DOI: 10.1002/joc.5819
Scopus记录号: 2-s2.0-85052798485
论文题名: Extreme rainfall estimation at ungauged sites: Comparison between region-of-influence approach of regional analysis and spatial interpolation technique
作者: Das S.
刊名: International Journal of Climatology
ISSN: 8998418
出版年: 2019
卷: 39, 期: 1 起始页码: 407
结束页码: 423
语种: 英语
英文关键词: kriging
; region-of-influence method
; regional frequency analysis
; spatial interpolation
; ungauged rainfall estimation
Scopus关键词: Anisotropy
; Flood control
; Floods
; Frequency estimation
; Interpolation
; Inverse problems
; Rain gages
; Regional planning
; Spatial variables measurement
; Kriging
; Rainfall estimations
; Region of influences
; Regional frequency analysis
; Spatial interpolation
; Rain
; estimation method
; extreme event
; frequency analysis
; kriging
; precipitation assessment
; precipitation intensity
; raingauge
; regional climate
; spatiotemporal analysis
; Bangladesh
英文摘要: Reliable estimation of design extreme rainfall at an ungauged site is regarded to be an important task in engineering hydrology. This study compares two approaches of extreme rainfall estimation at ungauged locations: region-of-influence (ROI) approach of regional estimation and interpolation-based at-site estimation in a low-lying country where the density of rainfall measurements is relatively low. Both approaches incorporate generalized extreme value (GEV) based index-flood estimation procedure in which the growth factor is used as the means of comparison. The geographical proximity based ROI scheme is assessed for its suitability in ungauged cases whereas popular interpolation techniques—inverse distance weighting (IDW) and kriging—are examined to find an appropriate model for the same purpose. The estimation of index is required in the index-flood method to get a complete frequency curve at ungauged locations. This study also compares several interpolation approaches in this regard. Annual maximum daily rainfall data at 34 stations located in Bangladesh have been used to assess the performance. The successful evaluation of homogeneity test and the unbounded characteristics of frequency model prove the appropriateness of the ROI scheme in ungauged conditions. The ordinary kriging (OK) is found to be superior to the IDW method in terms of cross-validation error measures. The estimates of index rainfall obtained by OK with or without anisotropy produce very similar results, although a slight improvement is achieved when an anisotropic semi-variogram in east direction is used. Regarding comparison between OK and ROI, both methods show a similar performance, indicating that both can be used for ungauged estimation. The overall results suggest that the spatial information about rainfall is an important factor in terms of formation of governing character of extreme rainfall in a low-lying region like Bangladesh. © 2018 Royal Meteorological Society Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/116674
Appears in Collections: 全球变化的国际研究计划
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作者单位: School of Hydrology and Water Resources, Nanjing University of Information Science & Technology (NUIST), Nanjing, China
Recommended Citation:
Das S.. Extreme rainfall estimation at ungauged sites: Comparison between region-of-influence approach of regional analysis and spatial interpolation technique[J]. International Journal of Climatology,2019-01-01,39(1)