Design Configuration of Water Quality Monitoring System in Surabaya: Design Configuration of Water Quality Monitoring System in Surabaya

Anifatul Faricha; Dimas Adiputra; Isa Hafidz; Moch. Iskandar Riansyah; Lora Khaula Amifia; Moch. Fauzan Rasyid; Moch. Bagus Indrastata; Abdulloh Hamid Nushfi

doi:10.52435/complete.v1i1.43

Authors

Anifatul Faricha Institut Teknologi Telkom Surabaya
Dimas Adiputra Institut Teknologi Telkom Surabaya
Isa Hafidz Institut Teknologi Telkom Surabaya
Moch. Iskandar Riansyah Institut Teknologi Telkom Surabaya
Lora Khaula Amifia Institut Teknologi Telkom Surabaya
Moch. Fauzan Rasyid
Moch. Bagus Indrastata
Abdulloh Hamid Nushfi

DOI:

https://doi.org/10.52435/complete.v1i1.43

Keywords:

Water quality monitoring; area; parameter; methodology; internet of things; data collection; real-time; remote; distribution network; Surabaya.

Abstract

Water have been important needs for human life in many sectors such as in industry, agriculture, and household that its quality must be conserved so is in Surabaya city. The quality of water could influence the quality of human life directly, thus it is important to have an integrated water quality monitoring system. Information regarding water quality monitoring such as pH, dissolved oxygen, turbidity, and conductivity were collected to produce a periodic decision for controlling, analyzing, and fixing the condition of the water. This paper proposed a design configuration of water quality monitoring system for tap water in Surabaya. First, a comparison study of water quality monitoring technology in terms of area, parameter, and methodology from the previous researchers is presented. From the study, the design configuration of water quality monitoring system to be implemented in Surabaya is concluded. The data collection method is better to be done by using Internet of Things (IoT) technology where it is possible to do multiple data type and multiple point real-time data collection throughout the water distribution network remotely.

References

Fang, S., Xu, L. Da, Zhu, Y., Ahati, J., Pei, H., Yan, J., & Liu, Z. (2014). An integrated system for regional environmental monitoring and management based on internet of things. IEEE Transactions on Industrial Informatics, 10(2), 1596–1605.http://doi.org/10.1109/TII.2014.2302638

Wu, C., Liu, W., Jiang, J., Wang, Y., Hou, K., & Li, H. (2019). An in-source helical membrane inlet single photon ionization time-of-flight mass spectrometer for automatic monitoring of trace VOCs in water. Talanta, 192, 46–51.http://doi.org/10.1016/j.talanta.2018.09.013

Henny Gusril. (2016). Studi Kualitas Air Minum PDAM di Kota Duri Riau. Jurnal Geografi, 8(2), 190-196.https://doi.org/10.24114/jg.v8i2.5783

Khan, R., Khan, S. U., Zaheer, R., & Khan, S. (2012). Future internet: The internet of things architecture, possible applications and key challenges. Proceedings -10th International Conference on Frontiers of Information Technology, FIT 2012, 257–260.http://doi.org/10.1109/FIT.2012.53

Chang, N. Bin, Imen, S., & Vannah, B. (2015). Remote sensing for monitoring surface water quality status and ecosystem state in relation to the nutrient cycle: A 40-year perspective. Critical Reviews in Environmental Science and Technology, 45(2), 101–16

http://doi.org/10.1080/10643389.2013.8299816.Ray, P. P., & Thapa, N. (2018). A systematic review on real-time automated measurement of IV fluid level: Status and challenges. Measurement: Journal of the International Measurement Confederation 129(September 2017), 343–348.http://doi.org/10.1016/j.measurement.2018.07.046

Wang, G., Wang, Q., & Li, F. (2018). A U-shape shear horizontal waveguide sensor for on-line monitoring of liquid viscosity. Sensors and Actuators, A: Physical, 284,35–41.http://doi.org/10.1016/j.sna.2018.10.017

Daskalakis, S. N., Goussetis, G., Assimonis, S. D.,Tentzeris,M. M., & Georgiadis, A. (2018). A uW Backscatter-Morse-Leaf Sensor for Low-Power Agricultural Wireless Sensor Networks. IEEE Sensors Journal, 18(19), 7889–7898.http://doi.org/10.1109/JSEN.2018.2861431

Vijayakumar, N., & Ramya, R. (2015). The Real Time Monitoring of Water Quality in IoT Environment. IEEE Sponsored 2nd International Conference on Innovations in Information,Embedded and CommunicationSystems (ICIIECS)2015.

Perumal, T., Sulaiman, M. N., & Leong, C. Y. (2016). Internet of Things (IoT) enabled water monitoring system.2015 IEEE 4th Global Conference on Consumer Electronics, GCCE 2015, 86–87.http://doi.org/10.1109/GCCE.2015.7398710

Hunaidi, O., & Chu, W. T. (1999). Acoustical characteristics of leak signals inplastic water distribution pipes. Applied Acoustics, 58(3), 235–254.http://doi.org/10.1016/S0003-682X(99)00013-4

Chen, H., Wu, C., Huang, W., Wu, Y., & Xiong, N. (2018). Design and application of system with dual-control of water and electricity based on wireless sensor network and video recognition technology. International Journal of Distributed Sensor Networks, 14(9).http://doi.org/10.1177/1550147718795951

Asheri-Arnon, T., Ezra, S., & Fishbain, B. (2018). Contamination Detection of Water with Varying Routine Backgrounds by UV-Spectrophotometry. Journal of Water Resources Planning and Management, 144(9), 4018056.http://doi.org/10.1061/(ASCE)WR.1943-5452.0000965

Yuan, Y., Feng, S., Alahi, M., Nag, A., Afsarimanesh, N., Zhang, H., & He, S. (2018). Development of an Internet of Things Based Electrochemical Microfluidic System for Free Calcium Detection. Applied Sciences, 8(8), 1357.http://doi.org/10.3390/app8081357

Adeyemi, O., Grove, I., Peets, S., Domun, Y., & Norton, T. (2018). Dynamic modelling of lettuce transpiration for water status monitoring. Computers and Electronics in Agriculture, 155(September),50–57.http://doi.org/10.1016/j.compag.2018.10.008

Shixian, Z., & Rui, X. (2018). Research and development of water quality online monitoring system based on Internet of things technology. Desalination and Water Treatment, 122, 25–29.http://doi.org/10.5004/dwt.2018.22586

TongKe, F. (2013). Smart Agriculture Based on Cloud Computing and IOT. Journal of Convergence Information Technology, 8(2), 210–216.http://doi.org/10.4156/jcit.vol8.issue2.26

Esakki,B.,Ganesan,S.,Mathiyazhagan,S., Ramasubramanian, K., Gnanasekaran, B., Son, B., Choi, J. S. (2018). Design of amphibious vehicle for unmanned mission in water quality monitoring using internet of things. Sensors (Switzerland), 18(10).http://doi.org/10.3390/s18103318

Ahadi, M., & Bakhtiar, M. S. (2010). Leak detection in water-filled plastic pipes through the application of tuned wavelet transforms to Acoustic Emission signals. Applied Acoustics, 71(7), 634–639.http://doi.org/10.1016/j.apacoust.2010.02.006

Poulakis, Z., Valougeorgis, D., & Papadimitriou, C. (2003). Leakage detection in water pipe networks using a Bayesian probabilistic framework. Probabilistic Engineering Mechanics, 18(4), 315–327.http://doi.org/10.1016/S0266-8920(03)00045-6

Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013). Internet of Things (IoT) A vision, architectural elements, and future directions. Future Generation Computer Systems, 63(3), 16–18.http://doi.org/10.1016/j.future.2013.01.01010

Silva Girão, P., Postolache, O., & Pereira, J. D. (2014). Wireless sensor network-based solution for environmental monitoring: water quality assessment case study. IET Science, Measurement & Technology, 8(6), 610–616.http://doi.org/10.1049/iet-smt.2013.0136

Yamaguchi, Y., Fujino, Y., Katsuda, H., Nakano, M., Fukumoto, H., Teruhi, S., ... Yoshino, S. (2018). Underground Infrastructure Management System using Internet of Things Wireless Transmission Technology. IEICE Transactions on Electronics, E101.C(10), 727–733.http://doi.org/10.1587/transele.E101.C.727

Muggleton, J. M., Brennan, M. J., & Pinnington, R. J. (2003). Wavenumber prediction of waves in buried pipes for water leak detection. Journal of Sound and Vibration, 249(5), 939–954.http://doi.org/10.1006/jsvi.2001.3881

Simi, M., Member, S., Stojanovi, G. M., & Manjakkal, L. (2016). Multi-Sensor System for Remote Environmental (Air andWater)QualityMonitoring.201624th Telecommunications Forum (TELFOR), 5–8.http://doi.org/10.1109/TELFOR.2016.7818711

Saravanan, K., Anusuya, E., Kumar, R., & Son, L. H. (2018). Real-time water quality monitoring using Internet of Things in SCADA. Environmental Monitoring and Assessment, 190(9).http://doi.org/10.1007/s10661-018-6914-x

Meyer, A. M., Klein, C., Fünfrocken, E., Kautenburger, R., & Beck, H. P. (2019). Real-time monitoring of water quality to identify pollution pathways in small and middle scale rivers. Science of the Total Environment, 651, 2323–2333.http://doi.org/10.1016/j.scitotenv.2018.10.069

Buysschaert, B., Vermijs, L., Naka, A., Boon, N., & De Gusseme, B. (2018). Online flow cytometric monitoring of microbial water quality in a full-scale water treatment plant. Npj Clean Water, 1(1), 16.http://doi.org/10.1038/s41545-018-0017-7

Schultz, W., Javey, S., & Sorokina, A. (2018). Smart Water Meters and Data Analytics Decrease Wasted Water Due to Leaks. Journal -American Water Works Association, 110(11), E24–E

http://doi.org/10.1002/awwa.112430.Koo, D., Piratla, K., & Matthews, C. J. (2015). Towards Sustainable Water Supply: Schematic Development of Big Data Collection Using Internet of Things (IoT). Procedia Engineering, 118,489–497. http://doi.org/10.1016/j.proeng.2015.08.465

SeanDieter,T.K.,NagenderKumar,S.,&SubhasChandra,M. (2013). Towards the Implementation of IoT for Environmental Condition Monitoring in Homes. IEEE Sensors Journal, 13(10), 67–69.http://doi.org/10.1109/JSEN.2013.2263379.