Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
https://doi.org/10.5194/hessd-11-9219-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
04 Aug 2014
Review status
This discussion paper has been under review for the journal Hydrology and Earth System Sciences (HESS). The revised manuscript was not accepted.
An integrated water system model considering hydrological and biogeochemical processes at basin scale: model construction and application
Y. Y. Zhang1,2, Q. X. Shao2, A. Z. Ye3, and H. T. Xing1,4 1Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
2CSIRO Digital Productivity and Services Flagship, Leeuwin Centre, 65 Brockway Road, Floreat Park, WA 6014, Australia
3College of Global Change and Earth System Science, Beijing Normal University, Beijing, 100875, China
4CSIRO Agriculture Flagship, GPO Box 1666, Canberra, ACT2601, Australia
Abstract. Integrated water system modeling is a reasonable approach to provide scientific understanding and possible solutions to tackle the severe water crisis faced over the world and to promote the implementation of integrated river basin management. Such a modeling practice becomes more feasible nowadays due to better computing facilities and available data sources. In this study, the process-oriented water system model (HEXM) is developed by integrating multiple water related processes including hydrology, biogeochemistry, environment and ecology, as well as the interference of human activities. The model was tested in the Shaying River Catchment, the largest, highly regulated and heavily polluted tributary of Huai River Basin in China. The results show that: HEXM is well integrated with good performance on the key water related components in the complex catchments. The simulated daily runoff series at all the regulated and less-regulated stations matches observations, especially for the high and low flow events. The average values of correlation coefficient and coefficient of efficiency are 0.81 and 0.63, respectively. The dynamics of observed daily ammonia-nitrogen (NH4N) concentration, as an important index to assess water environmental quality in China, are well captured with average correlation coefficient of 0.66. Furthermore, the spatial patterns of nonpoint source pollutant load and grain yield are also simulated properly, and the outputs have good agreements with the statistics at city scale. Our model shows clear superior performance in both calibration and validation in comparison with the widely used SWAT model. This model is expected to give a strong reference for water system modeling in complex basins, and provide the scientific foundation for the implementation of integrated river basin management all over the world as well as the technical guide for the reasonable regulation of dams and sluices and environmental improvement in river basins.

Citation: Zhang, Y. Y., Shao, Q. X., Ye, A. Z., and Xing, H. T.: An integrated water system model considering hydrological and biogeochemical processes at basin scale: model construction and application, Hydrol. Earth Syst. Sci. Discuss., 11, 9219-9279, https://doi.org/10.5194/hessd-11-9219-2014, 2014.
Y. Y. Zhang et al.
Y. Y. Zhang et al.

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