Spatial variation of catchment-oriented extreme rainfall in England and Wales

被引:3
|
作者
Wang, H. [1 ]
Xuan, Y. [1 ]
机构
[1] Swansea Univ, Zienkiewicz Ctr Computat Engn, Bay Campus,Fabian Way, Swansea SA1 8EN, W Glam, Wales
关键词
Spatial variation; Century-long variation; Catchment-orientated annual maximum daily; rainfall; GEV; LOCAL LINEAR-REGRESSION; RUNOFF RESPONSE; VARIABILITY; PRECIPITATION; TRENDS; TOPOGRAPHY; STORMS; SHAPE;
D O I
10.1016/j.atmosres.2021.105968
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
This paper presents the spatial variation of the annual maximum daily rainfall (AMDR) in more than 900 catchments of England and Wales over the last century with respect to different spatial features including geographic location, elevation, size, orientation and shape of catchments. A spatial pattern extraction and recognition (SPER) toolbox is employed to extract the spatial features of catchments where the AMDR is modelled by a well-tested Generalized Extreme Value (GEV) distribution. The results show that the GEV parameters mu and sigma exhibit similar patterns and are usually larger with higher elevations. Increasing catchment size can decrease parameters due to areal averaging, however, in the middle-sized transition regions of the rainfall variation, e.g., east Wales, the trend reverses. For areas at higher elevation, parameters are greater in the westnorthwest-oriented catchments while parameters in west-northwest or east-northeast-oriented catchments at lower elevation are similar or smaller than those with a north-south orientation. An elongated shape catchment usually has smaller parameters than a rounded-shape one. These findings reveal the heterogeneity of extreme rainfall distribution in space with respect to different spatial characteristics of catchments even under the same climate, which lays a basis for further catchment-based analysis concerning the relationship between hydrological response and geomorphic properties.
引用
收藏
页数:13
相关论文
共 50 条
  • [31] Spatial Heterogeneity Analysis of Short-Duration Extreme Rainfall Events in Megacities in China
    Zhuang, Qi
    Liu, Shuguang
    Zhou, Zhengzheng
    WATER, 2020, 12 (12)
  • [32] Evaluation of the extreme rainfall predictions and their impact on landslide susceptibility in a sub-catchment scale
    Shou, Keh-Jian
    Lin, Jia-Fei
    ENGINEERING GEOLOGY, 2020, 265
  • [33] Spatial analysis of trend in extreme daily rainfall in southern France
    Blanchet, Juliette
    Molinie, Gilles
    Touati, Julien
    CLIMATE DYNAMICS, 2018, 51 (03) : 799 - 812
  • [34] Spatial scaling of extreme rainfall from radar QPE in Germany
    Poeschmann, Judith Marie
    Kronenberg, Rico
    Bernhofer, Christian
    METEOROLOGISCHE ZEITSCHRIFT, 2023, 32 (05) : 353 - 365
  • [35] Diurnal and spatial variation of Indian summer monsoon rainfall using tropical rainfall measuring mission rain rate
    Varikoden, Hamza
    Preethi, B.
    Revadekar, J. V.
    JOURNAL OF HYDROLOGY, 2012, 475 : 248 - 258
  • [36] Examining spatial variation in soil solutes and flowpaths in a semi-arid, montane catchment
    Gregory, Reece B.
    Bush, Sidney A.
    Sullivan, Pamela L.
    Barnard, Holly R.
    FRONTIERS IN WATER, 2022, 4
  • [37] Spatial and temporal variation in rainfall erosivity in a Himalayan watershed
    Ma, Xing
    He, Yandong
    Xu, Jianchu
    van Noordwijk, Meine
    Lu, Xixi
    CATENA, 2014, 121 : 248 - 259
  • [38] Spatial and temporal variation of rainfall trends of Sri Lanka
    Wickramagamage, P.
    THEORETICAL AND APPLIED CLIMATOLOGY, 2016, 125 (3-4) : 427 - 438
  • [39] Evaluation of uncertainty in capturing the spatial variability and magnitudes of extreme hydrological events for the uMngeni catchment, South Africa
    Kusangaya, Samuel
    Toucher, Michele L. Warburton
    van Garderen, Emma Archer
    JOURNAL OF HYDROLOGY, 2018, 557 : 931 - 946
  • [40] Spatial Distribution of Extreme Rainfall Events During 2017 Southwest Monsoon over Indian Subcontinent
    Suthinkumar, P. S.
    Babu, C. A.
    Varikoden, Hamza
    PURE AND APPLIED GEOPHYSICS, 2019, 176 (12) : 5431 - 5443