The Analysis on the Effect of Silt Arrester System Construction in Small Watershed Runoff Sediment and the Evaluation of the Ecological Environment

2012 ◽  
Vol 518-523 ◽  
pp. 4782-4785
Author(s):  
An Li Ma ◽  
Bao Ku Yin
Keyword(s):  
Sediment Transport ◽  
Yellow River ◽  
Monitoring And Evaluation ◽  
Shanxi Province ◽  
Ecological Environment ◽  
The Yellow River ◽  
System Construction ◽  
Small Watershed ◽  
Monitoring Method ◽  
Small Watersheds

The monitoring and evaluation on silt arrester system of small watersheds involves monitoring indicators, data collection, analysis and evaluation etc. The Yellow River Water Conservancy Committee carried out a "small watersheds of the Loess Plateau model project" from 2005 to 2010 in the Yellow River sandy area. The project has 12 small watershed silt arresters, one of which is in Yonghe county of Shanxi province. This article takes the work of sediment transport monitoring in Yonghe silt arrester system as an example and describes the monitoring method, content, and finally analyzes the influence of silt arrester system construction and sediment transport on ecological environment.

scholarly journals Sediment Variation Characteristics of Major Rivers in the Middle Reaches of the Yellow River

2021 ◽  
Vol 5 (5) ◽  
pp. 20-26
Author(s):  
Yaxi Cai ◽  
Xiaodong Yang
Keyword(s):  
Sequence Analysis ◽  
Sediment Transport ◽  
River Basin ◽  
Yellow River ◽  
The Yellow River ◽  
Sediment Discharge ◽  
Variation Characteristics ◽  
Major River ◽  
Kendall Method ◽  
Hydrological Station

The sediment sequence analysis of Mann-Kendall method based on major rivers of 10 hydrological station in the middle reaches of the Yellow River [1]. The results show that: The main rivers in the middle reaches of the Yellow River hydrologic station sediment overall showed a trend of decreased significantly. Sediment discharge of all stations except Gao Jiachuan station have reached the maximum in 1956-1969s [2-3]. Among various hydrologic station sediment discharge of inter-generational are generally shows the tendency of reducing year by year. Calculate the sediment transport of major river basin of Yellow River, which average is 0.63.

scholarly journals Sediment transport under increasing anthropogenic stress: Regime shifts within the Yellow River, China

AMBIO ◽  
2020 ◽  
Vol 49 (12) ◽  
pp. 2015-2025
Author(s):  
Shuang Song ◽  
Shuai Wang ◽  
Bojie Fu ◽  
Yanxu Liu ◽  
Kevin Wang ◽  
...  
Keyword(s):  
Sediment Transport ◽  
Yellow River ◽  
Regime Shifts ◽  
The Yellow River ◽  
Anthropogenic Stress ◽  
Stress Regime

Experimental study of sediment transport processes and size selectivity of eroded sediment on steep Pisha sandstone slopes

2020 ◽  
Author(s):  
Pan Zhang ◽  
Pingqing Xiao ◽  
Chunxia Yang
Keyword(s):  
Sediment Transport ◽  
Flow Velocity ◽  
Overland Flow ◽  
Yellow River ◽  
Transport Processes ◽  
The Yellow River ◽  
Size Selectivity ◽  
Coarse Sediment ◽  
Sediment Particles ◽  
Slope Flow

<p>The Pisha sandstone area on the Ordos Plateau of China is the primary source of coarse sediment of the Yellow River. Sediment size distribution and selectivity greatly affect sediment transport and deposition. Hence, sediment transport processes and size selectivity by overland flow on Pisha sandstone slopes were investigated in this study. Experiments were run with Pisha sandstone soil (bulk density of 1.35 g/cm<sup>3</sup>) under rainfall intensities of 87 and 133 mm/h with a 25° slope gradient, and the duration of simulated rainfall is 1 h. Sediment and runoff were sampled at 2-min intervals to examine the size distribution change of the eroded sediment. The particle composition, enrichment rate, fractal dimension, and time distribution characteristics of median grain size (d<sub>50</sub>) of eroded sediment were comprehensively analyzed. Statistical analyses showed that the erosion process of Pisha sandstone slope mainly transported coarse sediment. More than 40% of eroded sediment particles were coarse sediment, which will become the main sediment in the lower reaches of the Yellow River bed. The particle size of eroded sediment tended to gradually decrease with the continuous rainfall but remained larger than the background value of Pisha sandstone soil after refinement. The fractal dimension was positively correlated with the slope flow velocity, while the d<sub>50</sub> was negatively correlated with the slope flow velocity. Overall, these findings show a strong relationship between the sediment transport and flow velocity, which indicates that the selectivity and transportation of sediment particles on the Pisha sand slopes is mainly influenced by the hydrodynamic parameters of overland flow. This study provides a methodology and data references for studying the particle selectivity characteristics of eroded sediment and provides a scientific basis for revealing the mechanism of erosion and sediment yield in the Pisha sandstone area of China.</p>

scholarly journals MODELING SEDIMENT TRANSPORT IN THE YELLOW RIVER MOUTH

2011 ◽  
Vol 1 (32) ◽  
pp. 13
Author(s):  
Haibo Zong ◽  
Pingxing Ding ◽  
Fengyan Shi
Keyword(s):  
Sediment Transport ◽  
Yellow River ◽  
Sediment Resuspension ◽  
River Mouth ◽  
Sediment Concentration ◽  
The Yellow River ◽  
Numerical Studies ◽  
Wave Effects ◽  
Coastal Sediment Transport ◽  
Yellow River Mouth

Yellow River is famous for its high sediment concentration, which carries a huge amount of sediment into Bohai Sea during the flood season. In the mouth of Yellow River, the suspended sediment concentration (here after: SSC) are relatively high and the average depth is generally shallow. Recent studies indicated that in the shallow and micro-tide area, wave usually is a primary mechanism for bottom sediment resuspension. Most numerical studies of sediment transport in the Yellow River mouth didn't include the wave effects. To analyze the sediment transport in the Yellow River mouth with wave effect, a Coastal Sediment Transport Modeling System (CSTMS) was applied in this study.

scholarly journals Comprehensive Partitions and Optimization Strategies Based on Tourism Urbanization and Resources and Environment Carrying Capacity in the Yellow River Basin, China

2021 ◽  
Author(s):  
Zhaofeng Wang ◽  
Qingqing Chen
Keyword(s):  
River Basin ◽  
Carrying Capacity ◽  
Yellow River ◽  
Yellow River Basin ◽  
Shaanxi Province ◽  
Shanxi Province ◽  
The Yellow River ◽  
Urbanization Level ◽  
The Yellow River Basin ◽  
Tourism Urbanization

Abstract A better understanding on the spatial matching relationship between tourism urbanization and resources and environment carrying capacity is vital for the regional selection of the key eco-livable tourist cities in the Yellow River Basin. This paper addressed this research issue by evaluating and partitioning tourism urbanization level and resources and environment carrying capacity of the Yellow River Basin in 2005, 2011 and 2018, using GIS technology, spatial autocorrelation model and partition method. Empirical results suggest that (1) The tourism urbanization level of Shaanxi province maintains the leading position, while Shanxi province has great development potential. The high value areas of resources and environmental carrying capacity concentrated in Gansu, Inner Mongolia and Shandong provinces. (2) The spatial agglomeration degree of tourism urbanization level and resources and environment carrying capacity have been improved. (3) The resources and the environment carrying capacity exhibits a greater restrictive effect on the current high-level areas of tourism urbanization, and the spatial correspondence between them is weak. Based on the findings of this study, a series of optimization strategies and policy suggestions have been proposed for promoting the sustainable development of tourism urbanization in the Yellow River Basin.

scholarly journals Study on the Evolution Monitoring of Topographic and Hydrological Characteristics of Small Watershed Based on Remote Sensing and GIS

2020 ◽  
Vol 24 (3) ◽  
pp. 297-303
Author(s):  
Hong Pan ◽  
Mostafa Khabazi
Keyword(s):  
Remote Sensing ◽  
Wavelet Transform ◽  
Principal Component ◽  
Remote Sensing And Gis ◽  
Small Watershed ◽  
Monitoring Method ◽  
Hydrological Characteristics ◽  
Small Watersheds ◽  
Binary Model ◽  
Monitoring Accuracy

Soil and water conservation is one of the key measures to improve the ecological environment of small watersheds and maintain the healthy life of the region. With the current method used to monitor the evolution of topographic and hydrological characteristics of a small watershed, the edge keeping index of the image and the signal-to-noise ratio of the image are low, the monitoring results are inaccurate, and there are some problems such as low edge keeping ability, poor denoising effect, and low monitoring accuracy. A monitoring method based on remote sensing and GIS for the evolution of topographic and hydrological characteristics of small watersheds is proposed. The hyperspectral data was transformed by the Principal Component Analysis (PCA). Group principal component images, use sparse representation method based on adaptive dictionary and dual-tree complex wavelet transform method to denoise principal component images with a small amount of information were the objectives of the paper; also the use the multi-scale wavelet transform to detect image edge; build a binary model of a pixel, extract vegetation index, and terrain factor based on a binary model of the pixel, and realize terrain and hydrological characteristics of the small watershed. The experimental results show that the proposed method has the high edge-preserving ability, good denoising effect, and high monitoring accuracy.

Equilibrium relations for water and sediment transport in the Yellow River

2021 ◽  
Vol 36 (2) ◽  
pp. 328-334
Author(s):  
Xujian Chen ◽  
Yuqi An ◽  
Zhihao Zhang ◽  
Chunhong Hu
Keyword(s):  
Sediment Transport ◽  
Yellow River ◽  
The Yellow River ◽  
Water And Sediment
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