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首页> 外文期刊>Journal of Hydroinformatics >Integrating three lake models into a Phytoplankton Prediction System for Lake Taihu (Taihu PPS) with Python
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Integrating three lake models into a Phytoplankton Prediction System for Lake Taihu (Taihu PPS) with Python

机译：使用Python将三种湖泊模型集成到太湖浮游植物预测系统中（太湖PPS）

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摘要

in the past decade, much work has been done on integrating different lake models using general frameworks to overcome model incompatibilities. However, a framework may not be flexible enough to support applications in different fields. To overcome this problem, we used Python to integrate three lake models into a Phytoplankton Prediction System for Lake Taihu (Taihu PPS). The system predicts the short-term (1-4 days) distribution of phytoplankton biomass in this large eutrophic lake in China. The object-oriented scripting language Python is used as the so-called 'glue language' (a programming language used for connecting software components). The distinguishing features of Python include rich extension libraries for spatial and temporal modelling, modular software architecture, free licensing and a high performance resulting in short execution time. These features facilitate efficient integration of the three models into Taihu PPS. Advanced tools (e.g. tools for statistics, 3D visualization and model calibration) could be developed in the future with the aid of the continuously updated Python libraries. Taihu PPS simulated phytoplankton biomass well and has already been applied to support decision making.
机译：在过去的十年中，已经在使用通用框架克服模型不兼容问题上集成不同湖泊模型方面进行了大量工作。但是，框架可能不够灵活，无法支持不同领域的应用程序。为了解决这个问题，我们使用Python将三个湖泊模型集成到了太湖浮游植物预测系统中（太湖PPS）。该系统可以预测中国这个富营养化大湖中浮游植物生物量的短期分布（1-4天）。面向对象的脚本语言Python被用作所谓的“胶水语言”（一种用于连接软件组件的编程语言）。 Python的显着特征包括用于空间和时间建模的丰富扩展库，模块化软件体系结构，免费许可和高性能，从而缩短了执行时间。这些功能有助于将这三种模型有效地集成到Taihu PPS中。将来，借助不断更新的Python库，可以开发出先进的工具（例如用于统计，3D可视化和模型校准的工具）。太湖PPS很好地模拟了浮游植物的生物量，并已被用于支持决策。

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  • 来源
    《Journal of Hydroinformatics》 |2012年第2期|p.523-534|共12页
  • 作者

    Jiacong Huang; Junfeng Gao; Georg Hormann; Wolf M. Mooij;

  • 作者单位

    Nanjing Institute of Geography and Limnology,Chinese Academy of Sciences,73 East Beijing Road, Nanjing 210008, China,Graduate university of the Chinese Academy of Sciences, Beijing 100049, China;

    Nanjing Institute of Geography and Limnology,Chinese Academy of Sciences,73 East Beijing Road, Nanjing 210008, China;

    Department of Hydrology and Water Resources Management,Institute of Natural Resources Conservation,Kiel University, Kiel 24118, Germany;

    Netherlands Institute of Ecology (NIOO-KNAW),Department of Aquatic Ecology, P.O. Box 50,6700 AB Wageningen, The NetherlandsandWageningen University,Department of Aquatic Ecology and Water QualityManagement, P.O. Box 47,6700 AA Wageningen, The Netherlands;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Lake Taihu; model integration; Phytoplankton Prediction System; Python; Python library;

    机译：太湖模型整合;浮游植物预测系统;蟒蛇;Python库;

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