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A computational framework for spatially explicit agroecosystem modeling: Application to regional simulation

机译:空间明确农业生态系统建模的计算框架:在区域模拟中的应用

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摘要

Site-based agroecosystem model has been applied at regional and state level to enable comprehensive analyses of environmental sustainability of food and biofuel production. However, spatially explicit ecosystem simulations over large landscape present computational challenges. This paper presents a framework to support spatially explicit agroecosystem modeling and data analysis over large landscape, which includes four major phases of agroecosystem simulation: simulation data preparation, site-based simulation on high performance computers, data management and data analysis. Then, a case study on a regional intensive modeling area (RIMA) was presented as an application to demonstrate the system implementation and capability.
机译:基于区域的农业生态系统模型已在区域和州一级应用,以实现食品和生物燃料生产的环境可持续性的综合分析。但是,在大片景观上进行空间显式的生态系统模拟提出了计算难题。本文提出了一个支持大面积景观空间农业生态系统建模和数据分析的框架,其中包括农业生态系统模拟的四个主要阶段:模拟数据准备,高性能计算机上的基于站点的模拟,数据管理和数据分析。然后,以区域密集型建模区域(RIMA)为例进行了案例研究,以演示系统的实现和功能。

著录项

  • 来源
    《Journal of computational science》 |2013年第5期|386-392|共7页
  • 作者单位

    Climate Change Science Institute, Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA;

    Climate Change Science Institute, Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA;

    Climate Change Science Institute, Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA;

    Climate Change Science Institute, Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA;

    Department of Geography, The University of Tennessee, Knoxville 37996, USA;

    Department of Geography, The University of Tennessee, Knoxville 37996, USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Environmental software system design; Spatially explicit simulation; Agroecosystem; High performance computing; Data management;

    机译:环境软件系统设计;空间显式模拟;农业生态系统;高性能计算;数据管理;

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