IoT-based Water Monitoring with Geologic Mapping

Hidear  Talirongan,; Emilyn  T. Aringa,; Holden Kit  E. Villarimo,; Jerry  M. Lumasag,; Mark Jayson  F. Mabanag,; Rolysent  K. Paredes,; Roseclaremath  A. Caroro,

IoT-based Water Monitoring with Geologic Mapping

Abstract:

This study focused on real-time water quality monitoring that is useful to local water source facilities using the benefits of IoT. The system implementation with Arduino Uno, turbidity, total dissolved solids, odor, and colorimetric sensors ensures that the water supplied to the consumers is clean and potable. Also, the platform uses a web application to monitor the real-time data from the devices with geologic mapping to provide findings needed for decision-making. Moreover, the accuracy testing of the device based on the ten samples resulted in a 97.5% accuracy rate, which denotes that the sensors passed the standard requirement as stipulated by the World Health Organization. Furthermore, for the accuracy of the individual sensors, the testing for turbidity is 90%, total dissolved solids is 100%, odor is 100%, and color is 100% based on the given samples. Furthermore, the system evaluation showed that the system is accurate in its real-time data gathering through the sensor, has commendable functionality and reliability, and is very usable in guiding the users and identifying the roles of each user in the system.

References:

Adelodun, B., Ajibade, F. O., Ighalo, J. O., Odey, G., Ibrahim, R. G., Kareem, K. Y., ... & Choi, K. S. (2021). Assessment of socioeconomic inequality based on virus-contaminated water usage in developing countries: a review. Environmental Research, 192, 110309.
Ahmed, T., Zounemat-Kermani, M., & Scholz, M. (2020). Climate change, water quality and water-related challenges: a review with focus on Pakistan. International Journal of Environmental Research and Public Health, 17(22), 8518.
Alipio, M. I. (2020). Towards developing a classification model for water potability in Philippine rural areas. ASEAN Engineering Journal, 10(2).
Buntaine, M. T., Zhang, B., & Hunnicutt, P. (2021). Citizen monitoring of waterways decreases pollution in China by supporting government action and oversight. Proceedings of the National Academy of Sciences, 118(29), e2015175118.
Dutta, J., Roy, S., & Chowdhury, C. (2019). Unified framework for IoT and smartphone based different smart city related applications. Microsystem Technologies, 25, 83-96.
Galang, E. I. N. E., Rosas, A. J., & Samonte, P. (2023). Local Knowledge on Water Use and Water-Related Ecosystem Services in Lowland, Midland, and Upland Villages in Mindanao, Philippines. In Indigenous and Local Water Knowledge, Values and Practices (pp. 199-218). Singapore: Springer Nature Singapore.
Geetha, N. (2021). IoT based smart water quality monitoring system. International Journal of Nonlinear Analysis and Applications, 12(Special Issue), 1665-1671.
Guo, H., Li, X., Yang, W., Yao, Z., Mei, Y., Peng, L. E., ... & Tang, C. Y. (2022). Nanofiltration for drinking water treatment: a review. Frontiers of Chemical Science and Engineering, 1-18.
Guo, J., Zuo, P., Yang, L., Pan, Y., & Wang, L. (2021). Quantitative identification of non-point sources of nitrate in urban channels based on dense in-situ samplings and nitrate isotope composition. Chemosphere, 263, 128219.
Hasan, H. A., & Muhammad, M. H. (2020). A review of biological drinking water treatment technologies for contaminants removal from polluted water resources. Journal of Water Process Engineering, 33, 101035.
Javed, A. R., Shahzad, F., ur Rehman, S., Zikria, Y. B., Razzak, I., Jalil, Z., & Xu, G. (2022). Future smart cities: Requirements, emerging technologies, applications, challenges, and future aspects. Cities, 129, 103794.
Lakshmikantha, V., Hiriyannagowda, A., Manjunath, A., Patted, A., Basavaiah, J., & Anthony, A. A. (2021). IoT based smart water quality monitoring system. Global Transitions Proceedings, 2(2), 181-186.
Lee, D., Gibson, J. M., Brown, J., Habtewold, J., & Murphy, H. M. (2023). Burden of disease from contaminated drinking water in countries with high access to safely managed water: A systematic review. Water Research, 120244.
Liu, P., Wang, J., Sangaiah, A. K., Xie, Y., & Yin, X. (2019). Analysis and prediction of water quality using LSTM deep neural networks in IoT environment. Sustainability, 11(7), 2058.
Lombardi, M., Pascale, F., & Santaniello, D. (2021). Internet of things: A general overview between architectures, protocols and applications. Information, 12(2), 87.
Mezni, H., Driss, M., Boulila, W., Atitallah, S. B., Sellami, M., & Alharbi, N. (2022). Smartwater: A service-oriented and sensor cloud-based framework for smart monitoring of water environments. Remote Sensing, 14(4), 922.
Mondejar, M. E., Avtar, R., Diaz, H. L. B., Dubey, R. K., Esteban, J., Gómez-Morales, A., ... & Garcia-Segura, S. (2021). Digitalization to achieve sustainable development goals: Steps towards a Smart Green Planet. Science of The Total Environment, 794, 148539.
Ntajal, J., Höllermann, B., Falkenberg, T., Kistemann, T., & Evers, M. (2022). Water and Health Nexus—Land Use Dynamics, Flooding, and Waterborne Diseases in the Odaw River Basin, Ghana. Water, 14(3), 461.
Rahman, H. A. (2021). Water Issues in Malaysia. Int. J. Acad. Res. Bus. Soc. Sci, 11, 860-875.
Razzaq, S. S., Zubair, A., Naz, S. A., Yasmeen, K., Shafique, M., Jabeen, N., & Magsi, A. (2020). Detection of Hazardous Contaminants in Ground Water Resources: An Alarming Situation for Public Health in Karachi, Pakistan. Pakistan Journal of Analytical & Environmental Chemistry, 21(2), 322-331.
Salam, A. (2020). Internet of things for sustainable community development: introduction and overview. In Internet of Things for Sustainable Community Development (pp. 1-31). Springer, Cham.
Salih, B. A., & Muhammad, G. J. (2022). Urban District-Based Water Quality Mentoring by using IOT. International Research Journal of Innovations in Engineering and Technology, 6(12), 1.
Shammar, E. A., & Zahary, A. T. (2020). The Internet of Things (IoT): a survey of techniques, operating systems, and trends. Library Hi Tech, 38(1), 5-66.
Sharma, K., Anand, D., Sabharwal, M., Tiwari, P. K., Cheikhrouhou, O., & Frikha, T. (2021). A disaster management framework using internet of things-based interconnected devices. Mathematical Problems in Engineering, 2021, 1-21.
Shen, M., Song, B., Zhu, Y., Zeng, G., Zhang, Y., Yang, Y., ... & Yi, H. (2020). Removal of microplastics via drinking water treatment: Current knowledge and future directions. Chemosphere, 251, 126612.
Smitha, N., & Kumar, S. (2023). Study of influence of environmental variables on water quality parameters of Thippayya Lake of Mysore, India. World Journal of Advanced Research and Reviews, 17(1), 1218-1228.
Srinivas, R., Singh, A. P., Dhadse, K., & Garg, C. (2020). An evidence based integrated watershed modelling system to assess the impact of non-point source pollution in the riverine ecosystem. Journal of cleaner production, 246, 118963. WHO and UNICEF. (2015).
WHO and UNICEF Progress on Sanitation and Drinking Water: 2015 Update and MDG Assessment (2015).
Xu, H., Tan, X., Liang, J., Cui, Y., & Gao, Q. (2022). Impact of agricultural non-point source pollution on river water quality: evidence from China. Frontiers in Ecology and Evolution, 10, 858822.