摘 要 :目前使用的系统动力学模型往往由于输入数据与实际系统不同步,引起对预测和调控的误差和失败。动态数据驱动应用系统(Dynamic Data Driven Application System,DDDAS)以动态运作方式,集实时模拟、实时测量、自动反馈和控制管理于一体能够有效克服传统模拟存在的问题。本文简述了DDDAS提出的历史背景和基本概念,以该系统在农田温室气体排放、农田定量灌溉和河流污染监控中的具体应用为例,进一步阐明了DDDAS在农业和环境科学中应用的思路和方法。并提出DDDAS应用中需要解决的一些具体问题。
Abstract:At present, most input data in system dynamic modeling are not able to synchronize with real-world conditions, which often results in inaccurate predictions and/or failure of system control. Dynamic Data Driven Application System (DDDAS) is an innovative paradigm in which real-time computer simulations and measurements, system automated feedback and applications/managements are dynamically integrated. It effectively overcomes setbacks in traditional simulation approaches. This paper is an overview of the emergence and basic concepts of DDDAS and describes the rationale and methodology of DDDAS application in agricultural and environmental sciences through case studies of greenhouse gas emission, irrigation control in crop production and monitoring water pollution in river system. Specific limitations of DDDAS are also discussed.
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