An enhanced rainfall–runoff model with coupled canopy interception. Issue 8 (29th January 2020)

• Record Type: Journal Article
• Authors: Tao, Wanghai; Wang, Quanjiu; Guo, Li; Lin, Henry; Chen, Xiaopeng; Sun, Yan; Ning, Songrui
• Is Part Of: Hydrological processes. Volume 34:Issue 8(2020)
• Page Start: 1837
• Page End: 1853
• Publication Date: 2020-01-29
• Subjects: overland flow -- physical‐based model -- rainfall interception -- vegetation growth; Hydrology -- Periodicals; Hydrology -- Research -- Periodicals; Hydrologic models -- Periodicals; Hydrological forecasting -- Periodicals; 631.432
• DOI: 10.1002/hyp.13696
• Languages: English
• ISSNs: 0885-6087

Abstract

Abstract: The translation of rainfall to runoff is significantly affected by canopy interception. Therefore, a realistic representation of the role played by vegetation cover when modelling the rainfall–runoff system is essential for predicting water, sediment, and nutrient transport on hillslopes. Here, we developed a new mathematical model to describe the dynamics of interception, infiltration, and overland flow on canopy‐covered sloping land. Based on the relationship between rainfall intensity and the maximum interception rate, the interception process was modelled under two simplified scenarios (i.e., r e ≤ Int m and r e > Int m ). Parameterization of the model was based on consideration of both vegetation condition and soil properties. By analysing the given examples, we found that Int m reflects the capacity of the canopy to store the precipitation, k reveals the ability of the canopy to retain the intercepted water, and the processes of infiltration and runoff generation are impacted dramatically by Int m and k . To evaluate the model, simulated rainfall experiments were conducted in 2 years (2016 and 2017) across six cultivation plots at Changwu State Key Agro‐Ecological Experimental Station of the Chinese Loess Plateau. The parameters were obtained by fitting the unit discharge (simulated rainfall experiments in 2016) using the least squares method, and estimation formulas for parameters pertaining to vegetation/soil factors (measured in 2016) were constructed via multiple nonlinear regressions. By matching the simulated results and unit discharge (simulated rainfall experiments in 2017), the validity of the model was verified, and a reasonable precision (average R 2 = .86 and average root mean square error = 6.45) was obtained. The model developed in this research creatively incorporates the canopy interception process to complement the modelling of rainfall infiltration and runoff generation during vegetation growth and offers an improved hydrological basis to analyse matter transport during rainfall events. Abstract : A new mathematical model was developed to describe the dynamics of interception, infiltration, and overland flow on canopy‐covered sloping land. The parameters can be easily estimated by vegetation/soil factors. The model creatively combines the canopy interception process to complement the modelling of rainfall infiltration and runoff generation when there is vegetation growth and offers a more precise hydrological basis to analyse matter transport during rainfall events.