IJSTR

International Journal of Scientific & Technology Research

Home About Us Scope Editorial Board Blog/Latest News Contact Us
0.2
2019CiteScore
 
10th percentile
Powered by  Scopus
Scopus coverage:
Nov 2018 to May 2020

CALL FOR PAPERS
AUTHORS
DOWNLOADS
CONTACT

IJSTR >> Volume 9 - Issue 3, March 2020 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Rainfall Measurement And Flood Warning Systems: A Review

[Full Text]

 

AUTHOR(S)

Edward B. Panganiban

 

KEYWORDS

Flood forecasting, flood prediction, rainfall, technologies, flood warning systems, remote

 

ABSTRACT

Flood is regarded as a chaotic natural disaster that threatens people's lives and properties. Flood warning and rainfall measuring systems dealing with different processes and multiple methodologies, providing data and information to maintain flood warning transportation and alternatives to crises for people around the world. To provide comparatively accurate and reliable flood prediction, prediction models are essential to be propelled by data input and further controlled by historical data and real-time observations are processed through the various algorithms. Flood prediction techniques traditionally include the use of rain gage for rainfall measurement and a simple flood warning system circuit. Emerging flood warning systems technologies and development have the potential to provide alternative solutions to allow timely and reliable flood calculations. It has shown a growing interest in investigating the use of more technological methods to anticipate floods through this. This paper reviews, therefore, from traditional flood forecasting to recent progress with the integration of emerging technologies for a more reliable and accurate flood warning system. This paper discussed patented flood warning systems, rainfall measuring systems, and published papers on flood warning systems. The result ended up with an idea that will be proposed for better accuracy and timely applications.

 

REFERENCES

[1] D. B. Zoleta-Nantes, “Flood hazards in Metro Manila: Recognizing commonalities, differences and courses of action,” Soc. Sci. Diliman, vol. 1, no. 1, pp. 60–105, 2000.
[2] R.. Badilla et al., “Enhancing Risk Analysis Capacities for Flood, Tropical Cyclone Severe Wind and Earthquake for the Greater Metro Manila Area,” Flood Risk Anal., pp. 1–7, 2014.
[3] A. P. Guide, “Flash floods and floods : The Awesome Power of flooding can occur nationwide : A Preparedness Guide,” U.S. Dep. Commer. Natl. Ocean. Atmos. Adm., no. July 1992, pp. 1–12, 1992.
[4] M. Pollock, M. Dutton, P. Quinn, E. O. Connell, M. Wilkinson, and M. Colli, “Accurate Rainfall Measurement: The Neglected Achilles Heel of Hydro-Meteorology,” no. 1, pp. 1–7, 1998.
[5] K. P. Pornasdoro, L. C. Silva, M. L. T. Munárriz, B. A. Estepa, and C. A. Capaque, “Flood Risk of Metro Manila Barangays : A GIS-Based Risk Assessment Using Multi-Criteria Techniques,” J. Urban Reg. Plan., pp. 51–72, 2014.
[6] A. R. Permut, A. A. Permut, and R. M. Permut, “Early Flood Warning System,” US Pat. 4153881, pp. 1–16, 1979.
[7] Rish and L. Thomas, “Water level detector alarm device,” US Pat. 5781117, pp. 1–13, 1998.
[8] H. Kunio, “Water level calculator and water level forecasting system and method,” Espac. Bibliogr. data JP2001215119 ― 2001-08-10 WATER, p. 1, 2001.
[9] I. Shigeru, “Alarm-reporting system,” Espac. Bibliogr. data JP2002350559 ― 2002-12-04 Alarm., pp. 5–6, 2002.
[10] M. R. Smith, “Quantitative precipitation prediction method,” US Pat. 6581009, pp. 1–12, 2003.
[11] S. Akihiko and M. Tetsuo, “Evacuation guiding system for water disaster,” Espac. Bibliogr. data JP2003162785 ― 2003-06-06, pp. 5–6, 2003.
[12] O. Makiko, “Simplified Rainfall Alarm,” Espac. Bibliogr. data JP2006258577 ― 2006-09-28, pp. 5–6, 2006.
[13] F. Chikao, “Nationwide Combined Radar Rainfall Information Providing System,” Espac. Bibliogr. data JP2006030013 ― 2006-02-02, pp. 5–6, 2006.
[14] H. Feyen, J. Mehlhorn, and C. Oehy, “Method and system for automated location-dependent recognition of flood risks,” US Pat. 7395157, pp. 1–25, 2008.
[15] S. Kenichi, Y. Yoshiki, and H. Umio, “Water Level Observation System By Image Processing,” Espac. Bibliogr. data JP2008057994 ― 2008-03-13, pp. 5–6, 2008.
[16] M. Yasuhiro, “Concentrated Heavy Rainfall Prediction System,” Espac. Bibliogr. data JP2010286458 ― 2010-12-24 Conc., pp. 5–6, 2010.
[17] T. Takeshi, S. Masahiro, and O. Hiroki, “Sudden Flood Risk Avoidance System And Method,” Espac. Bibliogr. data JP2012141840 ― 2012-07-26, pp. 5–6, 2012.
[18] J. A. Nystuen, “Rainfall Measurement using Passive Underwater Acoustical Remote Sensing,” no. October, pp. 508–513, 1982.
[19] L. Baldini, E. Gorgucci, and V. Romaniello, “An integrated procedure for rainfall estimation using C-band dual-polarization weather radars,” 2008 IEEE Radar Conf. RADAR 2008, no. 1, pp. 1–4, 2008.
[20] T. Yuwono, Ruzardi, and M. Ismail, “Rain gauge development employing Bluetooth and RF modem,” 2011 IEEE Int. Conf. Sp. Sci. Commun. “Towards Explore. Equatorial Phenomena”, Iconsp. 2011 - Proc., no. July, pp. 320–323, 2011.
[21] U. Lewlomphaisarl and P. Saengsatcha, “High accuracy tipping bucket rain gauge,” SICE Annu. Conf., pp. 372–375, 2012.
[22] M. C. Valverde, E. Araujo, and H. Campos Velho, “Neural network and fuzzy logic statistical downscaling of atmospheric circulation-type specific weather pattern for rainfall forecasting,” Appl. Soft Comput. J., 2014.
[23] M. Shoaib, A. Y. Shamseldin, and B. W. Melville, “Comparative study of different wavelet-based neural network models for rainfall-runoff modeling,” J. Hydrol., 2014.
[24] F. J. Chang, Y. M. Chiang, M. J. Tsai, M. C. Shieh, K. L. Hsu, and S. Sorooshian, “Watershed rainfall forecasting using neuro-fuzzy networks with the assimilation of multi-sensor information,” J. Hydrol., 2014.
[25] O. M. M. O. Ajewole and A. T. Adediji, “Study and Characterization of Rainfall Intensities in Akure, Southwestern Nigeria,” IEEE, pp. 4–7, 2014.
[26] T. K. V. Raghava and S. P. Wani, “Internet enabled tipping bucket rain gauge,” 2014 Int. Conf. Comput. Commun. Informatics Ushering Technol. Tomorrow, Today, ICCCI 2014, pp. 1–5, 2014.
[27] X. He, H. Guan, and J. Qin, “A hybrid wavelet neural network model with mutual information and particle swarm optimization for forecasting monthly rainfall,” J. Hydrol., 2015.
[28] M. F. Rios Gaona, A. Overeem, H. Leijnse, and R. Uijlenhoet, “Measurement and interpolation uncertainties in rainfall maps from cellular communication networks,” Hydrol. Earth Syst. Sci., 2015.
[29] Y. MS and S. IW, “Measurement of Drop Size Distribution Rain in Mataram Utilize Disdrometer Acoustic For Flood Prediction,” Int. Semin. Intell. Technology Its Appl., pp. 107–110, 2016.
[30] M. Kobold and M. Brilly, “The use of HBV model for flash flood forecasting,” Nat. Hazards Earth Syst. Sci., vol. 6, no. 3, pp. 407–417, 2006.
[31] R. A. Badilla, “Flood Modelling in Pasig-Marikina River Basin,” Mod. Appl. Sci., vol. 8, no. 5, pp. 1–73, 2008.
[32] E. Basha and D. Rus, “Design of early warning flood detection systems for developing countries,” 2007 Int. Conf. Inf. Commun. Technol. Dev., pp. 1–10, 2007.
[33] D. Hughes et al., “An Intelligent and Adaptable Grid-based Flood Monitoring and Warning System,” 2008.
[34] L. Lu, S. Zhang, J. Yu, and H. Zhou, “Short-term Water Level Prediction using Different Artificial Intelligent Models,” 2009.
[35] Y. Chonbodeechalermroong and S. Chuenchooklin, “Flash flood warning system in a risky area,” in ECTI-CON 2011 - 8th Electrical Engineering/ Electronics, Computer, Telecommunications and Information Technology (ECTI) Association of Thailand - Conference 2011, 2011, pp. 133–136.
[36] B. Aires, “Monitoring flood in the lower Bermejo river basin using multifrequency microwave signatures,” no. 1, pp. 3–6, 2011.
[37] R. Adnan, F. A. Ruslan, A. M. Samad, and Z. M. Zain, “Artificial neural network modeling and flood water level prediction using extended Kalman filter,” 2012 IEEE Int. Conf. Control Syst. Comput. Eng., vol. 4, no. Cascade, pp. 535–538, 2012.
[38] R. Adnan, F. A. Ruslan, A. M. Samad, and Z. Md Zain, “Floodwater level modeling and prediction using artificial neural network: a Case study of Sungai Batu Pahat in Johor,” 2012 IEEE Control Syst. Grad. Res. Colloq., no. Icsgrc, pp. 22–25, 2012.
[39] R. Marin-Perez, J. García-Pintado, and A. S. Gómez, “A real-time measurement system for long-life flood monitoring and warning applications,” Sensors, vol. 12, no. 4, pp. 4213–4236, 2012.
[40] J. K. Roy, D. Gupta, and S. Goswami, “An improved flood warning system using WSN and artificial neural network,” in 2012 Annual IEEE India Conference, INDICON 2012, 2012.
[41] R. R. Caubalejo, J. Manansala, G. H. Manuel, and D. B. Oriño, “Design of Flood Detection System With Automatic Branch Circuit Cut-Off Capabilities and Sms-Based,” Unpubl. Thesis, no. September 2013.
[42] E. Kuantama, P. Mardjoko, and M. A. Saraswati, “Design and Construction of Early flood warning system through SMS based on SIM300C GSM modem,” in Proc. of 2013 3rd Int. Conf. on Instrumentation, Communications, Information Technol., and Biomedical Engineering: Science and Technol. for Improvement of Health, Safety, and Environ., ICICI-BME 2013, 2013, pp. 115–119.
[43] K. Achawakorn, K. Raksa, and N. Kongkalai, “Flash flood warning system using SCADA system: Laboratory level,” in 2014 International Electrical Engineering Congress, iEECON 2014, 2014.
[44] M. E. Hossain, T. N. Turna, S. J. Soheli, and M. S. Kaiser, “Neuro-fuzzy(NF)-based adaptive flood warning system for Bangladesh,” in 2014 International Conference on Informatics, Electronics, and Vision, ICIEV 2014, 2014.
[45] A. Dersingh, “Design and Development of a Flood Warning System via Mobile and Computer Networks,” 2015.
[46] S. W. Lo, J. H. Wu, F. P. Lin, and C. H. Hsu, “Cyber surveillance for flood disasters,” Sensors (Switzerland), 2015.
[47] V. Vunabandi, R. Matsunaga, S. Markon, and N. Willy, “Flood sensing framework by Arduino and Wireless Sensor Network in Rural-Rwanda,” in 2015 IEEE/ACIS 16th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2015 - Proceedings, 2015.
[48] F. C. C. Garcia, A. E. Retamar, and J. C. Javier, “A real-time urban flood monitoring system for Metro Manila,” IEEE Reg. 10 Annu. Int. Conf. Proceedings/TENCON, vol. 2016–Janua, pp. 3–7, 2016.
[49] P. Truatmoraka, N. Waraporn, and D. Suphachotiwatana, “Water Level Prediction Model Using Back Propagation Neural Network Case study : The Lower of Chao Phraya Basin,” 4th Int. Symp. Computational Bus. Intelligence, pp. 200–205, 2016.
[50] C. Srihari, S. Prashanthi, V. Sriranjani, and S. S. Ahila, “Automated wireless flood warning system in remote areas,” in Proceedings - 2016 IEEE International Conference on Technological Innovations in ICT for Agriculture and Rural Development, TIAR 2016, 2016, pp. 181–187.
[51] F. C. C. Garcia, A. E. Retamar, and J. C. Javier, “Development of a predictive model for on-demand remote river level nowcasting: a Case study in Cagayan River Basin, Philippines,” IEEE Reg. 10 Annu. Int. Conf. Proceedings/TENCON, pp. 3275–3279, 2017.
[52] A. Silva Souza, A. M. De Lima Curvello, F. L. D. S. De Souza, and H. J. Da Silva, “A flood warning system to critical region,” in Procedia Computer Science, 2017.
[53] M. Azam, H. S. Kim, and S. J. Maeng, “Development of flood alert application in Mushim stream watershed Korea,” Int. J. Disaster Risk Reduct., pp. 11–26, 2017.
[54] E. Toth, A. Brath, and A. Montanari, “Comparison of short-term rainfall prediction models for real-time flood forecasting,” J. Hydrol., vol. 239, no. 1–4, pp. 132–147, 2000.
[55] T. Wardah, R. Suzana, S. Y. S. N. Huda, and A. A. Kamil, “Multi-sensor data inputs rainfall estimation for flood simulation and forecasting,” CHUSER 2012 - 2012 IEEE Colloq. Humanit. Sci. Eng. Res., no. Chuser, pp. 374–379, 2012.
[56] L. Alfieri and J. Thielen, “A European precipitation index for extreme rain-storm and flash flood early warning,” Meteorol. Appl., 2015.
[57] W. Yu, E. Nakakita, and K. Jung, “Flood Forecast and Early Warning with High-Resolution Ensemble Rainfall from Numerical Weather Prediction Model,” in Procedia Engineering, 2016.