2016
DOI: 10.1155/2016/6427568
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Regional Frequency Analysis of Extreme Dry Spells during Rainy Season in the Wei River Basin, China

Abstract: Our research analyzes the regional changes of extreme dry spell, represented by the annual maximum dry spell length (noted as AMDSL) during the rainy season in the Wei River Basin (WRB) of China for 1960-2014 using the L-moments method. The mean AMDSL values increase from the west to the east of the WRB, suggesting a high dry risk in the east compared to the west in the WRB. To investigate the regional frequency more reasonably, the WRB is clustered into four homogenous subregions via the Kmeans method and som… Show more

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Cited by 13 publications
(4 citation statements)
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“…Regional frequency analysis (RFA) can get over the limitations of statistical estimation, such as the absence of lengthy or too short records, and result in more accurate quantile estimates compared to at-site analysis. Therefore, RFA has attracted increasing attention from researchers [18][19][20].…”
Section: Introductionmentioning
confidence: 99%
“…Regional frequency analysis (RFA) can get over the limitations of statistical estimation, such as the absence of lengthy or too short records, and result in more accurate quantile estimates compared to at-site analysis. Therefore, RFA has attracted increasing attention from researchers [18][19][20].…”
Section: Introductionmentioning
confidence: 99%
“…[4] and [5]. It has been demonstrated in a number of publications that the methodology may be used for creeks as well as entre river basins [6][7].…”
Section: Assessed Flow Characteristicsmentioning
confidence: 99%
“…The discordance test is useful for determining in advance whether the stations in a divided region are conspicuously discordant with the entire group (She et al 2016b). Hosking and Wallis (1993) give the definition of discordancy of sites on the basis of L-moments, and Chebana and Ouarda (2007) extended it to the multivariate case.…”
Section: Discordance Testmentioning
confidence: 99%
“…From table 5, we can find that two or more candidate distributions (|Z DIST | ≤ 1.64) could fit the SSI series in each season very well, but the best fit distribution is the one with the smallest |Z DIST |, and will ultimately be adopted. Therefore, such procedure indicates that it is a very important step to undertake thorough distribution selection processes rather than only subjectively fit one single distribution for all SSI series so as to reduce the uncertainty originated from the choice of the 'best-fit' distribution for the considered SSI series (She et al 2016b).…”
Section: Choice Of Optimal Regional Frequency Distributionmentioning
confidence: 99%