Effect of Slope Gradient on Erosion Evolution Process at Microtopographic Tillage Soil Surfaces

Zheng, Wei; Zhang, Hui; Jiang, Yun; Zhang, Xin; Tong, Yawen

doi:10.4236/jgis.2019.115029

Cited by 4 publications

(2 citation statements)

References 21 publications

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“…The steep slopes also happen to increase the cumulative surface runoff as compared to the gentle slopes and flat areas (Wang et al, 2023). The surface runoff thus detaches soil particles and carries them more easily on steep slopes than on gentle slopes (Zheng et al, 2019;Wang et al, 2023).…”

Section: Discussionmentioning

confidence: 99%

Simulation and prediction of soil loss using the RMMF and CA-Markov models in the Upper Tana River basin, Kenya

Wafula,

Kimwatu

2024

Preprint

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Soil loss is one of the major environmental concerns with significant negative implications on top soil loss, land degradation, waterbody sedimentation and agricultural productivity. These losses arise from the complex interaction of climatic, biophysical, and anthropogenic factors. This study aimed at assessing and predicting soil loss using the Revised Morgan-Morgan Finney (RMMF) model and CA-Markov chain analysis in the Upper Tana basin. The datasets used included: rainfall intensity, mean daily rainfall, total annual rainfall, land use land cover, canopy height, soil moisture content, soil bulk density, canopy cover fraction, fraction of rainfall not intercepted by canopy, ground cover fraction, root depth, soil surface cohesion, soil detachability factor, evapotranspiration and the digital elevation model. The GIS-based RMMF model was used to simulate soil losses for the years 2002, 2012 and 2022 while the CA-Markov was used for predicting soil loss for the year 2030. The findings revealed that total soil loss exhibited a decreasing trend between 2002 and 2012 from 30159416.72 t/ha to 28762653.24 t/ha and later increased in 2022 which showcased the highest recorded level of 43527091.89 t/ha with a mean of 14.838±32.55 t/ha, 14.400±32.11 t/ha and 21.063±29.87 t/ha respectively. By 2030, the very low soil loss is expected to have a higher coverage of 60.14% followed by the low at 36.77%, the moderate at 0.31%, the high at 0.12% and the very high class at 2.67% of the total area. The study concluded that the anthropogenic, biophysical and climatic factors each play a key role in soil loss.

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Section: Discussionmentioning

confidence: 99%

Simulation and prediction of soil loss using the RMMF and CA-Markov models in the Upper Tana River basin, Kenya

Wafula,

Kimwatu

2024

Preprint

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“…Wen et al [ 19 ] analyzed various soil erosion control measures adopted in different periods, and the balance of water and soil conservation was evaluated. Based on the laboratory inflow experiment, Zheng et al [ 20 ] studied the effect of slope gradient on soil erosion under continuous rainfall conditions and derived the critical value of the slope gradient. Qian et al [ 21 ] obtained linear relationships between different combinations of Re, flow velocity, stream power, and sediment yield in a simulated rainfall experiment on eroded slopes.…”

Section: Introductionmentioning

confidence: 99%

Exploring Applicability of Different Ecological Protection Measures for Soil and Water Loss Control of Highway Slope in the Permafrost Area: A Case Study of Qinghai-Tibet Highway in China

Qin

Yang

et al. 2023

IJERPH

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A variety of slope water and soil conservation measures have been taken along the Qinghai-Tibet Highway, but the systematic comparison of their erosion control ability needs to be strengthened, especially in the permafrost area. To explore the applicability of different measures to control runoff and sediment yield, field scouring experiments were conducted for different ecologically protected slopes, including turfing (strip, block, full), slope covering (gravel, coconut fiber blanket), and comprehensive measures (three-dimensional net seeding). Compared with the bare slope, the bulk density of the plots with the ecological protection measure decreased, the moisture-holding capacity and the organic matter increased correspondingly, and the average runoff velocity also decreased. The soil loss and runoff had a similar trend of different ecological protection measures. The relationship between the cumulative runoff and sediment yield of different measures exhibited a power function, with the increase of scouring flow and the runoff reduction benefit and sediment reduction benefit in different ecological protection-measured plots showing a decreasing trend. The average runoff reduction benefit decreased from 37.06% to 6.34%, and the average sediment reduction benefit decreased from 43.04% to 10.86%. The comprehensive protection measures had the greatest protection efficiency, followed by turfing, while the cover measure had limited improvement. Soil characteristics, vegetation coverage, and the scouring inflow rate are key factors that influence protection efficiency. The results suggest that comprehensive measures and turfing be taken rather than cover measures or bare slopes. This work provides an experimental reference for ecological protection methods for highway slopes in the permafrost area.

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Analysis of erosion hazard level and land rehabilitation pattern with the RUSLE method based on GIS at Wai Tala Watershed in West Seram Regency Maluku Province

Talakua,

Osok,

Talakua

2024

J. Degrade. Min. Land Manage.

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This study used the Revised Universal Soil Loss Equation (RUSLE) and Geographical Information System (GIS) to estimate the annual rate of soil loss, map erosion factors, and recommend a suitable pattern of land rehabilitation in Wai Tala watershed, Regency of Western Seram. The research material used in this study were rainfall data for 38 years, Digital Elevation Model Nasional (DEMNAS) Image Map, Rupa Bumi Indonesia (RBI), geology, soil, land use, and watershed boundaries of Maluku Province. Field research was conducted on 187 land units, and each land unit contained RUSLE erosion factors: topography, soil type, and land use. The spatial distribution of erosion factors was processed using the Arc.GIS10.8, and the soil erosion rates were estimated using the RUSLE method, then corrected using the land degradation model developed in small islands in Maluku. The results showed that the level of erosion hazard in the Wai Tala watershed was none to slight (mean = 3.54 t/ha/yr), moderate erosion (21.52 t/ha/yr), high erosion (110.01 t/ha/yr), and very high erosion (252.84 t/ha/yr). The recommended land rehabilitation patterns that can reduce annual soil loss lower than the tolerable limit are maintaining the none to slight erosion areas with the present land uses in particular primary and secondary forests, and with reforestation or agroforestry patterns combined with low to high-density garden plants or with low to high densities cover crop at the moderate to very high erosion areas.

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Effect of Slope Gradient on Erosion Evolution Process at Microtopographic Tillage Soil Surfaces

Cited by 4 publications

References 21 publications

Simulation and prediction of soil loss using the RMMF and CA-Markov models in the Upper Tana River basin, Kenya

Simulation and prediction of soil loss using the RMMF and CA-Markov models in the Upper Tana River basin, Kenya

Exploring Applicability of Different Ecological Protection Measures for Soil and Water Loss Control of Highway Slope in the Permafrost Area: A Case Study of Qinghai-Tibet Highway in China

Analysis of erosion hazard level and land rehabilitation pattern with the RUSLE method based on GIS at Wai Tala Watershed in West Seram Regency Maluku Province

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