Knowledge Resource Center for Ecological Environment in Arid Area
Regionalization Approach for Extreme Flood Analysis Using L-moments | |
Malekinezhad, H.1; Nachtnebel, H. P.2; Klik, A.3 | |
通讯作者 | Malekinezhad, H. |
来源期刊 | JOURNAL OF AGRICULTURAL SCIENCE AND TECHNOLOGY
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ISSN | 1680-7073 |
出版年 | 2011 |
卷号 | 13页码:1183-1196 |
英文摘要 | Flood frequency analysis is faced with the problem of data and information limitation in arid and semi-arid regions. Particularly in these regions, the length of records is usually too short to ensure reliable quantile estimates. More than 75% of Iran is located in arid and semi-arid regions and despite the low annual precipitation, often large floods occur. One way to provide more information is to use many records from a region with similar flood behaviour, rather than only at-site data. This research is aimed to delineate homogeneous regions in the study area for further hydrological studies. Estimating regionalized parameters and identification of the best-fit distributions are the other specific objectives of the research. Several watershed attributes in relation to flood were characterized, among which the main characteristics were found by factor analysis. Later, preliminary identification of homogeneous regions was carried out using cluster analysis and region-of-influence approaches. The homogeneity test was done by H-statistic, a testing method based on L-moments. The results of this test showed that a subdivision of selected watersheds into homogenous groups is necessary. Therefore, three homogenous regions were formed. The Z-statistic based on L-moments and L-moment ratio diagrams were applied for identification of the best-fit distribution in each homogenous region. In the regionalization procedure five three-parameter distributions i.e. Generalized Logistic (GLO), Generalized Extreme Value (GEV), Generalized Pareto (GPA), three-parameter Lognormal (LN3), and Pearson type III (PE3) were fitted to the three homogeneous regions and the best-fit distributions were identified using L-moments approach. The results of goodness-of-fit analysis for the three regions indicates that the GEV, LN3 for the regions (1) and (2), and GLO and GEV distributions for the region (3) give acceptably close fits to the regional average L-moments. In general, the GEV distribution could be adopted as the appropriate distribution for the study area. |
英文关键词 | Homogeneity test L-moments L-moments ratio diagram Regionalization Regional flood frequency |
类型 | Article |
语种 | 英语 |
国家 | Iran ; Austria |
收录类别 | SCI-E |
WOS记录号 | WOS:000296965200018 |
WOS关键词 | FREQUENCY MODEL SELECTION ; PWM QUANTILE ESTIMATORS ; VARIANCE ; REGION ; IRAN |
WOS类目 | Agriculture, Multidisciplinary |
WOS研究方向 | Agriculture |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/168775 |
作者单位 | 1.Yazd Univ, Nat Resources Fac, Yazd, Iran; 2.BOKU Univ, Inst Water Management Hydrol & Hydraul Engn, Vienna, Austria; 3.BOKU Univ, Inst Hydraul & Rural Water Management, Vienna, Austria |
推荐引用方式 GB/T 7714 | Malekinezhad, H.,Nachtnebel, H. P.,Klik, A.. Regionalization Approach for Extreme Flood Analysis Using L-moments[J],2011,13:1183-1196. |
APA | Malekinezhad, H.,Nachtnebel, H. P.,&Klik, A..(2011).Regionalization Approach for Extreme Flood Analysis Using L-moments.JOURNAL OF AGRICULTURAL SCIENCE AND TECHNOLOGY,13,1183-1196. |
MLA | Malekinezhad, H.,et al."Regionalization Approach for Extreme Flood Analysis Using L-moments".JOURNAL OF AGRICULTURAL SCIENCE AND TECHNOLOGY 13(2011):1183-1196. |
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