首页 > 过刊浏览>2025年第41卷第2期 >95-105. DOI:10.3880/j.issn.1004-6933.2025.02.011
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基于多智能体系统的城市极端暴雨内涝风险动态评估
作者:
作者单位:

(1.中国水利水电科学研究院流域水循环模拟与调控国家重点实验室,北京 100038;2.南昌工程学院水利工程学院,江西 南昌 330099;3.南昌市城市规划设计研究总院集团有限公司,江西 南昌 330038;4.兰州交通大学环境与市政工程学院,甘肃 兰州 730070 )

作者简介:

李孟泽(2000—),男,硕士研究生,主要从事水资源综合调控研究。E-mail:lmz1.thaa@vip.163.com 通信作者:褚俊英(1976—),女,正高级工程师,博士,主要从事水资源规划与管理研究。E-mail:jchu@iwhr.com

基金项目:

江西省“科技+水利”联合计划重大专项项目(2022KSG01007)


Dynamic assessment of urban extreme rainstorm waterlogging risk based on multi-agent system//
Author:
Affiliation:

(1.State Key Laboratory of Basin Water Cycle Simulation and Regulation, China Institute of Water Resources and Hydropower Research, Beijing 100038, China;2.The School of Hydraulic Engineering, Nanchang Institute of Technology, Nanchang 330099, China;3.Nanchang Urban Planning & Design Institute Group Co., Ltd., Nanchang 330038, China;4.School of Environment and Municipal Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China)

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    摘要:

    为有效识别和评估城市内涝风险,提出了针对人类、车辆、普通建筑物、基础设施等不同个体的风险计算与评级方法,构建了基于危险性、暴露性与脆弱性的多层次动态评估模型,该模型集成了包括风险、人类、车辆、建筑和政府的五大智能体系统,并应用于南昌市乌沙河流域。结果表明:南昌市乌沙河流域的地形条件和排水系统特征是影响内涝风险的主要因素；人员和车辆的时空分布进一步影响了内涝风险等级,其中凤凰洲排水区和新建区排水区的风险等级较高；内涝风险的时间分布呈现明显的双峰特征,风险值的峰值在工作日主要集中在早、晚高峰期,节假日则在午间达到峰值,政府预警可有效调节研究区内涝风险水平。

    Abstract:

    To effectively identify and assess urban waterlogging risks, a risk calculation and rating method targeting different units such as humans, vehicles, ordinary buildings, and infrastructure was proposed. A multi-level dynamic assessment model based on hazard, exposure, and vulnerability was constructed. This model integrated a multi-agent system comprising risk, humans, vehicles, buildings, and government, which was used in the Wusha River Basin in Nanchang City. The results indicate that the topographic conditions and drainage system characteristics of the Wusha River Basin are the primary factors influencing urban waterlogging risks. The spatiotemporal distribution of people and vehicles further affects the risk levels, with higher risk levels observed in the Fenghuangzhou drainage zone and the Xinjian District drainage zone. The temporal distribution of waterlogging risks exhibits a distinct bimodal pattern, with peak risk values concentrated during the morning and evening rush hours on weekdays and reaching a peak at noon on holidays. Government warnings can effectively regulate the urban waterlogging risk levels in the study area. Keywords: urban waterlogging; extreme rainstorm; multi-agent system; waterlogging risk value; dynamic assessment; the Wusha River Basin 〖FL

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李孟泽,褚俊英,周祖昊,等.基于多智能体系统的城市极端暴雨内涝风险动态评估[J].水资源保护,2025,41(2):95-105.(LI Mengze, CHU Junying, ZHOU Zuhao, et al. Dynamic assessment of urban extreme rainstorm waterlogging risk based on multi-agent system//[J]. Water Resources Protection,2025,41(2):95-105.(in Chinese))

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  • 收稿日期:2024-07-11
  • 在线发布日期: 2025-04-14

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