Smart Iot-Based Water Quality Monitoring System For Lake Management And Environmental Protection

The conservation of water ecosystems and the availability of potable water sources depends on protecting the quality of aquatic resources such as ponds, rivers, and wells. As the traditional monitoring techniques comes with limitations, probability of inaccurate results, need heavy investment, we opted to this sophisticated tool to monitor. We are exposing the significant wireless-operated system when we are connected to the internet, and offline, it will store information in the smartphone by using the Arduino (ESP32) microcontroller. We are collecting the data using six sensors for important parameters: pH, TDS, turbidity, humidity, and temperature in Celsius and Fahrenheit by collecting the water samples across the pond. When the device is linked to a wireless network, the data will be kept in Think Speak servers for concurrent monitoring, and the gathered real-time information will be saved as text in the serial USB terminal of the mobile application. The proposed system was proven in testing the samples from lakes of Bengaluru Urban District, Karnataka: Seetharamapalya Lake, Nalluruhalli Lake and Hoodi Lake, and lakes of YSR Kadapa District, Andhra Pradesh, such as Chadipiralla Lake, Kamalapuram Lake and Devuni Kadapa Lake. Out of the tested, samples of Seetharampalya lake and Devuni Kadapa Lake are found not suitable for drinking due to high TDS. The proposed system is very accurate, as we are using sophisticated sensors that were tested before by real testing solutions to check accuracy, and they have proven correct. The proposed system is compact and easy to carry and can monitor remote areas compared with traditional methods to monitor water quality.

Authors

Publication Details

Journal
International Journal of Environmental Sciences
Published
2025-05-05
DOI
https://doi.org/10.64252/fqsj9f15
Primary Topic
Water Quality Monitoring Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Smart Iot-Based Water Quality Monitoring System For Lake Management And Environmental Protection

M. Venkata Narayana, Ankireddypalli Vyshnavi, Ch. Mohammad Akram
1 links
International Journal of Environmental Sciences
Water Quality Monitoring Technologies
article

Smart Iot-Based Water Quality Monitoring System For Lake Management And Environmental Protection

M. Venkata Narayana, Ankireddypalli Vyshnavi, Ch. Mohammad Akram
article en

Abstract

The conservation of water ecosystems and the availability of potable water sources depends on protecting the quality of aquatic resources such as ponds, rivers, and wells. As the traditional monitoring techniques comes with limitations, probability of inaccurate results, need heavy investment, we opted to this sophisticated tool to monitor. We are exposing the significant wireless-operated system when we are connected to the internet, and offline, it will store information in the smartphone by using the Arduino (ESP32) microcontroller. We are collecting the data using six sensors for important parameters: pH, TDS, turbidity, humidity, and temperature in Celsius and Fahrenheit by collecting the water samples across the pond. When the device is linked to a wireless network, the data will be kept in Think Speak servers for concurrent monitoring, and the gathered real-time information will be saved as text in the serial USB terminal of the mobile application. The proposed system was proven in testing the samples from lakes of Bengaluru Urban District, Karnataka: Seetharamapalya Lake, Nalluruhalli Lake and Hoodi Lake, and lakes of YSR Kadapa District, Andhra Pradesh, such as Chadipiralla Lake, Kamalapuram Lake and Devuni Kadapa Lake. Out of the tested, samples of Seetharampalya lake and Devuni Kadapa Lake are found not suitable for drinking due to high TDS. The proposed system is very accurate, as we are using sophisticated sensors that were tested before by real testing solutions to check accuracy, and they have proven correct. The proposed system is compact and easy to carry and can monitor remote areas compared with traditional methods to monitor water quality.

International Journal of Environmental SciencesVol. 11(3s)
Openalex Percentile: Top 81%
Water Quality Monitoring Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.