Comparison of pond-sedimentation data with a GIS-based USLE model of sediment yield for a small forested urban watershed

Mattheus, C.R.; Norton, M.S.

doi:10.1016/j.ancene.2013.10.003

Cited by 18 publications

(12 citation statements)

References 52 publications

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“…Lots of papers are published regarding the reservoir sedimentation, monitoring, and balancing (Amitrano et al, 2013;Ali et al, 2014), ecology and sustainability (Detering and Schuettrumpf, 2014) comparative analysis and assessment (Hajji et al, 2014;Bennett et al, 2013;Garg & Jothiprakash, 2013;Wisser et al, 2013;Andredaki, et al, 2014;Gopinath et al, 2014), methodology and management (Hosseinjanzadeh et al, 2015;Dewals et al, 2012), reservoirs modeling and silting prism dynamic (Caputo and Carcione, 2013;Mattheus, 2013;Mansikkamäki, 2013), avoiding the effect on the environment and the catastrophic water floods (Ran et al, 2013;Matchavariani et al, 2016), research on the experiment of reservoir water treatment (Zhang et al, 2016), etc.…”

Section: Methodsmentioning

confidence: 99%

Positive aspects of studying the sedimentations in reservoirs through the natural experiments

Matchavariani¹,

Metreveli²,

Lagidze³

et al. 2017

JEB

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Aim: Methodology:Results: Interpretation:The process of the sediment accumulation in reservoirs stops after the silting prism is formed on the body of equilibrium bed, by means of which the river can transport a full range of sediment downstream. Presently, there is no approved method for forecasting the parameters of the silting prism and the equilibrium bed. In order to study the process of the silting prism formation and the equilibrium channel forecasting the field experiments were carried out on small mountain rivers of Georgia.Methodology of the natural experiment implementation was created. For the analysis of the obtained results the methods of mathematical statistics and differential calculus were applied.The experiments showed that equilibrium bed is formed much higher than the initial position of the riverbed causing a serious threat of catastrophic inundation in case of flood. It was found that final result of the reservoir silting is an accumulative terrace, where an equilibrium channel is produced. Length of the train is a function of the maximum flow discharge, the deposit of runoff, diameter of bottom sediment and initial inclination of riverbed. Fractional distribution of the sediments into silting prism is determined by the type of the reservoir regulation and the intraannual distribution of the fluvial sediments.is The mechanism of riverside destruction by water flow is considered as a random process, which depends on both the effect of flow rate and riverside stability. Vulnerability, the characteristic of the riverside is taken as the indicator of this process with respect to such influence, and famous model "load -stability" from the theory of reliability used for its identification.

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Section: Methodsmentioning

confidence: 99%

Positive aspects of studying the sedimentations in reservoirs through the natural experiments

Matchavariani¹,

Metreveli²,

Lagidze³

et al. 2017

JEB

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“…Developed by the USDA, the USLE predicts long-term annual soil loss by combined rill and interrill erosion on agricultural hillslopes (Haan et al, 1994;Merritt et al, 2003;Wischmeier & Smith, 1978). The USLE was intended for agricultural watersheds, but applications have been extended to forests, construction sites and mixed watersheds (Fraser et al, 1995;Mattheus & Norton, 2013;Renard & Foster, 1991). Refinements of the equation due to improving research over the years has resulted in the Modified USLE, MUSLE (Williams, 1982), and the Revised USLE, RUSLE (Renard & Foster, 1991), which make adjustments to the determination of the USLE parameters.…”

Section: Introductionmentioning

confidence: 99%

Urban Erosion Potential Risk Mapping with GIS

Weikmann¹,

Hodges²,

Dymond³

2020

ENRR

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With increased regulatory focus on eroded sediment and its bound pollutants, methods are needed to predict areas with high erosive potential (EP) in urbanized areas. Using EP to prioritize urban areas for maintenance, implementation of Stormwater Control Measures (SCMs), stream restoration or monitoring is crucial. This study utilizes commonly available geospatial layers in conjunction with a computational procedure for prioritizing the contribution of site specific- and transport-erosion to compute relative EP risk throughout a target urban watershed.  Factors that contribute to erosion were evaluated: local cell slope, soil erodibility, land cover, runoff volume, distance and slope to nearest stormwater conveyance point along a surface flow travel path. A case study of the developed methodology was performed on a 1.6 square kilometer urban watershed in Blacksburg, VA, to generate EP risk maps. Results of the study indicate areas of erosive potential within the target watershed and provide a methodology for creating erosion potential risk maps for use by MS4 planners, engineers and other individuals that manage erosion control programs.

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“…Substantial efforts have been made to develop quantitative assessment models of soil erosion, and those developed mainly belong to two categories, either on-site measurements that are often applied in small-scale regional or point experiments or off-site quantification models, which can be used to evaluate the erosion intensity of zones on a large scale (Ganasri & Ramesh, 2016;Tamene, Park, Dikau, & Vlek, 2006; L. F. Xu, Xu, & Meng, 2013). Models developed to date to quantify soil erosion such as the Universal Soil Loss Equation (USLE; Mattheus & Norton, 2015), the Water Erosion Prediction Project (Baigorria & Romero, 2007), the European Soil Erosion Model (Khaleghpanah, Shorafa, Asadi, Gorji, & Davari, 2016), and the Erosion for Agricultural Management System (Vanwalleghem et al, 2017) are considered to be the most scientific approaches for use in studies, although experimental measurements are still considered indispensable and fundamental (Brooks, Dobre, Elliot, Wu, & Boll, 2016;Kinnell, 2017).…”

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confidence: 99%

Dynamic monitoring of soil erosion in the upper Minjiang catchment using an improved soil loss equation based on remote sensing and geographic information system

et al. 2018

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The upper Minjiang catchment has suffered intensive soil erosion due to frequent geologic hazards and its fragile ecosystem zone with steep slopes. This study fully considers the topographic features and surface cover and introduces improved methods of K, LS, and C to establish a soil loss equation for the upper Minjiang catchment based on remote sensing and geographic information system. Spatial–temporal change patterns of soil erosion intensity and its driving mechanisms are then analyzed and discussed. Results show that (a) the soil erosion modulus of the upper Minjiang catchment for 2005 and 2015 were 1,577.29 t km−2 a−1 and 1,619.77 t km−2 a−1, both of which belong to a level of mild erosion. The slight and mild erosion zones covered the largest area and were widely distributed in the northern part of the study area, whereas zones of intensive and severe erosion were mostly concentrated in Wenchuan County and the lower reaches of the Heishui and Zagunao Rivers. (b) During 2005–2015, changes in erosion intensity showed a trend of “overall stability, local deterioration.” Zones of mild, moderate, and intensive increase were mainly concentrated in the Longmen Mountain Fault Zone, such as southern Maoxian and western Wenchuan Counties. (c) Returning cultivated land to forest and grasslands greatly reduced the erosion intensity and erosion amount, whereas geologic hazards aggravated the soil erosion condition. Zones with a slope of <35° had a positive relationship with soil erosion intensity; these areas are crucial control areas for soil preservation and containing soil loss. In addition, grassland is more effective in conserving soil and water than forestland in the upper Minjiang catchment in areas of steep terrain. These results provide an important reference for estimating soil loss intensity in southwest mountainous regions of China, particularly in the Hengduan Mountains, and greatly contribute to the planning of soil and water conservation.

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Comparison of pond-sedimentation data with a GIS-based USLE model of sediment yield for a small forested urban watershed

Cited by 18 publications

References 52 publications

Positive aspects of studying the sedimentations in reservoirs through the natural experiments

Positive aspects of studying the sedimentations in reservoirs through the natural experiments

Urban Erosion Potential Risk Mapping with GIS

Dynamic monitoring of soil erosion in the upper Minjiang catchment using an improved soil loss equation based on remote sensing and geographic information system

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