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.
机构:
Mohammed VI Polytech Univ, Inst Appl Phys, Ben Guerir, MoroccoMohammed VI Polytech Univ, Inst Appl Phys, Ben Guerir, Morocco
El Fatimy, Abdelouahad
El Mocayd, Nabil
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机构:
Mohammed VI Polytech Univ, Inst Appl Phys, Ben Guerir, Morocco
Mohammed VI Polytech Univ, Int Water Res Inst, Ben Guerir, MoroccoMohammed VI Polytech Univ, Inst Appl Phys, Ben Guerir, Morocco
机构:
China Inst Water Resources & Hydropower Res, Beijing 100038, Peoples R China
Res Ctr Flood & Drought Disaster Reduct Minist Wat, Beijing 100038, Peoples R China
Swansea Univ Bay Campus, Dept Civil Engn, Fabian Way, Swansea SA1 8EN, WalesChina Inst Water Resources & Hydropower Res, Beijing 100038, Peoples R China
Wang, Han
Xuan, Yunqing
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h-index: 0
机构:
Swansea Univ Bay Campus, Dept Civil Engn, Fabian Way, Swansea SA1 8EN, WalesChina Inst Water Resources & Hydropower Res, Beijing 100038, Peoples R China