Radar-based pluvial flood forecasting over urban areas: Redbridge case study

被引:0
|
作者
Wang, Li-Pen [1 ]
Simoes, Nuno [1 ,2 ]
Rico-Ramirez, Miguel [3 ]
Ochoa, Susana [1 ]
Leitao, Joao [4 ]
Maksimovic, Cedo [1 ]
机构
[1] Univ London Imperial Coll Sci Technol & Med, Dept Civil & Environm Engn, Skempton Bldg,S Kensington Campus, London SW7 2AZ, England
[2] Univ Coimbra, Dept Civil Engn, P-3030788 Coimbra, Portugal
[3] Univ Bristol, Dept Civil Engn, Bristol, Avon, England
[4] Lab Nacl Engn Civil, P-1700 Lisbon, Portugal
来源
基金
英国工程与自然科学研究理事会;
关键词
nowcasting; flood forecasting; radar; rainfall; urban drainage;
D O I
暂无
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
A nowcasting model coupled with an urban drainage model is used in this study to assess the forecasting of pluvial floods in urban areas. The deterministic nowcasting model used in this paper is part of the Met Office STEPS (Short-Term Ensemble Prediction System) system, and the hydraulic model is run based on the 1D/1D dual drainage simulation scheme. A highly-urbanised catchment, Cranbrook (located in the London Borough of Redbridge), is employed for this case study to analyse the associated uncertainties. The aim of this work is to assess the impact of using rainfall forecasts with different spatial and temporal resolutions to forecast pluvial flooding over urban areas. Results show that promising performance in hydraulic forecasting is in general observed by using higher spatial and temporal resolution nowcasts as inputs; this implies the necessity of using advanced radar-based nowcasting techniques to improve the state-of-the-art pluvial flood forecasting over urban areas.
引用
收藏
页码:632 / +
页数:2
相关论文
共 50 条
  • [41] Ensemble rainfall forecasting with numerical weather prediction and radar-based nowcasting models
    He, Shan
    Raghavan, Srivatsan V.
    Ngoc Son Nguyen
    Liong, Shie-Yui
    HYDROLOGICAL PROCESSES, 2013, 27 (11): : 1560 - 1571
  • [42] Applications of radar-based nowcasting techniques for mesoscale weather forecasting in Hong Kong
    Li, PW
    Lai, EST
    METEOROLOGICAL APPLICATIONS, 2004, 11 (03) : 253 - 264
  • [43] A probabilistic pluvial flood warning model based on nest som using radar reflectivity data
    Tsung-Yi Pan
    Lo-Yi Chen
    Yi-Huan Hsieh
    Buo-Fu Chen
    Jihn-Sung Lai
    Stochastic Environmental Research and Risk Assessment, 2025, 39 (1) : 361 - 381
  • [44] DETERMINATION OF FLOOD INUNDATION AREAS AND ASSESSMENT OF FLOOD HAZARD COSTS IN URBAN SETTLEMENTS: A CASE STUDY OF AGVA
    Sonmez, O.
    Demir, I. H.
    Demir, F.
    Dobrucali, E.
    JOURNAL OF ENVIRONMENTAL PROTECTION AND ECOLOGY, 2017, 18 (02): : 509 - 523
  • [45] Pluvial flood susceptibility mapping for data-scarce urban areas using graph attention network and basic flood conditioning factors
    Wang, Ze
    Lyu, Heng
    Zhang, Chi
    GEOCARTO INTERNATIONAL, 2023, 38 (01)
  • [46] Urban flood forecasting based on the coupling of numerical weather model and stormwater model: A case study of Zhengzhou city
    Wang, Huiliang
    Hu, Yuxin
    Guo, Yuan
    Wu, Zening
    Yan, Denghua
    JOURNAL OF HYDROLOGY-REGIONAL STUDIES, 2022, 39
  • [47] Uncertainty of Flood Forecasting Based on Radar Rainfall Data Assimilation
    Chen, Xinchi
    Zhang, Liping
    Gippel, Christopher James
    Shan, Lijie
    Chen, Shaodan
    Yang, Wei
    ADVANCES IN METEOROLOGY, 2016, 2016
  • [48] Flood monitoring and forecasting using synthetic aperture radar (SAR) and meteorological data: A case study
    Bhuiyan, Md Mafijul Islam
    Hoque, S. N. M. Azizul
    MALAYSIAN JOURNAL OF FUNDAMENTAL AND APPLIED SCIENCES, 2020, 16 (03): : 300 - 306
  • [49] The importance of public risk perception for the effective management of pluvial floods in urban areas: A case study from Germany
    Netzel, Leon Maximilian
    Heldt, Sonja
    Engler, Steven
    Denecke, Martin
    JOURNAL OF FLOOD RISK MANAGEMENT, 2021, 14 (02):
  • [50] Enhanced efficiency of pluvial flood risk estimation in urban areas using spatial-temporal rainfall simulations
    Blanc, J.
    Hall, J. W.
    Roche, N.
    Dawson, R. J.
    Cesses, Y.
    Burton, A.
    Kilsby, C. G.
    JOURNAL OF FLOOD RISK MANAGEMENT, 2012, 5 (02): : 143 - 152