基于多源数据协作感知的城市洪水预警模型的研究
Dafeng Gong1, Linggui Meng2, Aichun Lin2
1School of Intelligent Manufacturing, Wenzhou Polytechnic, Chashan Higher Education Park, Wenzhou City, Zhejiang Province, China.
概括
这项研究介绍了一种先进的城市淹水早期预警模型. 它提高了预测和管理城市洪水风险的准确性和及时性,帮助灾难救援工作.
科学领域:
- 环境工程 环境工程
- 城市水文学 城市水文学
- 地理空间科学 地理空间科学
背景情况:
- 城市水淹没对城市运营和居民安全构成重大威胁.
- 准确高效的预警系统对于减轻水淹影响至关重要.
研究的目的:
- 开发和验证一个改进的城市淹水早期预警模型.
- 整合多来源数据,以加强洪水风险评估.
主要方法:
- 多源数据融合 (气象,水文,地理空间,排水).
- 通过分布式计算进行实时数据处理.
- 应用水文模型 (霍顿透,同位素,圣维南方程,哈森-威廉姆斯公式).
- 动态调整浸水风险水平.
主要成果:
- 精确模拟地表排水和城市排水能力.
- 在早期警告的准确性,可靠性,及时性和空间精度方面取得了明显的改进.
- 对现有模型的优势进行比较分析 (AquaTalk,MIKE FLOOD,CAE S.p.A.,FIEDLER).
结论:
- 拟议的模型在城市浸水早期预警方面取得了重大进展.
- 为城市淹水防治和灾害管理战略提供了宝贵的参考资料.
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