Excess sediment in streams is harmful to the environment, economy, and human health. Streambanks account for an estimated 7-92% of sediment and 6-93% of total-phosphorus loads to streams depending on the watershed. Stream stabilization through stream restoration has become a common practice to satisfy the 2010 Chesapeake Bay total maximum daily load (TMDL) due its value in credits received per dollar spent. Bank erosion is most commonly credited through the Bank Assessment for Non-point source Consequences of Sediment (BANCS) framework, an empirically-derived model that predicts bankfull bank erosion rates using Bank Erodibility Hazard Index (BEHI), an indicator of bank stability, and Near-Bank Stress (NBS), an indicator of applied flow energy at bankfull discharge. This study assessed the BANCS framework in the Valley and Ridge physiographic province where it has not previously been applied. The spatial and temporal variability of erosion data was assessed to determine the impact of different erosion measurement schemes on bank erosion estimates and BANCS curves, and alternate NBS methods that capture flow energy beyond bankfull were applied. Three years of monthly erosion data on 64 streambanks were used to assess the spatial and temporal variability of erosion measurements and subsequently develop the erosion curves. Predicted erosion rates were then compared to measured erosion rates on three banks in the Valley and Ridge of Southwest Virginia. Analysis of spatial variability suggests bank retreat measurements should be made every three channel widths to reliably quantify reach-scale load estimates. Furthermore, a minimum monitoring period of 12 months is recommended to ensure seasonal patterns in bank retreat are captured. These results also bring into question the efficacy of the BANCS model as a crediting tool, as the developed statistical relationships between erosion rates, BEHI, and multiple NBS methods were not statistically significant. The limited number of significant curves had low r2 values (r2 < 0.1) indicating measures of NBS and BEHI do not adequately explain the natural variability of bank retreat in the Valley and Ridge of Southwest Virginia. / Master of Science / While sediment naturally occurs in streams, too much sediment in these systems is harmful to the environment, economy, and human health. Streambanks contribute an estimated 7-92% of sediment pollution into streams. Stabilizing streambanks with stream restoration has become a common practice to reduce sediment for the 2010 Chesapeake Bay pollutant diet. The sediment reduction of bank stabilization is most commonly estimated with the Bank Assessment for Non-point source Consequences of Sediment (BANCS) framework, a model that predicts bank erosion rates using Bank Erodibility Hazard Index (BEHI), an indicator of bank stability, and Near-Bank Stress (NBS), an indicator of flow energy when the stream channel is full of water. This study assessed the BANCS framework in the Southwest (SW) Virginia where it has not previously been applied. In this process, the variability of the erosion data in space and time was assessed to determine the impact of different erosion measurement methodologies on bank erosion estimates and BANCS equations. Additionally, alternate NBS methods that represent flow energy below, at, and above the channel being full were tested. Three years of erosion data on 64 streambanks were used to assess the variability of erosion measurements in space and time and create new BANCS erosion equations. Predicted erosion rates using the new erosion equations were then compared to measured erosion rates on three banks in the area. Analysis of variability in space suggests bank retreat measurements should be made every three channel widths to reliably estimate erosion volume along a length of stream. Furthermore, a minimum measuring period of 12 months is recommended to ensure seasonal differences in bank retreat are captured. The results also bring into question the effectiveness of the BANCS model as a tool to estimate sediment reduction for the Chesapeake Bay pollutant diet, as the developed equations between erosion rates, BEHI, and multiple NBS methods were not significant. The limited number of significant curves had low r2 values (r2 < 0.1) indicating the measures of NBS and BEHI do not explain the natural variability of bank retreat in the study area.

Sediment is a leading cause of water quality impairment throughout the United States. In the Little River watershed in eastern Tennessee, several tributaries have been classified as impaired due primarily to sedimentation. Researchers at The University of Tennessee, in collaboration with a group of local and state organizations, began monitoring Little River tributaries to better understand their sources of pollution. To investigate the rates and processes of streambank erosion, erosion-pin monitoring sites were established on 32 banks in the watershed. This thesis complements the erosion-pin monitoring efforts by determining bank characteristics and examining the relationships of streambank angles and shapes to observed erosion rates. The specific objectives of this study were to: (1) characterize streambank angles, (2) describe the relationships between streambank angles and bank erosion rates, (3) characterize bank shape, and (4) determine if bank shapes at erosion-pin monitoring sites are representative of their immediate stream reaches. Streambank angles were measured at erosion pins. Bank angles averaged approximately 55° and varied significantly between tributaries and individual monitoring sites. Bank angle measurements were compared to erosion-pin exposure using correlation analysis. Data were then sorted into subgroups by pin position, soil texture, and bank shape, and further analyses were conducted. Results indicated streambank erosion was significantly, positively associated with bank angle for angles ≥ 30°. Significant, positive relationships were also found low on banks, where soil texture was clay, and where banks were classified as undercut. Bank profiles were documented to classify the bank shapes of erosion-pin monitoring sites and assess how well the banks at those sites represented the immediate reach. In the Little River watershed, bank profile shapes vary, but nearly three-fourths of all documented bank profiles were steeply sloping or undercut. The majority of monitoring sites (78%) were representative of the immediate stream reach with regard to bank shape. However, other factors, including surrounding land use and soil type, may differ within the immediate reach. Thus, data extrapolation from erosion pins to the reach scale should be done cautiously and take into consideration variability of individual site characteristics.

Sediment is a leading cause of water quality impairment throughout the United States. In the Little River watershed in eastern Tennessee, several tributaries have been classified as impaired due primarily to sedimentation. Researchers at The University of Tennessee, in collaboration with a group of local and state organizations, began monitoring Little River tributaries to better understand their sources of pollution. To investigate the rates and processes of streambank erosion, erosion-pin monitoring sites were established on 32 banks in the watershed. This thesis complements the erosion-pin monitoring efforts by determining bank characteristics and examining the relationships of streambank angles and shapes to observed erosion rates. The specific objectives of this study were to: (1) characterize streambank angles, (2) describe the relationships between streambank angles and bank erosion rates, (3) characterize bank shape, and (4) determine if bank shapes at erosion-pin monitoring sites are representative of their immediate stream reaches. Streambank angles were measured at erosion pins. Bank angles averaged approximately 55° and varied significantly between tributaries and individual monitoring sites. Bank angle measurements were compared to erosion-pin exposure using correlation analysis. Data were then sorted into subgroups by pin position, soil texture, and bank shape, and further analyses were conducted. Results indicated streambank erosion was significantly, positively associated with bank angle for angles ≥ 30°. Significant, positive relationships were also found low on banks, where soil texture was clay, and where banks were classified as undercut.Bank profiles were documented to classify the bank shapes of erosion-pin monitoring sites and assess how well the banks at those sites represented the immediate reach. In the Little River watershed, bank profile shapes vary, but nearly three-fourths of all documented bank profiles were steeply sloping or undercut. The majority of monitoring sites (78%) were representative of the immediate stream reach with regard to bank shape. However, other factors, including surrounding land use and soil type, may differ within the immediate reach. Thus, data extrapolation from erosion pins to the reach scale should be done cautiously and take into consideration variability of individual site characteristics.

Master of Science / Department of Biological & Agricultural Engineering / Trisha L. Moore / Excess sediment is a leading cause of stream impairment in the United States, resulting in poor water quality, sedimentation of downstream waterbodies, and damage to aquatic ecosystems. Numerous case studies have found that accelerated bank erosion can be the main contributor of sediment in impaired streams. An empirically-derived "Bank Assessment for Non-Point Source Consequences of Sediment" (BANCS) model can be developed for a specific hydrophysiographic region to rapidly estimate sediment yield from streambank erosion, based on both physical and observational measurements of a streambank. This study aims to address model criticisms by (1) evaluating the model’s repeatability and sensitivity and (2) examining the developmental process of a BANCS model by attempting to create an annual streambank erosion rate prediction curve for the Central Great Plains ecoregion. To conduct the repeatability and sensitivity analysis of the BANCS model, ten stream professionals with experience utilizing the model individually evaluated the same six streambanks twice in the summer of 2015. To determine the model’s repeatability, individual streambank evaluations, as well as groups of evaluations based on level of Rosgen course training, were compared utilizing Kendall’s coefficient of concordance and a linear model with a randomized complete block design. Additionally, a one-at-a-time design approach was implemented to test sensitivity of model inputs. Statistical analysis of individual streambank evaluations suggests that the implementation of the BANCS model may not be repeatable. This may be due to highly sensitive model inputs, such as streambank height and near-bank stress method selection, and/or highly uncertain model inputs, such as bank material. Furthermore, it was found that higher level of training may improve model implementation precision. In addition to the repeatability and sensitivity analysis, the BANCS model developmental process was examined through the creation of a provisional streambank erosion rate prediction curve for the Central Great Plains ecoregion. Streambank erosion data was collected sporadically from 2006 to 2016 from eighteen study banks within the sediment-impaired Little Arkansas River watershed of south-central Kansas. Model fit was observed to follow the same trends, but with greater dispersion, when compared to other created models throughout the United States and eastern India. This increase in variability could be due to (1) obtaining streambank erosion data sporadically over a 10-year period with variable streamflows, (2) BEHI/NBS ratings obtained only once in recent years, masking the spatiotemporal variability of streambank erosion, (3) lack of observations, and (4) use of both bank profiles and bank pin measurements to calculate average retreat rates. Based on the results of this study, a detailed model creation procedure was suggested that addresses several model limitations and criticisms. Recommendations provided in the methodology include (1) more accurate measurement of sensitive/uncertain BEHI/NBS parameters, (2) multiple assessments by trained professionals to obtain accurate and precise BEHI/NBS ratings, (3) the use of repeated bank profiles to calculate bank erosion rates, and (4) the development of flow-dependent curves based on annually assessed study banks. Subsequent studies should incorporate these findings to improve upon the suggested methodology and increase the predictive power of future BANCS models.

Thesis (M.S.)--Oregon State University, 2008. / Printout. Includes bibliographical references. Also available on the World Wide Web.

Master of Science / Department of Horticulture and Natural Resources / Charles J. Barden / Sedimentation of Federal reservoirs in Kansas has been identified as a critical issue affecting municipal and industrial water supplies, flood control, recreation, and aquatic life. Eroding streambanks are major sources of sediment. Many streambank stabilization projects have been installed over the past 20 years, but there has been very little follow-up monitoring of the effectiveness of these practices. The project goal is to quantify the environmental benefits of government-sponsored streambank stabilization and restoration projects in northeastern Kansas, with a focus on six sites in which tree ad rock revetments were installed. Several of the sites had stabilized reaches and similar un-stabilized reaches as controls. Macroinvertebrate bioassessments were conducted at two sites, on the Delaware River and Plum Creek on the Kickapoo reservation, to compare eroding and stabilized stream reaches. Biotic Index, Biological Monitoring Working Party (BMWP), Average Score per Taxon (ASPT), and Elmidae – Plecoptera – Trichoptera (EIPT) were calculated to compare the stabilized sites performance for water quality and aquatic habitat. The biological indices showed habitat quality on stabilized reaches compared to control reaches. Alfa diversity Shannon-Wiener and Simpson indices were calculated and improve in habitat quality and macroinvertebrate diversity was shown in stabilized reaches. Two new cedar revetments were established in 2017 on Little Grasshopper and Wolfley creeks. These cedar revetment installations resulted in heavy sediment deposits after high flow events with the revetments retaining 121 and 48 cubic meters, respectively. A novel method of using exposed roots was used successfully to quantify erosion on Axtell-Schmidt Dairy farm creek and Wolfley creek, where we found an average yearly erosion of 3.39 and 10.26 cm respectively. Other sites also showed reduced erosion on stabilized reaches and a development of vegetation cover along the riparian areas near the streams. Cedar revetments are shown to be a cost-effective stabilization method on smaller streams. Also, these practices and evaluation methods are a good opportunity for community and stakeholder involvement because it is possible to train community members in the monitoring practices. It is recommended to continue monitoring these sites to compare them with the designated control in order to document long-term effects.

This research is intended to determine the role of riparian vegetation in stream morphology. This experiment examined the effects of riparian vegetation on boundary shear stress (BSS) by completing the following objectives: (1) evaluating the effects of streambank vegetation on near-bank velocity and turbulence; (2) determining a method for measuring BSS; and, (3) examining the effects of streambank vegetation on BSS using an existing model. A second order prototype stream, with individual reaches dominated by the three vegetation types (trees, shrubs, and grass) was modeled using a fixed-bed Froude-scale modeling technique. One model streambank of the prototype stream was constructed for each vegetation type in addition to one bank with only grain roughness. Velocity profiles were measured using an acoustic Doppler velocimeter (ADV) and a miniature propeller (MP). A flush-mounted Dantec MiniCTA system was used to measure shear stress at the streambank wall. The addition of vegetation on a sloping streambank increased the streamwise free stream velocity and decreased the near-bank streamwise velocity. The turbulence caused by the upright shrub treatment increased turbulent kinetic energy and Reynolds stresses near the streambank toe, an area susceptible to fluvial erosion. The presence of dense, semi-rigid vegetation may encourage the formation of a wider channel with a vertical streambank. The small range of CTA shear stress measurements (0.02—2.14 Pa) suggested that one estimate can describe a streambank. The law of the wall technique is not appropriate because the velocity profiles did not follow the necessary logarithmic shape. Vegetative roughness present in channels created secondary flow; turbulence characteristics more appropriately estimated BSS. The BSS model predicted velocity fields in similar distribution to that measured by the ADV and MP. BSS calculated using the ray-isovel method for both velocity measurement devices were different than the measured BSS values, likely due to distortions in the measured velocity field. In general, the predicted BSS distribution increased with water depth and decreased with increasing vegetation density. The predicted BSS at the shrub toe indicated a spike in shear stress consistent with TKE estimates. / Ph. D.

Thesis (Ph. D.)--University of Missouri-Columbia, 2001. / Typescript. Vita. Includes bibliographical references (leaves 130-137). Also available on the Internet.

Thesis (Ph. D.)--University of Missouri-Columbia, 2001. / Typescript. Vita. Includes bibliographical references (leaves 130-137). Also available on the Internet.

Since the texture of surfaces plays a key role in the shaping of many environmental processes, high resolution measurements are important to study these phenomena. Specifically, 3-D point cloud data is desirable to document river shape and evolution, surface roughness, and erosion-sedimentation processes. The best method of obtaining these measurements is using a terrestrial laser scanner. However, these are too expensive for limited-use experiments. Therefore, I developed a simple, affordable, and robust system used to acquire high resolution data relating to hydraulic and fluvial environments.