Journal of Environmental
1684-8799 / Print ISSN 1726-2135
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Disaggregation Model of Daily Rainfall and Its Application in the Xiaolihe Watershed, Yellow River
L. He*, G. Q. Wang and X. D. Fu
Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China
*Corresponding author. Tel: +86 10 62795864 Fax: Email: email@example.com
In the continuous simulation of the whole sediment process in Coarse Sediment Area, one of the outstanding problems is getting rainfall data with high spatial and temporal resolution. For the calculation in Digital Watershed Model of Yellow River, one characteristic is huge calculation, as calculation is carried out on each river segment, with 797 river segments in a drainage area of 807km2. A downscaling method was proposed which could disaggregate daily rainfall data into one-hour timescale rapidly. This method was based on rain-cell conception and relationships between rainfall depth and duration time grouped by month. Secondly, several event-related characteristics, the distribution of event amount, event start time and the concurrency of number of events on a day of the generated hourly rainfall series, were compared with the observed data. Thirdly, this method was used in the hydrology simulation of water and sediment erosion in Xiaolihe Watershed. The analysis indicated that, the proposed method could be used to downscale daily rainfall series to hourly, and then used in the simulation of sediment process with Digital Watershed Model of Yellow River.
Keywords: downscaling method, rain-cell, hydrology simulation, huge calculation, digital watershed model of Yellow River
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Cite this paper as: L. He, G. Q. Wang and X. D. Fu, 2010. Disaggregation Model of Daily Rainfall and Its Application in the Xiaolihe Watershed, Yellow River. Journal of Environmental Informatics, 16(1), 11-18. http://dx.doi.org/10.3808/jei.201000173
- Cernesson, F., Lavabre, J., and Masson, J.M. (1996). Stochastic model for generating hourly hyerographs, Atmos. Res., 42, 149-161.
- Connolly, R.D., Schirmer, J., and Dunn, P.K. (1998). A daily rainfall disaggregation model, Agric. For. Meteorol., 92, 105- 117.
- Cowpertwait, P.S.P. (1991). Further developments of the Neyman-Scott clustered point process for modelling rainfall, Water Resour. Res., 27(7), 1431-1438. http://dx.doi.org/10.1029/91WR00479
- Cowpertwait, P.S.P., and O'Connell, P.E. (1997). A regionalised Neyman-Scott model of rainfall with convective and stratiform cells, Hydrol. Earth Sci., 1, 71-80.
- Frost, A.J., Srikanthan, R., and Cowpertwait, P.S.P. (2004). Stochastic generation of point rainfall data at sub-daily timescales: a comparison of DRIP and NSRP, Report 04/09, Cooperative Research Centre for Catchment Hydrology, 1813-1819.
- Gyasi-Agyei, Y., and Mahbub, S.M.P.B. (2007). A stochastic model for daily rainfall disaggregation into fine time scale for a large region, J. Hydrol., 347, 358-370. http://dx.doi.org/10.1016/j.jhydrol.2007.09.047
- Gyasi-Agyei, Y., and Willgoose, G.R. (1997). A hybrid model for point rainfall modeling, Water Resour. Res., 33(7), 1699-1706.
- Hershenhorn, J., and Woolhiser, D.A. (1987). Disaggregation of daily rainfall, J. Hydrol., 95, 229-322.
- Kim, S., and Kavvas, M.L. (2006). Stochastic point rainfall modeling for correlated rain cell intensity and duration, J. Hydrol. Eng., 11(1), 29-36. http://dx.doi.org/10.1061/(ASCE)1084-0699(2006)11:1(29)
- Koutsoyiannis, D. (1994). A stochastic disaggregation method for design storm and flood synthesis, J. Hydrol., 156, 193-225. http://dx.doi.org/10.1016/0022-1694(94)90078-7
- Koutsoyiannis, D., and Onof, C. (2001). Rainfall disaggregation using adjusting procedure on a Poisson cluster model, J. Hydrol., 246, 109-122. http://dx.doi.org/10.1016/S0022-1694(01)00363-8
- Li, Z.W., Di, F.H., and Na, J.K. (1999). Rain station network density analysis in small valleys, J. Heilongjiang Hydraul. Eng. College, 26(4), 13-14. (in Chinese).
- Onof, C., and Wheater, H.S. (1994). Imprvoved fittling of the Bartlett-Lewis Rectangular puls model for hourly rainfall, Hydrol. Sci. J., 39(6), 663-680.
- Onof, C., Chandler, R.E., Kakou, A., Northrop, P., Wheater, H.S., and Isham, V. (2000). Rainfall modeling using Poisson-cluster processes: A review of developments, Stochastic Environ. Res. Risk Assess., 14, 384-411. http://dx.doi.org/10.1007/s004770000043
- Patrick, A., and Jacques, L. (1999). Using a stochastic model for generating hourly hyetographs to study extreme rainfalls, Hydrol. Sci. J., 44(3), 433-446.
- Rebora, N., Ferraris, L., Hardenberg, J.V., and Provenzale, A. (2005a). Stochastic downscaling of LAM predictions: an example in the Mediterranean area, Adv. in Grosciences, 2, 181-185.
- Rebora, N., Ferraris, L., Hardenberg, J.V., and Provenzale, A. (2005b). RainFARM: Rainfall downscaling by a filtered autoregressive model, J. Hydrometeorol., 7, 724-738. http://dx.doi.org/10.1175/JHM517.1
- Velghe, T., Troch, P.A., De Troch F.P., and Van de Velde J. (1994). Evaluation of cluster-based rectangular pulses point process models for rainfall, Water Resour. Res., 30(10), 2847-2857.
- Wu, S.J., Tung, Y.K., and Yang, J.C. (2006). Stochastic generation of hourly rainstorm events, Stoch. Environ. Res. Risk Assess., 21, 195-212. http://dx.doi.org/10.1007/s00477-006-0056-3
- Zhang, X.S., Hao, F.H, and Zhang, J.Y. (2004). Study on effect of uncertainty in special distribution of rainfall on runoff and sediment modeling, Res. Soil Water Conserv., 11(1), 9-12. (in Chinese).
- Wang, G.Q., He, L., Li, T.J., and Cai-Wang, B.D. (2007a). Daily rainfall disaggregation at one-hour timescale for hydrologic modeling in the Xiaoli River basin, Proc. of International Society for Environmental Information Science 2007 Annual Conference, 2007, Bangkok, Thailand.
- Wang, G.Q., Wu, B.S., and Li, T.J. (2007b). Digital Yellow River Model, J. Hydro-Environ. Res., 1, 1-11.