Criação de uma rede neural para classificação de amostras d’água conforme normativa CONAMA 357/05 a partir de um dataset da SEMASA
Year: 2025
Type: conference-paper
Abstract: This work presents the creation of a neural network trained using a dataset from SEMASA (Serviço Municipal de Água, Saneamento Básico e Infraestrutura) from Itajaí, containing pH, turbidity, and apparent color data of water bodies from various neighborhoods in the municipality, capable of classifying water samples according to the water types defined by the CONAMA (Conselho Nacional do Meio Ambiente) 357/05 standard for embedding in an IoT device. The dataset is composed of 8,928 records from 2018 to 2023, covering neighborhoods São Roque I and II, Arapongas, and Limoeiro. The selected variables are critical for water quality assessment, where pH indicates the acidity or alkalinity of the water, turbidity measures the presence of suspended particles, and apparent color is a visual indicator of dissolved and suspended materials.
Source: Anais do Computer on the Beach
Authors: Eduardo Caldeira Vicente, Anita Maria da Rocha
Institution: Universidade do Vale do Itajaí
Language: English
Subfield: Water Science and Technology
Field: Environmental Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4410770790