Smart City Gnosys

Smart city article details

Title Design And Development Of Ai-Based Low-Cost Effective Prototype For Early-Warning And Monitoring Of Urban Flash Floods In Smart Cities
ID_Doc 18466
Authors Gopinath R.; Anupama H.S.; Pradhan H.; Dennis K.; Regmi P.; Aishwarya M.
Year 2025
Published Lecture Notes in Civil Engineering, 413 LNCE
DOI http://dx.doi.org/10.1007/978-981-97-7699-3_6
Abstract Inorganic town-planning, ill-managed drains and loss of lakes are among the unsustainable implications of rampant urbanization. Consequently, urban flooding has since then always posed an impending threat to the life-forms, their lifestyle and habitat. With the advent of climate change, the pattern and intensity of urban flash floods have since then only become more frequent and unpredictable. Under a Smart City concept, this environmental issue has since then opened avenues for monitoring the same with IoT based technologies as part of surveillance systems under the ambit of Disaster Mitigation and Management. Further introduction of this system into a traditional city, with site-specific amendments would be the way forward. In the present study, an earnest effort was undertaken to design and develop a low-cost simple and effective AI based prototype which would serve as an early-warning system to strengthen emergency response preparedness for even a non-smart city, in the event of any flash floods. The basic components of the fabricated prototype developed in this study encompasses hollow corrosion-resistant concentric cylinders weighing 2 kg with a white-painted stainless-steel frame, an ultrasonic sensor ranging module HC-SR04 for data acquisition, Arduino UNO microcontroller, camera for remote visual monitoring, filter-mesh to facilitate easy screening of any air-laden suspended impurities, and tapered funnel inlet etc. The real-time output (rainfall intensity, herewith expressed as mm/sec) is steadily received as an excel-file attachment viz. email to designated addressee for continuous monitoring towards any probable rapid influx. Statistical validation of the prototype under real-time and laboratory conditions was successfully accomplished using the Parametric ‘t-test’. It was found there existed no significant difference between the population means, therewith confirming the reliability of the device. Upon Commissioning at designated observatories, the functional prototype would serve to safeguard all life-forms and be most sought for applications by Disaster Monitoring Centre’s and Town Planning Authorities. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
Author Keywords Disaster; Flooding; Prototype; Sensor; Urban; Validation


Similar Articles


Id Similarity Authors Title Published
35740 View0.891Frontera-Bergas M.; Mestre-Sansó F.; Sanchez R.; Isern E.; Alorda-Ladaria B.Low-Cost Water Level Sensor With Improved Data Quality For Flash Flood Monitoring In Urban AreasProceedings of IEEE Sensors (2024)
4780 View0.881Salehin I.; Baki-Ul-Islam; Noman S.M.; Hasan M.M.; Dip S.T.; Hasan M.A Smart Polluted Water Overload Drainage Detection And Alert System: Based On Iot2021 International Mobile, Intelligent, and Ubiquitous Computing Conference, MIUCC 2021 (2021)
18453 View0.879Basnyat B.; Singh N.; Roy N.; Gangopadhyay A.Design And Deployment Of A Flash Flood Monitoring Iot: Challenges And OpportunitiesProceedings - 2020 IEEE International Conference on Smart Computing, SMARTCOMP 2020 (2020)
19702 View0.878Jang B.-J.; Jung I.Development Of High-Precision Urban Flood-Monitoring Technology For Sustainable Smart CitiesSensors, 23, 22 (2023)
24069 View0.878Nageye A.Y.; Jimale A.D.; Abdullahi M.O.; Addow M.A.Enhancing Urban Resilience: An Iot-Based Smart Drainage System For Flood Management In Mogadishu, SomaliaDiscover Applied Sciences, 7, 6 (2025)
48403 View0.875Al Kindhi B.; Lasminto U.; Triana M.I.; Damarnegara S.; Anavatti S.G.Sensor And Internet Of Things Based Integrated Inundation Mitigation For Smart CityInternational Journal of Electrical and Computer Engineering, 13, 3 (2023)
18875 View0.871Maer E.D.; Pop A.A.Design Of Iot Based Flood Monitoring And Alerting System2022 IEEE 20th International Power Electronics and Motion Control Conference, PEMC 2022 (2022)
1476 View0.869Zhu Y.; Pan X.; Mohammadi N.; Taylor J.E.A Digital Twin Approach To Advancing River Emergency Response Systems In Smart CitiesProceedings of the Annual Hawaii International Conference on System Sciences (2025)
50027 View0.868Keung K.L.; Lee C.K.M.; Ng K.K.H.; Yeung C.K.Smart City Application And Analysis: Real-Time Urban Drainage Monitoring By Iot Sensors: A Case Study Of Hong KongIEEE International Conference on Industrial Engineering and Engineering Management, 2019-December (2019)
51379 View0.864Purkovic D.; Coates L.; Honsch M.; Lumbeck D.; Schmidt F.Smart River Monitoring And Early Flood Detection System In Japan Developed With The Enocean Long Range Sensor Technology2019 2nd International Colloquium on Smart Grid Metrology, SMAGRIMET 2019 - Proceedings (2019)