Unlocking the Potential of Smart Watersheds: Leveraging Iot and Big Data for Sustainable Water Resource Management and Indicator Calculation

Article ID

414T5

Accurate water resource management for sustainability.

Unlocking the Potential of Smart Watersheds: Leveraging Iot and Big Data for Sustainable Water Resource Management and Indicator Calculation

Silva
Silva
Maria Luiza Ramos da
Maria Luiza Ramos da
Falsarella
Falsarella
Orandi Mina
Orandi Mina
Mariosa
Mariosa
Duarcides Ferreira
Duarcides Ferreira
Conti
Conti
Diego de Melo
Diego de Melo
Brígida Brito
Brígida Brito
Moraes
Moraes
Marcela Barbosa & Quaresma
Marcela Barbosa & Quaresma
Cristiano Capellani
Cristiano Capellani
DOI

Abstract

The present work aims to show how the Water Quality Indicators (IQA), defined in the Brazilian legislation, can be obtained using Information and Communication Technologies, such as the Internet of Things (IoT) and Big Data, and organizing them in decision support systems. This allows a decision based on up-to-date data and evidence, turning thewater management smarter. Methodologically, based on bibliographic and documentary data, it describes and evaluates the use of IoT and Big Data in calculating indicators applied to water resource management. The study also shows, in a practical way, how a network of sensors obtains the necessary data for the calculation of the Water Quality Indicator and how they were calculated using Big Data applications. With this, the results demonstrate how Information and Communication Technologies (ICTs) can be used to calculate different indicators in the management of water resources and, with the conceptual elements exposed here, provide greater familiarity with the theme of intelligent watersheds to fill a literature gap.

Unlocking the Potential of Smart Watersheds: Leveraging Iot and Big Data for Sustainable Water Resource Management and Indicator Calculation

The present work aims to show how the Water Quality Indicators (IQA), defined in the Brazilian legislation, can be obtained using Information and Communication Technologies, such as the Internet of Things (IoT) and Big Data, and organizing them in decision support systems. This allows a decision based on up-to-date data and evidence, turning thewater management smarter. Methodologically, based on bibliographic and documentary data, it describes and evaluates the use of IoT and Big Data in calculating indicators applied to water resource management. The study also shows, in a practical way, how a network of sensors obtains the necessary data for the calculation of the Water Quality Indicator and how they were calculated using Big Data applications. With this, the results demonstrate how Information and Communication Technologies (ICTs) can be used to calculate different indicators in the management of water resources and, with the conceptual elements exposed here, provide greater familiarity with the theme of intelligent watersheds to fill a literature gap.

Silva
Silva
Maria Luiza Ramos da
Maria Luiza Ramos da
Falsarella
Falsarella
Orandi Mina
Orandi Mina
Mariosa
Mariosa
Duarcides Ferreira
Duarcides Ferreira
Conti
Conti
Diego de Melo
Diego de Melo
Brígida Brito
Brígida Brito
Moraes
Moraes
Marcela Barbosa & Quaresma
Marcela Barbosa & Quaresma
Cristiano Capellani
Cristiano Capellani

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Duarcides Ferreira Mariosa. 2026. “. Global Journal of Human-Social Science – H: Interdisciplinary GJHSS-H Volume 23 (GJHSS Volume 23 Issue H5): .

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Journal Specifications

Crossref Journal DOI 10.17406/GJHSS

Print ISSN 0975-587X

e-ISSN 2249-460X

Issue Cover
GJHSS Volume 23 Issue H5
Pg. 11- 19
Classification
GJHSS-H Classification: (DDC): 628.1
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Unlocking the Potential of Smart Watersheds: Leveraging Iot and Big Data for Sustainable Water Resource Management and Indicator Calculation

Silva
Silva
Maria Luiza Ramos da
Maria Luiza Ramos da
Falsarella
Falsarella
Orandi Mina
Orandi Mina
Mariosa
Mariosa
Duarcides Ferreira
Duarcides Ferreira
Conti
Conti
Diego de Melo
Diego de Melo
Brígida Brito
Brígida Brito
Moraes
Moraes
Marcela Barbosa & Quaresma
Marcela Barbosa & Quaresma
Cristiano Capellani
Cristiano Capellani

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