Browsing İklim Değişikliği Araştırmaları Uygulama ve Araştırma Merkezi (İKLİMER) by Subject "Kriging"
Now showing items 1-4 of 4
-
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 ... -
Drought hazard, vulnerability, and risk assessment in Turkey
(Springer Heidelberg, 2018)Drought has multiple impacts on socioeconomic sectors, and it is expected to increase in the coming years due to non-stationary nature of climate change and variability. Drought hazard and vulnerability are investigated ... -
Gelir getirmeyen su oranı tahmin modelleri
(Niğde Ömer Halisdemir Üniversitesi, 2021)Bu araştırmada Gelir Getirmeyen Su Oranı (GGSO) tahminleri, Kocaeli’nin en fazla su kaybı yaşanan altı ilçesinin 2018 ve2019 yıllarına ait iki yıllık verisi dikkate alınarak ve tüketilen su miktarı, şebeke uzunluğu, servis ... -
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 ...