Temporally downscaling a precipitation intensity factor for soil erosion modeling using the NOAA-ASOS weather station network

Fullhart, Andrew T.; Nearing, M. A.; McGehee, Ryan P.; Weltz, Mark A.

doi:10.1016/j.catena.2020.104709

Cited by 7 publications

(3 citation statements)

References 36 publications

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“…The precipitation erosivity in 2050 was significantly greater than that in 2020. Therefore, soil erosion is closely related to precipitation intensity [ 22 , 32 , 33 ]; that is, future climate change is more conducive to the occurrence of soil erosion [ 34 , 35 ].…”

Section: Resultsmentioning

confidence: 99%

Do Ecological Restoration Projects Improve Water-Related Ecosystem Services? Evidence from a Study in the Hengduan Mountain Region

Yin

Zhang

2022

IJERPH

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Land use/land cover (LULC) and climate change are major driving forces that impact ecosystem services and affect human well-being directly and indirectly. Under the future interaction between LULC and climate change, the impact of different land management and climate change scenarios on water-related services is uncertain. Based on this, the CLUMondo model, which focuses on land use intensity, was used to simulate the land system under different land management scenarios in the future. By coupling the downscaled climate scenario data, this study used the InVEST and RUSLE models to estimate the annual water yield and soil erosion in 2050 in the Hengduan Mountain region and analyzed the variation differences in different sub-watersheds. The results indicated that, under the influence of LULC and climate change, when compared with the amount for 2020, the soil erosion in the Hengduan Mountain region in 2050 was reduced by 1.83, 3.40, and 2.91% under the TREND scenario, FOREST scenario, and CONSERVATION scenario, respectively, while the water yield decreased by 5.05, 5.37, and 5.21%, respectively. Moreover, the change in soil erosion in the study area was affected by precipitation and closely related to the precipitation intensity, and the impact of climate change on the water yield was significantly greater than that of LULC change. The spatial heterogeneity of soil erosion and water yield was obvious at the sub-watershed scale. In the future, soil erosion control should be strengthened in the northern regions, while water resource monitoring and early warning should be emphasized in the central-eastern regions. Our results provide scientific guidance for policy makers to formulate better LULC policies to achieve regional water and soil balance and sustainable management.

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Section: Resultsmentioning

confidence: 99%

Do Ecological Restoration Projects Improve Water-Related Ecosystem Services? Evidence from a Study in the Hengduan Mountain Region

Yin

Zhang

2022

IJERPH

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“…Other studies used climatic probabilistic projections such as the UKCP09 [47] with statistical downscaling, as in the case of Bussi et al [48] or Ciampalini et al [3] over basins of the Great Britain. Weather generators are also frequently used as an alternative method for downscaling data for soil erosion modeling as in Chen et al [49] (i.e., GPCC, The Generator for Point Climate Change), the CLIGEN ("The CLImate GENerator") in Fullhart et al [50] (2020), and many other [51,52]. Lastly, in recent works at a continental scale, Borrelli et al [22,53], inspected rainfall erosivity using 14 GCMs from the WorldClim dataset [54] downscaled at 30 arc-second (~1 km 2 ) matching them as covariates with gauge series observations for present and future to simulate soil erosion over three Representative Concentration Pathways (RCPs) climatic scenarios, while Panagos et al [55], compared future rainfall erosivity at 30 arc-second obtained by 19 downscaled General Circulation Models (GCMs), over three RCPs for the periods 2041-2060 and 2061-2080 using GloREDa (Global Rainfall Erosivity Database, Panagos et al [56]) with 20 regional studies.…”

Section: Introductionmentioning

confidence: 99%

Soil Erosion in a British Watershed under Climate Change as Predicted Using Convection-Permitting Regional Climate Projections

Ciampalini,

Kendon,

Constantine

et al. 2023

Geosciences

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Climate change can lead to significant environmental and societal impacts; for example, through increases in the amount and intensity of rainfall with the associated possibility of flooding. Twenty-first-century climate change simulations for Great Britain reveal an increase in heavy precipitation that may lead to widespread soil loss by rising the likelihood of surface runoff. Here, hourly high-resolution rainfall projections from a 1.5 km (‘convection-permitting’) regional climate model are used to simulate the soil erosion response for two periods of the century (1996–2009 and a 13-year future period at ~2100) in the “Rother” catchment, West Sussex, England. Modeling soil erosion with EROSION 3D, we found a general increase in sediment production (off-site erosion) for the end of the century of about 43.2%, with a catchment-average increase from 0.176 to 0.252 t ha−1 y−1 and large differences between areas with diverse land use. These results highlight the effectiveness of using high-resolution rainfall projections to better account for spatial variability in the assessment of long-term soil erosion than other current methods.

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“…For example, to address the relationship between land use and response of soil erosion, Wang Huan et al (2019) carried out quantitative attribution on soil erosion in different geomorphic areas of Sanchahe watershed, which showed that land use had the highest explanatory power for soil erosion, and the soil erosion risk of cultivated land was higher than that of other land use types (Borrelli et al 2017b;Dai et al 2017;Li et al, 2018). Based on the fixed-point monitoring of slope surface, the influence of different rainfall intensity on soil erosion mode is significant (Fullhart et al 2020;Wu et al 2018), and the spatial distribution of soil erosion directly affects the spatial change of soil nutrient loss (Zeng et al 2018). In addition, relevant researches have been carried out on the mechanism of soil erosion (Li et al 2017;Peng and Wang 2012;Shen et al 2008;Wang et al 2013a) , the construction of soil erosion model (Geissen et al 2008;Kheir et al 2010;Liu 2016;Xu et al 2008) and the temporal and spatial variation of soil erosion (He et al 2018;Wang et al 2016).…”

Section: Introductionmentioning

confidence: 99%

Explicitly Analyze the Soil Erosion in the Karst and Non-Karst Area of Different Morphological Types in Guizhou of China

Lan

Fan

Zhao

et al. 2021

Preprint

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How to explicitly understanding the soil erosion intensity change in different geomorphological types is one of key issues in the field of soil and water conservation. According to classification criterion of soil erosion intensity of China, the spatial soil erosion data with the resolution of 10 m×10m in Guizhou Province were obtained by combing with the multi-resolution remote sensing data of ALOS, ZY-3, GF-1, Landsat and GDEMV2, and 2762 field sampling data in 2010 and 2015, respectively. a spatial analysis model of soil erosion was improved to analyze the spatiotemporal change of soil erosion intensity in karst and non karst area of Guizhou province, which involved the spatial soil erosion data and different geomorphological type data of Guizhou province. The results show that the soil erosion intensity decreased by 6468.13km 2 in Guizhou Province from 2010 to 2015. The dynamic change intensity in the high-altitude area is larger than in the low-altitude area. The soil change intensity in karst area is higher than in non karst area, especially in the high and middle elevation area in Guizhou province. Moreover, the decreasing ratio of soil erosion intensity in karst area is generally larger than in non karst area, which can be used to explain that the ecological restoration projects and water soil conservation polices carried out in karst area has a good effect, especially in western of Guizhou province from 2010 to 2015, one the other hand, the soil erosion in non karst area should also be focused by local government in the future.

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Temporally downscaling a precipitation intensity factor for soil erosion modeling using the NOAA-ASOS weather station network

Cited by 7 publications

References 36 publications

Do Ecological Restoration Projects Improve Water-Related Ecosystem Services? Evidence from a Study in the Hengduan Mountain Region

Do Ecological Restoration Projects Improve Water-Related Ecosystem Services? Evidence from a Study in the Hengduan Mountain Region

Soil Erosion in a British Watershed under Climate Change as Predicted Using Convection-Permitting Regional Climate Projections

Explicitly Analyze the Soil Erosion in the Karst and Non-Karst Area of Different Morphological Types in Guizhou of China

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