Extreme rainfall erosivity: Research advances and future perspectives

Zhao, Yingshan; Zhu, Dayun; Wu, Zhigao; Cao, Zhen

doi:10.1016/j.scitotenv.2024.170425

Cited by 11 publications

(8 citation statements)

References 336 publications

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“…Most soil erosion is induced by a small number of intense rainstorms with short duration and high rainfall intensity [12]. To account for the rainfall events or series of events within a year, annual Rx1day and maximum consecutive 5-day precipitation amount (Rx5day) were considered as indicators of short-period erosional activity for each year, retrieved again from HadEX2 [50].…”

Section: Calculations and Evaluationmentioning

confidence: 99%

“…Since the projected R-factor increase is primarily attributed to the elevated probability of extreme precipitation events [13], the temporal correspondence between extreme rainfall events and soil erosion events deserves scrutiny considering their strong coupling [12]. A simple visual inspection revealed notable associations between erosive rainfalls and root exhumation events.…”

Section: Coincidence Between Wet Summers and Root-based Erosion Event...mentioning

confidence: 99%

“…The rainfall-runoff process is primarily responsible for causing soil erosion and transporting soil [5,6], driving the detachment of soil particles by rain splash [7][8][9][10] and the downslope transport of soil particles by runoff [11]. Extreme weather events, especially heavy rainfall [12], remove an increasing amount of soil from unprotected surfaces. A recent assessment project found an increase in rainfall erosivity for most regions in China.…”

Section: Introductionmentioning

confidence: 99%

“…A recent assessment project found an increase in rainfall erosivity for most regions in China. Under the SSP1-RCP2.6 and SSP5-RCP8.5 scenarios, the rainfall erosivity factor is expected to rise by 18.9 and 19.8% for the near-term and 26.0 and 46.5% for the long-term, respectively [13], underlining the importance of improved understanding of the generation, impacts, and future trends of extreme rainfall erosivity [12].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Rapid Estimation of Soil Erosion Rate from Exhumed Roots (Xiaolong Mts, China)

Kázmér,

Fang,

Zhou

et al. 2024

Land

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Soil erosion is a challenge worldwide, including in China. The dendrogeomorphic method was applied, for the first time, at Xiaolong Mts in Gansu Province to obtain a quantitative estimate of the soil erosion rate. The dataset built in this pilot study allowed the identification of exhumation texture in exposed roots between 1967 and 2002. The calculated mean erosion rate estimates (Era) ranged from 2.6 to 16.5 mm yr−1 and showed an increase with the slope steepness (s). The best fitting linear model (Era = 0.043(±0.017) × s + 3.09(±1.04); R² = 0.20; R²adj = 0.16; F = 6.18; p = 0.02) could be used in future research to determine and to map soil denudation in this part of the Xiaolong Mts. Notable associations were found between erosive rainfalls and root exhumation events. Daily (Rx1day) and 5-day (Rx5day) precipitation totals of 56 and 73 mm, respectively, seem to be critical thresholds which if exceeded will always induce root exhumation in the same year or in the consecutive season in the forest of the Xiaolong Mts in the studied period.

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Section: Calculations and Evaluationmentioning

confidence: 99%

Section: Coincidence Between Wet Summers and Root-based Erosion Event...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Rapid Estimation of Soil Erosion Rate from Exhumed Roots (Xiaolong Mts, China)

Kázmér,

Fang,

Zhou

et al. 2024

Land

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“…In recent years, researchers have used trend, abrupt change, and period algorithms to analyze extreme precipitation events in various regions. Research and explore the spatiotemporal changes of extreme precipitation index, summarize its changing rules, and improve local capabilities to cope with extreme precipitation (Zhao et al, 2024). For example, Chaubey et al (2022) found that the frequency of heavy precipitation in mid-latitude areas has generally increased in the past 50-100 years Yang et al (2024) analyzed the spatiotemporal characteristics of precipitation use efficiency (PUE) from 2001 to 2021 and studied climate driving factors.…”

Section: Introductionmentioning

confidence: 99%

Analysis of extreme precipitation variation characteristics in mountain grasslands of arid and semi-arid regions in China

Li,

Guan,

Wang

et al. 2024

Front. Environ. Sci.

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Introduction: With global warming, the disaster losses caused by extreme precipitation events are increasing. The poor natural conditions and climate change make the arid and semi-arid mountainous grassland area a sensitive region of climate change. The study on the spatio-temporal variation characteristics of extreme precipitation events in this region is helpful to improve the ability of climate prediction and disaster prevention and reduction in grassland.Methods: Based on the daily precipitation data of four meteorological monitoring stations in the Yinshanbeilu from 1970 to 2020, the trend analysis, M-K test and wavelet analysis were used to select seven typical extreme precipitation indicators to analyze the temporal and spatial characteristics of extreme precipitation.Results and Discussion: The results showed that the precipitation in the Yinshanbeilu increased in the past 51a, and the number of heavy rain days increased significantly. The significance test of CDD and CWD showed that the number of continuous dry days and continuous wet days decreased abruptly. The spatial analysis showed that the high value areas of R95p, R95d and PRCRTOT were all located in Siziwang Banner, and it could be concluded that the extreme precipitation risk was the highest in Siziwang Banner, while the low value areas of SDII, Rx1day, R95p and PRCRTOT were all located in Sonid Right Banner, which could be inferred that the Sonid Right Banner was relatively dry. The first main cycle of the seven indexes of extreme precipitation almost runs through the whole time series, and the starting point of the minimum main cycle changes inconsistent. In addition to the number of consecutive dry days, the other indices have a good correlation with annual precipitation, flood season and monthly precipitation from June to September, and July is the peak period of extreme precipitation events.

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Soil erosion estimation in a catchment with implemented soil and water conservation measures

Wang,

Ji,

Wang

et al. 2024

Earth Surf Processes Landf

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The variations in soil erosion significantly impact regional ecological security. Under rapid urbanisation, extensive ecological restoration and climate change, soil erosion development in the red soil region of southern China is ambiguous. Therefore, this study investigated the current (1980s–2020) and future (2050) erosion characteristics in a typical soil erosion control catchment (Changting section catchment) in this region by using the Cellular Automata Markov model and CMIP6 data to predict future scenarios and the Revised Universal Soil Loss Equation to estimate soil erosion. The results showed significant changes in the vegetation coverage of major land uses from 1980s to 2020, which was mainly caused by continuous soil and water conservation (SWC). The land use subtypes that were obtained by reclassifying land use based on the threshold of vegetation cover on soil erosion control, reflect a continuous transformation from those with poor SWC effectiveness to those with great SWC effectiveness. Therefore, the estimated soil erosion intensity continued to decrease from 1980s to 2020, and the contribution of land use/land cover (LULC) impacts ranged from 74%–195%. However, predictions of land use subtypes indicated that LULC may be stable after 2020; thus, soil erosion changed little when the climate was almost unchanged in 2050. Under climate change scenarios, soil erosion may increase by 111%–121%, and the contribution of precipitation impacts was 63%–66%. The major driving factor of soil erosion changes may shift from LULC to precipitation after 2020. Therefore, in the future, the potential for reducing soil erosion by vegetation restoration may be limited, and more engineering measures should be applied to address the erosion risk caused by climate changes. This study provides prospects for land use/land cover and soil erosion in the red soil region of southern China.

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Extreme rainfall erosivity: Research advances and future perspectives

Cited by 11 publications

References 336 publications

Rapid Estimation of Soil Erosion Rate from Exhumed Roots (Xiaolong Mts, China)

Rapid Estimation of Soil Erosion Rate from Exhumed Roots (Xiaolong Mts, China)

Analysis of extreme precipitation variation characteristics in mountain grasslands of arid and semi-arid regions in China

Soil erosion estimation in a catchment with implemented soil and water conservation measures

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