Hydrologic information systems: An introductory overview

IF 4.8 2区 环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Environmental Modelling & Software Pub Date : 2025-02-01 DOI:10.1016/j.envsoft.2024.106308
Amber Spackman Jones , Jeffery S. Horsburgh
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Abstract

Hydrologic Information Systems (HIS) integrate hardware and software to support collection, management, and sharing of hydrologic observations data. Successful HIS facilitate hydrologic monitoring, scientific investigation, watershed management, and communication of hydrologic conditions. Furthermore, HIS support the day-to-day data operations that are essential to organizations that monitor hydrologic systems. As an introductory overview of HIS, this paper reviews the history of HIS development and identifies and describes key components. Based on past HIS literature, patterns emerged for universal and generic HIS functionality and components. The main data pools are collection/acquisition, operational storage, and sharing/publication/dissemination with data flux occurring between pools. Persistent and contemporary challenges for HIS are identified, and examples of current and emerging HIS are described in the context of how they are addressing these challenges. Opportunities remain for coordinated community efforts to address outstanding barriers, advance HIS, and further enable hydrology.
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水文信息系统:概论
水文信息系统(HIS)集成了硬件和软件,支持水文观测数据的收集、管理和共享。成功的HIS有助于水文监测、科学调查、流域管理和水文条件的交流。此外,信息系统还支持对监测水文系统的组织至关重要的日常数据操作。本文对信息系统的发展历史进行了回顾,并对关键组成部分进行了识别和描述。基于过去的HIS文献,出现了用于通用和通用HIS功能和组件的模式。主要的数据池是收集/获取、操作存储和共享/发布/传播,池之间发生数据流。确定了卫生信息系统面临的持续和当代挑战,并在如何应对这些挑战的背景下描述了当前和正在出现的卫生信息系统的例子。在解决突出的障碍、推进HIS和进一步实现水文学方面,社区协调努力仍有机会。
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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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