Automatic Rainwater Quality Monitoring System Using Low-Cost Technology

Author:

Mejía-Ferreyra Luis Daniel1,García-Romero Liliana1,Sánchez-Quispe Sonia Tatiana1,Apolinar-Cortés José2,Orantes-Avalos Julio César3

Affiliation:

1. Faculty of Civil Engineering, Universidad Michoacana de San Nicolás de Hidalgo, Morelia 58030, Mexico

2. Faculty of Chemical Engineering, Universidad Michoacana de San Nicolás de Hidalgo, Morelia 58030, Mexico

3. Faculty of Biology, Universidad Michoacana de San Nicolás de Hidalgo, Morelia 58030, Mexico

Abstract

Water quality monitoring serves diverse purposes, such as assessing water safety for drinking or agriculture. However, traditional methods are often time-consuming and costly. Additionally, assessing water quality on demand is not always feasible, and parameter variations are not consistently documented. With the advent of affordable equipment capable of efficient performance with minimal resources, remote monitoring sans physical access to the environment has become viable. This has led to reduced inspection and control costs. Understanding the applications, characteristics, and limitations of these devices is crucial for maximizing their benefits. Rainwater quality remains understudied in many areas, leaving its physical, chemical, and microbiological conditions unknown. These conditions are influenced by various atmospheric factors, including both human and natural activities. This research paper develops monitoring stations employing low-cost technology to assess rainwater quality in Morelia City. A prototype was developed based on low-cost technology implementation. Additionally, basic parameters measured include pH, total dissolved solids, turbidity, and temperature, utilizing an Arduino microcontroller for data processing. Data collected from these stations are transmitted via a Wi-Fi communication module to a web platform, enabling real-time visualization of measurements both spatially and temporally. Utilizing such a device offers several advantages compared to standard methods of assessing rainwater quality. It enables continuous measurements and provides a record of how rainwater quality is affected over time by human and natural activities.

Funder

Institute of Science, Technology and Innovation of Michoacán

Publisher

MDPI AG

Reference40 articles.

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