DOI: 10.1007/s11069-019-03853-4
论文题名: Flood frequency analysis
作者: Baidya S. ; Singh A. ; Panda S.N.
刊名: Natural Hazards
ISSN: 0921030X
出版年: 2020
卷: 100, 期: 3 起始页码: 1137
结束页码: 1158
语种: 英语
中文关键词: Flood frequency analysis
; Flood quantiles
; Hydrological problems
; Interpolation methods
; L-moments
; Natural risk
英文关键词: catchment
; design flood
; error analysis
; flood damage
; flood forecasting
; flood frequency
; frequency analysis
; hazard assessment
; hydrological regime
; performance assessment
; quantitative analysis
; river basin
; Bay of Bengal
; India
; Mahanadi Basin
英文摘要: The recurring flooding causes loss of life and damage to buildings and other structures, including bridges, sewerage systems, roadways and canals. It also frequently damages power transmission and sometimes power generation, which then has knock-on effects caused by the loss of power. The present study compares the relative performance of flood frequency methods to estimate design flood, using available data of 18 small catchments in the Mahanadi River basin (India). The primary objective of the referred approach was for design flood estimation at gauge sites; however, the main focus is referred to ungauged catchments by an interpolation method. In this regard, three interpolation methods are used: (1) inverse distance weighing method, (2) ordinary kriging and (3) area weighted method. As per the recent trends, flood frequency analysis methods are used specifically for two data types, i.e., at-site analysis and for regionalizing the available data within the homogeneous region. In this study, an attempt has been made to categorize the interpolation properties, where the first two approaches belong to site analysis and the third one uses the regional analysis. In the first approach, the output results in terms of flood quantiles are interpolated for the intermediate results, which is generally termed as direct interpolation of flood quantile, and the second approach uses the linear interpolating or L-moments in flood estimation. The above one refers to the interpolation of L-moments, while flood index is interpolated in the third approach, which is named as ‘flood index procedure.’ In the study, it was observed that the designed flood quantile results were better by using the flood index approach at lower return periods at 2 and 5 years, and the direct interpolation method gave a better estimation for higher return periods. Further, it was found that the difference in prediction error of direct interpolation of flood quantiles and the flood index procedure is negligible. © 2020, Springer Nature B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/168392
Appears in Collections: 气候变化与战略
There are no files associated with this item.
作者单位: Agricultural and Food Engineering Department, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal 721302, India; National Institute of Technical Teachers Training and Research, Taramani, Chennai, 600113, India
Recommended Citation:
Baidya S.,Singh A.,Panda S.N.. Flood frequency analysis[J]. Natural Hazards,2020-01-01,100(3)