What is it about?
modeling the spatio-temporal evolution of chlorophyll-a, the main indicator of eutrophication using Artificial Neural Network in three typical rivers of Côte d’Ivoire (The Comoé, Bandama and Bia Rivers) which are used for drinking, fishing, bathing, and irrigation by the local populations without any treatment.
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Why is it important?
One of the main detrimental effects of eutrophication is the increased occurrence of harmful algae, especially Cyanobacteria which can present chronic health risks to humans (for example, liver cancer). Eutrophication of these three rivers could result in socio-economic impacts such as the cost of water treatment and financial problems for fishing communities.
Perspectives
This study demonstrates that the degree of eutrophication in tropical rivers can be predicted successfully using ANN models with few data in the field, which could benefit river management with less cost for water quality monitoring.
Dr MALEY-PACÔME SORO
Département de Chimie, Laboratoire de Constitution et de Réaction de la Matière, Université Felix Houphouët Boigny, 22 BP 582 Abidjan 22, Côte d’Ivoire
Read the Original
This page is a summary of: Modeling the Spatio-Temporal Evolution of Chlorophyll-a in Three Tropical Rivers Comoé, Bandama, and Bia Rivers (Côte d’Ivoire) by Artificial Neural Network, Wetlands, March 2020, Springer Science + Business Media,
DOI: 10.1007/s13157-020-01284-7.
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