Chongqing Jinfo Mountain Karst Ecosystem National Observation and
Research Station, Chongqing Key Laboratory of Karst Environment, School of
Geographical Sciences, Southwest University, Chongqing 400715, China
Daoxian Yuan
Chongqing Jinfo Mountain Karst Ecosystem National Observation and
Research Station, Chongqing Key Laboratory of Karst Environment, School of
Geographical Sciences, Southwest University, Chongqing 400715, China
Key Laboratory of Karst Dynamics, MNR & Guangxi, Institute of Karst
Geology, Chinese Academy of Geological Sciences, Guilin 541004, China
Fuxi Zhang
College of Engineering Science and Technology, Shanghai Ocean
University, Shanghai Engineering Research Center of Marine Renewable Energy
201306, China
Jiao Liu
Chongqing Municipal Hydrological Monitoring Station, Chongqing 401120,
China
Mingguo Ma
Chongqing Jinfo Mountain Karst Ecosystem National Observation and
Research Station, Chongqing Key Laboratory of Karst Environment, School of
Geographical Sciences, Southwest University, Chongqing 400715, China
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Total article views: 4,068 (including HTML, PDF, and XML)
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Total article views: 2,051 (including HTML, PDF, and XML)
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A new karst hydrological model (the QMG model) is developed to simulate and predict the floods in karst trough valley basins. Unlike the complex structure and parameters of current karst groundwater models, this model has a simple double-layered structure with few parameters and decreases the demand for modeling data in karst areas. The flood simulation results based on the QMG model of the Qingmuguan karst trough valley basin are satisfactory, indicating the suitability of the model simulation.
A new karst hydrological model (the QMG model) is developed to simulate and predict the floods...
