Current site scale stormwater management designs typically include multiple distributed stormwater best management practices (BMPs), necessary to meet regulatory objectives for nutrient removal and groundwater recharge. Selection of the appropriate BMPs for a particular site requires consideration of contributing drainage area characteristics, such as soil type, area, and land cover. Other physical constraints such as karst topography, areas of highly concentrated pollutant runoff, etc. as well as economics, such as installation and operation and maintenance cost must be considered. Due to these multiple competing selection criteria and regulatory requirements, selection of optimal configurations of BMPs by manual iteration using conventional design tools is not tenable, and the resulting sub-optimal solutions are often biased. This dissertation addresses the need for an objective BMP selection optimization tool through definition of an objective function, selection of an optimization algorithm based on defined selection criteria, development of cost functions related to installation cost and operation and maintenance cost, and ultimately creation and evaluation of a new software tool that enables multi-objective user weighted selection of optimal BMP configurations. A software tool is developed using the nutrient and pollutant removal logic found in the Virginia Runoff Reduction Method (VRRM) spreadsheets. The resulting tool is tested by a group of stormwater professionals from the Commonwealth of Virginia for two case studies. Responses from case study participants indicate that use of the tool has a significant impact on the current engineering design process for selection of stormwater BMPs. They further indicate that resulting selection of stormwater BMPs through use of the optimization tool is more objective than conventional methods of design, and allows designers to spend more time evaluating solutions, rather than attempting to meet regulatory objectives. / Ph. D.

Eutrophic conditions caused Severn Sound to be listed as an Area of Concern in the 1980’s, it was then delisted in 2002 after implementing a number of agricultural Best Management Practices (BMPs). The focus of this research is to evaluate BMP effectiveness on a watershed scale using both monitoring and modelling. The monitoring data clearly shows that the BMPs significantly reduced the sediment loadings. It also showed that BMPs affect only the intercept and not the slope of the sediment rating curves meaning that BMPs reduce sediment loadings in a linear fashion and at a constant percentage for all sizes of storms. The literature review and associated BMP reduction factors used to model the applied BMPs clearly show that observed and predicted reductions in sediment were experienced and that the model is validated for use on a watershed scale for BMP implementation. The results from this research will further the understanding of how sediment transport curves are affected by Best Management Practices. / Chapter 1 defines the problem and scope of the research study to be examined in this thesis. The literature review presents the current state of knowledge related to the effectiveness of BMPs, sampling techniques, and the use of sediment transport curves, and watershed modelling as a tool to evaluate the use of BMPs. Chapter 3 explains the goals and objectives as well as the study area for this research. Outlined in Chapter 4 are the standard methods used for water quality monitoring and setting-up and calibrating a watershed model. Research results are presented in Chapter 5 and include measured streamflow and water quality results for the respective rivers along with results from watershed modelling. The results section also reflects on the implications for BMP effectiveness and areas of future research. Chapter 6 concludes with a summary of the new information gained from this research and the success of Severn Sound in leading the way in improved use of BMPs for a healthier watershed. / Severn Sound Environmental Association, Greenland International Consulting Ltd., University of Guelph School of Engineering

Sediment is a prevalent non-point source pollutant associated with forest operations. Roads and skid trail surfaces have erosion rates that are greater than the harvest area. Forestry best management practices (BMPs) have been developed to minimize erosion on skid trails, but few projects have compared the effectiveness of different BMPs for bladed skid trails in the mountains. This project evaluated soil erosion rates from bladed skid trails in the Ridge and Valley physiographic region of Virginia following an operational timber harvest. Skid trails were assigned into six blocks where each block had similar slopes and soils. All BMP treatments had waterbars, which are considered the minimum acceptable BMP closure treatment. Each block contained four different skid trail closure BMP treatments (waterbar only (Control), slash-covered (Slash), seeded (Seed), and seeded with fertilizer and mulch (Mulch)). The 24 treatment units were isolated with waterbars and installed following the Virginia Department of Forestry (VDOF) BMP guidelines. The randomized complete block design had three slope class ranges: gentle (0%-10%), moderate (11%-20%), and steep (21%-30%). Stormwater runoff from skid trails was directed at downslope waterbars and eroded material was trapped in silt fences at each treatment area. Depth and area of eroded soil collected in silt fences was measured monthly to quantify total erosion volume for the skid trail area and converted to a per acre basis. Volumes were converted to mass using soil bulk density within the trapped sediment. Control treatments had an average erosion rate of 6.8 tons ac-1 yr-1, with rates up to 73.5 tons ac-1 yr-1 following installation and during extreme rainfall events. Seed treatments recorded an average erosion rate of 2.6 tons ac-1 yr-1, with rates reaching 27.2 tons ac-1 yr-1. Adding grass seed provided ground cover, but not consistently over time. Due to high rates of ground cover, the Mulch treatments averaged 0.5 tons ac-1 yr-1 with an extreme of 3.8 tons ac-1 yr-1. Slash treatments were found to reduce erosion rates to an average of 0.4 tons ac-1 yr-1, with the highest rate being 1.8 tons ac-1 yr-1. Site characteristics on experimental units were collected quarterly in order to model erosion rates with commonly used erosion models for forestland (USLE-Forest, RUSLE2, WEPP:Road). Direct erosion estimates were compared to erosion model predictions produced by USLE-Forest, RUSLE2, and WEPP:Road in order to partially confirm the relationship between sediment trap data and the models. Using multiple analyses it was determined that USLE-Forest and RUSLE2 predicted mean values that are more similar to the actual measured rates, RUSLE2 and WEPP:Road have better linear relationships to the measured rates than does USLE-Forest, and USLE-Forest was the most statistically similar to the measured data using a nonparametric Steel-Dwass Multiple Comparisons Test. All models performed inadequately when attempting to predict Control or Slash treatments; while all models performed the best at predicting Mulch treatments. / Master of Science

The Virginia Runoff Reduction Method (RRM) was adopted in 2014 as a compliance tool for evaluation of stormwater volume and quality, and necessitates use of urban stormwater best management practices (BMPs) to meet regulatory standards. Coastal Virginia is characterized by flat terrain, shallow water tables, and low permeable soils that may limit the application of BMPs as recommended by state regulations. Soil morphological features are often used to estimate the seasonal high water table (SHWT) for initial feasibility, but existing soil data misrepresented expected SHWT depths in the Virginia Beach, VA, study area. A GIS-based methodology relying on perennial surface water elevations and USGS groundwater monitoring data was developed to estimate the SHWT depth in Virginia Beach. The SHWT map was shown to be consistently more reliable than available predictions based on soil morphology, and was used as input to a BMP siting tool. The tool, known as BMP Checker, was developed to explore how flat terrain, shallow water tables, and poor soils influence BMP siting in coastal Virginia. The BMP Checker algorithm was validated on 11 Virginia Beach sites before application on 10,000 ft2 (929 m2) area sections across the city. Citywide application showed that the most widely applicable BMPs in the study area include wet ponds that intercept groundwater and constructed wetlands. Conversely, sheet flow to conservation area and infiltration practices are the least applicable. Because the RRM assigns more credit to infiltration-based practices, sites in Virginia Beach may find it difficult to meet regulatory standards. / Master of Science

Sediment is one of the leading non-point source pollutants in the U.S and has detrimental effects on biological communities such as aquatic communities; human use such as recreation; and natural processes such as flood water storage. For silvicultural operations, the majority of sediment is produced from erosion on highly disturbed areas, such as skid trails, haul roads, and log landings. Erosion from silvicultural activities not only has the potential to introduce sediment into waterways but can also decrease site productivity through the removal of topsoil. In order to minimize erosion from silvicultural operations, forestry Best Management Practices (BMPs) have been developed, but efficacies of various BMP options are not well documented. This study evaluated five closure and cover BMPs for the control of erosion on bladed skid trails through both field based measurements with sediment traps and soil erosion modeling. The erosion models used were the Universal Soil Loss Equation for Forestry (USLE – Forest), the Revised Universal Soil Loss Equation version 2 (RUSLE2), and the Water Erosion Prediction Project for Forest Roads (WEPP – Forest Roads). Erosion model predictions were also regressed against field based results to determine accuracy. The bladed skid trail BMP treatments evaluated were: 1) water bar only (Control); 2) water bar and grass seed (Seed); 3) water bar, grass seed, and straw mulch (Mulch); 4) water bar and piled hardwood slash (Hardwood Slash); and 5) water bar and piled pine slash (Pine Slash). Field based results show that the Control treatment was the most erosive (137.7 tonnes/ha/yr), followed by the Seed treatment (31.5 tonnes/ha/yr), Hardwood Slash treatment (8.9 tonnes/ha/yr), Pine Slash treatment (5.9 tonnes/ha/yr), and finally the Mulch treatment was the most effective erosion control technique (3.0 tonnes/ha/yr). Model accuracy results show that RUSLE2 performed the best overall. Both USLE – Forest and WEPP – Forest Roads under predicted values on the Control treatment, where erosion rates were very high. WEPP – Forest Roads under predicted these values the most. All models generally show that the Control was the most erosive followed by the Seed, Hardwood Slash, Pine Slash, and Mulch treatments. / Master of Science

Water quality practices can have a financial impact on the cost of harvesting timber in Virginia. Two hundred seventy-two timber harvesters were surveyed to determine the estimated cost for implementing best management practices (BMPs) on harvested sites. BMPs analyzed in this study are pre-harvest planning, road construction, broad base dips, water turn-outs, water bars, streamside management zones, stream crossings, and site stabilization. Loggers provided an estimate of the cost or expense for constructing each BMP. They gave an indication of how costly these practices were to implement. The responses for each BMP were then stratified by region to determine if there were regional differences in the unit costs. With the exception of haul road construction costs, the data showed no regional differences in the unit BMP costs across Virginia. Forty-six harvested sites in Virginia were visited to determine the number of BMPs constructed for the harvesting operations. The total cost of following BMP guidelines was calculated using the state median cost, regional road construction costs, and number of practices installed on the site for each tract. The BMP cost per acre was reported by region. / Master of Science

In 2011, the Deep River Portage-Burns Waterway Watershed was identified as a priority in the Northwest Indiana watershed management framework by the Northwester Indiana Regional Planning Committee. 319 grant cost-share programs were initiated in effort of maintaining and restoring the health of Deep River Portage-Burns Waterway Watershed. A watershed management plans have been developed for this watershed which proposed the implementation of vegetated filter strips (VFS) as an option. In this thesis work, the effectiveness of VFS as a best management practice (BMP) for the Deep River system was evaluated using a hydrological model scheme. <div><br></div><div>In this research, a Nonpoint Source Pollution and Erosion Comparison Tool (NSPECT) model and a Soil Water Assessment Tool (SWAT) model were constructed with required watershed characteristic data and climate data. The initial hydrologic and nutrient parameters of the SWAT model were further calibrated using SWAT Calibration and Uncertainty Programs (SWAT_CUP) with historical flow and nutrient data in a two-stage calibration process. The calibrated parameters were validated to accurately simulate the field condition and preserved in SWAT model for effectiveness analysis of BMP implementations. </div><div><br></div><div>To evaluate the effectiveness of VFS as a BMP, four different scenarios of VFS implementations along the Turkey Creek was simulated with the calibrated SWAT model. With the implementation of VFS in the tributary subbasin of Turkey Creek, the annual total phosphorus (TP) of the VFS implemented subbasin was reduced by 1.60% to 78.95% and the annual TP of downstream subbasins were reduced by 0.09% to 55.42%. Daily percentage of TP reductions ranged from 0% to 90.3% on the VFS implemented subbasin. Annual TP reductions of the four scenarios ranged from 28.11 kg to 465.01 kg.<br></div>

Master of Landscape Architecture / Department of Landscape Architecture/Regional and Community Planning / Lee R. Skabelund / Stormwater management is typically approached from different perspectives by practicing professionals. As such, stormwater planning/design is not always completed as a multi-disciplinary coalition of experts using holistic and synergistic methods. For a number of years, engineers and design professionals, particularly landscape architects, have been employing various strategies and techniques to address on-site stormwater management in terms of water quality and quantity. There is increasing awareness that in order to create solutions that are effective over both the short and long-term a landscape architect’s approach needs to account for the health, safety and welfare perspectives carried by engineers, the unique aspects of particular project sites, their surroundings and bio-regional context, as well as the perceptions of clients, other key stakeholders, and the broader public. This research investigates the various criteria integral to developing an analytic framework for ecologically-appropriate stormwater planning/design (Sustainable Stormwater Evaluation and Site Assessment or SSWESA). SSWESA is proposed as a type of decision-tree for site analysis of sustainable systems pertaining to stormwater. Using the SSWESA process is expected to help researchers and professionals make better planning and design decisions as they select and implement appropriate best management practices (BMPs) for a given site and context. My intent in developing SSWESA is to help designers assess existing and potential stormwater functions at the site scale in order to promote sustainable planning and design based upon the important principle: “First, do no harm”. It is also my intent to promote further research related to sustainability by providing references and sources from experts in the various fields related to ecologically-based stormwater management. A review of the literature related to ecological factors relevant to low impact stormwater management assisted in the development and refinement of the criteria for stormwater assessment and evaluation. In this report, the SSWESA framework is tested on a public school property in Manhattan, Kansas to demonstrate how the framework is applied and to understand the questions and issues that arise from its use.

<p>Land use change is a major cause of degradation to freshwater ecosystems. Excess nutrients and toxins, physical infrastructure, and habitat removal can lead to deleterious impacts on water quality, flooding, and biological integrity. The overarching inquiry of this dissertation was to assess how social and ecological dimensions of stormwater interact to influence stormwater and its management. A three-part study was conducted to investigate the ecological and social dynamics of aquatic ecosystems. In part one, I investigated the impacts of urbanization on stream metabolism— a fundamental ecological process. The proliferation of inexpensive water quality sensors has allowed researchers to investigate stream functional processes at a high temporal resolution. I used high-resolution dissolved oxygen data to estimate gross primary production (GPP) and ecosystem respiration (ER) across 12 urban creeks in Charlotte, North Carolina, USA. I used descriptive statistics and regression models to investigate the influence of light, temperature, and hydrological disturbances on GPP and ER. The results demonstrate that urbanization shifts metabolic regimes towards highly productive summers with substantial declines in GPP following summer storm events. My research shows that ER is associated with water temperature and is resistant to hydrological disturbances. These findings have management implications because as summer heat and storms intensify with climate change, my work suggests that stream organisms will become more vulnerable to scour and hypoxia.</p><p> </p><p>In part two, I conducted a systematic literature review to identify salient social norms impacting water quality best management practice (BMP) adoption across urban and rural lands. Furthermore, I synthesized situational factors that mobilize and reproduce social norms associated with BMP adoption. The results demonstrate that social norms create expectations for conventional farming practices and manicured residential lawns, as well as a social responsibility for neighborly cohesion and environmental stewardship. Social norms supporting water quality BMPs were fostered during times of management uncertainty and in response to social sanctions and benefits. I found that social norms supporting water quality BMPs were more readily mobilized when supported by key community leaders, knowledge brokers, and institutional actors.</p><p> </p><p>In part three, I examined if and how an individual’s race, gender, and education level shape one’s concern about and willingness to participate in stormwater management. Stormwater risks can be immediate burdens and at times life-threatening for marginalized people because environmental injustices based on race, gender, and class can dictate exposure to and recovery from environmental risks like flooding and water pollution. Although marginalized groups bear the brunt of environmental risks, they are not likely to be perceived by others as highly concerned about the environment. I investigated differences, if any, in peoples’ willingness to participate in stormwater management based on their race, gender, and educational level by analyzing community opinion surveys in Charlotte, North Carolina. Results suggest that socially marginalized individuals are more concerned about creek flooding than others and subsequently more likely to participate in conservation behaviors. This analysis calls attention to how adverse environmental conditions may shape the perspectives of those experiencing them and facilitate a greater willingness to engage in conservation practices. Collectively, this dissertation highlights the interconnectedness of human and ecological drivers of function and resilience in aquatic freshwater ecosystems with implications for future directions of freshwater management that prioritize social equity and sustain social infrastructures.</p>

This study evaluates the spatial and temporal impacts of implemented Best Management Practices (BMP) on stream water quality under baseflow conditions in a stream segment affected by livestock production. The BMPs includes 10-m fenced riparian zone and crossing paths along the reach segment. Grab water samples and water quality monitoring were collected biweekly from July 2019 to March 2022. Water quality parameters included temperature, dissolved oxygen, electric conductance, total dissolved solids, turbidity, and pH. Water samples were lab analyzed for sediments and nutrients. Results evidenced poor water quality before BMPs implementation, with nutrient concentrations exceeding the nation's and state's criteria. Two years after implementation, BMPs favored seasonal and spatial reductions in nutrient, sediment concentrations, and improved water quality parameters. Present results and subsequent stream monitoring should create awareness in private owners to extend the implementation of a riparian zone and other BMPs that improves stream water quality and health.