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Research Article

Smart water management system for residential buildings in Saudi Arabia

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Pages 224-237 | Received 29 Jan 2021, Accepted 03 Sep 2021, Published online: 22 Sep 2021

References

  • Al-Omran A, Al-Barakah F, Altuquq A, Aly A, Nadeem M. 2015. Drinking water quality assessment and water quality index of Riyadh, Saudi Arabia. Water Quality Res J. 50(3):287–296. https://doi.org/10.2166/wqrjc.2015.039.
  • Aoudia FA, Gautier M, Magno M, Le Gentil M, Berder O, Benini L. 2018. Long-short range communication network leveraging LoRaTM and wake-up receiver. Microprocess Microsyst. 56(C):184–192. 10.1109/ICSGSC.2017.803858510.1016/j.micpro.2017.12.004.
  • Aqualabo. smart water solutions; [accessed 2020 March 8] https://en.aqualabo.fr/userfiles/doc/Datasheet%20pH%20digital%20sensor%20PHEHT.pdf.
  • Arbués F, Garcıa-Valiñas MA, Martınez-Espiñeira R. 2003. Estimation of residential water demand: a state-of-the-art review. J Socioecon. 32(1):81–102. https://doi.org/10.1016/S1053-5357(03)00005-2.
  • Asaad A, Ahmed E, Qureshi M, Alqahtani J. 2015. Drinking water quality and public health in southwestern Saudi Arabia: The need for a national monitoring program. J Family Commun Med. 22(1):19–24. https://doi.org/10.4103/2230-8229.149581.
  • Babiuch M, Foltýnek P, Smutný P. 2019. Using the ESP32 microcontroller for data. 20th International Carpathian Control Conference (ICCC); Krakow-Wieliczka, Poland. p. 1–6. https://doi.org/10.1109/CarpathianCC.2019.8765944.
  • Banna MH, Imran S, Francisque A, Najjaran H, Sadiq R, Rodriguez M, Hoorfar M. 2014. Online drinking water quality monitoring: review on available and emerging technologies. Crit Rev Environ Sci Technol. 44(12):1370–1421. https://doi.org/10.1080/10643389.2013.781936.
  • Beal CD, Stewart RA, Fielding K. 2013. A novel mixed method smart metering approach to reconciling differences between perceived and actual residential end use water consumption. J Cleaner Prod. 60:116–128. https://doi.org/10.1016/j.jclepro.2011.09.007.
  • Blackwell M. 2010. Making fixed network AMI an integral part of your conservation plan. Proceedings of Smart Water Innovations Conference and Exposition; Las Vegas, USA. p. 6–8.
  • Bonavolontà F, Tedesco A, Moriello R, Tufano A. 2017. Enabling wireless technologies for industry 4.0: state of the art. Proceedings of the 2017 IEEE International Workshop on Measurement and Networking (M & N); Naples, Italy. p. 1–5. https://doi.org/10.1109/IWMN.2017.8078381.
  • Brzozowski C. 2010. Pump technology. Water Efficiency. 5:38–41.
  • Cattani M, Boano C, Römer K. 2017. An experimental evaluation of the reliability of LoRa long-range low-power wireless communication. J Sens Actuator Netw. 6(2):7. https://doi.org/10.3390/jsan6020007.
  • Chalchisa D, Megersa M, Beyene A. 2017. Assessment of the quality of drinking water in storage tanks and its implication on the safety of urban water supply in developing countries. Environ Syst Res. 6(12):1–6. https://doi.org/10.1186/s40068-017-0089-2.
  • Cheong S-M, Choi G-W, Lee H-S. 2016. Barriers and solutions to smart water grid development. Environ Manage. 57:509–515. https://doi.org/10.1007/s00267-015-0637-3.
  • Corral-Verdugo V, Frías-Armenta M. 2006. Personal normative beliefs, antisocial behavior, and residential water conservation. Environ Behav. 38(3):406–421. https://doi.org/10.1177/0013916505282272.
  • Corral-Verdugo V, Frías-Armenta M, Pérez-Urias F, Orduña-Cabrera V, Espinoza-Gallego N. 2002. Residential water consumption, motivation for conserving water and the continuing tragedy of the commons. Environ Manage. 30(4):527–535. https://doi.org/10.1007/s00267-002-2599-5.
  • Dong J, Wang G, Yan H, Xu J, Zhang X. 2015. A survey of smart water quality monitoring system. Environ Sci Pollut Res. 22(7):4893–4906. https://doi.org/10.1007/s11356-014-4026-x.
  • Elkhodr M, Shahrestani S, Cheung H. 2016. Emerging wireless technologies in the internet of things: a comparative study. Int J Wireless Mobile Netw. 8(5):67–82. https://doi.org/10.5121/ijwmn.2016.8505.
  • Espressif Systems. Esp32 series datasheet. [accessed 2020 Jan 10]. https://espressif.com/sites/default/files/documentation/esp32_datasheet_en.pdf.
  • Fayaz SMH, Mafigholami R, Razavian F, Ghasemipanah K. 2019. Correlations between silt density index, turbidity and oxidation-reduction potential parameters in seawater reverse osmosis desalination. Water Sci Eng. 12(2):115–120. https://doi.org/10.1016/j.wse.2019.05.006.
  • Gibbs SG, Meckes MC, Ortiz M, Scarpino PV. 2008. Evaluation of the inhibition of culturable Enterococcus faecium, Escherichia coli, or Aeromonas hydrophilia by an existing drinking water biofilm. J Environ Eng Sci. 7:559–568.
  • Gregory GD, Di Leo MD. 2003. Repeated behavior and environmental psychology: the role of personal involvement and habit formation in explaining water consumption. J Appl Social Psychol. 33(6):1261–1296. https://doi.org/10.1111/j.1559-1816.2003.tb01949.x.
  • Hussein MH, Magram S. 2012. Domestic water quality in Jeddah, Saudi Arabia. JKAU: Eng Sci. 23(1):207–223. https://doi.org/10.4197/Eng. 23-1.9.
  • IFM electronic GMBH. Operating instructions, magnetic-inductive flow meter. [accessed 2020 March 5]. https://www.ifm.com/mounting/80223776UK.pdf.
  • IFTTT. Connect your apps and devices. [accessed 2020 April 10]. https://ifttt.com/.
  • Jiang P, Xia H, He Z, Wang Z. 2009. Design of a water environment monitoring system based on wireless sensor networks. Sensors. 9(8):6411–6434. https://doi.org/10.3390/s90806411.
  • Jones N, Evangelinos K, Gaganis P, Polyzou E. 2011. Citizen’s perceptions on water conservation policies and the role of social capital. Water Resour Manage. 25:509–522. https://doi.org/10.1007/s11269-010-9711-z.
  • Jorgensen B, Graymore M, O’Toole K. 2009. Household water use behavior: an integrated model. J Environ Manage. 91(1):227–236. https://doi.org/10.1016/j.jenvman.2009.08.009.
  • Juárez-Nájera M, Rivera-Martinez JG, Hafkamp WA. 2010. An explorative socio-psychological model for determining sustainable behavior: pilot study in Germany and Mexican Universities. J Cleaner Prod. 18(7):686–694. https://doi.org/10.1016/j.jclepro.2009.09.018.
  • Kamis AS. 2012. Future domestic water demand for Jeddah city. JKAU: Met. Env. Arid Land Agric Sci. 23(2):137–146. https://doi.org/10.4197/Met. 23-2–9.
  • Khutsoane O, Isong B, Abu-Mahfouz A. 2017. IoT devices and applications based on LoRa/LoRaWAN. IECON 2017 – 43rd Annual Conference of the IEEE Industrial Electronics Society; Beijing. p. 6107–6112. https://doi: 10.1109/IECON.2017.8217061.
  • Kolban N. 2017. Kolban’s Book on ESP32. USA: Leanpub. 2017.
  • Kudva V, Nayak P, Rawat A, Anjana G, Kumar KS, Amrutur B, Kumar MM. 2015. Towards a real-time campus-scale water balance monitoring system. 2015 28th International Conference on VLSI Design; Bangalore. p. 87–92. https://doi.org/10.1109/VLSID.2015.20.
  • Lavric A, Popa V. 2017. Internet of things and LoRa TM low-power wide-area networks: a survey. 2017 International Symposium on Signals, Circuits and Systems (ISSCS); Iasi. p. 1–5. https://doi.org/10.1109/ISSCS.2017.8034915.
  • Lazarescu MT. 2013. Design of a WSN platform for long-term environmental monitoring for IoT applications. IEEE J Emerg Sel Top Circuits Syst. 3(10):45–54. https://doi.org/10.1109/JETCAS.2013.2271433.
  • Le Dinh T, Hu W, Sikka P, Corke P, Overs L, Brosnan S. 2007. Design and deployment of a remote robust sensor network: experiences from an outdoor water quality monitoring network. 2007 32nd IEEE Conference on Local Computer Networks; Dublin. p. 799–806. https://doi.org/10.1109/LCN.2007.39.
  • Li Y, Yan X, Zeng L, Wu H. 2017. Research on water meter reading system based on LoRa communication. 2017 IEEE International Conference on Smart Grid and Smart Cities (ICSGSC); Singapore. p. 248–251. https://doi.org/10.1109/ICSGSC.2017.8038585.
  • Light TS, Licht S, Bevilacqua AC, Morash KR. 2005. The fundamental conductivity and resistivity of water. Electrochem. Solid State Lett. 8(1):E16–E19. https://doi.org/10.1149/1.1836121.
  • Manga M, Ngobi TG, Okeny L, Acheng P, Namakula H, Kyaterekera E, Nansubuga I, Kibwami N. 2021. The effect of household storage tanks/vessels and user practices on the quality of water: a systematic review of literature. Environ Syst Res. 10(18):1–26. https://doi.org/10.1186/s40068-021-00221-9.
  • MaxBotix Inc. Designs and manufactures ultrasonic sensors for use in level, proximity, and distance sensing. [accessed 2020 March 5]. https://www.maxbotix.com/documents/I2CXL-MaxSonar-WR_Datasheet.pdf.
  • Momba M, Kaleni P. 2002. Regrowth and survival of indicator microorganisms on the surfaces of household containers used for the storage of drinking water in rural communities of South Africa. Water Res. 36(12):3023–3028. https://doi.org/10.1016/s0043-1354(02)00011-8.
  • Mutchek M, Williams E. 2014. Moving towards sustainable and resilient smart water grids. Challenges. 5(1):123–137. https://doi.org/10.3390/challe5010123.
  • Nasirudin M, Za’bah U, Sidek O. 2011. Fresh water real-time monitoring system based on wireless sensor network and GSM. 2011 IEEE Conference on Open Systems; Langkawi. p. 354–357. https://doi.org/10.1109/ICOS.2011.6079290.
  • Nguyen T. 2016. Energy efficient wireless sensor network and low power consumption station design for an urban water level monitoring system. 2016 3rd National Foundation for Science and Technology Development Conference on Information and Computer Science (NICS); Danang. p. 252–256. https://doi.org/10.1109/NICS.2016.7725660.
  • O'Flynn B, Regan F, Lawlor A, Wallace J, Torres J, O'Mathuna C. 2010. Experiences and recommendations in deploying a real-time, water quality monitoring system. Meas Sci Technol. 21(12):124004. https://doi.org/10.1088/0957-0233/21/12/124004.
  • Patil S, Davande V, Mulani J. 2014. Smart wireless sensor network for monitoring an agricultural environment. Int J Comput Sci Inf Technol. 5(3):3487–3490.
  • Payment P, Waite M, Dufour A. 2003. Introducing parameters for the assessment of drinking water quality. In: A. Dufour, M. Snozzi, W. Koster, J. Bartram, E. Ronchi, L. Fewtrell, editor. Assessing Microbial Safety of Drinking Water: Improving Approaches and Methods. WHO Drinking Water Quality Series, OECD—WHO, Paris, France. London: IWA Publishing; p. 47–77.
  • Piazza S, Sambito M, Freni G, Feo R, Puleo V. 2017. CCWI2017: F6 ‘Optimal positioning of water quality sensors in water distribution networks: comparison of numerical and experimental results’. The University of Sheffield. Journal contribution. https://doi.org/10.15131/shef.data.5364499.v1.
  • Rose S, Long A. 1988. Monitoring dissolved oxygen in groundwater: some basic considerations. Ground Water Monit. 8(1):93–97. https://doi.org/10.1111/j.1745-6592.1988.tb00981.x.
  • Russell S, Fielding K. 2010. Water demand management research: a psychological perspective. Water Resour Res. 46(5):W05302. https://doi.org/10.1029/2009WR008408.
  • Rusydi A. 2018. Correlation between conductivity and total dissolved solid in various type of water: a review. IOP Conf. Series: Earth and Environmental Science, Global Colloquium on GeoSciences and Engineering; Bandung, Indonesia 118. 012019. https://doi.org/10.1088/1755-1315/118/1/012019.
  • Sanchez-Iborra R, Sanchez-Gomez J, Ballesta-Viñas J, Cano M-D, Skarmeta A. 2018. Performance evaluation of LoRa considering scenario conditions. Sensors. 18(3):772. https://doi.org/10.3390/s18030772.
  • Sensorx, Inc. Laboratory ORP electrodes product specification sheet. [accessed 2020 March 6 10]. https://www.sensorex.com/docs/specs/SpecsLabElectrodes-ORP.pdf.
  • Shrenika R, Chikmath S, Kumar A, Divyashree Y, Swamy R. 2017. Non-contact water level monitoring system implemented using labview and arduino. 2017 International Conference on Recent Advances in Electronics and Communication Technology (ICRAECT); Bangalore. p. 306–309. https://doi.org/10.1109/ICRAECT.2017.51.
  • Stoiano I, Nachman L, Pipenet S. 2007. A wireless sensor network for pipeline monitoring. Proceedings of the 6th International Conference on Information Processing in Sensor Networks, IPSN 2007; Cambridge, Massachusetts, USA. p. 264–273. https://doi.org/10.1145/1236360.1236396.
  • Syme GJ, Seligman C, Thomas JF. 1990. Predicting water consumption from homeowners’ attitudes. J Environ Syst. 20(2):157–168. http://dx.doi.org/10.2190/FNV4-VCV2-L1T9-4R62.
  • Texas instruments, TIDA-060024. Design guide: TIDA-060024, ultrasonic proximity-sensing module (PSM) reference design. [accessed 2020 March 5]. https://www.ti.com/lit/ug/tiduek5/tiduek5.pdf?ts=1603628041493&ref_url=https%253A%252F%252Fwww.ti.com%252Fproduct%252FPGA460-Q1.
  • Texas instruments, TPS6102x. TPS6102x96% efficient synchronous boost converter. [accessed 2020 Feb. 10]. http://www.ti.com/lit/ds/symlink/tps61025.pdf.
  • The Environmental Protection Agency, Ireland. 2001. Parameters of water quality interpretation and standards. [accessed 2020 Feb. 1]. https://www.epa.ie/pubs/advice/water/quality/Water_Quality.pdf.
  • Thompson K, Kadiyala R. 2014. Protecting water quality and public health using a smart grid. Proc Eng. 70:1649–1658. https://doi.org/10.1016/j.proeng.2014.02.182.
  • UBIDOTS STEM. Data drives decisions. [accessed 2020 April 15]. https://ubidots.com/.
  • Wetzel R, Likens G. 2000. Dissolved oxygen. In: R. Wetzel, G. Likens, editor. Limnological analyses. New York: Springer; p. 73–84. https://doi.org/10.1007/978-1-4757-3250-4_6.
  • Xie RJ, Tan EK, Puah AN. 2009. Oxidation-reduction potential in saline water reverse osmosis membrane desalination and its potential use for system control. Desalina Water Treatment. 3(1–3):193–203. https://doi.org/10.5004/dwt.2009.460.
  • Yoddumnern A, Chaisricharoen R, Yooyativon T. 2018. Cloud based WiFi multi-sensor network. Int. J. Online Eng (iJOE). 14(8):35–51. https://doi.org/10.3991/ijoe.v14i08.8536.
  • Yokotani T, Sasaki Y. 2016. Comparison with HTTP and MQTT on required network resources for IoT. Proceedings of the 2016 International Conference on Control, Electronics, Renewable Energy and Communications (ICCEREC); Bandung, Indonesia. p. 1–6. https://doi.org/10.1109/ICCEREC.2016.7814989.
  • Zhu X, Li D, He D, Wang J, Ma D, Li F. 2010. A remote wireless system for water quality online monitoring in intensive fish culture. Comput Electron Agriculture. 71:S3–S9. https://doi.org/10.1016/j.compag.2009.10.004.

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