Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
doi:10.5194/hess-2016-516
© Author(s) 2016. This work is distributed
under the Creative Commons Attribution 3.0 License.
Research article
04 Nov 2016
Review status
This discussion paper is under review for the journal Hydrology and Earth System Sciences (HESS).
Improving the Xin'anjiang Hydrological Model Based on Mass-Energy Balance
Yuah-Hao Fang1,4, Xingnan Zhang1,2,3, Chiara Corbari4, Marco Mancini4, Guo-Yue Niu5,6, and Wenzhi Zeng7 1Department of Hydrology and Water Resources, Hohai University, Nanjing, China
2National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety, Hohai University, Nanjing, China
3National Cooperative Innovation Center for Water Safety & Hydro-Science, Hohai University, Nanjing, China
4Department of Civil and Environmental Engineering (D.I.C.A.), Politecnico di Milano, Milan, Italy
5Department of Hydrology and Water Resources, University of Arizona, Tucson, Arizona, USA
6Biosphere 2, University of Arizona, Oracle, Arizona, USA
7State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan, China
Abstract. Conceptual hydrological models are preferable for real-time flood forecasting, among which the Xin'anjiang (XAJ) model has been widely applied in humid and semi-humid regions of China. Although the relatively simple mass balance scheme ensures a good performance of runoff simulation during flood events, the model still has some defects. Previous studies have confirmed the importance of Evapotranspiration (ET) and soil moisture content (SMC) in runoff simulation. To overcome the defects of the original XAJ model, an energy balance scheme suitable for the XAJ model was developed and coupled with the original mass balance scheme of the XAJ model. The detailed parameterizations of the improved model, XAJ-EB, are presented in the first part of this paper. XAJ-EB employs various meteorological forcing and remote sensing data as input, simulating ET and runoff yield using a more physically-based mass-energy balance scheme. In particular, the energy balance is solved by determining the representative equilibrium temperature (RET), which is comparable to land surface temperature (LST). The XAJ-EB was evaluated in the Lushui catchment situated in the middle reach of the Yangtze River Basin for the period between 2004 and 2007. Validation using ground-measured runoff data proves that the XAJ-EB is capable of reproducing runoff comparable to the original XAJ model. Additionally, RET simulated by XAJ-EB agreed well with Moderate Resolution Imaging Spectroradiometer (MODIS) retrieved LST, which further confirms that the model is able to simulate the mass-energy balance since LST reflects the interactions among various processes. The validation results prove that the XAJ-EB model has superior performance compared with the XAJ model and also extends its application fields.

Citation: Fang, Y.-H., Zhang, X., Corbari, C., Mancini, M., Niu, G.-Y., and Zeng, W.: Improving the Xin'anjiang Hydrological Model Based on Mass-Energy Balance, Hydrol. Earth Syst. Sci. Discuss., doi:10.5194/hess-2016-516, in review, 2016.
Yuah-Hao Fang et al.
Yuah-Hao Fang et al.
Yuah-Hao Fang et al.

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Short summary
Soil moisture and evapotranspiration (ET) are important to flood forecasting. An energy balance scheme based on the representative temperature (RET) was developed and coupled to the original mass balance scheme of the Xin'anjiang model. Validation against both runoff and land surface temperature confirmed the accuracy and applicability of the improved model (XAJ-EB). RET servers as a new constraints to the model and can be used for model calibration and validation.
Soil moisture and evapotranspiration (ET) are important to flood forecasting. An energy balance...
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