A Cellular Automata Based Rainfall-Runoff Model for Urban Inundation Analysis Under Different Land Uses

Yao, Shuang; Chen, Nengcheng; Du, Wenying; Cuizhen, Chen

doi:10.1007/s11269-021-02826-2

Cited by 10 publications

(4 citation statements)

References 30 publications

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“…In recent years, the development of rainfall-runoff models utilizing Cellular Automata (CA) have demonstrated to be relatively simple compared to hydrodynamic models, while maintaining sufficient computational accuracy. These models possess the capability to not only calculate the runoff and infiltration of slopes during rainfall events but also dynamically visualize the spatial variation of the calculated results, which offers significant application prospects 23 – 27 .…”

Section: Introductionmentioning

confidence: 99%

GIS and cellular automata based slope rainwater movement process model and its application

Liu,

Chen,

Zhang

et al. 2024

Sci Rep

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Rainfall serves as a significant factor contributing to slope stability challenges in mountainous areas, and simulating the process of slope rainwater movement is a crucial approach for analyzing the stability of slopes triggered by rainfall. By combining computer numerical simulation technology with traditional hydraulic and hydrological calculation theories, it is possible to create an efficient and precise rainwater movement model that can simulate and analyze the process of rainwater movement on slopes. Utilizing natural slopes as the focal point of our research, the cellular automaton method was applied to simulate rainfall runoff on slopes, and a Cellular Automata (CA) based model for rainwater movement process was developed. This model modified the Green-Ampt (G-A) infiltration model by adopting an elliptical water content curve and introducing a coefficient that quantifies the ratio of saturated to unsaturated depth. Additionally, we refined the rules governing runoff generation and convergence within the slope and on its surface, enabling a comprehensive simulation of the entire rainwater movement process on the slope. Furthermore, the effectiveness of the model was validated through analytical solutions derived from simplified assumptions, laboratory experiments on infiltration and runoff in the flume, and a case study of a natural slope. The results show that the infiltration calculation results of the rainwater movement model are closer to the experimental values, and their overall values are slightly higher than the measured values, which are basically consistent with the model test results; The runoff calculation results show a phenomenon of initially increasing and gradually approaching the measured values compared to the measured values. When applying the model to an actual slope, it was found that the model comprehensively accounts for the influence of slope seepage, infiltration and runoff process, has better performance compared to G-A modified model. The model can be used to describe the spatial distribution and temporal variation of infiltration and runoff processes.

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Section: Introductionmentioning

confidence: 99%

GIS and cellular automata based slope rainwater movement process model and its application

Liu,

Chen,

Zhang

et al. 2024

Sci Rep

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“…The CA approach has strong potential advantages in simulating water diffusion processes controlled by microtopography and has already been applied in simulating surface runoff, flooding, soil and water erosion, and mudslide [20][21][22]. Different from subcatchment-based models, CA-based models use grid cells as spatial units to present fine spatial heterogeneities (including terrain variability) within a subcatchment [23].…”

Section: Introductionmentioning

confidence: 99%

Development of an Integrated Urban Flood Model and Its Application in a Concave-Down Overpass Area

Yan,

Zhang,

Zhang

et al. 2024

Remote Sensing

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Urban floods caused by extreme rainstorm events have increased in recent decades, particularly in concave-down bridge zones. To simulate urban flooding processes accurately, an integrated urban flood model (IUFM) was constructed by coupling a distributed urban surface runoff model based on the cellular automata framework (CA-DUSRM), a widely used pipe convergence module in the storm water management model (SWMM), with an inundation module that describes the overflow expansion process associated with terrain and land-cover. The IUFM was used in a case study of the Anhua Bridge (a typical concave-down overpass) study area in Beijing, China. The spatial-temporal variations in flood depth modeled by the IUFM were verified to be reliable by comparison with actual measurements and other simulations. The validated IUFM was used to obtain temporal variations in flood range, depth, and volume under four rainstorm scenarios (return periods of 3-year, 10-year, 50-year, and 100-year). The results showed that the surface runoff process, overflow from drainage networks, and overflow expansion process could affect the flooding status by changing the composition and spatial configuration of pervious or impervious patches, drainage capacity, and underlying surface characteristics (such as terrain and land-cover). Overall, although the simulation results from the IUFM contain uncertainties from the model structures and inputs, the IUFM is an effective tool that can provide accurate and timely information to prevent and control urban flood disasters and provide decision-making support for long-term storm water management and sponge city construction.

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“…In recent years, the construction of rainfall runoff models based on cellular automata (CA) has been relatively simple compared to hydrodynamic models, and can ensure sufficient computational accuracy. It can not only calculate the runoff generation and sink flow within slopes, but also dynamically display the spatial variation process of runoff, which has great application prospects [22][23][24][25][26] 。…”

Section: Introductionmentioning

confidence: 99%

GIS and Cellular Automata based slope rainwater movement process model and its application

Liu,

Chen,

Zhang

et al. 2024

Preprint

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Rainfall is an important cause of slope stability issues in mountainous areas, and simulating the process of slope rainwater movement is an important method for analyzing the stability of rainfall induced slopes. By combining computer numerical simulation technology with traditional hydraulic and hydrological calculation theories, an efficient and accurate rainwater movement model can be constructed for simulating and analyzing the rainwater movement process on slopes. Taking natural slopes as the research object, the cellular automaton method was applied to simulate rainfall runoff on slopes, and a Cellular Automata (CA) based model for rainwater movement process was developed. The model modified the Green-Ampt (G-A) infiltration model, adopted an elliptical water content curve, and introduced a coefficient to describe the ratio of saturated to unsaturated depth; At the same time, improvements were made to the rules of runoff generation and convergence within the slope and on the slope surface to simulate the entire rainwater movement process on the slope. Furthermore, the effectiveness of the model was validated through analytical solutions under simplified conditions, laboratory experiments on rainfall and runoff in the flume, and calculation results from on-site monitoring data at the slope scale. The results show that the infiltration calculation results of the rainwater movement model are closer to the experimental values, and their overall values are slightly higher than the measured values, which are basically consistent with the model test results; The runoff calculation results show a phenomenon of initially increasing and gradually approaching the measured values compared to the measured values. Using the model established in this paper for the on-site slope, it was found that the model can fully consider the influence of slope inner diameter flow and unsaturated layer infiltration process, simulate slope infiltration and runoff processes more reasonably, and dynamically output results at different times.

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A Cellular Automata Based Rainfall-Runoff Model for Urban Inundation Analysis Under Different Land Uses

Cited by 10 publications

References 30 publications

GIS and cellular automata based slope rainwater movement process model and its application

GIS and cellular automata based slope rainwater movement process model and its application

Development of an Integrated Urban Flood Model and Its Application in a Concave-Down Overpass Area

GIS and Cellular Automata based slope rainwater movement process model and its application

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