A web-based platform for integrated real-time water Information: A prototype system for Missouri

IF 4.6 2区 环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Ayesha Siddiqua , Bong-Chul Seo , Steven Corns , Joel Burken , Robert R. Holmes Jr. , Chang-Soo Kim
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引用次数: 0

Abstract

The study demonstrates a framework to develop a web-based platform that presents real-time water data from observations, model estimations, and model predictions over a pilot domain in Missouri, United States. The Missouri Water Information System (MoWIS) is a prototype water information portal that provides current hydrologic (rainfall, drought, and stream) conditions and future stream predictions based on national radar and stream monitoring networks. The primary data sources are USGS and NOAA APIs for river stage/streamflow observations and forecasts. The platform visualizes these data within a geospatial context through a map-based environment, accessible upon user interaction, to facilitate intuitive interpretation and spatial analysis. With a modular architecture designed for system scalability, the platform supports fully automated operations and responsive performance by offloading intensive data processing and modeling tasks to external servers. Since the platform leverages nationally available web services, the framework is readily transferable to other geographic regions.
基于网络的综合实时水信息平台:密苏里州原型系统
该研究展示了一个框架,用于开发一个基于网络的平台,该平台提供来自美国密苏里州试点地区的观测、模型估计和模型预测的实时水数据。密苏里水信息系统(MoWIS)是一个原型水信息门户,提供当前的水文(降雨、干旱和河流)条件和未来的河流预测基于国家雷达和河流监测网络。主要数据来源是美国地质调查局和美国国家海洋和大气管理局用于河段/流量观测和预报的api。该平台通过基于地图的环境将这些数据在地理空间环境中可视化,可通过用户交互访问,以促进直观的解释和空间分析。该平台采用模块化架构,旨在实现系统可扩展性,通过将密集的数据处理和建模任务卸载到外部服务器,支持全自动操作和响应性能。由于该平台利用了全国可用的web服务,因此该框架很容易转移到其他地理区域。
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来源期刊
Environmental Modelling & Software
Environmental Modelling & Software 工程技术-工程:环境
CiteScore
9.30
自引率
8.20%
发文量
241
审稿时长
60 days
期刊介绍: Environmental Modelling & Software publishes contributions, in the form of research articles, reviews and short communications, on recent advances in environmental modelling and/or software. The aim is to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.
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