Dan Gao , Jie Yin , Yuhan Yang , Jianfeng Mai , Yi Lu , Pujun Liang , Wenting Wang , Xuesong Yuan , Dapeng Yu
{"title":"Validating typhoon-induced rainstorm flood inundation modelling with insurance claims","authors":"Dan Gao , Jie Yin , Yuhan Yang , Jianfeng Mai , Yi Lu , Pujun Liang , Wenting Wang , Xuesong Yuan , Dapeng Yu","doi":"10.1016/j.jhydrol.2025.133178","DOIUrl":null,"url":null,"abstract":"<div><div>The impacts of tropical cyclone (TC)-induced rainstorm flooding are projected to worsen due to climate change. Two-dimensional (2D) flood inundation models are essential for capturing the spatiotemporal dynamics of floods. However, the successful application of these models depends on effective validation, which is limited by data availability. Thus, there is an urgent need to develop advanced and reliable flood model validation methods. In this paper, we validate the simulations of a 2D flood model using insurance claims data, offering new insights for improving validation approaches. Hydraulic simulations are conducted via the FloodMap–HydroInundation2D model in a case study of flooding induced by Typhoon Muifa (2022) in Ningbo, a major coastal city in East China. The simulated water depth and extent are generally consistent with the flood records provided by the People’s Insurance Company (Group) of China Limited (PICC). A sensitivity analysis reveals that the model is sensitive to both hydraulic conductivity and roughness parameters, particularly hydraulic conductivity. Furthermore, circular buffers with radii of 50–100 m around claim locations are shown to be effective alternative methods for approximating building footprints, thereby improving the validation accuracy. Our work provides a practical approach for validating flood models and offers valuable insights into the enhancement of flood risk management in coastal cities.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"657 ","pages":"Article 133178"},"PeriodicalIF":6.3000,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hydrology","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0022169425005165","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/3/24 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
引用次数: 0
Abstract
The impacts of tropical cyclone (TC)-induced rainstorm flooding are projected to worsen due to climate change. Two-dimensional (2D) flood inundation models are essential for capturing the spatiotemporal dynamics of floods. However, the successful application of these models depends on effective validation, which is limited by data availability. Thus, there is an urgent need to develop advanced and reliable flood model validation methods. In this paper, we validate the simulations of a 2D flood model using insurance claims data, offering new insights for improving validation approaches. Hydraulic simulations are conducted via the FloodMap–HydroInundation2D model in a case study of flooding induced by Typhoon Muifa (2022) in Ningbo, a major coastal city in East China. The simulated water depth and extent are generally consistent with the flood records provided by the People’s Insurance Company (Group) of China Limited (PICC). A sensitivity analysis reveals that the model is sensitive to both hydraulic conductivity and roughness parameters, particularly hydraulic conductivity. Furthermore, circular buffers with radii of 50–100 m around claim locations are shown to be effective alternative methods for approximating building footprints, thereby improving the validation accuracy. Our work provides a practical approach for validating flood models and offers valuable insights into the enhancement of flood risk management in coastal cities.
期刊介绍:
The Journal of Hydrology publishes original research papers and comprehensive reviews in all the subfields of the hydrological sciences including water based management and policy issues that impact on economics and society. These comprise, but are not limited to the physical, chemical, biogeochemical, stochastic and systems aspects of surface and groundwater hydrology, hydrometeorology and hydrogeology. Relevant topics incorporating the insights and methodologies of disciplines such as climatology, water resource systems, hydraulics, agrohydrology, geomorphology, soil science, instrumentation and remote sensing, civil and environmental engineering are included. Social science perspectives on hydrological problems such as resource and ecological economics, environmental sociology, psychology and behavioural science, management and policy analysis are also invited. Multi-and interdisciplinary analyses of hydrological problems are within scope. The science published in the Journal of Hydrology is relevant to catchment scales rather than exclusively to a local scale or site.