Quantitative analysis of factors controlling sediment yield in mountainous watersheds

Shi, Zhihua; Huang, Xudong; Ai, Lei; Fang, Nianqiao; Wu, Gao‐Lin

doi:10.1016/j.geomorph.2014.08.012

Cited by 106 publications

(29 citation statements)

References 45 publications

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“…Fish sampling was conducted at 33 sites, including mainstream and tributaries in October 2007 according to the modified wading method [29]. We also sampled 39 reference streams and determined the stream order after the methodology of Strahler [30] using a map scale of 1:120,000.…”

Section: Study Sites and Sampling Methodsmentioning

confidence: 99%

Lotic Ecosystem Health Assessments Using an Integrated Analytical Approach of Physical Habitat, Chemical Water Quality, and Fish Multi-Metric Health Metrics

Lee¹,

Lee²,

An³

2018

Pol. J. Environ. Stud.

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This study evaluates integrative lotic ecosystem health using neural network modeling and principal component analysis of physical, chemical, and biological parameters in 33 streams and rivers of a large watershed. Water chemistry parameters were measured to detect chemical health, and physical habitat health was determined by a model of qualitative habitat evaluation index (QHEI). Also, biological health was determined by the multi-metric community fish model of index of biological integrity (IBI) and then analyzed trophic compositions and tolerance guilds. In addition, we analyzed fish tissues of liver, kidney, gill, vertebra, and muscle using a sentinel species of Zacco platypus. Chemical pollutions were closely associated with land-use patterns within the watershed and the locations of major point-sources. Model value of QHEI as a measure of physical habitat health averaged 144, indicating good health, and varied from 96 to 190 depending on the sampling sites. The proportion of sensitive fish species in the tolerance guilds had negative correlation with organic matter pollution (r = -0.716, p<0.001) and had positive a relationship with IBI (r = 0.683, p<0.001) and QHEI (r = 0.573, p = 0.001). The proportion of insectivore species, as a trophic composition indicator, was inversely correlated with BOD (r = -0.463, p = 0.007) and positive with IBI (r = 0.679, p<0.001). The analysis of the multi-layer perceptron (MLP) 14-5-1 model, based on the predicted IBI values in the training sites (R 2 = 0.999, MSE = 0.015) and testing sites (R 2 = 0.894, MSE = 27.4) showed high efficiency in the MLP model.

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Section: Study Sites and Sampling Methodsmentioning

confidence: 99%

Lotic Ecosystem Health Assessments Using an Integrated Analytical Approach of Physical Habitat, Chemical Water Quality, and Fish Multi-Metric Health Metrics

Lee¹,

Lee²,

An³

2018

Pol. J. Environ. Stud.

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“…Hydrology in small and large watersheds have been studied with numerous SWAT applications in many regions of the world [8,25]. The dynamics of the initiation of baseflow were studied with SWAT in detail.…”

Section: Swat Model Setupmentioning

confidence: 99%

Influences of Land Use Change on Baseflow in Mountainous Watersheds

Huang

Shi

Fang

et al. 2016

Forests

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Abstract:It is crucial for effective water resource management in a watershed that the relationship between land use changes and baseflow. This study quantifies the influence of land use changes on the baseflow dynamics using a hydrological model and partial least-squares (PLS) regression in the Upper Du Watershed (8961 km 2 ), China. Our study suggests that forest can be a major factor with a negative impact on the baseflow. Additionally, farmland and urban land have second-order negative effects on the baseflow dynamics. Baseflow increases when forest is replaced by farmland because the evapotranspiration (ET), associated with baseflow recession, is weaker and shorter in duration in the farmland than in the forest. The conversion of forest to urban land increases baseflow owing to the presence of non-contributing impervious surfaces in urban areas, which prevents the urban land from intercepting the baseflow discharge. These results indicate that the baseflow dynamics are closely associated with varying land use types within a watershed. Thus, this study is intended to provide a deeper understanding of the baseflow processes and useful quantitative information on land use factors in watersheds, enabling more informed decision-making in forest and watershed management.

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“…It acts as a principal source of eroded sediment and an effective link for transferring overland flow and sediment from hillslopes to channels or rivers (Vandaele et al, 1996;Capra et al, 2009). This results in on-site land degradation and off-site consequences such as sedimentation or nonpoint pollution in surface water bodies (Valentin et al, 2005;Maugnard et al,2014;Shi et al, 2014). Furthermore, ephemeral gullies can accelerate interrill and rill erosions via increasing the local slope gradient after several void-filling cycles Poesen et al, 2003).…”

Section: Introductionmentioning

confidence: 99%

Spatial heterogeneity of soil detachment capacity by overland flow at a hillslope with ephemeral gullies on the Loess Plateau

Zhang

Geng

et al. 2015

Geomorphology

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Quantitative analysis of factors controlling sediment yield in mountainous watersheds

Cited by 106 publications

References 45 publications

Lotic Ecosystem Health Assessments Using an Integrated Analytical Approach of Physical Habitat, Chemical Water Quality, and Fish Multi-Metric Health Metrics

Lotic Ecosystem Health Assessments Using an Integrated Analytical Approach of Physical Habitat, Chemical Water Quality, and Fish Multi-Metric Health Metrics

Influences of Land Use Change on Baseflow in Mountainous Watersheds

Spatial heterogeneity of soil detachment capacity by overland flow at a hillslope with ephemeral gullies on the Loess Plateau

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