Sediment load change with erosion processes under simulated rainfall events

Sun, Liying; Fang, Haiyan; Qiangguo, Cai; Yang, Xihua; He, Jin; Zhou, John L.; Wang, Xunming

doi:10.1007/s11442-019-1641-y

Cited by 13 publications

(6 citation statements)

References 70 publications

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“…It could be seen that the value of the velocity increased with increase in slope for all locations. This agrees with Sun et al, (2019) who proposed a velocity-discharge slope relationship that shows that the flow velocity increases as a function of slope gradient. It could also be seen that there were significant differences between the values of the velocity at different locations but on the same slope.…”

Section: Velocity Of Flow Through the Soil Samples Collected At The Different Locationssupporting

confidence: 91%

Boundary Influence and Flow Characteristics of Orisa and Ala Rivers in Kwara and Ondo States, Nigeria

Elemile

Folorunso

2021

LAUJOCES

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In this study, the effects of boundary influence on flow characteristics of Rivers Ala and Orisa were investigated. Soil samples were collected from three points each from both rivers namely Glory Parish Area (GPA), Olusola Oke Area (OOA) and Fiwasaye; Aran-Orin Area (AOA), Rore and Omu-Aran on Rivers Ala and Orisa Respectively. A MGG/KL-DCB Portable Electromagnetic Velocity Meter was used to measure the in-situ readings of discharge and velocity at the various points. The sediments collected from the sampling points were placed in the Flume in the Hydraulic Laboratory of Civil Engineering Department, Landmark University. The Flume was then set with the measured parameter (Discharge) for each sampling point to apply the Flume to determine the Velocity for both Rivers at slopes of 0.008 to 0.056 respectively. The velocities obtained at the different slopes were inserted into Manning’s Coefficient equation to obtain the flow characteristics. The relationship between the velocity and Manning’s Coefficient was determined using the Spearman’s rank correlation coefficient. All analyses were done at P-value less than 0.05 level of significance. The velocity varied between 0.0237± 0.0004 and 0.0587± 0.0004 m/s; 0.0542± 0.0004 and 0.0701± 0.0003m/s and 0.0789± 0.0005 and 0.0172± 0.1323m/s for GPA, OOA and Fiwasaye for Ala River and between 0.0751± 0.0007 and 0.1008± 0.0006m/s; 0.0628± 0.0007 and 0.0839± 0.0004m/s and 0.0421± 0.0005 and 0.1076± 0.0004m/s for AOA, Rore and Omu-Aran for Orisa River. The results of the effects of soil boundary influence showed that the velocity was inversely proportional with the Mannings’ coefficient at all sampling points of both rivers if the geometry of the river channel is kept constant. This indicates that areas with high velocities are prone to flooding. Further studies should be carried out on more sampling points on the rivers to confirm flow characteristics of the rivers.

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Section: Velocity Of Flow Through the Soil Samples Collected At The Different Locationssupporting

confidence: 91%

Boundary Influence and Flow Characteristics of Orisa and Ala Rivers in Kwara and Ondo States, Nigeria

Elemile

Folorunso

2021

LAUJOCES

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“…In additional to daily precipitation amount, precipitation intensity is another critical parameter that can influence hillslope processes at subdiurnal scales: for example, infiltration and soil erosion, runoff and sediment yield (Niehoff et al, 2002; Angulo‐Martínez and Beguería, 2009; Polyakov et al, 2010; Sun et al, 2019). However, factors affecting precipitation intensity are very complex (Liu et al, 2011) and may follow different patterns with elevation under various intensities (Allamano et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

Summer precipitation characteristics on the southern Tibetan plateau

Zeng

Zhai

Wang

et al. 2020

Intl Journal of Climatology

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Precipitation is an important source of streamflow and a critical parameter in hydrological studies. However, spatiotemporal variation of precipitation in the Tibetan Plateau (TP) has been poorly characterized due to the limited distribution of meteorological stations mostly in the lowlands. In this study, we setup rain gauges to study summer precipitation on mountain slopes in three catchments of the southern TP from 2013 to 2016. We studied the precipitation gradients (PGs) averaged during the Indian monsoon season (PG ms), as well as daily PGs (PG d) and unit PGs (PG u) under various precipitation intensity grades (PIGs) and subdiurnal precipitation distributions. We also analysed the correlations between the PGs and precipitation amounts under various PIGs. Results showed that the mean PG ms , PG d and PG u in the study catchments were 0.0071-0.0082% for monsoon season, 0.11-0.13 mmÁ100 m −1 d −1 and 2.2-3.1%Á100 m −1 for the total (nonintensity-graded) precipitation, but varied widely under different PIGs. PG ms , PG d and PG u were all strongly correlated to precipitation amounts, which were relatively consistent between years but varied between different catchments. In addition, the correlations showed a steep positive slope under fine precipitation but became flat or even negative with increasing PIG. Generally, two distinct precipitation peaks were noted in each of the three catchments: a dispersed peak in the morning, and a stronger but sharper peak at around 18:00 LST; overall, this subdiurnal pattern was temporally stable. The mean precipitation durations of the three catchments were approximately 1.0-1.4 hr (nonintensity-graded) and increased from <0.5 hr, to <1 hr, 2-5 hr and 6-11 hr for trace, light, moderate and heavy precipitation intensities, respectively. Among the various PG units, both PG d and PG u better represented precipitation at different altitudes than that of PG ms. Summer precipitation in the study catchments was influenced more by valley-scale convection than by large-scale monsoon circulation.

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“…(2) Vegetation Short-time heavy rainfall is the main form of rainfall increase in the Yuanmou dry-hot valley area [62], and sediments are transported and accumulated by rainwater in a short time [63,64]. Vegetation can effectively trap rainfall, slow down surface runoff [65,66] and increase soil erosion resistance, thereby inhibiting gully development and improving gully stability.…”

Section: The Influence Of Environmental Conditions On Gully Developmentmentioning

confidence: 99%

A Multi-Criteria Framework for Identification of Gully Developmental Stages Based on UAV Data—A Case Study in Yuanmou County, Yunnan Province, SW China

Lin

Bai

Luo

et al. 2022

IJERPH

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Gully erosion is a common form of soil erosion in dry-hot valleys, and it often brings serious land degradation. A multi-criteria method integrating the characteristics of the longitudinal profile (LP), the cross profile (CP) and the knickpoints of gullies was applied to identify the development stage of gullies in Yuanmou County, Yunnan Province, in southwestern China. Firstly, based on the high-resolution data sources produced by an unmanned aerial vehicle (UAV), 50 gullies were selected as the typical ones in Tutujiliangzi and Shadi village. The LPs were extracted, and their morphological indices, information entropy and fitting functions were calculated. The morphological characteristics of the CPs and the presence or absence of knickpoints were recorded. The results show that the period of the gullies in Tutujiliangzi and Shadi is dominated by the deep incision period and the equilibrium adjustment period, which means that most gullies are in the period of the severe erosion stage. Among the gullies, 13 LPs’ morphological index is between 0.636 and 0.933, and the morphology of the LP presents an upward convex shape; the cross profiles are mainly V-shaped and U-shaped. Thirty-two LPs’ morphological index is between 1.005~2.384, which presents a slightly concave shape; the cross profiles are mainly repeated U-shapes. The remaining five LPs have a morphological index of 0.592, 0.462, 1.061, 1.344 and 0.888, respectively; the LPs of upstream and downstream are different. The LPs of the Tutujiliangzi gullies are nearly straight lines and slightly concave, while those of the Shadi village gullies are convex and nearly straight lines. The knickpoints and step-pools in Shadi village are more developed, while the gullies in Tutujiliangzi develop more rapidly. This study shows that in counties with similar conditions, these conditions such as temperature and precipitation, local topographic changes, soil properties and vegetation conditions have obvious effects on the development of gullies.

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Sediment load change with erosion processes under simulated rainfall events

Cited by 13 publications

References 70 publications

Boundary Influence and Flow Characteristics of Orisa and Ala Rivers in Kwara and Ondo States, Nigeria

Boundary Influence and Flow Characteristics of Orisa and Ala Rivers in Kwara and Ondo States, Nigeria

Summer precipitation characteristics on the southern Tibetan plateau

A Multi-Criteria Framework for Identification of Gully Developmental Stages Based on UAV Data—A Case Study in Yuanmou County, Yunnan Province, SW China

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