Impact of Spatial Distribution Methods for Rainfall on Flash Floods Modelling Using a Hydrodynamic Model

被引:0
|
作者
Sun, Nan [1 ]
Huang, Wei [2 ]
Creed, Maggie [3 ]
Sun, Xihuan [1 ]
机构
[1] Taiyuan Univ Technol, Taiyuan, Peoples R China
[2] Changjiang River Sci Res Inst, Wuhan, Peoples R China
[3] Univ Glasgow, James Watt Sch Engn, Glasgow, Scotland
来源
JOURNAL OF FLOOD RISK MANAGEMENT | 2025年 / 18卷 / 01期
基金
中国国家自然科学基金;
关键词
estimation of missing rainfall data; full hydrodynamic model; rainfall distribution methods; rainfall-triggered flash floods; WEIGHTING METHODS; OVERLAND-FLOW; WATER; CATCHMENT; INTERPOLATION; SIMULATIONS; VARIABILITY; PLANE; URBAN;
D O I
10.1111/jfr3.70010
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In small mountain catchments, the spatial and temporal resolution of rainfall can vary significantly across the catchment. However, rainfall gauging stations can be sparse in these regions, and collected data may not reflect the real rainfall distribution across the catchment. When modelling flash floods, finding a suitable approach to estimate the actual rainfall distribution is nontrivial. In this study, the effectiveness of different methods for obtaining a spatial and temporal rainfall distribution for use in numerical modelling of flash floods was investigated using a full two-dimensional depth-averaged shallow-water hydrodynamic model. It was demonstrated that the Thiessen polygon method and the inverse distance weighted interpolation method (IDW), with appropriate empirical coefficients, produce results in agreement with observed stage and discharge hydrographs. We show that the uniform distribution method cannot be used to represent realistic spatial and temporal variability of rainfall for flash flood events in small mountain catchments. By combining available data with the common IDW method, missing rainfall timeseries data in a small catchment can be estimated, even for short-duration time scales, such as a single flash flood event.
引用
收藏
页数:10
相关论文
共 50 条
  • [31] Spatial variability assessment of river-line floods and flash floods in Himalaya A case study using GIS
    Rawat, Pradeep K.
    Pant, C. C.
    Tiwari, P. C.
    Pant, P. D.
    Sharma, A. K.
    DISASTER PREVENTION AND MANAGEMENT, 2012, 21 (02) : 135 - 159
  • [32] Impact of spatial distribution information of rainfall in runoff simulation using deep learning method
    Wang, Yang
    Karimi, Hassan A.
    HYDROLOGY AND EARTH SYSTEM SCIENCES, 2022, 26 (09) : 2387 - 2403
  • [33] Modelling spatiotemporal impact of flash floods on power distribution system and dynamic service restoration with renewable generators considering interdependent critical loads
    Afzal, Suhail
    Mokhlis, Hazlie
    Illias, Hazlee Azil
    Bajwa, Abdullah Akram
    Mekhilef, Saad
    Mubin, Marizan
    Muhammad, Munir Azam
    Shareef, Hussain
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2024, 18 (02) : 368 - 387
  • [34] Validity of regional rainfall spatial distribution methods in mountainous areas
    Saghafian, Bahram
    Bondarabadi, Sima Rahimi
    JOURNAL OF HYDROLOGIC ENGINEERING, 2008, 13 (07) : 531 - 540
  • [35] Spatial interpolation methods for estimating monthly rainfall distribution in Thailand
    Chutsagulprom, N.
    Chaisee, K.
    Wongsaijai, B.
    Inkeaw, P.
    Oonariya, C.
    THEORETICAL AND APPLIED CLIMATOLOGY, 2022, 148 (1-2) : 317 - 328
  • [36] Spatial interpolation methods for estimating monthly rainfall distribution in Thailand
    N. Chutsagulprom
    K. Chaisee
    B. Wongsaijai
    P. Inkeaw
    C. Oonariya
    Theoretical and Applied Climatology, 2022, 148 : 317 - 328
  • [37] The impact of flash floods on microbial distribution and biogeochemistry in the parafluvial zone of a desert stream.
    Holmes, RM
    Fisher, SG
    Grimm, NB
    Harper, BJ
    FRESHWATER BIOLOGY, 1998, 40 (04) : 641 - 654
  • [39] Stochastic modelling of daily rainfall: the impact of adjoining wet days on the distribution of rainfall amounts
    Chapman, T
    ENVIRONMENTAL MODELLING & SOFTWARE, 1998, 13 (3-4) : 317 - 324
  • [40] Identification of spatial and temporal contributions of rainfalls to flash floods using neural network modelling: case study on the Lez basin (southern France)
    Darras, T.
    Estupina, V. Borrell
    Kong-A-Siou, L.
    Vayssade, B.
    Johannet, A.
    Pistre, S.
    HYDROLOGY AND EARTH SYSTEM SCIENCES, 2015, 19 (10) : 4397 - 4410