Effects of <i>Bothriochloa ischaemum</i>
Characteristics Induced by Nitrogen Addition
on the Process of Slope Runoff
and Sediment Yield

Neural network black box model for predicting the slope runoff and sediment yield and two empirical equations for calculating the slope runoff and sediment yield were established with the basis of practical field data of slope runoff and sediment amount by artificial simulated rainfall experiments. In additional, particle swarm optimization algorithm is used to inquire the empirical equation’s unknown parameters based on least square method. And results show that, neural network model might represent the nonlinear relationship between runoff, sediment amount and each impact factor excellently. Furthermore, predicted results are satisfactory and its relative error mean is around 10%. Empirical equations are reasonably and reliable, its relative error mean is less than 20%. These two methods provide an operable means for such intricate research of slope runoff and sediment yield predication and calculation.

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Experimental Analysis on Runoff and Sediment from Sloping Lands in Karst Region

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.1073-1076.1624 ◽

2014 ◽

Vol 1073-1076 ◽

pp. 1624-1629

Author(s):

Ying Ma ◽

He Hai Xie ◽

Chun Li

Keyword(s):

Sediment Yield ◽

Karst Area ◽

Karst Region ◽

Test Plot ◽

Rainfall Runoff ◽

Yield Model ◽

Artificial Rainfall ◽

Sloping Lands ◽

Runoff And Sediment Yield ◽

Slope Runoff

In order to study the features of Mountainous watershed runoff and erosion in karst region, , on the basis of design of experiment of the the big pore, slope runoff and erosion, artificial rainfall runoff experiment is made, by establishing artificial rainfall, slope runoff test plot. Large quantities of data were obtained through the artificial rainfall test. According to the experimental data, under different rainfall intensity, rainfall, under the pad surface and rainfall process, regularity of slope runoff and sediment yield in karst area is studied to provide data validation for the development of slope runoff and sediment yield model in karst region.

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Evaluation of bench terracing model parameters transferability for runoff and sediment yield on catchment modelling

Journal of African Earth Sciences ◽

10.1016/j.jafrearsci.2021.104177 ◽

2021 ◽

pp. 104177

Author(s):

Walid BenKhelifa ◽

Stefan Strohmeier ◽

Sihem Benabdallah ◽

Hamadi Habaieb

Keyword(s):

Sediment Yield ◽

Model Parameters ◽

Catchment Modelling ◽

Runoff And Sediment Yield

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Runoff and sediment yield from snowmelt and rainfall as influenced by forage type and grazing intensity

Canadian Journal of Soil Science ◽

10.4141/s97-067 ◽

1998 ◽

Vol 78 (4) ◽

pp. 699-706 ◽

Cited By ~ 7

Author(s):

S. I. Gill ◽

M. A. Naeth ◽

D. S. Chanasyk ◽

V. S. Baron

Keyword(s):

Sediment Yield ◽

Environmental Sustainability ◽

Grazing Intensity ◽

Annual Runoff ◽

Rainfall Simulation ◽

Sediment Yields ◽

Natural Rainfall ◽

Grazing Intensities ◽

Grazing Systems ◽

Runoff And Sediment Yield

Currently, there is interest in Western Canada in extending the grazing season using perennial and annual forages. Of greatest concern is the environmental sustainability of these grazing systems, with emphasis on their ability to withstand erosion. A study to examine the runoff and sediment yields of annual and perennial forages in central Alberta was initiated in 1994. Runoff and sediment yield were quantified under snowmelt and rainfall events for two seasons. Rainfall simulation was used to further examine runoff under growing season conditions. Four forage treatments (two annuals: triticale and a barley/triticale mixture and two perennials: smooth bromegrass and meadow bromegrass) and three grazing intensities (light, medium and heavy) were studied, each replicated four times. Total annual runoff was dominated by snowmelt. Generally runoff volumes, sediment yields, sediment ratios and runoff coefficients were all low. Bare ground increased with increasing grazing intensity and was significantly greater in annuals than perennials for all grazing intensities. Litter biomass decreased with increasing grazing intensity and was generally similar in all species for both years at heavy and medium grazing intensities. Results from the rainfall simulation corroborated those under natural rainfall conditions and generally indicated the sustainability of these grazing systems at this site. Key words: Forages, soil erosion, sustainability, rainfall simulation

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