Search Results - "Gocic Milan"
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Analysis of changes in meteorological variables using Mann-Kendall and Sen's slope estimator statistical tests in Serbia
Published in Global and planetary change (01-01-2013)“…The annual and seasonal trends of seven meteorological variables were analyzed for twelve weather stations in Serbia during 1980–2010. The non-parametric…”
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Analyzing the applicability of some precipitation concentration indices over Serbia
Published in Theoretical and applied climatology (01-10-2021)“…In this study, the precipitation concentration index (PCI), the seasonal PCI (SPCI), the precipitation concentration degree (PCD), and the precipitation…”
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Innovative trend analysis of annual precipitation in Serbia during 1946–2019
Published in Environmental earth sciences (01-12-2021)“…To better plan how to solve the water-related issues directly connected with the variability in precipitation, it is necessary to understand trend changes in…”
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Reference Evapotranspiration Prediction Using Neural Networks and Optimum Time Lags
Published in Water resources management (01-04-2021)“…The reference evapotranspiration (ET 0 ) plays a significant role especially in agricultural water management and water resources planning for irrigation. It…”
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Soft computing approaches for forecasting reference evapotranspiration
Published in Computers and electronics in agriculture (01-04-2015)“…•The GP, SVM-FFA, ANN and SVM–Wavelet modeling of ET0 was reported.•SVM–Wavelet had the smallest RMSE of 0.233mmday−1 in testing phase.•The ANN model had the…”
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Regional Precipitation-Frequency Analysis in Serbia Based on Methods of L-Moment
Published in Pure and applied geophysics (01-04-2021)“…Precipitation is the main water resource for agronomy. The frequency is one of the most significant characteristics of precipitation. The objectives of this…”
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Estimation of Reference Evapotranspiration Using Neural Networks and Cuckoo Search Algorithm
Published in Journal of irrigation and drainage engineering (01-02-2016)“…AbstractThe ability to optimize an artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) in reference evapotranspiration (ET0)…”
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Evaluation of three wind speed approaches in temperature-based ET0 equations: a case study in Serbia
Published in Arabian journal of geosciences (2021)“…Evapotranspiration is a fundamental component of the hydrological cycle. The standard Penman-Monteith ( PM ) equation uses a plenty of data to assess reference…”
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Neural network based system in evapotranspiration time series prediction
Published in Earth science informatics (01-03-2023)“…Evapotranspiration is a very important process of the water cycle. Thus, the ability to model and understand evolution of this process is very important for…”
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ADAPTIVE NEURO-FUZZY COMPUTING TECHNIQUE FOR PRECIPITATION ESTIMATION
Published in Facta Universitatis. Series: Mechanical Engineering (01-08-2016)“…The paper investigates the accuracy of an adaptive neuro-fuzzy computing technique in precipitation estimation. The monthly precipitation data from 29 synoptic…”
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Precipitation Estimation Using Support Vector Machine with Discrete Wavelet Transform
Published in Water resources management (01-01-2016)“…Precipitation prediction is of dispensable importance in many hydrological applications. In this study, monthly precipitation data sets from Serbia for the…”
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Comparative study of different LID technologies for drainage and protection of atmospheric stormwater quality in urban areas
Published in Arabian journal of geosciences (01-10-2020)“…Frequent floods and deterioration of drained water quality are the main problems in rapidly developing urban zones, mostly because urbanization reduces the…”
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Determining the best fitting distribution of annual precipitation data in Serbia using L-moments method
Published in Earth science informatics (01-06-2021)“…Precipitation is one of the key components in the water cycle. To analyse the changes in precipitation at a specific location, it is necessary to identify the…”
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CATALOGUE OF DROUGHT RISK MANAGEMENT MEASURES: A VIEW FROM THE WATER SECTOR IN SERBIA
Published in Facta Universitatis. Series: Architecture and Civil Engineering (01-01-2023)“…Drought impacts are rising worldwide, mostly because of an increase in the severity, frequency and duration of drought events. Water scarcity is one of the…”
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Clustering project management for drought regions determination: A case study in Serbia
Published in Agricultural and forest meteorology (01-01-2015)“…•Application of clustering methods on the SPI-12 time series in Serbia.•Comparison of clustering algorithms for the drought regionalization.•k-Medoid had the…”
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The assessment of the hydrological regime of the Torysa River by the flashlines index
Published in MATEC web of conferences (2023)“…Climate change has a significant impact on the local and regional hydrological regime. In this study, the hydrological regime and variability of flows in the…”
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Potential of adaptive neuro-fuzzy inference system for evaluation of drought indices
Published in Stochastic environmental research and risk assessment (01-12-2015)“…Drought as a natural hazard is characterized using quantitative measures named drought indices. Thus, accurate drought monitoring requires approaches for…”
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Long-Term Precipitation Analysis and Estimation of Precipitation Concentration Index Using Three Support Vector Machine Methods
Published in Advances in meteorology (01-01-2016)“…The monthly precipitation data from 29 stations in Serbia during the period of 1946–2012 were considered. Precipitation trends were calculated using linear…”
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Assessment of Reference Evapotranspiration by Regionally Calibrated Temperature-Based Equations
Published in KSCE journal of civil engineering (01-03-2020)“…The Penman-Monteith (PM) method for estimation of reference evapotranspiration ( ET 0 ) uses numerous data that are often missing in many regions. In such…”
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FLOOD RISK VULNERABILITY VISUALIZATION FOR SUSTAINABLE RISK MANAGEMENT - THE CASE OF SERBIA
Published in Facta universitatis economics and organization (01-01-2021)“…The main objective of this study is to visualize the flood risk vulnerability of municipalities in the Republic of Serbia through mapping and spatial analysis…”
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