开源Python水文工具包:水文学家必备的软件资源

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资源摘要信息:"Python-Hydrology-Tools是一个包含多个水文学相关开源Python软件包的集合。这些软件包为水文学家提供了强大的工具,以利用Python编程语言进行水文分析、模型构建和数据处理。本文将详细介绍这些水文学领域的开源Python工具,并对它们的主要功能进行描述。 1. 流域建模框架(流域建模工具箱): - 流域建模框架是一个提供水文模拟和分析的工具箱。它允许用户构建流域模型,进行水量平衡计算,以及模拟水文过程。该工具箱通常包括一系列用于创建、运行和分析水文模型的模块和功能。 2. 空间水文模型(基于D8,完全符合BMI): - 空间水文模型是基于D8算法的水文模型,D8算法是用于分析水流方向的常用方法。该模型符合水文学模型接口(BMI),BMI是一个标准的接口规范,允许模型之间的互操作性和共享。符合BMI的模型可以更容易地集成到更复杂的水文模拟系统中。 3. 可变渗透能力(VIC)宏观水文模型: - VIC是一个广泛应用于水文学研究的宏观水文模型。它能够模拟陆面过程,包括水文循环的多个方面,如蒸发、渗透和地表径流。VIC模型特别关注土壤湿度和土壤温度的变化,以及它们对水文循环的影响。 4. Xanthos: - Xanthos是一个开源的全球水可用性模型,旨在帮助研究者量化和分析全球水资源。该模型可以用于评估气候变化对水资源的影响,并进行长期的水可用性预测。 5. wrfhydrpy: - wrfhydrpy是为WRF-Hydro建模系统提供的Python API,WRF-Hydro是基于天气研究和预报模型(WRF)的水文模型。通过Python API,用户可以更容易地进行模型设置、运行模拟和分析结果。 6. EXP-HYDRO: - EXP-HYDRO是一个集水规模的水文模型,设计用于每日运行。它可以处理降水、空气温度等气象输入数据,并输出流域水文响应,如径流和地下水位。该模型对于理解流域尺度的水文循环和水资源管理至关重要。 软件包的维护者和研究者被鼓励在他们的setup.py文件中添加特定的话题标签(Topic :: Scientific/Engineering :: Hydrology),这有助于他人通过搜索工具找到这些水文相关的软件包。这样的实践不仅增加了软件包的可发现性,也促进了开源社区中相关项目的交流和合作。 格拉茨大学RA研究员提到了对软件包进行更新,这表明该项目在持续维护和改进中,以适应水文学领域不断发展的需求和挑战。水文学家可以密切关注该项目,以获取最新版本和功能,从而提高他们的研究和工作效果。 综上所述,Python-Hydrology-Tools为水文学家提供了一系列实用的开源工具,涵盖了从模型建立到数据分析的广泛任务。通过使用这些工具,水文学家可以更有效地进行研究,更精确地进行水文预测,从而为水资源的管理与保护提供支持。"
2018-04-04 上传
Although I’d taken a lot of programming classes in college, I never fully appreciated programming until I had a job that involved a lot of repetitive tasks. After amusing myself by automating much of that job, I decided to return to school and study biol- ogy, which is when I took my first GIS course. I was instantly in love, and managed to convince someone to give me a biology degree for writing an extension for ArcView GIS (a precursor to A rc GIS , for you Esri fans out there). After finishing that up, I went to work for the Remote Sensing/Geographic Information Systems Laboratory at Utah State University. One of my first projects involved some web mapping, and I soon became a big fan of the open source UMN M ap S erver software. That was my introduc- tion to open source geospatial software, including GDAL . I’m fairly certain that I didn’t appreciate the power of the GDAL/OGR library when I first learned about it, but I came to my senses once I started using it in my C++ and C# code. In the College of Natural Resources, there weren’t many people around who were interested in coding, but I did get to point people to the GDAL command-line utilities on a regular basis. But then Esri introduced Python as the scripting language of choice for A rc GIS , and things started to change. I don’t think I had used Python much before then, but playing with arcgisscripting (the original Esri Python module) made me realize how much I enjoyed working with Python, so naturally I had to start using GDAL with it as well. More importantly for this book, my coworker John Lowry suggested that we team- teach a Python-for- GIS class. He taught students how to use Python with A rc GIS , and I taught them about GDAL . The class turned out to be popular, so we taught it that way for another few years until John moved away. I took over the entire class and have been teaching it in various configurations ever since. I’ve never bothered to take the class material from the first two years off the web, however, which is how Manning found me. They asked if I would write a book on using GDAL with Python. I’d never had the desire to write a book, so it took a bit of persuasion to convince me to do it. In the end, it was my love for teaching that won me over. I’ve discovered over the years that I really enjoy teaching, mostly because I love watching students incorporate what they’re learning into the rest of their work. This is especially true of graduate students, some of whom might not have completed their research in a timely manner (or at all) if they hadn’t learned how to write code. I know that these skills will continue to assist them throughout their careers, and my hope is that this book will provide the same help to you, no matter if you’re a student, professional, or a hobbyist. This is fun stuff, and I hope you enjoy it as much as I do!