Application of machine learning in predicting sources of water pollution in the Euphrates and Tigris rivers in Iraq

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Bibliographische Detailangaben
Veröffentlicht in:	International Journal of Aquatic Biology vol. 12, no. 6 (Dec 2024), p. 581
1. Verfasser:	Rashid, Mohammed Kareem
Weitere Verfasser:	Salman, Israa Ramadhan, Obaid, Abbas Luaibi, Hassan, Saif Al-Deen H, Al-musawi, Mohammed Raoof, Al-Saady, Moumal
Veröffentlicht:	Iranian Society of Ichthyology
Schlagworte:	Pesticides Agricultural runoff Environmental monitoring Algal blooms Environmental degradation Resource management Multilayer perceptrons Public health Macroinvertebrates Biodiversity Rivers Machine learning Contamination Particulates Prediction models Decision trees Eutrophication Sewage Water quality Water resources management Environmental quality Clustering Aerial surveys Algae Algorithms Water resources Pollution sources Pollution Mineral composition Aerial photographs Ecosystems Multilayers Water pollution Aquatic ecosystems Aerial photography Learning algorithms Suspended particulate matter Control methods Zoobenthos Habitats Impact prediction Environmental
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