Introducing MapSWAT: An open source QGIS plugin integrated with google earth engine for efficiently generating ready-to-use SWAT+ input maps.

IF 4.8 2区 环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Environmental Modelling & Software Pub Date : 2024-06-10 DOI:10.1016/j.envsoft.2024.106108
Adrián López-Ballesteros , Raghavan Srinivasan , Javier Senent-Aparicio
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Abstract

Hydrological modeling plays a significant role in addressing global water challenges. Streamlining the implementation of hydrological models enables more people to participate in designing solutions to water issues. This study presents the development and workflow of a QGIS-based tool called MapSWAT, designed to facilitate the application of the Soil and Water Assessment Tool (SWAT+). MapSWAT is an open-source plugin written in Python for collecting and producing ready-to-use SWAT + input maps. It can generate SWAT + input maps for any location globally, including limited data regions, by connecting to the Google Earth Engine. The potential for and feasibility of MapSWAT have been demonstrated through its application in a case study in southeast Spain. The results indicate that MapSWAT is a useful tool for efficiently generating SWAT + input maps that optimizes the hydrological modeling process with SWAT+. The MapSWAT software is freely and publicly available at https://github.com/AdrLBallesteros/MapSWAT.

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介绍 MapSWAT:与谷歌地球引擎集成的开源 QGIS 插件,用于高效生成即用型 SWAT+ 输入地图。
水文模型在应对全球水资源挑战方面发挥着重要作用。简化水文模型的实施可以让更多人参与到水问题解决方案的设计中来。本研究介绍了基于 QGIS 的工具 MapSWAT 的开发和工作流程,该工具旨在促进水土评估工具(SWAT+)的应用。MapSWAT 是一个用 Python 编写的开源插件,用于收集和生成随时可用的 SWAT + 输入地图。它可以通过连接谷歌地球引擎,为全球任何地点生成 SWAT + 输入地图,包括有限的数据区域。MapSWAT 在西班牙东南部的案例研究中的应用证明了其潜力和可行性。结果表明,MapSWAT 是有效生成 SWAT + 输入地图的有用工具,可优化 SWAT+ 的水文建模过程。MapSWAT 软件可在 https://github.com/AdrLBallesteros/MapSWAT 免费公开获取。
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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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