Performance Evaluation of Flood Level Estimation Method Using State-Space Model with Time-Series Monitoring Data

1. Intergovernmental panel on climate change fifth assessment report (AR5) (2018). https://www.ipcc.ch/report/ar5/. Accessed 19 Feb 2019

2. Milly, P.C.D., Wetherald, R.T., Dunne, K.A., Delworth, T.L.: Increasing risk of great floods in a changing climate. Nature 415(6871), 514 (2002)

   Article  Google Scholar 

3. Hirabayashi, Y., et al.: Global flood risk under climate change. Nat. Clim. Chang. 3(9), 816 (2013)

   Article  Google Scholar 

4. Pulvirentia, L., Chinib, M., Pierdiccaa, N., Guerrieroc, L., Ferrazzolic, P.: Flood monitoring using multi-temporal COSMO-SkyMed data: image segmentation and signature interpretation. Remote Sens. Environ. 115(4), 990–1002 (2011)

   Article  Google Scholar 

5. Basha, E.A., Ravela, S., Rus, D.: Model-based monitoring for early warning flood detection. In: Proceedings of the 6th ACM Conference on Embedded Network Sensor Systems (SenSys), pp. 295–308 (2008)

   Google Scholar 

6. Elshorbagy, A., Corzo, G., Srinivasulu, S., Solomatine, D.: Experimental investigation of the predictive capabilities of data driven modeling techniques in hydrology-part 2: application. Hydrol. Earth Syst. Sci. 14, 1943–1961 (2010)

   Article  Google Scholar 

7. Rafieeinasab, A., et al.: Toward high-resolution flash flood prediction in large urban areas - analysis of sensitivity to spatiotemporal resolution of rainfall input and hydrologic modeling. J. Hydrol. 531(part 2), 370–388 (2015)

   Google Scholar 

8. Ruslan, F.A., Samad, A.M., Zain, Z.M., Adnan, R.: Flood prediction using NARX neural network and EKF prediction technique: a comparative study. In: Proceeding of the IEEE 3rd International Conference on System Engineering and Technology (ICSET), pp. 203–208 (2013)

   Google Scholar 

9. Hiroi, K., Kawaguchi, N.: Floodeye: real-time flash flood prediction system for urban complex water flow. In: Proceeding of 2016 IEEE SENSORS, pp. 1–3 (2016)

   Google Scholar 

10. Sinnakaudan, S.K., Ghani, A.A., Ahmad, M.S.S., Zakaria, N.A.: Flood risk mapping for pari river incorporating sediment transport. Environ. Model. Softw. 18(2), 119–130 (2003)

    Article  Google Scholar 

11. Lyu, H.M., Sun, W.J., Shen, S.L., Arulrajah, A.: Flood risk assessment in metro systems of mega-cities using a GIS-based modeling approach. Sci. Total Environ. 626, 1012–1025 (2018)

    Article  Google Scholar 

12. Ernst, J., Dewals, B.J., Detrembleur, S., Archambeau, P., Erpicum, S., Pirotton, M.: Micro-scale flood risk analysis based on detailed 2D hydraulic modelling and high resolution geographic data. Nat. Hazards 55(2), 181–209 (2010)

    Article  Google Scholar 

13. Horritt, M.S., Bates, P.D.: Evaluation of 1D and 2D numerical models for predicting river flood inundation. J. Hydrol. 268(1–4), 87–99 (2002)

    Article  Google Scholar 

14. Rozalis, S., Morin, E., Yair, Y., Price, C.: Flash flood prediction using an uncalibrated hydrological model and radar rainfall data in a mediterranean watershed under changing hydrological conditions. J. Hydrol. 394(1–2), 245–255 (2010)

    Article  Google Scholar 

15. Hiroi, K., Murakami, D., Kurata, K., Tashiro, T.: Investigation into feasibility of data assimilation approach for flood level estimation using temporal-spatial state space model. In: Proceedings of The First International Workshop on Practical Issues, Systems & Applications for Disaster Risk Reduction in Smart Computing (DRRSC 2019) in conjunction with the 6th IEEE International Conference on Big Data and Smart Computing (bigcomp2019), p. 5 (2019)

    Google Scholar 

16. Hiroi, K., Kohiga, A., Shinoda, Y.: How can SNS data contribute to disaster damage assessment? In: Proceedings of The 16th International Workshop on Informatics (IWIN 2022), pp. 79–89 (2022)

    Google Scholar 

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