WoS Q Kategorisi "Q4" İklim Değişikliği Araştırmaları Uygulama ve Araştırma Merkezi (İKLİMER) İçin Listeleme
Toplam kayıt 7, listelenen: 1-7
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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 ... -
Innovative flow risk assessment with climate change perspective in Yesilirmak Basin
(Parlar Scientific Publications, 2020)Surface temperature increase due to global warming results in polar ice melting, snow cover thinning, changes in precipitation anomaly. All these phenological effects alert engineers, planners and administrators to be more ... -
Innovative flow risk assessment with climate change perspective in Yesilirmak Basın (vol 29, pg 514, 2020)
(Parlar Scientific Publications, 2021)... -
A new innovative method for model efficiency performance
(IWA Publishing, 2022)In every aspect of scientific research, model predictions need calibration and validation as their representativity of the record measurement. In the literature, there are a myriad of formulations, empirical expressions, ... -
A new performance analysis model for urban water supply systems evaluation
(Desalination Publications, 2021)Non-revenue water (NRW) is among the performance indicators that have a great importance in urban water distribution systems. In this study, the probability statistical approach used to compare the temporal variations of ... -
Non-Revenue water ratio prediction with serial triple diagram model
(IWA Publishing, 2021)Water administrations attempt to control the Non-Revenue Water Ratio (NRWR) values in sustainable and well-performing water distribution infrastructures. In this respect, the NRWR value prediction through appropriate models ... -
Physical and practical hydrograph recession modeling in karstic sinkholes
(IWA Publishing, 2020)Karstic spring discharge is related to the hydraulic head recession through a power function with an exponent <1. In the literature, analytical solutions are available for exponential and non-exponential models based on a ...