An Application Of Distributed Biosphere Hydrological Model For Past Floods Replication (Case Study : Upper Citarum River Basin, West Java)
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References
ASCE. 1993. Criteria for evaluation of watershed models. J. Irrigation Drainage Eng.Vol. 119(3),pp. 429-442
Boyle, D. P., Gupta, H. V., and Sorooshian, S. 2000. Toward improved calibration of hydrologic models: Combining the strengths of manual and automatic methods. Water Resources Res. Vol. 36(12),pp. 3663-3674.
Chow, V.T. 1959. Open Channel Hydraulics. MacGraw-Hill, New York.
Cook, A, and Merwade, V. 2009. Effect of topographic data, geometric configuration and modeling approach on flood inundation mapping. J. of Hydrology.Vol. 377 (1-2), pp. 131-142.
doi:10.1016/j.jhydrol.2009.08.015.
Eckert, S., Kellenberger, T., Itten, K. 2005. Accuracy assessment of automatically derived digital elevation models from aster data in mountainous terrain. Inter- national J. Remote Sensing,Vol. 26 (9), pp. 19431957.
FAO. 2003. Digital Soil Map of the World and Derived Soil Properties, Land and Water Digital Media Series Rev. 1, United Nations Food and Agriculture Organization, CD-ROM
Fujisada, H., Bailey, G. B., Kelly, G. G., Hara, S., and Abrams,M. J. 2005. ASTER DEM performance. IEEE Transactions on Geoscience and Remote Sensing,Vol. 43 (12), pp. 2707-2714.
doi:10.1109/TGRS.2005.847924. http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=1542341.
Gupta, H.V., Sorooshian, S., and Yapo, P.O. 1999. Status of automatic calibration for hydrologic models: Comparison with multilevel expert calibration. J. Hydrologic Eng. Vol, 4(2),,pp. 135-143.
Jaranilla-Sanchez, P.A., Wang, L. and Koike, T. 2011. Modeling the hydrologic responses of the Pampanga River basin, Philippines: A quantitative approach for identifying droughts, Water Resources Res., 47, W03514. doi:10.1029/2010WR009702
Jenson, S.K. and Domingue, J.O 1988. Extracting Topographic Structure from Digital Elevation Data for Geographic Information System Analysis, Photogrammetric Engineering and Remote Sensing, Vol. 54(11), pp. 1593-1600.
Nash, J.E., and Sutcliffe, J.V. 1970. River flow forecasting through conceptual models: Part 1. A discussion of principles. J. Hydrology., Vol. 10(3), pp 282-290.Maidment, D. 1996. GIS and hydrological modelling: an assessment of progress. In: Third International Conference on GIS and Environmental Modelling, Santa Fe, NM, 2025 January.
Mizgallewicz, P.J. Maidment, D. 1996. Modelling agricultural transport in Midwest Rivers using Geographic Information Systems. Online Report 96-6, Centre for Research Water Resources, University of Texas, Austin, TX.
Moriasi, D. N, Arnold, J. G., Van Liew, M. W., Bingner, R. L., Harmel, R. D., and Veith, T.L. 2007. Megsqaws. Transactions Of The Asabe., Vol, 50 (3), pp. 885-900.
Onogi, K., Tsutsui, J., Koide, H., Sakamoto, M., Kobayashi, S., Hatsushika, H., Matsumoto T., et al. 2007. The JRA-25 Reanalysis. Journal of the Meteorological Society of Japan Vol. 85, (3),pp. 369-432. doi:10.2151/jmsj.85.369. http://joi.jlc.jst.go.jp/JST.JSTAGE/jmsj/85.369
Robinson, J. & Sivapalan, M. 1996. Instantaneous response functions of overland flow and sub-surface slormfiow for catchment models. Hydro! Processes 10, 845-862.
Saunders, W. 1999. Preparation of DEMs for use in environmental modelling analysis, ESRI User Conference. ESRI Online, San Diego, CA.
Sellers, P.J., Randall, D.A., Collatz, G.J., Berry, J.A., Field, C.B., Dazlich, D.A., Zhang, C., Collelo, G.D., and Bounoua, L. 1996. A revised land surface parameterization (SiB2) for atmospheric GCMs, Part I: Model Formulation, J. Climate, Vol. 9, pp. 676-705.
Shrestha, M., Wang, L., Koike, T., Xue, Y., and Hirabayashi, Y. 2010. Improving the snow physics of WEB-DHM and its point evaluation at two SnowMIP alpine sites. J. Hydrology and Earth System Sciences.
Tang, Q., Oki, T., and Kanae, S. 2006. A distributed biosphere hydrological model (DBHM) for large river basin. Annual Journal of Hydraulic Engineering ,JSCE, Vol. 50.
Wang, L., Koike, T., Yang, K., Jackson, T.J., Bindlish, R., Yang, D. 2009a. Development of a distributed biosphere hydrological model and its evaluation with the Southern Great Plains Experiments (SGP97 and SGP99). J. Geophysical Research.
Wang, L., Koike, T., Yang, K., Yeh, P.J.F. 2009b. Assessment of a distributed biosphere hydrological model against streamflow and MODIS landsurface temperature in the upper Tone River Basin. J. Hydrology.,Vol. 377(12),pp. 2134.
Wang, L., Koike, T., Yang, D., and Yang, K. 2009c. Improving the hydrology of the Simple Biosphere Model 2 and its evaluation within the framework of a distributed hydrological model. J. Hydrological Sciences,, Vol. 54(6), pp. 989-1006.
Yang, D., Koike, T., and Tanizawa, H. 2004. Application of a distributed hydrological model and weather radar observations for flood management in the upper Tone River ofJapan,J.Hydrol. Process.,Vol. 18, pp. 3119-3132.
DOI: https://doi.org/10.32679/jth.v3i1.260
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