Surface water sodium (Na+) concentration prediction using hybrid weighted exponential regression model with gradient-based optimization

Undeniably, there is a link between water resources and people’s lives and, consequently, economic development, which makes them vital in health and the environment. Proper water quality forecasting time series has a crucial role in giving on-time warnings for water pollution and supporting the deci...

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Veröffentlicht in:	Environmental science and pollution research international Jg. 29; H. 35; S. 53456 - 53481
Hauptverfasser:	Ahmadianfar, Iman, Shirvani-Hosseini, Seyedehelham, Samadi-Koucheksaraee, Arvin, Yaseen, Zaher Mundher
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2022 Springer Nature B.V
Schlagworte:	Adaptive systems Algorithms Aquatic Pollution Artificial neural networks Atmospheric Protection/Air Quality Control/Air Pollution Bayesian analysis Bayesian theory Concentration gradient Decision making Earth and Environmental Science Economic development Ecotoxicology Environment Environmental Chemistry Environmental Health Environmental science Fuzzy logic Intelligence Iran Mathematical models Optimization Performance enhancement Performance evaluation prediction Predictions regression analysis Regression models Research Article Resource management rivers Sodium Statistical analysis Support vector machines Surface water time series analysis Waste Water Technology Water Management Water pollution Water Pollution Control Water quality Water resources Water resources management Iran Bayesian linear regression Wavelet transform Weighted exponential regression Gradient-based optimization Water quality
ISSN:	0944-1344, 1614-7499, 1614-7499
Online-Zugang:	Volltext
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