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
下载
收藏
页码:632 / +
页数:2
相关论文
共 50 条
  • [1] Radar-based flood forecasting for river catchments
    Reichel, F.
    Verworn, H. -R.
    Kraemer, S.
    Cluckie, I.
    Rico-Ramirez, M. A.
    PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-WATER MANAGEMENT, 2009, 162 (02) : 159 - 168
  • [2] Adaptive Blending Method of Radar-Based and Numerical Weather Prediction QPFs for Urban Flood Forecasting
    Yoon, Seong-Sim
    REMOTE SENSING, 2019, 11 (06)
  • [3] Evaluation and communication of pluvial flood risks in urban areas
    Schmitt, Theo G.
    Scheid, Christian
    WILEY INTERDISCIPLINARY REVIEWS-WATER, 2020, 7 (01):
  • [4] Radar-based flood forecasting in small catchments, exemplified by the Goldersbach catchment, Germany
    Ehret, Uwe
    Goetzinger, Jens
    Bardossy, Andras
    Pegram, Geoffrey G. S.
    INTERNATIONAL JOURNAL OF RIVER BASIN MANAGEMENT, 2008, 6 (04) : 323 - 329
  • [5] Pluvial Flood Risk Assessment in Urban Areas: A Case Study for the Archaeological Site of the Roman Agora, Athens
    Iliopoulou, Theano
    Dimitriadis, Panayiotis
    Koutsoyiannis, Demetris
    HERITAGE, 2023, 6 (11): : 7230 - 7243
  • [6] Evaluation of radar-based precipitation estimates for flash flood forecasting in the Three Gorges Region
    Li, Zhe
    Yang, Dawen
    Hong, Yang
    Qi, Youcun
    Cao, Qing
    REMOTE SENSING AND GIS FOR HYDROLOGY AND WATER RESOURCES, 2015, 368 : 89 - +
  • [7] Application of Flood Nomograph for Flood Forecasting in Urban Areas
    Lee, Eui Hoon
    Kim, Joong Hoon
    Choo, Yeon Moon
    Jo, Deok Jun
    WATER, 2018, 10 (01):
  • [8] Application of Radar-Based Precipitation Data Improves the Effectiveness of Urban Inundation Forecasting
    Tri, Doan Quang
    Thu, Nguyen Vinh
    Hoa, Bui Thi Khanh
    Nguyen-Thi, Hoang Anh
    Hoa, Vo Van
    Hue, Le Thi
    Dat, Dao Tien
    Pham, Ha T. T.
    SUSTAINABILITY, 2024, 16 (09)
  • [9] Flood hazard risk forecasting index (FHRFI) for urban areas: The Hurricane Harvey case study
    Jurlina, Toni
    Baugh, Calum
    Pappenberger, Florian
    Prudhomme, Christel
    METEOROLOGICAL APPLICATIONS, 2020, 27 (01)
  • [10] Urban pluvial flood prediction: a case study evaluating radar rainfall nowcasts and numerical weather prediction models as model inputs
    Thorndahl, Soren
    Nielsen, Jesper Ellerbaek
    Jensen, David Getreuer
    WATER SCIENCE AND TECHNOLOGY, 2016, 74 (11) : 2599 - 2610