Comparison of Frequency Analysis with Density Based Clustering in Evaluating Extreme Streamflows

Analysis of streamflow data has significant importance concerning sustainable use of water resources, planning supply of short and long term demands. Streamflow, unlike many other completely random variables, is a dependent variable which is closely related to both meteorological (such as precipitation, temperature) and catchment characteristics (such as land use and soil type). Thus inter-dependencies should be taken into consideration while analyzing streamflow. Besides this, while analyzing streamflow data, outliers which can be defined as a data point which has very different features from the rest of the data and describes abnormal behavior of a system of data set should be taken into account (Aggarwal 2001). Traditionally, analysis of streamflow data is done by frequency analysis which estimates the probability of occurrences of specified events, such as low, high flows or flows for various return periods. In this project, alternative to the traditional frequency analysis, innovative and computationally effective density based clustering method is used to analyze streamflow data. The aim of this project is to evaluate results of traditional frequency analysis of streamflow in comparison to streamflow data analysis based on density based clustering. As a result of this study, the differences and similarities in the results of these two approaches, their relative advantages and disadvantages will be identified. Proposed methods will be applied at a case study catchment in


Alternative solutions for long missing streamflow data for sustainable water resources management
Mesta, Buket; Akgün, Ömer Burak; Kentel Erdoğan, Elçin (Informa UK Limited, 2020-08-01)
Sustainable water resources management requires long time series of streamflow data. In this study, a Takagi-Sugeno fuzzy rule-based (FRB) model is developed to reconstruct long periods of missing daily streamflow data which is a common problem in developing countries. The FRB model uses observations of neighbouring stream gauges, and thus is advantageous regarding data and time requirement compared to physical models. With the proper set of inputs, the FRB model provides better estimates than the hydrologi...
Development of a GIS-based estimator for streamflow at ungaged catchments
Öcal, Duygu; Kentel Erdoğan, Elçin; Department of Geodetic and Geographical Information Technologies (2017)
Water resources management has been a critical component of sustainable resources planning. One of the most commonly used data in water resources management is streamflow measurements. Daily streamflow time series collected at a streamgage provide information on the temporal variation in water quantity at the gage location. However, streamflow information is often needed at ungaged catchments. One conventional approach to estimate streamflow at an ungaged catchment is to transfer streamflow measurements from the...
Assessment of buried pipeline performance during the 1999 Duzce Earthquake
Yargıcı, Volkan; Çetin, Kemal Önder; Yücemen, M. Semih; Department of Civil Engineering (2003)
The goal of this study is to develop probabilistically based empirical correlations for seismic performance assessment of buried pipelines. Within the scope of these research efforts, pipeline performance case histories have been compiled from Duzce city after Duzce earthquake. The characteristics of Duzce water supply and distribution system with the earthquake damage on the system were studied. Correlations of the damage patterns with the water distribution system, earthquake and geotechnical characterist...
Optimization of Multireservoir Systems by Genetic Algorithm
Hinçal, Onur; Altan Sakarya, Ayşe Burcu; Ger, A. Metin (2011-03-01)
Application of optimization techniques for determining the optimal operating policy of reservoirs is a major issue in water resources planning and management. As an optimization Genetic Algorithm, ruled by evolution techniques, have become popular in diversified fields of science. The main aim of this study is to explore the efficiency and effectiveness of genetic algorithm in optimization of multi-reservoirs. A computer code has been constructed for this purpose and verified by means of a reference problem...
Comparative life cycle assessment of uranium recovery from brine
Altay, Melike Benan; Kurt, Zöhre; Department of Environmental Engineering (2022-4-15)
With the increase in world population and the associated increase in raw material, clean water, and energy demands, seeking for innovative and sustainable methods to decrease the human-made environmental footprint becomes a task of utmost importance. Uranium-based atomic energy the generation has an enormous potential to efficiently supply energy demand at the cost of high environmental impact on water bodies. Therefore, estimating the environmental impacts of the uranium recovery systems from desalination ...
Citation Formats
E. Kentel Erdoğan, “Comparison of Frequency Analysis with Density Based Clustering in Evaluating Extreme Streamflows,” 2018. Accessed: 00, 2020. [Online]. Available: