Journal of Agricultural Science and Technology
Journal of Agricultural Science and Technology
JAST
Agriculture
http://jast.modares.ac.ir
1
admin
1680-7073
2345-3737
10.22034/jast
en
jalali
1390
9
1
gregorian
2011
12
1
13
7
online
1
fulltext
en
Regionalization Approach for Extreme Flood Analysis Using L-moments
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.
Homogeneity test,L-moments,L-moments ratio diagram,Regionalization,Regional flood frequency
1183
1196
http://jast.modares.ac.ir/browse.php?a_code=A-10-1000-539&slc_lang=en&sid=23
H.
Malekinezhad
H.
Malekinezhad
100319475328460045884
100319475328460045884
Yes
Natural Resources Faculty, Yazd University, Yazd, Islamic Republic of Iran.
Natural Resources Faculty, Yazd University, Yazd, Islamic Republic of Iran.
H. P.
Nachtnebel
H. P.
Nachtnebel
100319475328460045885
100319475328460045885
No
Institute of Water Management, Hydrology and Hydraulic Engineering, BOKU University, Vienna, Austria.
Institute of Water Management, Hydrology and Hydraulic Engineering, BOKU University, Vienna, Austria.
A.
Klik
A.
Klik
100319475328460045886
100319475328460045886
No
Institute of Hydraulics and Rural Water Management, BOKU University, Vienna, Austria.
Institute of Hydraulics and Rural Water Management, BOKU University, Vienna, Austria.