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Statistical analysis of excess water on drainage systems in the northern part of Serbia

Vranešević, Milica and Bezdan, Atila and Blagojević, Boško (2022) Statistical analysis of excess water on drainage systems in the northern part of Serbia. COLUMELLA: JOURNAL OF AGRICULTURAL AND ENVIRONMENTAL SCIENCES, 9 (2). pp. 191-198. ISSN 2064-7816

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Abstract

Drainage systems in Serbia are mainly designed to evacuate excess water generated in the winter-spring period, which occurs as a result of snow accumulation during the long and wet winter and its sudden melting with the parallel appearance of spring rains. Dimensioning of the drainage system is done in such a way as to satisfy the needs of draining the design excess water, which is usually calculated using the water balance. Applying statistical analysis based on distributions of probability, the results of the future occurrence of excess water can be predicted. The paper tests the distribution that best corresponds to the empirical distribution of excess water obtained by applying the water balance. The Kolmogorov-Smirnov, Anderson-Darling, and χ2 tests were used to test a number of theoretical distributions, and basis on those tests Generalized Extreme Value (GEV) distribution was selected, which is often used in hydrological analyzes. The probabilities of excess water on drainage systems for the return period of 5, 10, 50, and 100 years were obtained. The results of the calculations can be used in the reconstruction of existing drainage systems, since most of them were designed more than 50 years ago, or in the planning and design of new drainage systems.

Item Type: Article
Uncontrolled Keywords: EXCESS WATER; Drainage system; statistical analysis;
Subjects: H Social Sciences / társadalomtudományok > HA Statistics / statisztika
S Agriculture / mezőgazdaság > S1 Agriculture (General) / mezőgazdaság általában
SWORD Depositor: MTMT SWORD
Depositing User: MTMT SWORD
Date Deposited: 03 Mar 2023 10:22
Last Modified: 03 Mar 2023 10:22
URI: http://real.mtak.hu/id/eprint/161373

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