Nanotechnology and Computer Engineering. The performance of both the two models was tested in the Linyi watershed with a drainage area of km 2 , a tributary of the Huaihe river, China. Boulet, Measurement and prediction of soil moisture in a medium-sized catchment, Hydrological Sciences Journal-Journal Des Sciences Hydrologiques, vol. Zheng, Mid-short-term daily runoff forecasting by anns and multiple process-based hydrological models. Soil moisture plays an important role in agricultural drought predicting. To receive news and publication updates for Mathematical Problems in Engineering, enter your email address in the box below. To validate the results of the SMM method, the digital filter and graphic approach were used for comparison in this study. 
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This site uses cookies. In practice, it is very difficult to separate a hydrograph into three components due to the lack of the observed data for a given basin. Lihua Xiong Lihua Xiong. In this study, the baseflow estimated by the SMM method was used to validate the Xinanjiang model. Abstract Based on the idea of inputting more available useful information for evaluation to gain less uncertainty, this study focuses on how well the uncertainty can be reduced by considering the baseflow estimation information obtained from the smoothed minima method SMM.
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Model structure error associated with the mathematical representation or equation is an important cause for prediction uncertainty [ 2 ], but it is very difficult to quantify. Indexed in Science Citation Index Expanded. However, both the models need to be improved in soil moisture forecasting in the future work.
Effect of Baseflow Separation on Uncertainty of Hydrological Modeling in the Xinanjiang Model
The Nash-Sutcliffe efficiency index [ 21 ] is expressed as follows: Shenglian Guo Shenglian Guo. Nodel parameters relating to runoff generation are less sensitive at all three temporal scales.
To validate the results of the SMM method, the digital filter and graphic approach were used for comparison in this study. The results suggest that the soil moisture simulated by the integrated ANN-Xinanjiang model is more agree with the observed ones than that simulated by Xinanjiang, and that the simulated soil moisture by both the models has the similar trend and temporal change pattern with the observed one.
At annual scale, the parameters for input data adjustment are most sensitive.
A Novel Soil Moisture Predicting Method Based on Artificial Neural Network and Xinanjiang Model
Journal home Journal issue About the journal. The total number of behavioral parameter sets for each scenario was listed in Table 4.
Lei Wang, Yu Yun Kang. This algorithm is Bayesian in nature and operates by merging the strengths of the Metropolis algorithm, controlled random search, competitive evolution, and complex shuffling to continuously update the proposal distribution and evolve the sampler to the posterior target distribution [ 28 ].
Mathematical Problems in Engineering
The Xinanjiang model and the generalized likelihood uncertainty estimation GLUE method with the shuffled complex evolution Metropolis SCEM-UA sampling algorithm were used for hydrological modeling and uncertainty analysis, respectively. However, the Monte Carlo MC based sampling strategy of the prior parameter space typically utilized in GLUE is not particularly efficient in finding behavioral simulations.
This study also investigated the effect of baseflow on the uncertainty intervals in xinajjiang Xinanjiang model. Dingzhi Peng Dingzhi Peng. View at Google Scholar Q. The mean and the standard deviation of behavior parameter sets and efficiency indices under different thresholds for the baseflow efficiency xinanjuang were compared in Figure 5.
Therefore, the aim of this paper is to study how well the uncertainty can be reduced by considering baseflow estimation information obtained from the SMM method in the Xinanjiang model, which is a conceptual model, and has been widely used in many regions of China and in some other regions of the world for flood forecasting and water resources planning and assessment [ 17 ]. Comparison of the number of behavior parameter sets in different scenarios.
It has been widely used in many complex and nonlinear models [ 2526 ]. View at Google Scholar A.
Time scale dependent sensitivities of the XinAnJiang model parameters
Status Quo and Future: All available hydrograph separation methods including the SMM method used in this study attempt to separate a hydrograph into surface runoff and baseflow [ 142223 ]. A systematic comparison of nodel and hydrological methods for design flood estimation. The Jiangkou basin was selected as case study, which is located in the upper Hanjiang River Figure 3which is one of the largest tributaries to the Yangtze River. View at Google Scholar S.
Referring to Figure 6it can be seen that the high Nash-Sutcliffe efficiency coefficients corresponded well with the high baseflow efficiency coefficients.
Mathematical Problems in Engineering.
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