Interaction effects of rainfall and soil factors on runoff, erosion, and their predictions in different geographic regions

Ke, Qihua; Zhang, Keli

doi:10.1016/j.jhydrol.2021.127291

Cited by 27 publications

(12 citation statements)

References 62 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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“…In SEW models, each uncertainty component is identified. First, structural uncertainty happens when a model is just simplified with linear relationships between driven factors (Ke & Zhang, 2022) or missing one of them. Second, input uncertainty comes from measurements of the model parameters (e.g., soil attributes, precipitation, soil coverage) and the interpolation of those variables when applied at a large scale (Heuvelink & Webster, 2023).…”

Section: Time Periodmentioning

confidence: 99%

Advances in the study of soil erosion by water in Mexico published in Spanish

Varón‐Ramírez,

Guevara

2024

European J Soil Science

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Research on soil erosion by water (SEW) includes studies on different spatial and temporal scales. Nevertheless, in Mexico (as in many countries of the Latin American and the Caribbean Region), a lack of studies on SEW is constantly reported in high‐impact journals. We argue that this lack is mainly due to the language in which the majority of the scientific research about SEW in Mexico is published, which is Spanish. Therefore, the objective is to identify the main trends in SEW research in Mexico, through a review of peer‐reviewed studies published in Spanish. The review is centred on two sources of studies published in Spanish that are relevant to Mexican soil sciences communities: Scielo (Scientific Electronic Library Online) and Redalyc (Diamond Open Access scientific journal network non‐commercial global infrastructure owned by academia). As a result, we identified 37 relevant peer‐reviewed articles about SEW, and the principal article aim of these works is modelling and measuring SEW (45.9 and 29.7% of the total articles compiled, respectively). We observed that research on SEW in Mexico follows the same trends as global reports. For example, the most frequently implemented models are those in the Universal Soil Loss Equation and its variants. We observed no data‐sharing culture in most of the revised articles. Our results suggest that large‐scale studies on SEW are needed in Mexico to better understand its role in large‐scale earth system models. Therefore, we conclude that despite the scarce international visibility of Spanish‐written SEW research, multiple valuable studies have indeed been carried out and they provide relevant information for the development of baseline references towards enabling nationwide soil erosion monitoring programmes in Mexico.

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“…Using indoor rainfall simulation experiment, Fang et al (2015) and Sun et al (2021) also compared surface erosion processes on different loess soils and found that soil loss rate and rill development were significantly affected by soil properties. Annual runoff and soil loss from four types of soils were also evaluated through collecting published data in Chinese typical water erosion regions (Ke & Zhang, 2022). However, detailed responses of runoff and soil loss from different soils to different soil conservation measures still remain lacking.…”

Section: Introductionmentioning

confidence: 99%

“…Factors that influence soil erosion are multiple, including soil properties, rainfall and slope characteristics, land use, and soil conservation measures, and so forth. (Ke & Zhang, 2022; Xin et al, 2019), and soil erodibility and the susceptibility of soil to erosion agents are closely related to soil properties (Efthimiou, 2020; Zhang et al, 2008). The responses of runoff and soil loss to soil properties under different land use and soil conservation measures could differ greatly (Sun et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Impacts of land use and soil conservation measures on runoff and soil loss from two contrasted soils in the black soil region, northeastern China

Fang

2023

Hydrological Processes

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Runoff and soil loss characteristics on slopes and their responses to soil conservation measures and soil properties have not been fully understood. In the present study, runoff and sediment data from runoff plots with two contrasted soils (i.e., Phaeozenm and Luvisols) at the Liangshigou (LSG) and Erdaogou (EDL) catchments were used to study soil loss characteristics for the black soil region, northeastern China. The implemented soil conservation measures including cross ridge tillage, hedgerow, terrace, level trough, and biological measures can effectively control soil loss at the two sites, whereas the downslope ridge tillage (DRT) and bare plots yielded annual soil loss rates of 1230 t km À2 year À1 in 2014-2015 and 2020 and 580 t km À2 year À1 in 2020 which were much higher than the tolerable value (i.e., 200 t km À2 year À1 ). Under the same treatments, the Phaeozenm plots yielded much higher soil loss rates than the Luvisols plots, resulting from more erosive rainfall events and higher soil erodibility at the LSG catchment. The typical black region with the Phaeozenm soil should be the priority area to be implemented with soil conservation measures in northeastern China.

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Interaction effects of rainfall and soil factors on runoff, erosion, and their predictions in different geographic regions

Cited by 27 publications

References 62 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

Advances in the study of soil erosion by water in Mexico published in Spanish

Impacts of land use and soil conservation measures on runoff and soil loss from two contrasted soils in the black soil region, northeastern China

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