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

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.

Runoff and Sediment Yield From a Semi-Arid Woodland in Eastern Australia. 1. The Effect of Pasture Type.

1992 ◽  
Vol 14 (1) ◽  
pp. 26 ◽  
Author(s):  
DJ Eldridge ◽  
J Rothon
Keyword(s):  
Sediment Yield ◽  
New South ◽  
Threshold Level ◽  
Perennial Grasses ◽  
Rainfall Runoff ◽  
South Wales ◽  
Eastern Australia ◽  
Sediment Loss ◽  
Red Earth ◽  
Runoff And Sediment Yield

Some hydrological characteristics of a red earth soil were examined under two pasture types at Yathong in central-westem New South Wales using simulated rainfall. Runoff and rate of sediment loss from plots dominated by perennial grasses were lower than for plots dominated by ephemerals. Time-to-ponding was less on the plots dominated by ephemerals but time-to-runoff was similar for both pasture types. On both grass and ephemeral-dominant soils, measured soil and vegetation attributes explained very little of the variation in runoff and sediment yield. The results do not support the existence of a threshold level of vegetation cover below which runoff increases markedly.

The Characteristics of Runoff and Sediment Yield in Different Land Use Types in Southwest Mountains of Henan Province

2014 ◽  
Vol 1065-1069 ◽  
pp. 3267-3271
Author(s):  
Guo Zhong Wang ◽  
Ying Chao Tian ◽  
Jian Gang Qu ◽  
Jian Zhao Xu ◽  
Zhan Xin Liu ◽  
...  
Keyword(s):  
Land Use ◽  
Sediment Yield ◽  
Scientific Basis ◽  
Henan Province ◽  
Bed Load ◽  
Artificial Rainfall ◽  
Land Use Types ◽  
Function Relationship ◽  
Silt Load ◽  
Runoff And Sediment Yield

By indoor artificial rainfall simulator and slope plot test, the regularity of runoff and sediment yield of five types top soil— timber forest, shrubby grassland, terrace, slope cropland and waste-grassland under six kinds of rainfall intensity were studied in Danjiangkou Reservoir on southwest mountains of Henan Province to provide a scientific basis for comprehensive control of regional soil and water loss, to ensure the safety of water quality in the reservoir. The conclusions were that: (1) Land use types had less influence on the runoff comparing to sediment yield. (2) Sediment yield had obvious power function relationship with the runoff amount. (3) Bed load took up majority in the sediment yield of farmland soil while the bed load almost equaled to the value of silt load in woodland soil.

scholarly journals Rainfall-Runoff and Sediment Yield Modelling in Volcanic catchment using SWAT, a Case Study in Opak Watershed.

2019 ◽  
Vol 256 ◽  
pp. 012015
Author(s):  
N Christanto ◽  
M A Setiawan ◽  
A Nurkholis ◽  
S Istikhomah ◽  
D W Anajib ◽  
...  
Keyword(s):  
Sediment Yield ◽  
Rainfall Runoff ◽  
Runoff And Sediment Yield

Application of Neural Network and Particle Swarm Optimization Algorithm in Slope Runoff and Sediment Yield Calculation

2011 ◽  
Vol 201-203 ◽  
pp. 2496-2503
Author(s):  
Jun Huang ◽  
Pu Te Wu ◽  
Xi Ning Zhao ◽  
Juan Wang
Keyword(s):  
Neural Network ◽  
Particle Swarm Optimization ◽  
Relative Error ◽  
Optimization Algorithm ◽  
Sediment Yield ◽  
Particle Swarm Optimization Algorithm ◽  
Empirical Equations ◽  
Swarm Optimization ◽  
Runoff And Sediment Yield ◽  
Slope Runoff

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.

scholarly journals Relationship of Weather Types on the Seasonal and Spatial Variability of Rainfall, Runoff, and Sediment Yield in the Western Mediterranean Basin

Atmosphere ◽  
2020 ◽  
Vol 11 (6) ◽  
pp. 609 ◽  
Author(s):  
D. Peña-Angulo ◽  
E. Nadal-Romero ◽  
J.C. González-Hidalgo ◽  
J. Albaladejo ◽  
V. Andreu ◽  
...  
Keyword(s):  
Soil Erosion ◽  
Spatial Variability ◽  
Sediment Yield ◽  
High Frequency ◽  
Mediterranean Basin ◽  
Western Mediterranean ◽  
Rainfall Runoff ◽  
Western Mediterranean Basin ◽  
Relationship Of ◽  
Runoff And Sediment Yield

Rainfall is the key factor to understand soil erosion processes, mechanisms, and rates. Most research was conducted to determine rainfall characteristics and their relationship with soil erosion (erosivity) but there is little information about how atmospheric patterns control soil losses, and this is important to enable sustainable environmental planning and risk prevention. We investigated the temporal and spatial variability of the relationships of rainfall, runoff, and sediment yield with atmospheric patterns (weather types, WTs) in the western Mediterranean basin. For this purpose, we analyzed a large database of rainfall events collected between 1985 and 2015 in 46 experimental plots and catchments with the aim to: (i) evaluate seasonal differences in the contribution of rainfall, runoff, and sediment yield produced by the WTs; and (ii) to analyze the seasonal efficiency of the different WTs (relation frequency and magnitude) related to rainfall, runoff, and sediment yield. The results indicate two different temporal patterns: the first weather type exhibits (during the cold period: autumn and winter) westerly flows that produce the highest rainfall, runoff, and sediment yield values throughout the territory; the second weather type exhibits easterly flows that predominate during the warm period (spring and summer) and it is located on the Mediterranean coast of the Iberian Peninsula. However, the cyclonic situations present high frequency throughout the whole year with a large influence extended around the western Mediterranean basin. Contrary, the anticyclonic situations, despite of its high frequency, do not contribute significantly to the total rainfall, runoff, and sediment (showing the lowest efficiency) because of atmospheric stability that currently characterize this atmospheric pattern. Our approach helps to better understand the relationship of WTs on the seasonal and spatial variability of rainfall, runoff and sediment yield with a regional scale based on the large dataset and number of soil erosion experimental stations.

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