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Toplam kayıt 11, listelenen: 1-10
Power law characteristics of trend analysis in Turkey
(Springer Wien, 2021)
Trend identification analyses in any hydrometeorological data are necessary and critical for predictions and planning in many disciplines such as atmospheric, environmental, and oceanographic sciences; water engineering; ...
Innovative Polygon Trend Analysis (IPTA) and applications
(Elsevier, 2019)
Trend analysis is continuously in the research and application agenda due to climate change effect searches on various engineering, social, economic, agriculture, environmental and water resources design, management, ...
Climate change impacts on sea surface temperature (SST) trend around Turkey seashores
(Springer International Publishing AG, 2021)
This paper focuses on sea surface temperature (SST) trends due to the importance of temperature difference in climate change impact research. These trends are not only essential for climate, but they are also important for ...
Predicting a water infrastructure leakage index via machine learning
(Elsevier Ltd, 2022)
In this study, the infrastructure leakage index (ILI) indicator that is preferred frequently by the water utilities with sufficient data to determine the performances of water distribution systems is modeled for the first ...
Wet and dry spell feature charts for practical uses
(Springer, 2020)
Water resources management is dependent on wet and dry spells occurrences in an alternative manner. Therefore, information about their probabilistic occurrence frequencies and statistical parameters are the most required ...
Trend-risk model for predicting non-revenue water: An application in Turkey
(Elsevier Science Ltd, 2020)
Reducing non-revenue water (NRW) is one of the most significant strategies for the effective management of water resources. Efforts to reduce NRW and losses are also critical for planning the future budgets of water ...
Innovative triangular trend analysis
(Springer, 2020)
In this study, based on the Sen innovative trend analysis (ITA) method, another approach has been developed as innovative triangular trend analysis (ITTA), which helps to identify partial trends within a given time series ...
Artificial neural network system analysis and Kriging methodology for estimation of non-revenue water ratio
(IWA Publishing, 2020)
The non-revenue water (NRW) ratio parameter is significantly important for performance evaluation of water distribution systems. In order to evaluate the NRW ratio, the variables influencing this parameter should be ...
Self-similar characteristics of drought duration, total deficit, and intensity curves
(Springer, 2020)
Droughts are among the creeping extreme events with meteorological, hydrological, agricultural, and even social impacts. Due to their complex occurrences, drought identification and prediction need simple, effective, ...
The application of piecewise ITA method in Oxford, 1870-2019
(Springer Wien, 2021)
In this study, the trends, stabilities of temperature, and rainfall data have been analyzed in detail for hydrometeorology time series recorded since 1870 in Oxford city in England. The innovative trend analysis (ITA) ...