实际情况，从而促进总体决策进程。
Abstract Flood management is a set of activities that have to be carried out in collaboration with multiple agencies. Advanced flood information with early warning generated using remote sensing satellite technologies can help the agencies to effectively manage the situation on ground. Various environmental parameters and forecasts provided by different agencies can be analyzed and compared with historical flood events for generating probable flood event alerts. The information (environmental parameters) provided by the agencies are heterogeneous and noncompliant to standards and distributed in nature. Synchronization of data from distributed resources and automation of data analysis process for flood management is a primary prerequisite for faster and efficient decision-making. Web 2.0-based web services enable data creation, sharing, communication, and collaboration on web. Spatial data sharing on web 2.0 for making quality of service using open-source software for efficient flood management is a challenge. Available software architectures proposed for risk and environmental crisis management are too generic in nature and needs lot of modification for flood management. An event-driven model coupled with data standardization procedures using service-oriented architecture provides an effective framework for flood management. In this paper, a framework capable of collecting heterogeneous distributed flood-related information for analyzing and alerting probable flood events is proposed. The framework has been implemented to generate automatic flood extent maps, by analyzing the distributed satellite data (as service). The automation of flood delineation process reduces the overall flood product generation time. Open-source web tools have been utilized in development of spatial information system to visualize and analyze the actual situation on ground facilitating overall decision-making process.