[1]黄　源,徐鑫艾,赵　珉,等.监测信息对城市雨水管网模型校核的影响分析[J].郑州大学学报(工学版),2025,46(03):97-104.[doi:10.13705/j.issn.1671-6833.2024.06.012]
　HUANG Yuan,XU Xinai,ZHAO Min,et al.Analyzing the Influence of the Number and Layout of Sensors on the Calibration of Urban Drainage Models[J].Journal of Zhengzhou University (Engineering Science),2025,46(03):97-104.[doi:10.13705/j.issn.1671-6833.2024.06.012]
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监测信息对城市雨水管网模型校核的影响分析()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
46
期数:
2025年03期
页码:
97-104
栏目:
出版日期:
2025-05-13

文章信息/Info

Title:
Analyzing the Influence of the Number and Layout of Sensors on the Calibration of Urban Drainage Models
文章编号:
1671-6833(2025)03-0097-08
作者:
黄　源1;  徐鑫艾1;  赵　珉1;  李明宇1;  郑飞飞2
1.河海大学 水利水电学院,江苏 南京 210098;2.浙江大学 建筑工程学院,浙江 杭州 310058
Author(s):
HUANG Yuan1;  XU Xin’ai1;  ZHAO Min1;  LI Mingyu1;  ZHENG Feifei2
1.College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China; 2.College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China
关键词:
雨水管网模型;  城市内涝;  模型校核;  监测点优化布局;  监测点数量;  粒子群优化
Keywords:
urban drainage models;  urban flooding;  model calibration;  optimized layout of sensors;  number of sensors;  particle swarm optimization
分类号:
TU992.4
DOI:
10.13705/j.issn.1671-6833.2024.06.012
文献标志码:
A
摘要:
城市雨水管网模型参数复杂,模型校核面临较大挑战,而现有研究多集中于校核方法,忽略了监测点数量和布局对校核效果的影响,导致模型泛化能力差。以丹麦贝灵厄镇的雨水管网为案例,采用智能优化方法确定不同监测点数量下模型性能最优的监测布局方案,并分析监测点数量和布局对模型校核效果的影响。结果表明:增加监测点数量并优化其空间布局能显著提高模型的准确性和鲁棒性,如5个水位监测点的优化布局方案相比于空间均匀布局方案校核模型对内涝节点处平均预测精度提升约53%;模型校核存在显著“异参同效”问题,难以准确率定参数,但当监测信息充足时,模型仍能达到满足应用需求的预测性能,如监测点数量由1个增加至5个以上时校核模型的整体预测性能可提升38%以上。
Abstract:
Urban drainage models (UDMs) often involved a large number of complex parameters, leading to significant challenges for model calibration. Existing studies focused on calibration methods but neglected the impact of monitoring point placement on the calibration effect. It led to the issues of poor generalization ability and low reliability of the model. In this study, the real-world UDM in the town of Bellinge, Denmark was taken as a case study and optimization methods were utilied to determine the optimal layouts of sensors under different numbers, therefore the impact of the number and layout of sensors on the UDM calibration were analyzed. Results showed that increasing the number of sensors and optimizing the sensor layout could significantly improve the accuracy and robustness of the model calibration. For instance, the average prediction accuracy of the calibration model at flooding nodes with the optimized layout scheme with five water level sensors improved by about 53% compared with the spatially uniform layout scheme. The study also revealed that the UDM calibration problem faced the challenge of "parameter equifinality", which hindered the accurate deduction of true parameter values. However, a calibration model that met practical requirements could still be obtained when there was sufficient observation information. For instance, increasing the number of sensors from one to more than five enhanced the overall prediction performance of the calibration model by over 38%.

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更新日期/Last Update: 2025-05-22