The impact of vegetation on the bank erosion (Case study: The Haraz River)

Gholami, Vahid; Khaleghi, Mohamad Reza

doi:10.17221/13/2012-swr

Cited by 35 publications

(13 citation statements)

References 27 publications

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“…This may be related to the revegetation of different parts of forest road at the time of construction (Baharuddin et al 1995;Cerda 2007). Vegetation cover is an important factor, playing a key role in sediment absorption, decrease of runoff velocity and volume, and protection of soil against erosion and sedimentation (Casermeiro et al 2004;Foltz et al 2009;Gholami, Khaleghi 2013). Our results showed the negative relationship between sediment and vegetation cover.…”

Section: Discussionmentioning

confidence: 59%

Modelling of forest road sediment in the northern forest of Iran (Lomir Watershed)

2014

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Forest roads are the most important ways of access; nevertheless, they are the main source of sediment production. The delivered sediment by forest roads causes environmental problems and pollution of water resources. This study has been done to present a model for estimating the sediment yield of forest road using a multiple regression analysis on the Caspian southern coasts (north of Iran, Lomir watershed). For this purpose, 45 wood dams were created and their sediment volume (dependent variable) was measured. The following independent variables were estimated: road length, road width, road slope, vegetation cover, height of cut slope and road age. Then, a regression analysis was done using SPSS software to present a linear model. In the next step, the accuracy and capability of the presented model were considered and validated using the model for estimating the wood dam sediment. The results showed that road length and road width have significant effects in sediment generation. Also, the presented model can estimate the forest road sediment in northern Iran.

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Section: Discussionmentioning

confidence: 59%

Modelling of forest road sediment in the northern forest of Iran (Lomir Watershed)

2014

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“…Due to spatial differences on a large scale, it is difficult to obtain better correlations between desertification and these factors using a linear regression model [38,39]. Recently, geographically weighted regression (GWR), which can be used to model spatial variations in the relationships between dependent and independent variables, has attracted increasing research attention [40,41]. Thus, GWR was introduced to analyze the correlation between desertification and the aforementioned factors in this study [42,43].…”

Section: Driving Factor Analysismentioning

confidence: 99%

Monitoring the trends of water-erosion desertification on the Yunnan-Guizhou Plateau, China from 1989 to 2016 using time-series Landsat images

2020

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The Yunnan-Guizhou Plateau (YGP) is a typical ecologically fragile region in southwest China. Water-erosion desertification (WED) is one of the most significant environmental and socioeconomic issues on the YGP and has seriously restricted the socioeconomic development of this region. However, the research on monitoring of the desertification trends in this region has been limited to long time-series Landsat imagery. The objectives of this research were to monitor the WED trends on the YGP using time-series Landsat imagery data from 1989 to 2016. In this paper, we present a multi-indicator rule-based method, which was used to map the WED on the YGP during this period. The results show that the addition of multiple indicators improved the WED classification accuracy to 90.61%. Overall, the following results were obtained by using the proposed method. (1) The slight desertification area on the YGP increased from 89,617.09 km 2 in 1989 to 100,976.47 km 2 in 2016 with an annual growth ratio (AGR) of 0.48%, the moderate desertification area increased from 80,276.65 km 2 in 1989 to 90,768.39 km 2 in 2016 with an AGR of 0.50%, and the severe desertification area increased from 8149.3 km 2 in 1989 to 13,220.16 km 2 in 2016 with an AGR of 2.39%. (2) The WED expansion on the YGP can be divided into three stages. Firstly, the total WED area increased slowly from 17.80×10 4 km 2 in 1989 to 17.98×10 4 km 2 in 2010 with an AGR of 0.05%. Then, the WED rapidly expanded from 17.98×10 4 km 2 in 2010 to 20.28×10 4 km 2 in 2013 with an AGR of 4.26%. Finally, the WED increased slightly from 20.28×10 4 km 2 in 2013 to 20.50×10 4 km 2 in 2016 with an AGR of 0.36%. The total areas of the different degrees of WED decreased in 1992, 1998, 2001, and 2004. (3) The driving factors of WED were analyzed based on the Geographically Weighted Regression (GWR) model. We found that precipitation, vegetation area, and gross domestic product have key roles in the processes of desertification reversion and development. However, the regression coefficients between WED and these factors exhibited considerable spatial variations. The regression coefficients of the key driving factors showed different spatial distributions

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“…Recently more influential factors are included in numerical models for better predictions. Xiao et al [44] and Gholami and Khaleghi [11] studied bank erosion affected by instream vegetation. Rinaldi et al [30] included groundwater effect.…”

Section: Introductionmentioning

confidence: 99%

Modeling River Morphodynamic Process Using a Depth-Averaged Computational Model and an Application to a Mountain River

Jia¹,

Zhang²,

Yeh³

et al. 2020

Current Practice in Fluvial Geomorphology - Dynamics and Diversity

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Bank erosion is a dominant river morphodynamic process resulting in encroaching valuable farming land and channel migration. Prediction of bank erosion and channel migration requires understanding of the morphodynamics of the entire river system. Numerical modeling is an ideal method for this task. However, models with full capabilities and applications on complex real-world problems are rare. In this study the finite element-based computational model, CCHE2D, and its flow, sediment transport, and bank erosion modules are introduced. The model is capable of simulating unsteady flows with nonuniform sediment transport and cohesive/non-cohesive material bank erosion. The effects of helical secondary current on sediment transport induced by flow curvatures are reflected in both bed load and suspended sediment formulations. This model is validated using multiple sets of experimental data and applied to bank erosion problems of the Chuoshui River, a real-world mountain river in Taiwan. Characterized by typhoon floods, steep channel slopes, and high sediment load and mobility, this river often exhibits a braided pattern consisting of multiple curved channels. Channel bed change and bank erosion caused by 10 years of typhoon floods in a selected reach have been simulated, and the computed bank erosion results agreed with the field observation.

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The impact of vegetation on the bank erosion (Case study: The Haraz River)

Cited by 35 publications

References 27 publications

Modelling of forest road sediment in the northern forest of Iran (Lomir Watershed)

Modelling of forest road sediment in the northern forest of Iran (Lomir Watershed)

Monitoring the trends of water-erosion desertification on the Yunnan-Guizhou Plateau, China from 1989 to 2016 using time-series Landsat images

Modeling River Morphodynamic Process Using a Depth-Averaged Computational Model and an Application to a Mountain River

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