优化传感器位置,合理设计洪水预警系统

IF 3.1 Q2 GEOSCIENCES, MULTIDISCIPLINARY Journal of Hydrology X Pub Date : 2024-08-01 DOI:10.1016/j.hydroa.2024.100182
Salvatore Grimaldi , Francesco Cappelli , Simon Michael Papalexiou , Andrea Petroselli , Fernando Nardi , Antonio Annis , Rodolfo Piscopia , Flavia Tauro , Ciro Apollonio
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引用次数: 0

摘要

洪水预警系统(FEWS)是拯救人类生命免受极端水文事件破坏性影响的有效手段。洪水预警系统依赖于水文监测网络,而水文监测网络通常成本高昂,设计难度大。在本研究中,我们将重点放在一个广受认可的 FEWS 解决方案上,分析水文监测和预报性能(以排水管网不同断面的排水量表示)。我们提出并测试了一个新颖的框架,该框架旨在最大限度地提高 FEWS 性能,同时最大限度地减少需要安装仪器的断面数量,并建议采用最佳传感器位置来提高预报精度。在选定的案例研究中,我们通过特征重要性测量证明,只有四个子流域才能达到与当地水文监测网络潜在的 26 个断面相同的预报性能。我们提出的框架所产生的操作仪表板可帮助决策者最大限度地提高洪水预警系统的性能,并在不同地理和社会经济范围内更广泛地采用该系统。
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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Optimizing sensor location for the parsimonious design of flood early warning systems

Flood early warning systems (FEWS) are effective means for saving human lives from the devastating impacts of extreme hydrological events. FEWS relies on hydrologic monitoring networks that are typically expensive and challenging to design. This issue is particularly relevant when identifying the most cost-efficient number, type, and positioning of the sensors for FEWS that may be used to take decisions and alert the population at flood risk.

In this study, we focus on a widely recognized FEWS solution to analyze hydrological monitoring and forecasting performances expressed as discharge in various cross-sections of a drainage network. We propose and test a novel framework that aims to maximize FEWS performances while minimizing the number of sections that need instrumentation and suggesting optimal sensor placement to enhance forecasting accuracy. In the selected case study, we demonstrate through feature importance measure that only four sub-basins can achieve the same forecasting performance as the potential twenty-six cross-sections of the local hydrologic monitoring network. The operational dashboard resulting from our proposed framework can assist decision-makers in maximizing the performance and wider adoption of flood early warning systems across geographic and socio-economic scales.

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来源期刊
Journal of Hydrology X
Journal of Hydrology X Environmental Science-Water Science and Technology
CiteScore
7.00
自引率
2.50%
发文量
20
审稿时长
25 weeks
期刊最新文献
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