A cumulative-risk assessment method based on an artificial neural network model for the water environment

To analyze the cumulative risks to the water environment, the backpropagation artificial neural network (BP-ANN), a self-adapting algorithm, was proposed in this study. A new comprehensive indicator of cumulative risks was formed by combining the water risk assessment tool proposed by the World Wide...

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Veröffentlicht in:	Environmental science and pollution research international 2021-09, Vol.28 (34), p.46176-46185
Hauptverfasser:	Shi, En, Shang, Yanchen, Li, Yafeng, Zhang, Miao
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Aquatic Pollution Artificial neural networks Atmospheric Protection/Air Quality Control/Air Pollution Back propagation Back propagation networks Correlation coefficient Correlation coefficients Earth and Environmental Science Ecotoxicology Environment Environmental assessment Environmental Chemistry Environmental Concerns and Pollution control in the Context of Developing Countries Environmental Health Environmental protection Environmental risk Environmental science Neural networks Optimization Risk assessment Rivers Sensitivity analysis Waste Water Technology Wastewater treatment Water Management Water Pollution Control Water treatment Water treatment plants Wildlife
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