Set Up and Calibration of a Spatial Tool for Simulating River Discharge of Western Java in Recent Decades: Preliminary Results and Assessments

Poerbandono Poerbandono; Philip J. Ward; Miga M. Julian

doi:10.5614/itbj.eng.sci.2009.41.1.4

Authors

Poerbandono Poerbandono Hydrographic Science and Engineering Research Division Faculty of Earth Sciences and Technology, Institut Teknologi Bandung
Philip J. Ward Institute for Environmental Studies Faculty of Earth and Life Sciences, VU University Amsterdam
Miga M. Julian Geodesy and Geomatics Engineering Study Program Faculty of Earth Sciences and Technology, Institut Teknologi Bandung

DOI:

https://doi.org/10.5614/itbj.eng.sci.2009.41.1.4

Abstract

This paper discusses a study of the application of global spatiotemporal climate datasets and the hydrological model STREAM (Spatial Tools for River Basin Environmental Analysis and Management Options). In the study, set up and calibration of STREAM for the reconstruction of monthly discharge for several locations in the western part of Java, Indonesia, for the period 1983 -2002 are carried out. The set up includes the preparation of monthly precipitation and temperature datasets, a digital elevation model of the domain being studied, and maps of land cover and soil water holding capacity. Discharge observations from six stations located mostly in the upper parts of major watersheds in the domain are used to calibrate the model by comparing simulated and observed discharge variables. The model performs reasonably well. Comparison between computed and observed mean monthly discharges yield correlation coefficients ranging from 0.72 to 0.93. The computed mean annual discharge in five out of six observation stations ranges between -8 and 5% with respect to the mean annual observed discharge. This study offers a tool which can be used for reconstructing historical discharge

Downloads

Download data is not yet available.

References

Aerts, J.C.J.H., Kriek, M. & Schepel, M., STREAM, Spatial Tools for River Basins and Environment and Analysis of Management Options: "Set Up and Requirements', Physics and Chemistry of the Earth Part B, 24(6), 591-595, 1999.

Thornthwaite, C.W. & Mather, J.R., Instructions and Tables for Computing Potential Evapotranspiration and The Water Balance,Publications in Climatology, 10(3), 183-243, 1957.

Thornthwaite, C.W., An Approach Toward A Rational Classification of Climate, Geographical Review, 38, 55-94, 1948.

Rodriguez, E., Morris, C.S., Belz, J.E., Chapin, E.C., Martin, J.M., Daffer, W., & Hensley, S., An Assessment of the SRTM Topographic Products, Technical Report JPL D-31639, Jet Propulsion Laboratory, Pasadena, California, USA, 143 pp, 2005.

Poerbandono & Harto, A.B., Reconstruction and Prediction of Physical Environmental Quality Degradation due to The Changes of Erosional Behaviour of Citarum Watershed Using Spatial Model, Unpublished Report, Institute for Research and Community Services, Institute of Technology, Bandung, Indonesia, 2008.

Kwadijk, J.C.J., The Impact of Climate Change on The Discharge Of The River Rhine, Ph.D. Thesis, Universiteit Utrecht, Utrecht, The Netherlands, 201 pp, 1993.

Aerts, J.C.J.H. & Bouwer, L.M., STREAM Krishna, A Hydrological Model for the Krishna River in India, RIKZ/Coastal Zone Management Centre, The Hague, The Netherlands, 34 pp., www.geo.vu.nl/users/ivmstream/public/aerts&bouwer2002a.pdf, 2002.

Mitchell, T.D. & Jones, P.D., An Improved Method of Constructing A Database of Monthly Climate Observations and Associated HighResolution Grids, International Journal of Climatology, 25(6), 693-712, 2005.

New, M., Lister, D., Hulme, M. & Makin, I., A High-Resolution Dataset of Surface Climate Over Global Land Areas, Climate Research, 21, 1-25,2002.

Bouwer, L.M, Aerts, J.C.J.H, van de Coterlet, G.M., van de Giesen, N, Gieske, A. & Mannaerts, C., Evaluating Downscaling Methods for Preparing Global Circulation Model (GCM) Data for Hydrological Impact Modelling, In Aerts, J. & Droogers, P. (Eds.). Climate change in contrasting river basins: adaptation strategies for water, food, and environment. CABI Publishing. Oxford, UK, 2004.

Huang, M. & Liang, X., On The Assessment of The Impact of Reducing Parameters and Identification of Parameter Uncertainties for A Hydrologic Model with Applications to Ungauged Basins, Journal of Hydrology, 320, 37-61, 2006.

Jakeman, A.J. & Hornberger, G.M., How much complexity is warranted in a rainfall-runoff model?, Water Resources Research, 29(8), 2637-2649, 1993.

Krajewski, W.F., Lakshmi, V., Georgakakos, K.P., & Jain, S.C., A Monte Carlo Study of Rainfall Sampling Effect on A Distributed Catchment Model, Water Resources Research, 27(1), 119-128, 1991.

Zheng, Y., & Keller, A.A., Understanding Parameter Sensitivity and Its Management Implications in Watershed-Scale Water Quality Modeling,Water Resources Research, 42, W05402, 2006.

Beven, K., Changing Ideas in Hydrology-The Case of Physically-Based Models, Journal of Hydrology, 105(1-2), 157-172, 1989.

Ward, P.J., Renssen, H., Aerts, J.C.J.H., van Balen, R.T. & Vandenberghe, J., Strong Increases in Flood Frequency and Discharge of The River Meuse Over The Late Holocene: Impacts of Long-Term Anthropogenic Land Use Change and Climate Variability, Hydrology and Earth System Sciences, 12, 159-175, 2008.

Ward, P.J., Aerts, J.C.J.H., de Moel, H. & Renssen, H., Verification of A Coupled Climate-Hydrological Model Against Holocene Palaeohydrological Records, Global and Planetary Change, 57, 283-300, 2007.

Aerts, J.C.J.H., Renssen, H., Ward, P.J., De Moel, H., Odada, E., Bouwer, L.M. & Goosse, H., Sensitivity of Global River Discharges Under Holocene and Future Climate Conditions, Geophysical Research Letters, L19401, 2006.