Regional frequency analysis of precipitation using time series clustering approaches

Date

2018-06-01

Author

Zaifoğlu, Hasan
Akıntuğ, Bertuğ
Yanmaz, Ali Melih

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

201
views

0
downloads

A regional frequency analysis using L-moments was performed with time series clustering approaches to identify homogeneous regions using dynamic data sets in Northern Cyprus. In this context, the conventional approach, based on station characteristics and different time series clustering approaches, classified as shape-based, feature-based, and model-based, were compared. Hierarchical Ward's method with the correlation-based similarity measure of the feature-based approach was determined as the best method regarding the results of the jackknife validation procedure, which was performed for assessment of clustering approach uncertainty. Therefore, the cluster analysis ended up with five homogeneous subregions, and according to the goodness-of-fit measure, the Pearson Type III, generalized logistic, and generalized normal distributions were chosen as the best fit for different subregions. The accuracy of the estimated quantiles was evaluated through Monte Carlo simulations and, consequently, the quantiles for different return periods were estimated, which demonstrated spatial consistency in terms of increasing trend from the low-lying Mesaoria Plain toward the north coastal strip, including the Kyrenia Mountains and the Karpass Peninsula.

Subject Keywords

Civil and Structural Engineering, General Environmental Science, Water Science and Technology, Environmental Chemistry

URI

https://hdl.handle.net/11511/43196

Journal

Journal of Hydrologic Engineering

DOI

https://doi.org/10.1061/(asce)he.1943-5584.0001659

Collections

Department of Civil Engineering, Article

Suggestions

OpenMETU
Core

Bayesian Learning and Relevance Vector Machines Approach for Downscaling of Monthly Precipitation OKKAN, UMUT; İnan, Gül (American Society of Civil Engineers (ASCE), 2015-04-01) In this study, statistical downscaling of large-scale general circulation model (GCM) simulations to monthly precipitation of Kemer Dam, in Turkey, has been performed through relevance vector machines (RVMs). All possible regression methods along with statistical measures have been used to select potential predictors through reanalysis data providing air850, hgt850, and prate variables as the optimal. The determined explanatory variables are then used for training RVM-based statistical downscaling model. A ...
Analytical formulation of maximum length limits of integral bridges on cohesive soils Dicleli, Murat (Canadian Science Publishing, 2005-08-01) This paper presents an analytical approach for predicting the length limits of integral bridges built on cohesive soils based on the flexural strength of the abutments and the low cycle fatigue performance of the steel H-piles at the abutments under cyclic thermal loading. First, H-piles that can accommodate large inelastic deformations are determined considering their local buckling instability. Then, a damage model is used to determine the maximum cyclic deformations that such piles can sustain. Next, non...
Groundwater mound due to constant recharge from a strip basin Onder, Halil; Korkmaz, Serdar (American Society of Civil Engineers (ASCE), 2007-05-01) Numerical and experimental solutions to steady infiltration from a strip basin to a groundwater table of infinite horizontal extent are presented. Because of the unknown location of the phreatic surface, the flow domain is transformed into the complex potential plane using the inverse formulation method where the phreatic surfaces with and without recharge become straight lines. The method of finite differences was used to solve the boundary value problem in the transformed plane. The problem was also inves...
Multiple-criteria calibration of a distributed watershed model using spatial regularization and response signatures Pokhrel, Prafulla; Yılmaz, Koray Kamil; Gupta, Hoshin V. (Elsevier BV, 2012-02-08) This paper explores the use of a semi-automated multiple-criteria calibration approach for estimating the parameters of the spatially distributed HL-DHM model to the Blue River basin, Oklahoma. The study was performed in the context of Phase 2 of the DMIP project organized by the Hydrology Lab of the NWS. To deal with the problem of ill conditioning, we employ a regularization approach that constrains the search space using information contained in a priori estimates of the spatially distributed parameter f...
Quality control, homogeneity analysis, and trends of extreme precipitation indices in Northern Cyprus Zaifoğlu, Hasan; Akıntuğ, Bertuğ; Yanmaz, Ali Melih (American Society of Civil Engineers (ASCE), 2017-12-01) In this study, the annual and seasonal changes in extreme precipitation indices were investigated in Northern Cyprus by using the non-parametric Mann–Kendal trend test and Sen’s slope estimator. To this end, quality control of data procedure including estimation of missing data, detection of unreasonable values, and outliers were applied to 36 daily precipitation series to identify different errors. In order to test the homogeneity of the daily series, a two-step approach with four homogeneity tests and ove...

Citation Formats

H. Zaifoğlu, B. Akıntuğ, and A. M. Yanmaz, “Regional frequency analysis of precipitation using time series clustering approaches,” Journal of Hydrologic Engineering, pp. 0–0, 2018, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/43196.