ZHANG Jian, WEI Zhanmin, ZHANG Jinding and SU Rina. The Channel Leakage Simulation and Its Influence Factors Analysis Based on HYDRUS Model[J]. 2020, 34(1): 141-148.
DOI:
ZHANG Jian, WEI Zhanmin, ZHANG Jinding and SU Rina. The Channel Leakage Simulation and Its Influence Factors Analysis Based on HYDRUS Model[J]. 2020, 34(1): 141-148. DOI: 10.13870/j.cnki.stbcxb.2020.01.021.
The Channel Leakage Simulation and Its Influence Factors Analysis Based on HYDRUS Model
In order to find out the main factors affecting the leakage of pressure infiltration channels
the constant water level static water test method was adopted to carry out the leakage test of channels. Eight infiltration heads were set up to explore the change rules of the cumulative infiltration amount and infiltration rate of channels under different water depths
and Hydrus-2D software was selected for simulation analysis. The results showed that the simulated values and measured values were basically consistent. The RMSE values of infiltration rate were 0.003 6~0.376 3 cm/h
and RMSE was 0.001 7~0.300 9 m3 for cumulative infiltration amount
the average of R2 was always more than 0.9
indicating that the soil water movement equation and its related parameters were reasonable
the channel leakage evaluation was feasible. The influence of water depth
bottom width and slope coefficient were analyzed by field expansion test of Hydrus-2D model. The results showed that the change of channel water depth had a great influence on the infiltration rate
while the change of channel bottom width and slope coefficient had a small influence on the infiltration rate. The influence of channel water depth
bottom width and slope coefficient on cumulative infiltration amount was extremely significant (P<0.01)
and the degree of influence on cumulative infiltration amount was:channel water depth > channel bottom width > slope coefficient. Among them
the interaction between channel bottom width and slope coefficient had no significant influence on cumulative infiltration amount (P>0.05)
but the interaction between channel water depth and slope coefficient had an extremely significant correlation with cumulative infiltration amount (P<0.01)
and the interaction between channel water depth and slope width had an equally significant correlation with cumulative infiltration amount (P<0.01). This study could provide a reference for exploring the rule of water infiltration
improving the technology of seepage prevention and developing a new method for calculating leakage loss.
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Related Institution
Public Education and Research Center of Haizhu Wetland in Guangzhou
National-Regional Joint Engineering Research Center for Soil Pollution Control and Remediation in South China
Guangdong Key Laboratory of Integrated Agro-environmental Pollution Control and Management, Guangdong Institute of Eco-Environmental Science and Technology
Guangdong Key Laboratory for Urbanization and Geo-simulation
School of Geography and Planning, Sun Yat-sen University