IoT Application for Water Quality Monitoring: Nitrates

Laura Hernandez-Alpizar; Arys Carrasquilla-Batista; Lilliana Sancho-Chavarria

doi:10.1109/LASCAS45839.2020.9069039

IoT Application for Water Quality Monitoring: Nitrates

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

12 Scopus citations

Abstract

The intensive agricultural fertilization used for large scale food production generates an increase in the concentration of nitrates in water systems, contamination of water for human consumption and eutrophication of surface waters. Therefore, nitrates monitoring is a must practice in a basin receiving high agricultural activity. Discrete and sporadic samples analysis might reveal spatial differences in concentration, but continuous samples analysis gives the information about the origin, hydrological dynamics, transport and the bioprocessing of the nitrates. Here we present a design of an autonomous system for nitrates remote monitoring that uses an adjustable but continuous sampling flow, UV spectroscopy and Internet of Things (IoT) to directly perform and control the system calibration and nitrates quantification and, a strategy to optimize data generation and the monitoring resolution: a conductivity sensor used as a sampling frequency trigger.

Original language	English
Title of host publication	2020 IEEE 11th Latin American Symposium on Circuits and Systems, LASCAS 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728134277
DOIs	https://doi.org/10.1109/LASCAS45839.2020.9069039
State	Published - Feb 2020
Event	11th IEEE Latin American Symposium on Circuits and Systems, LASCAS 2020 - San Jose, Costa Rica Duration: 25 Feb 2020 → 28 Feb 2020

Publication series

Name	2020 IEEE 11th Latin American Symposium on Circuits and Systems, LASCAS 2020

Conference

Conference	11th IEEE Latin American Symposium on Circuits and Systems, LASCAS 2020
Country/Territory	Costa Rica
City	San Jose
Period	25/02/20 → 28/02/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 2 Zero Hunger

Keywords

Frequency triggers
Internet of Things
nitrates continuous monitoring.

Access to Document

10.1109/LASCAS45839.2020.9069039

Cite this

Hernandez-Alpizar, L., Carrasquilla-Batista, A., & Sancho-Chavarria, L. (2020). IoT Application for Water Quality Monitoring: Nitrates. In 2020 IEEE 11th Latin American Symposium on Circuits and Systems, LASCAS 2020 Article 9069039 (2020 IEEE 11th Latin American Symposium on Circuits and Systems, LASCAS 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/LASCAS45839.2020.9069039

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abstract = "The intensive agricultural fertilization used for large scale food production generates an increase in the concentration of nitrates in water systems, contamination of water for human consumption and eutrophication of surface waters. Therefore, nitrates monitoring is a must practice in a basin receiving high agricultural activity. Discrete and sporadic samples analysis might reveal spatial differences in concentration, but continuous samples analysis gives the information about the origin, hydrological dynamics, transport and the bioprocessing of the nitrates. Here we present a design of an autonomous system for nitrates remote monitoring that uses an adjustable but continuous sampling flow, UV spectroscopy and Internet of Things (IoT) to directly perform and control the system calibration and nitrates quantification and, a strategy to optimize data generation and the monitoring resolution: a conductivity sensor used as a sampling frequency trigger.",

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author = "Laura Hernandez-Alpizar and Arys Carrasquilla-Batista and Lilliana Sancho-Chavarria",

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Hernandez-Alpizar, L , Carrasquilla-Batista, A & Sancho-Chavarria, L 2020, IoT Application for Water Quality Monitoring: Nitrates. in 2020 IEEE 11th Latin American Symposium on Circuits and Systems, LASCAS 2020., 9069039, 2020 IEEE 11th Latin American Symposium on Circuits and Systems, LASCAS 2020, Institute of Electrical and Electronics Engineers Inc., 11th IEEE Latin American Symposium on Circuits and Systems, LASCAS 2020, San Jose, Costa Rica, 25/02/20. https://doi.org/10.1109/LASCAS45839.2020.9069039

IoT Application for Water Quality Monitoring: Nitrates. / Hernandez-Alpizar, Laura ; Carrasquilla-Batista, Arys; Sancho-Chavarria, Lilliana.
2020 IEEE 11th Latin American Symposium on Circuits and Systems, LASCAS 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9069039 (2020 IEEE 11th Latin American Symposium on Circuits and Systems, LASCAS 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - IoT Application for Water Quality Monitoring

T2 - 11th IEEE Latin American Symposium on Circuits and Systems, LASCAS 2020

AU - Hernandez-Alpizar, Laura

AU - Carrasquilla-Batista, Arys

AU - Sancho-Chavarria, Lilliana

PY - 2020/2

Y1 - 2020/2

N2 - The intensive agricultural fertilization used for large scale food production generates an increase in the concentration of nitrates in water systems, contamination of water for human consumption and eutrophication of surface waters. Therefore, nitrates monitoring is a must practice in a basin receiving high agricultural activity. Discrete and sporadic samples analysis might reveal spatial differences in concentration, but continuous samples analysis gives the information about the origin, hydrological dynamics, transport and the bioprocessing of the nitrates. Here we present a design of an autonomous system for nitrates remote monitoring that uses an adjustable but continuous sampling flow, UV spectroscopy and Internet of Things (IoT) to directly perform and control the system calibration and nitrates quantification and, a strategy to optimize data generation and the monitoring resolution: a conductivity sensor used as a sampling frequency trigger.

AB - The intensive agricultural fertilization used for large scale food production generates an increase in the concentration of nitrates in water systems, contamination of water for human consumption and eutrophication of surface waters. Therefore, nitrates monitoring is a must practice in a basin receiving high agricultural activity. Discrete and sporadic samples analysis might reveal spatial differences in concentration, but continuous samples analysis gives the information about the origin, hydrological dynamics, transport and the bioprocessing of the nitrates. Here we present a design of an autonomous system for nitrates remote monitoring that uses an adjustable but continuous sampling flow, UV spectroscopy and Internet of Things (IoT) to directly perform and control the system calibration and nitrates quantification and, a strategy to optimize data generation and the monitoring resolution: a conductivity sensor used as a sampling frequency trigger.

KW - Frequency triggers

KW - Internet of Things

KW - nitrates continuous monitoring.

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U2 - 10.1109/LASCAS45839.2020.9069039

DO - 10.1109/LASCAS45839.2020.9069039

M3 - Contribución a la conferencia

AN - SCOPUS:85084287118

T3 - 2020 IEEE 11th Latin American Symposium on Circuits and Systems, LASCAS 2020

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PB - Institute of Electrical and Electronics Engineers Inc.

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Hernandez-Alpizar L , Carrasquilla-Batista A, Sancho-Chavarria L. IoT Application for Water Quality Monitoring: Nitrates. In 2020 IEEE 11th Latin American Symposium on Circuits and Systems, LASCAS 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9069039. (2020 IEEE 11th Latin American Symposium on Circuits and Systems, LASCAS 2020). doi: 10.1109/LASCAS45839.2020.9069039

IoT Application for Water Quality Monitoring: Nitrates

Abstract

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UN SDGs

Keywords

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