Event-Based Rainfall Interception Modeling in a Cerrado Riparian Forest—Central Brazil: An Alternative Approach to the IS Method for Parameterization of the Gash Model

Abstract

Although being the second largest biome in South America, the Cerrado biome is understudied in terms of hydrological modeling of the interception processes of its different vegetation types. To better understand its net precipitation components, high-temporal-resolution throughfall data were used to parameterize the Gash Analytical Model on a per storm basis. Two different methods (Single Event Regression—SI, and Particle Swarm Optimization—PSO) for parametrizing the Gash model were tested. Simulated throughfall from 35 events showed the Nash coefficient ranging from 0.779 to 0.989, confirming the good phenomenological approach of the Gash model. One of the most important results presented in this work was the analysis of the variability of the parameters. Considering the PSO method, we observed a mean free throughfall (ρ) of 0.17, with a confidence interval ranging from 0.16 to 0.18. The storage (S) confidence intervals ranged from 1.11 mm to 1.62 mm, with a mean value of 1.37 mm. The observed saturation depth (P′G) mean value was 1.66 mm, with a confidence interval from 1.35 mm to 1.97 mm. Finally, the mean evaporation precipitation rate (E/R) was of 0.20, with confidence bands from 0.15 to 0.24. Overall, there were observed higher losses from the Cerrado compared to other Brazilian biomes such as the Amazon and Atlantic Forest. These findings can contribute to the parameterization of hydrological models applied to the Brazilian Cerrado.

Radiation Balance and Partitioning of Latent and Sensible Heat Fluxes Over a Lime Orchard in Eastern Amazon

“…2). This situation increases the interception of water by the canopy of trees since the canopy is initially dry and needs to be saturated before the water can reach the underneath soil (Távora and Koide, 2020).…”

“…The production of Tahiti lime in Pará surpassed 150,000 t in 2020, and Tahiti lime corresponds to more than 25% of the citrus production in this state. There are published results about the energy balance of citrus in scientific literature and even though many concepts related to the energy partitioning can be extrapolated for various regions and climate conditions, some are quite specific and dependent on management practices and land cover (Bagley et al, 2017), such as the surface albedo (Vanomark et al, 2018). Most research on radiation balance for limes are carried out in different regions and management practices, and their results differ largely.…”