Emerging Trends of Computational Grid Based Near Real Time/Real Time Flood Assessment and Forecasting Models

Manavalan, S. Chattopadhyay, N. Mangala, Y. S. Rao
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引用次数: 3

Abstract

From recent past, the computational Grid based flood assessment and forecasting models is getting emerged as an interdisciplinary integrated ‘near real time/real time model’. Many such, Grid based flood assessment and forecasting model supports in logically integrating various components of flood related scientific simulations such as Metrological, Hydrological, Hydraulic, RADAR, LIDAR Remote Sensing, GIS, Satellite Communication and other technologies and derives the end result which can be straight away used by the disaster mitigation team member/end user. This paper mainly brings out the emerging technological trends observed in the fields of computational Grid based flood assessment and forecasting models by surveying the flood forecasting model of ‘Cross Grid’ as well as the operational flood model of ESA Grid. Details reflecting the technology trends and simulation methods adopted by the ‘GARUDA Grid’ flood assessment experimental model have been given.
基于计算网格的近实时/实时洪水评估和预报模型的新趋势
近年来,基于计算网格的洪水评估与预报模型作为一种跨学科的“近实时/实时模型”逐渐兴起。许多这样的基于网格的洪水评估和预测模型支持在逻辑上整合洪水相关科学模拟的各个组成部分,如气象、水文、水力、雷达、激光雷达遥感、地理信息系统、卫星通信和其他技术,并得出最终结果,可以直接由减灾小组成员/最终用户使用。本文主要通过对“交叉网格”洪水预报模型和ESA Grid的业务洪水模型的考察,揭示了基于计算网格的洪水评估和预报模型领域的新技术趋势。详细介绍了GARUDA Grid洪水评价实验模型的技术发展趋势和模拟方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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