CFP last date
20 May 2024
Reseach Article

Measuring Water Quality using Arduino and Turbidity Sensor

by Daneshwari N. Kori, Rajashekarappa
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 184 - Number 36
Year of Publication: 2022
Authors: Daneshwari N. Kori, Rajashekarappa
10.5120/ijca2022922450

Daneshwari N. Kori, Rajashekarappa . Measuring Water Quality using Arduino and Turbidity Sensor. International Journal of Computer Applications. 184, 36 ( Nov 2022), 1-4. DOI=10.5120/ijca2022922450

@article{ 10.5120/ijca2022922450,
author = { Daneshwari N. Kori, Rajashekarappa },
title = { Measuring Water Quality using Arduino and Turbidity Sensor },
journal = { International Journal of Computer Applications },
issue_date = { Nov 2022 },
volume = { 184 },
number = { 36 },
month = { Nov },
year = { 2022 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume184/number36/32545-2022922450/ },
doi = { 10.5120/ijca2022922450 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:23:15.305772+05:30
%A Daneshwari N. Kori
%A Rajashekarappa
%T Measuring Water Quality using Arduino and Turbidity Sensor
%J International Journal of Computer Applications
%@ 0975-8887
%V 184
%N 36
%P 1-4
%D 2022
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Turbidity a key idea in the context of liquids since it is an important part of liquid dynamics and is also used to determine the calibre of water. The degree to which a liquid is cloudy or opaque is referred to as turbidity. This happens because as air is compressed, it is filled with countless small invisible particles that resemble white smoke. A liquid's turbidity is directly inversely correlated with the amount of free suspended particles, which means that as the number of particles rises, so will the turbidity. Light waves scatter when they travel through liquids because of these microscopic particles. So let's talk about what turbidity is and how to use an Arduino to test the turbidity of a liquid in this lesson. It is possible to connect an Arduino to a pH metre and to further evaluate the water's purity, check its pH-level. The evaluation of amount of the transparency loss brought on by water's suspended particles. The TSS (Total Suspended Solids) could be estimated using a measurement of turbidity. The Arduino turbidity sensor measures the amount of turbidity to assess the water's quality. The rate of light scattering and transmission, that can be used to evaluate whether there are suspended particles in water, are influenced by the concentration of TSS.

References
  1. Irish Franz Almojela, Shyla Mae Gonzales, Karen Gutierrez, Adonis S. Santos, Francis A. Malabanan, Jay Nickson T. Tabing, Christopher B. Escarez, “WatAr: An Arduino-based Drinking Water Quality Monitoring System using Wireless Sensor Network and GSM Module”, 2020 IEEE REGION 10 CONFERENCE (TENCON), no. 6, 16-19 November, Osaka Japan, 2020.
  2. Fhranz Marc Lou S. Alimorong, Haziel Anne D. Apacionado, Jocelyn Flores Villaverde, “Arduino-based Multiple Aquatic Parameter Sensor Device for Evaluating pH, Turbidity, Conductivity and Temperature”, 2020 IEEE 12th International Conference on Humanoid Nanotechnology Information Technology Communication and Control Environment and Management (HNICEM), no. 5, 03-07 December, Manila Philippines, 2020.
  3. L. Lakshmanan, Jesudoss A, Sivasangari A, Sardar Maran and Mercy Theresa M, “Analysis of the Water Quality Monitoring System”, 2020 International Conference on Communication and Signal Processing (ICCSP), no. 4, 28-30 July, Chennai India, 2020.
  4. Raji C.G,Thasleena V.A, Liloja, Mohammed Shahzad, “IOT Based Water Quality Monitoring with Android Application”, 2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), no. 6, 12-14 December, Palladam India, 2019.
  5. Monira Mukta, Samia Islam, Surajit Das Barman, Ahmed Wasif Reza, M Saddam Hossain Khan, “IoT based Smart Water Quality Monitoring System”, 2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS), no. 5, 23-25 February, Singapore, 2019.
  6. Yuliarman Saragih, Gilang Ramadhany Hakim, Agatha Elisabet S, Hasna Aliya Roostiani, “Monitoring Design of Methods and Contents Methods in Semi Real Water Tandon by Using Arduino –based on Internet of Things”, 2019 4th International Conference and Workshops on Recent Advances and Innovations in Engineering (ICRAIE), no. 4, 27-29 November, Kedah Malaysia, 2019.
  7. Durgesh Pant, Ashutosh Bhatt, Muneer Khan, O.P. Nautiyal, Pankaj Adhikari, “Automated IoT based Smart Water Quality Assessment System”, 2019 8th International Conference System Modeling and Advancement in Research Trends (SMART), no. 7, 22-23 November, Moradabad India, 2019.
  8. Muhammad Usman Tahir, Syed Muhammad Ahsan, Syed Muhammad Arif, Muhammad Abdullah, “GSM Based Advanced Water Quality Monitoring System Powered by Solar Photovoltaic System”, Australasian Universities Power Engineering Conference (AUPEC), no. 5, 27-30 November, Auckland New Zealand, 2018.
  9. Vaishnavi V. Daigavane and Dr. M.A Gaikwad, “Water Quality Monitoring System Based on IOT”, Research India Publications, no. 10, 2017.
  10. S.Barath Raj, P.Hari Prasad, S.Prasath, A.Moorthy, ”Water Quality Monitoring SystemUsing Arduino”, International Journals, no. 6, 2020.
  11. Wong Jun Hong, Norazanita Shamsuddin, Emeroylariffifion Abas, “Water Quality Monitoring with Arduino Based Sensors”, MDPI, no. 15, 14 January 2021.
  12. Nageswara Rao Moparthi; Ch. Mukesh; P. Vidya Sagar,“Water Quality Monitoring System Using IOT”, 2018 Fourth International Conference on Advances in Electrical Electronics Information Communication and Bio-Informatics (AEEICB), no. 5, 27-28 February, Chennai India, 2018.
  13. Ajith Jerom B,  R. Manimegalai, R. Manimegalai, “An IoT Based Smart Water Quality Monitoring System using Cloud”, 2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE), no. 7, 24-25 February, Vellore India, 2020.
  14. Nikhil Kumar Koditala, Purnendu Shekar Pandey, “Water Quality Monitoring System using IoT and Machine Learning”,  2018 International Conference on Research in Intelligent and Computing in Engineering (RICE), no. 5, 22-24 August , San Salvador El Salvador, 2018.
  15. Shabinar Abdul Hamid, Ahmad Mustaqim Abdu Rahim, Solahuddin Yusuf Fadhlullah, Samihah Abdullah, Zuraida Muhammad, Nor Adni Mat Leh, “IoT based Water Quality Monitoring System and Evaluation”,  2020 10th IEEE International Conference on Control System, Computing and Engineering (ICCSCE), no. 5, 21-22 August, Penang Malaysia, 2020.
  16. https://circuitdigest.com
  17. Maneesha V. Ramesh, K. V. Nibi, Anupama Kurup, Renjith Mohan, A. Aiswarya, A. Arsha, P. R. Sarang, “Water Quality Monitoring and Waste Management using IoT”, 2017 IEEE Global Humanitarian Technology Conference (GHTC), no. 7, 19-22 October, San Jose CA USA, 2017.
  18. Chenwei Feng, Jiangnan Yuan, Yu Sun, Junming You, “Design of Water Quality Monitoring System”, 2020 International Conference on Artificial Intelligence and Computer Engineering (ICAICE), no. 4, 23-25 October, Beijing China, 2020.
  19. Muhammad Niswar; Sonny Wainalang; Amil A. Ilham; Zahir Zainuddin; Yushinta Fujaya; Zaenab Muslimin, “IoT-based Water Quality Monitoring System for Soft-Shell Crab Farming”,  2018 IEEE International Conference on Internet of Things and Intelligence System (IOTAIS), no. 4, 01-03 November, Bali Indonesia, 2018.
Index Terms

Computer Science
Information Sciences

Keywords

Arduino Turbidity module Water Quality Measurement