Improving the Xin'anjiang hydrological model based on mass–energy balance
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 f...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2017-07-01
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Series: | Hydrology and Earth System Sciences |
Online Access: | https://www.hydrol-earth-syst-sci.net/21/3359/2017/hess-21-3359-2017.pdf |
Summary: | 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. In order to add more constraints to 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
applicability. |
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ISSN: | 1027-5606 1607-7938 |