River flow pattern recognition for flood mitigation

Muhammad Hussain Mughal, Z. Shaikh
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引用次数: 1

Abstract

Climate change increasing variation of Indus river flow pattern and impact on the community compelled the national and international organization to develop a sustainable proactive solution for flood mitigation. We are investigating the strategy that can save recurring cost of recovery and rehabilitation imposed after every flood disaster. A great literature has been published demonstrating statistically analysis of flood impact and proposed solution of reservoirs. Other's modeled flood mathematically, to predict future disasters. In this paper, we proposed a deterministic computational model supported by contextual knowledge base and live monitoring of flood plain. We proposed the deterministic approach for flow configurations and their adjustment catering flood disaster mitigation and maintaining smooth flow. Identifying River flow configurations are then setting the configuration to avoid flooding are simulated for recommendation system towards modeling autonomous system for river flow.
河流流量模式识别与防洪研究
气候变化、印度河流量模式的变化和对社区的影响迫使国家和国际组织制定可持续的主动缓解洪水的解决方案。我们正在研究可以节省每次洪水灾害后恢复和重建的经常性费用的战略。大量文献已经发表,展示了洪水影响的统计分析,并提出了水库的解决方案。另一些则用数学方法模拟洪水,以预测未来的灾难。本文提出了一种基于背景知识库和河漫滩实时监测的确定性计算模型。在此基础上,提出了满足防洪减灾和保持水流畅通的流量配置及其调整的确定性方法。识别河流流量配置,然后设置配置以避免洪水,为推荐系统模拟,以建立河流流量自治系统。
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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