contributor author | Jing Feng | |
contributor author | Denghua Yan | |
contributor author | Chuanzhe Li | |
contributor author | Yu Gao | |
contributor author | Jia Liu | |
date accessioned | 2017-05-08T21:50:18Z | |
date available | 2017-05-08T21:50:18Z | |
date copyright | June 2014 | |
date issued | 2014 | |
identifier other | %28asce%29he%2E1943-5584%2E0000930.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/63784 | |
description abstract | Regional frequency analysis of extreme precipitation after a drought event based on the L-moment method has provided promising insights into drought risk management. The drought index of continuous noneffective rainy days was applied to analyze the droughts with the characteristics of increasing frequency, severity, and duration in the Heihe River Basin. Based on the typical drought records, the precipitation intensity after drought was shown to be greater than the long-term average values. Regional pooling of the precipitation after drought and under normal conditions for 1960–2010 from 14 sites across the Heihe River Basin was applied in a regional frequency analysis based on L-moments to estimate the quantiles for given return-period precipitation events in each of the three homogeneous regions for both the drought and normal series. From the study results, the following observations were made: (1) the Heihe River Basin (14 sites) can be classified into three homogeneous regions by the analysis of discordancy measure and heterogeneity measure. The results of goodness-of-fit measures showed that the Pearson type III (PE3) and generalized extreme value (GEV) distributions were suitable for the basin, but their respective performances for the drought and normal series were clearly different; and (2) the estimated quantiles at a given return period ( | |
publisher | American Society of Civil Engineers | |
title | Regional Frequency Analysis of Extreme Precipitation after Drought Events in the Heihe River Basin, Northwest China | |
type | Journal Paper | |
journal volume | 19 | |
journal issue | 6 | |
journal title | Journal of Hydrologic Engineering | |
identifier doi | 10.1061/(ASCE)HE.1943-5584.0000903 | |
tree | Journal of Hydrologic Engineering:;2014:;Volume ( 019 ):;issue: 006 | |
contenttype | Fulltext | |