TY  - JOUR
AU  - Mulaomerović-Seta, Ajla
AU  - Blagojević, Borislava
AU  - Mihailović, Vladislava
AU  - Petroselli, Andrea
PY  - 2023
UR  - https://omorika.sfb.bg.ac.rs/handle/123456789/1419
AB  - Flood quantile estimation in ungauged basins is often performed using regional analysis. A regionalization procedure consists of two phases: the definition of homogeneous regions among gauged basins, i.e., clusters of stations, and information transfer to the ungauged sites. Due to its simplicity and widespread use, a combination of hierarchical clustering by Ward's algorithm and the index-flood method is applied in this research. While hierarchical clustering is very efficient, its shortcomings are the lack of flexibility in the definition of clusters/regions and the inability to transfer objects/stations from one cluster center to another. To overcome this, using silhouette width for induced clustering of stations in flood studies is proposed in this paper. A regionalization procedure is conducted on 53 gauging stations under a continental climate in the West Balkans. In the induced clustering, a negative silhouette width is used as an indicator for the relocation of station(s) to another cluster. The estimates of mean annual flood and 100-year flood quantiles assessed by the original and induced clustering are compared. A jackknife procedure is applied for mean annual flood estimation and 100-year flood quantiles. Both the Hosking-Wallis and Anderson-Darling bootstrap tests provide better results regarding the homogeneity of the defined regions for the induced clustering compared to the original one. The goodness-of-fit measures indicate improved clustering results by the proposed intervention, reflecting flood quantile estimation at the stations with significant overestimation by the original clustering.
T2  - Hydrology
T1  - A Silhouette-Width-Induced Hierarchical Clustering for Defining Flood Estimation Regions
IS  - 6
VL  - 10
DO  - 10.3390/hydrology10060126
UR  - conv_933
ER  - 

@article{
author = "Mulaomerović-Seta, Ajla and Blagojević, Borislava and Mihailović, Vladislava and Petroselli, Andrea",
year = "2023",
abstract = "Flood quantile estimation in ungauged basins is often performed using regional analysis. A regionalization procedure consists of two phases: the definition of homogeneous regions among gauged basins, i.e., clusters of stations, and information transfer to the ungauged sites. Due to its simplicity and widespread use, a combination of hierarchical clustering by Ward's algorithm and the index-flood method is applied in this research. While hierarchical clustering is very efficient, its shortcomings are the lack of flexibility in the definition of clusters/regions and the inability to transfer objects/stations from one cluster center to another. To overcome this, using silhouette width for induced clustering of stations in flood studies is proposed in this paper. A regionalization procedure is conducted on 53 gauging stations under a continental climate in the West Balkans. In the induced clustering, a negative silhouette width is used as an indicator for the relocation of station(s) to another cluster. The estimates of mean annual flood and 100-year flood quantiles assessed by the original and induced clustering are compared. A jackknife procedure is applied for mean annual flood estimation and 100-year flood quantiles. Both the Hosking-Wallis and Anderson-Darling bootstrap tests provide better results regarding the homogeneity of the defined regions for the induced clustering compared to the original one. The goodness-of-fit measures indicate improved clustering results by the proposed intervention, reflecting flood quantile estimation at the stations with significant overestimation by the original clustering.",
journal = "Hydrology",
title = "A Silhouette-Width-Induced Hierarchical Clustering for Defining Flood Estimation Regions",
number = "6",
volume = "10",
doi = "10.3390/hydrology10060126",
url = "conv_933"
}

Mulaomerović-Seta, A., Blagojević, B., Mihailović, V.,& Petroselli, A.. (2023). A Silhouette-Width-Induced Hierarchical Clustering for Defining Flood Estimation Regions. in Hydrology, 10(6).
https://doi.org/10.3390/hydrology10060126
conv_933

Mulaomerović-Seta A, Blagojević B, Mihailović V, Petroselli A. A Silhouette-Width-Induced Hierarchical Clustering for Defining Flood Estimation Regions. in Hydrology. 2023;10(6).
doi:10.3390/hydrology10060126
conv_933 .

Mulaomerović-Seta, Ajla, Blagojević, Borislava, Mihailović, Vladislava, Petroselli, Andrea, "A Silhouette-Width-Induced Hierarchical Clustering for Defining Flood Estimation Regions" in Hydrology, 10, no. 6 (2023),
https://doi.org/10.3390/hydrology10060126 .,
conv_933 .