A modified portable rainfall simulator for soil erosion assessment under different rainfall patterns

Macedo, Pietro Menezes Sanchez; Pinto, Marinaldo Ferreira; Sobrinho, Teodorico Alves; Schultz, Nivaldo; Coutinho, Thiago Altamir Rodrigues; Carvalho, Daniel Fonseca de

doi:10.1016/j.jhydrol.2021.126052

Cited by 20 publications

(19 citation statements)

References 34 publications

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“…High temporal resolution and continuous rainfall data are required for accurate estimation of R factor; however, such data rarely show good spatial and temporal coverage and are often not available in many regions and countries (Oliveira et al, 2013; Panagos et al, 2015). Therefore, the research on rainfall erosivity mostly focuses on the development of daily, monthly, and annual rainfall erosivity models (Bezak et al, 2020; Ke & Zhang, 2022; Kinnell, 2010; Ma et al, 2014; Menezes Sanchez Macedo et al, 2021; Qin et al, 2016; Wang et al, 2022; S. Yin et al, 2007). Previous studies have used a limited number of stations to study regional‐scale rainfall erosivity and validated the results, which may not be convincing, especially in areas where situ stations are sparse and unevenly distributed.…”

Section: Introductionmentioning

confidence: 99%

Improvement of satellite‐based rainfall product CHIRPS in estimating rainfall erosivity on the Loess Plateau

et al. 2023

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Satellite‐based rainfall products have great potential for estimating rainfall erosivity, as they can provide continuous spatiotemporal distribution of precipitation estimates over large areas, especially for monitoring in areas with complex terrain and extreme climates. This paper uses the daily rainfall derived from the satellite‐based CHIRPS product on the GEE platform and Zhang's daily rainfall erosivity model to calculate the rainfall erosivity on the Loess Plateau during the period of 1981–2020. The accuracy of rainfall erosivity for the CHIRPS product is evaluated by comparing the results to estimates from national meteorological stations, and then the calculation formula of rainfall erosivity is optimized to improve the accuracy of rainfall erosivity based on CHIRPS products. The results show that the annual average rainfall of the CHIRPS product at the locations of national meteorological stations in 1981–2020 is 473.7 mm, which is 6.8% higher than that observed by the meteorological stations. The multi‐year average value of daily rainfall and the yearly average rainfall both for days with rainfall larger than or equal to 12 mm are 15.9% and 18.2% greater than those of the meteorological stations, respectively, and eventually resulting in an overestimation of rainfall erosivity on the Loess Plateau by 44.0%. The annual mean rainfall erosivity interpolated based on meteorological stations and calculated from the gridded CHIRPS product in 1981–2020 is 1344.2 MJ·mm/(hm2·h) and 2013.7 MJ·mm/(hm2·h), respectively. This result suggests that rainfall erosivity estimated by gridded CHIRPS product is overestimated by 49.8%, of which 46.1% is due to the overestimation of erosive rainfall in gridded CHIRPS and 3.7% is caused by site density and interpolation. Satellite‐based CHIRPS product is similar to the observations of meteorological stations in total rainfall and trends, but differs in rainfall frequency and intensity, which is an important reason for the difference in rainfall erosivity between satellite‐based rainfall products and meteorological stations. The CHIRPS‐based rainfall erosivity calculated using the optimized parameters reduces the overestimation from 49.8% to 3.2%, greatly reducing the satellite‐based rainfall erosivity estimation error.

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Section: Introductionmentioning

confidence: 99%

Improvement of satellite‐based rainfall product CHIRPS in estimating rainfall erosivity on the Loess Plateau

et al. 2023

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“…The simulator operates with two Veejet 80.150 nozzles parallel to each other, positioned 2.3 m from the ground surface, with an average service pressure of 35.6 kPa. The diameter of drops applied by the simulator, considering the different pressure settings and rotation of the obturator disk, was exhaustively measured by Macedo et al (2021) [22] using the flour method. Alves Sobrinho et al 2008 [20] also made this assessment, confirming a mean drop diameter of 2.0 mm.…”

Section: Simulated Rainfall Treatmentsmentioning

confidence: 99%

Sustainable Agricultural Development Economics and Policy

2023

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Cover image courtesy of Gabriel Rezende Faria © 2023 by the authors. Articles in this book are Open Access and distributed under the Creative Commons Attribution (CC BY) license, which allows users to download, copy and build upon published articles, as long as the author and publisher are properly credited, which ensures maximum dissemination and a wider impact of our publications.The book as a whole is distributed by MDPI under the terms and conditions of the Creative Commons license CC BY-NC-ND.

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“…For example, the rainfall duration is generalized into three equal periods, and combinations of different rainfall intensities are designed by tuning several intensity peaks to simulate rainfall intensity patterns, such as increasing, decreasing, rising-falling, falling-rising and constant patterns (Wang et al, 2017;Alavinia et al, 2019;Macedo et al, 2021). However, the simplified synthesis approach may not adequately capture the complexities of intra-fluctuation in natural rainfall (Wang et al, 2016;Macedo et al, 2021;Liu et al, 2022). Natural rainfall events are notable for their continually erosion differences caused by intra-event rainfall variability.…”

Section: Introductionmentioning

confidence: 99%

Influence of intra-event rainfall variation on surface–subsurface flow generation and soil loss under different surface covers by long-term field observations

Duan

Zheng

Liu

et al. 2023

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Abstract. Rainfall is the main driver of runoff generation and soil erosion. The impacts of natural rainfall on water erosion have been extensively studied at an inter-event scale; however, very few studies have explored the intra-event influences and associated responses to different surface cover types. In this study, long-term in situ field observations of surface runoff, subsurface flow, and soil loss characteristics in three surface cover plots (bare land, litter and grass cover) under natural rainfall events were conducted from 2002 to 2012 in the red soil hilly region of southern China. According to the period of most concentrated rainfall, 262 rainfall events were classified into four types of intra-event variation: advanced, intermediate, delayed, and uniform patterns. For bare land, the advanced pattern with the shortest duration and the highest intensity was main rainfall type for surface runoff and soil loss; the contribution rates were 57.24 % and 75.17 % for surface runoff and soil loss, respectively. Sediment yields were more sensitive to intra-event rainfall variation than surface runoff. The highest subsurface flow was found in the delayed pattern with the longest duration and high depth, followed by the uniform, intermediate, and advanced patterns. For all rainfall patterns, compared to the bare land, surface cover significantly reduced surface runoff and soil erosion by 88.01 to 91.69 % and by 97.80 to 97.95 %, respectively, while subsurface flow was increased from 3.55 to 5.92 times. The reduction benefits of litter cover were comparable to those of grass cover. However, the increasing benefit of subsurface flow for litter cover for each rainfall pattern ranged from 1.38 to 2.67 times those of grass cover. Moreover, surface cover weakened the influences of intra-event rainfall variation on surface-subsurface flow and soil loss. The results demonstrated that intra-event rainfall variation had important effects on surface-subsurface flow and soil loss, and provided a basis for optimizing surface cover measures to effectively respond to extreme water erosion and drought caused by global climate change.

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A modified portable rainfall simulator for soil erosion assessment under different rainfall patterns

Cited by 20 publications

References 34 publications

Improvement of satellite‐based rainfall product CHIRPS in estimating rainfall erosivity on the Loess Plateau

Improvement of satellite‐based rainfall product CHIRPS in estimating rainfall erosivity on the Loess Plateau

Sustainable Agricultural Development Economics and Policy

Influence of intra-event rainfall variation on surface–subsurface flow generation and soil loss under different surface covers by long-term field observations

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