Open Access
MATEC Web Conf.
Volume 195, 2018
The 4th International Conference on Rehabilitation and Maintenance in Civil Engineering (ICRMCE 2018)
Article Number 05008
Number of page(s) 10
Section Hydrologic Engineering
Published online 22 August 2018
  1. F. Klijn, H. Kreibich, H. de Moel, E. Penning-Rowsell, Adaptive flood risk management planning based on a comprehensive flood risk conceptualization, Mitigation and Adaptation Strategies for Global Change, 20 (6), pp. 845-864 (2015) [CrossRef] [Google Scholar]
  2. C.E. Haque, Risk assessment, emergency preparedness and response to hazards: The case of the 1997 Red River Valley flood, Canada, Natural Hazards, 21 (2-3), pp. 225-245 (2000) [CrossRef] [Google Scholar]
  3. N. Kannan, Study of drawdown-drain discharge relationship and its application in design of cost effective subsurface drainage system in Mugogo swamp, Busogo, Rwanda, Water Resources Management, 22 (8), pp. 1113-1125 (2008) [CrossRef] [Google Scholar]
  4. N. Miharja, S. D. Panjaitan, S. Yattinah, “Analisis Kerawanan Dan Pengurangan Risiko Banjir di Kalimantan Barat Berbasis Sistem Informasi Geografi (SIG)”, Jurnal Teknik Sipil (Universitas Tanjungpura Indonesia), 13 (2), pp. 379-396 (2013) [Google Scholar]
  5. N. Miharja, S. D. Panjaitan, S. Yattinah, The Main Rules of Environmental Protection and Management, The Law of the Republic of Indonesia, No 32, Jakarta, Indonesia (2009) [Google Scholar]
  6. D. Sugandi, The Effect of Socio-Economy towards Conservation at Ci Tanduy Watershed, Indonesian Journal of Geography, 45 (1), pp. 91-100 (2013) [Google Scholar]
  7. S. Ng, Governance beyond the government: Responding to a reactionary flood governance regime in Ayutthaya, Thailand, Habitat Int., Vol 52, p 11-19, (2015) [CrossRef] [Google Scholar]
  8. M. Guan, N. Sillanpää, H. Koivusalo, Modelling and assessment of hydrological changes in a developing 674 urban catchment. Hydrol. Process., 29, p 2880-2894, (2015) [CrossRef] [Google Scholar]
  9. F. Remondi, P. Burlando, D. Vollmer, Exploring the hydrological impact of increasing urbanization on a tropical river catchment of the metropolitan Jakarta, Indonesia. Sustain. Cities Soc., 20, p 210-221, (2016) [CrossRef] [Google Scholar]
  10. M. Ali, S. Hadi, B. Sulistyantara, Study on land cover change of Ciliwung downstream watershed with spatial dynamic approach. Procedia-Soc. Behav. Sci., 227, p 52-59, (2016) [Google Scholar]
  11. Poerbandono, M. M. Julian, P. J. Ward, Assessment of the effects of climate and land cover changes on river discharge and sediment yield, and an adaptive spatial planning in the Jakarta region. Nat. Hazards 73, p 507-530, (2014) [CrossRef] [Google Scholar]
  12. R. M. S. Prastica, et al., Estimating Design Flood and HEC-RAS Modeling Approach for Flood Analysis in Bojonegoro City, IOP Conf. Ser. : Mater. Sci. Eng. 316 012042 (2017) [CrossRef] [Google Scholar]
  13. P. J. Laksana, Rainfall characteristic on the slopes of Mount Merapi region, Journal of the civil engineering forum, Vol 1, No 3, p 43-50 (2015) [CrossRef] [Google Scholar]
  14. V. T. Chow, D.R. Maidment, Mays, L.W., Applied Hydrology, McGraw-Hill Book Co., Singapore, (1988) [Google Scholar]
  15. L. K. Sherman, Stream flow from rainfall by the unit-graph method, Eng News Rec 108, p 501-505 (1932) [Google Scholar]
  16. J. E. Nash, the forms of the instantaneous unit hydrograph, Int Assoc of Sci and Hydraul Div Proc ASCE 104 (HY2) p 262-276 (1957) [Google Scholar]
  17. J. C. Dooge, A general theory of the unit hydrograph, J Geophys Res 64 (2) p 241-256 (1959) [Google Scholar]
  18. J. C. Dooge, Linear theory of hydrologic systems, Technical Bulletin No. 1468. US Department of Agriculture, Agricultural Research Service, Washington, DC (1973) [Google Scholar]
  19. V. P. Singh, Hydrologic systems, vol 1, Prentice-Hall, Englewood Cliffs (1988) [Google Scholar]
  20. Kuo S-F, Merkley GP, Liu C-W, Decision support for irrigation project planning using a genetic algorithm. Agril Water Manag 45 p 243-266 (2000) [CrossRef] [Google Scholar]
  21. A. Jain, S. Srinivasalu, R. K. Bhattacharjya, Determination of an optimal unit pulse response function using real-coded genetic algorithm, J Hydrol 303 p 199-214, (2005) [CrossRef] [Google Scholar]
  22. J. R. Rabuñal, J. Puertas, J. Suárez, D. Rivero, Determination of the unit hydrograph of a typical urban basin using genetic programming and artificial neural networks, Hydrol Process 21 p 476-485, (2007) [CrossRef] [Google Scholar]
  23. J. A. Cunge, On the subject of flood propagation computation method (Muskingum method). J Hydraul Res 7 (2), p 205-230, (1969) [Google Scholar]
  24. M. H. Khan, Muskingum Flood Routing Model for Multiple Tributaries, Bangladesh Agricultural University, (1993) [Google Scholar]
  25. T. O’Donnell, A direct three-parameter Muskingum procedure incorporating lateral inflow, Hydrol Sci J, 30 (4), p 479-496, (1985) [CrossRef] [Google Scholar]
  26. HEC-Hydrologic Engineering Center; USACE-U.S. Army Corps of Engineers. HEC-RAS hydraulic reference manual, version 4.1. Davis: Institute of Water Resources, Hydrological Engineering Center, (2010) [Google Scholar]
  27. V. A. Siqueira, V. S. Mino, M. B. Juan, C. Walter, M. V. L. Auder, G. V. T. Giovanni, Real-time updating of HEC-RAS model for streamflow forecasting using an optimization algorithm, Brazilian Journal of Water Resources, Vol 21, No 4, p 855-870, (2016) [Google Scholar]
  28. Y. Ishii, K. Ota, S. Kuraoka, R. Tsunaki, Evaluation of slope stability by finite element method using observed displacement of landslide, Landsl., v. 9, pp.335-348, (2012) [CrossRef] [Google Scholar]
  29. A. Fawaz, E. Farah, F. Hagechehade, Slope stability analysis using numerical modelling, Amer. Jour. Civil Engg., v. 2, pp. 60-67, (2014) [CrossRef] [Google Scholar]
  30. V. B. Maji, an insight into slope stability using strength reduction technique, Jour. Geol. Soc. India., v. 89, pp.77-81, (2017) [CrossRef] [Google Scholar]
  31. F. Göktepe, K. Inan, A comparison study between traditional and finite element methods for slope stability evaluations, Journal Geological Society of India, Vol. 91, p 373-379, (2018) [CrossRef] [Google Scholar]

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