Abstract

Rainfall–runoff simulation is the basis of basin flood forecasting and water resource planning. However, karst basins are highly nonhomogeneous. With the intermittent uplift of the Earth’s crust, karst landscapes with large depressions and nonhomogeneous vertical orientations have developed in many places, with the surface being covered with depressional soil layers and surrounded by hills. Thus, the springs are recharged in various ways. To better represent the transformation relationship between rainfall, soil water, fissure water, and conduit water, we proposed a conceptual hydrological model called the karst Sacramento (KSAC) model to simulate the rainfall–runoff processes in karst basins. The model couples Sacramento (SAC) and tank models to simulate rainfall–runoff processes in the soil layer of karst depressions and exposed carbonate rock areas, respectively. The KSAC model was applied to the simulation of rainfall–runoff in the Yuquandong (YQD) karst spring basin in central China. The simulation results revealed that the proposed model achieves satisfactory performance in simulating hourly rainfall–runoff processes. The model was further applied to water cycle processes and water resource evaluation studies in the basin. A comparison of models revealed that depressions were more effective in regulating karst groundwater circulation processes. This study can improve our understanding of complex and variable hydrological processes that occur in karst basins.

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Data Availability Statement

The hydrological and meteorological data, models, and code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

This study was financially supported by the China Geological Survey Project (DD20190824). We are grateful to all the reviewers whose constructive comments significantly improved the presentation of this work.

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Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 28Issue 9September 2023

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Received: Nov 15, 2022
Accepted: Apr 13, 2023
Published online: Jun 20, 2023
Published in print: Sep 1, 2023
Discussion open until: Nov 20, 2023

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Ph.D. Student, School of Environmental Studies, China Univ. of Geosciences, Wuhan 430074, China. ORCID: https://orcid.org/0000-0001-9354-766X. Email: [email protected]
Associate Professor, School of Environmental Studies, China Univ. of Geosciences, Wuhan 430074, China. Email: [email protected]
Ph.D. Student, School of Environmental Studies, China Univ. of Geosciences, Wuhan 430074, China. Email: [email protected]
Ph.D. Student, Institute of Geological Survey, China Univ. of Geosciences, Wuhan 430074, China. Email: [email protected]
Ph.D. Student, Institute of Geological Survey, China Univ. of Geosciences, Wuhan 430074, China. Email: [email protected]
Associate Professor, School of Environmental Studies, China Univ. of Geosciences, Wuhan 430074, China. Email: [email protected]
Mingming Luo [email protected]
Associate Professor, School of Environmental Studies, China Univ. of Geosciences, Wuhan 430074, China. Email: [email protected]
Professor, School of Environmental Studies, China Univ. of Geosciences, Wuhan 430074, China (corresponding author). ORCID: https://orcid.org/0000-0001-5957-8534. Email: [email protected]

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