<p>This study forms part of a broader project co-funded by the Water Research Commission (WRC), and CSIR Parliamentary Grant (PG) and Strategic Research Panel (SRP) research grants, aimed at surveying selected water resources within the 19 Water Management Areas in South Africa. Furthermore, it aims at determining the concentrations of Hg and MeHg in various environmental compartments collected from priority water resources, to identify the potential Hg hotspots, and to assess the degree of compliance with national and international guidelines. Mercury concentrations in the environment have increased globally and this has caused much anxiety in terms of the adverse effects it has on aquatic ecosystems, their organisms, and the communities they sustain. Human health risks associated with the consumption of fish elevated containing Hg concentrations have received minimal attention particularly in South Africa. It is imperative that any potential adverse impacts of Hg on aquatic ecosystems, and the subsequent impacts on human health, be investigated.</p>

<p>The aim of the study was to quantify the extent of inorganic chemical pollution of the Franschhoek River and draw relationships between contaminants in water, sediment and plants. The invasive Acacia mearnsii and Salix babylonica and indigenous Brabejum stellatifolium species were chosen as biomonitors due to their wide spread distribution along the river and their apparent ability to accumulate heavy metals. The sites chosen allowed for comparison of the river quality upstream with that of the river further down stream as it meandered through residential, agricultural and recreational areas, until it joined with the Berg River further downstream. The general aim of the study was to assess the degree of inorganic pollution in the Franschhoek River to evaluate its contribution to pollution of the Berg River, of which it is an important tributary. Also understanding the sources of the pollution would contribute to the ability to reduce pollution.</p>

Semi-analytical models for remote sensing of water quality parameters need to be parameterized with specific inherent optical properties. In this thesis, data on specific inherent optical properties of Swedish lakes and coastal waters is presented. Also, the problems of measuring in situ spectral backscattering are addressed. It is shown how measured specific inherent optical properties are used to parameterize semi-analytical bio-optical models. The models are then used to produce large synthetic data sets based on the distribution of water quality parameters, and from these data sets, band ratio or single band ratio algorithms for remote estimation of water quality parameters are constructed. A similar model was also used to calculate under water PAR from measured water quality parameters. The specific inherent optical properties of Swedish lakes and coastal waters are very similar to earlier reported data from the oceanic environment. However, different relations of the water quality parameters will affect the inherent optical properties absorption and backscattering. The absorption spectra are dominated by yellow substance with terrestrial origin. Phytoplankton absorption is low, and account in general only for about 10 % of the total absorption in regions where phytoplankton pigments are active. The spectral backscattering is dominated by suspended particulate inorganic matter. Phytoplankton backscattering is almost negligible, except in cases where the phytoplankton community is dominated by highly scattering cyanobacteria. Experiences from remote sensing campaigns and modeling shows that remote chlorophyll estimation is most effective at longer wavelengths, where the absorption of yellow substance is low. However, modeling also predicts that large uncertainties have to be expected in the estimation of chlorophyll, both from variation in the specific phytoplankton absorption and from influences of other optically active water quality parameters.

INTRODUCTION: More than 1.8 million diarrheal disease deaths can be attributed to the lack of access to water, sanitation and hygiene. These deaths occur mostly in developing countries where water quality testing resources are limited. Several tests are currently used to detect and quantify E. coli and other fecal coliforms in drinking water, however they can be expensive, complex, and technically demanding. There is a need for a simple, reliable, low-cost water quality test that can be used in resource limited settings. Therefore, the purpose of this research was to perform a rigorous evaluation of the recently developed compartment bag test for detection and quantification of E. coli against the standard method, membrane filtration. METHODS AND RESULTS: A total of 270 water samples were collected from forty-five various naturally contaminated water sources around metro-Atlanta from August 2011 through April 2012 and processed using the compartment bag test and membrane filtration with mI agar. Concentrations of E. coli were significantly correlated with a correlation coefficient of 0.904 (95% CI 0.859 – 0.950). Sensitivity and specificity were 94.9% and 96.6%, respectively. CONCLUSION: These results suggest that the compartment bag test produces results consistent with those produced by membrane filtration on mI agar. Based upon its performance, the compartment bag test has the potential to be used as a reliable, low-cost drinking water quality test globally where water quality testing resources are not readily available, and can be implemented in monitoring activities for microbial water quality.

This study examined the influence of landscape features on stream nutrient concentrations within the Ichawaynochaway Creek watershed in southwestern Georgia. Baseflow concentrations of both dissolved (SRP, NO3, NH4) and total (TN, TP) nutrients were measured at 17 sampling sites monthly for a period of six months (July 2012 to January 2013). A long-term dataset (January 2008 to March 2012) was also analyzed for baseflow/stormflow comparisons of dissolved nutrient concentrations. Relationships among land-use, geology, soils, physiographic features and nutrients were analyzed at both the sub-watershed and riparian corridor scales. SRP concentrations were lower and NO3 concentrations higher than reported in previous studies of the region. Due to dry conditions during the sampling period, nutrient input was likely limited to groundwater contributions and land-use effects were minimal. Trends among water quality variables varied between the upper and lower portions of the watershed, suggesting differences in nutrient transport pathways due to spatial variation.

<p>Diverse ways of knowing have been recognized by scholars in many disciplines to contribute creative perspectives and novel problem-solving approaches. In the environmental sciences, those dependent on natural resources and working daily with those resources are in one of the best positions to observe and learn from subtle changes in the environment. In the coastal marine and estuarine environment, these experiential knowledge holders are the fishers and their families. In North Carolina, these fishers live in historic villages and, with scientists and policymakers, serve as the downstream stakeholders in watershed management. These three stakeholder groups all have perspectives to contribute to research and management of water quality in the watershed. This dissertation starts by documenting definitions and perspectives of water quality from these three stakeholder groups, establishing the base of information from which future research and management takes place. It then specifically addresses the details of negotiating co-production of knowledge through an ethnographic account of a collaborative research project investigating water pollution. The process of information sharing was highlighted during this process by a facilitated workshop asking participants to reflect upon their collective understanding of water quality more broadly and to plan a research project resulting from a new shared, understanding. The third component of my investigation of different ways of knowing uses North Carolina's Fishery Resource Grant program, which funds collaborative research between fishers and scientists, as a case study of an institution supporting co-produced knowledge about water quality and how the structure of collaboration in funded projects affects the success of the program both scientifically and socially. Together, the three chapters tell a story about the diverse forms of knowledge regarding water quality and how they might work together to better understand the causes and effects of water quality as well as tailor solutions to fit this better understanding. Though the story is of one case, specific to water quality and the coastal communities that depend on it, the story is also one of few optimistic cases in environmental science.</p> / Dissertation

<p>Coastal eutrophication is a complex process that is caused largely by anthropogenic nutrient enrichment. Estuaries are particularly susceptible to nutrient impairment, owing to their intimate connection with the contributing watersheds. Estuaries experiencing accelerating eutrophication are subject to a loss of key ecological functions and services. This doctoral dissertation presents the development and implementation of an integrated approach toward assessing the water quality in the Neuse Estuary following the implementation of the total maximum daily load (TMDL) program in the Neuse River basin. In order to accomplish this task, I have developed a series of water quality models and modeling strategies that can be effectively used in assessing nutrient based eutrophication. Two watershed-level nutrient loading models that operate on a different temporal scale are developed and used to quantify nitrogen loading to the Neuse Estuary over time. The models are used to probabilistically assess the success of the adopted mitigation measures in achieving the 30 % load reduction goal stipulated by the TMDL. Additionally, a novel structure learning approach is adopted to develop a Bayesian Network (BN) model that describes chlorophyll dynamics in the Upper Neuse Estuary. The developed BN model is compared to pre-TMDL models to assess any changes in the role that nutrient loading and physical forcings play in modulating chlorophyll levels in that section of the estuary. Finally, a set of empirical models are developed to assess the water quality monitoring program in the estuary, while also exploring the possibility of incorporating remotely sensed satellite data in an effort to augment the existing in-situ monitoring programs.</p> / Dissertation

It is the responsibility of humans, as environmental stewards, to monitor our impact on the environment so that efforts can be made to remediate the effects of our actions and change behaviors. To better understand our environmental footprint, sensitive and simple analytical methods are needed to quantify the contaminants that we discharge into our natural surroundings. Emerging environmental contaminants are of particular concern because there is limited or no information available on their occurrence, fate, and toxicity. As a result, the implications of using these chemicals are not well understood. Therefore, accurate environmental data are needed to help scientists and government policy-makers make informed decisions on research directions and chemical regulation. However, challenges exist for the analysis of emerging contaminants, including a lack of suitable analytical standards and internal standards, their broad range of chemical properties, and that they are frequently present at trace levels and in complex environmental matrices. The work presented within this dissertation focuses on the development, validation, and comparison of analytical methodologies based on large-volume injection high-performance liquid chromatography (HPLC) tandem mass spectrometry (MS/MS) for the analysis of emerging environmental contaminants in aqueous environmental matrices. Large-volume injection (e.g. 900 μL to 4,500 μL) is an analytical technique that eliminates sample preparation associated with pre-concentration by injecting larger-than-traditional volumes of sample directly onto a HPLC column. In Chapter 2, a direct aqueous large-volume injection method was developed and validated for the quantification of natural and synthetic androgenic steroids in wastewater influent, wastewater effluent, and river water. This method was then applied to hourly composite samples of wastewater influent that were taken over the course of a single day. This work expands on the research of the endocrine-disrupting chemicals that occur in wastewater and provides an estimate of the community use/abuse of synthetic androgenic steroids. Environmental analytical methods should be as environmentally friendly as possible and efforts should be made to reduce the waste generated during analysis while maintaining analytical performance. In Chapter 3, a method based on large-volume injection was compared to two methods based on solid-phase extraction. The purpose of this comparison was to demonstrate that the same method performance could be achieved by large-volume injection as that by solid-phase extraction while reducing waste, labor, and costs. Estrogens and perfluorinated chemicals were used as model analytes and wastewater influent was used as a model matrix. The results of this study provide convincing reasons for analysts to adopt large-volume injection as an alternative to solid-phase extraction. In Chapter 4, a novel analytical method was developed and validated to quantify newly-identified and legacy fluorinated chemicals in groundwater. The final method combined micro liquid-liquid extraction, non-aqueous large-volume injection, and orthogonal chromatographic separations. Ground water samples collected from six different U.S. military bases was used to demonstrate the method. This is the first report on the occurrence of these newly-identified fluorinated chemicals in any environmental media and serves as a rational for conducting future research on their environmental fate and toxicity. The breadth of the research presented in this dissertation advances the field of environmental analytical chemistry in several areas. First, classes of environmental contaminants for which there is limited (synthetic androgenic steroids) or no (newly-identified fluorochemicals) environmental data were studied. Second, novel methods based on direct-aqueous and non-aqueous large-volume injection were developed and validated to identify and quantify those contaminants. Third, it was demonstrated that solid-phase extraction is not a "necessary evil" needed to develop methods for emerging environmental contaminants in aqueous matrices. Finally, this work is a platform on which other environmental chemists can use to develop large-volume injection methods in the future. / Graduation date: 2013 / Access restricted to the OSU Community at author's request from Aug. 2, 2012 - Feb. 2, 2013

Treatment efficiency in a constructed wetland is related in part to the amount of time that a wastewater remains in the system. Current design methods idealize the system as a plug flow reactor and use a "residence time" based solely on the volume of the cell and the flow rate. Under this assumption, every element of wastewater entering the wetland cell experiences the same residence time. It is understood that this idealization ignores the existence of longitudinal dispersion, short circuiting and stagnant regions within the wetland cell. The result of these phenomena is a distribution of residence times. In other words, portions of the effluent exit the cell earlier than predicted, resulting in undertreatment, and portions exit late, resulting in excess treatment. The average concentration of treated wastewater at the outlet is a function of this distribution and the reaction kinetics associated with the waste. The overall effect of a distribution of residence times is reflected in a reduction of treatment efficiency at the outlet. Hydraulic regimes of constructed wetland systems were investigated at a pilot project site providing tertiary treatment of a pulp mill wastewater. Two vegetation types, bulrush and cattail, were investigated and compared to nonvegetated and rock-filter cells with identical configurations. Tracer studies used a fluorescent dye and were performed over the course of a year. Dye was input as a pulse at the inlet end of the cell and sampled over time at the outlet end to obtain concentration breakthrough curves. From these curves, time to peak, actual mean detention times, degree of dispersion, and extent of dead space were calculated, as well as predicted treatment efficiency. Results indicated varying degrees of dispersion, short circuiting, and dead space in the individual cells. Analysis of the residence time distributions provided estimates of the "active" volume of the treatment cell and the degree of short circuiting in the system. Effective volume of the planted cells ranged from 15 to 25% of full volume. Early arrivals of the peaks of the distributions, indicative of short circuiting, ranged from 30% to 80% of the theoretical detention times. A first order treatment model and a kinetic coefficient, k, were assumed, and corresponding treatment efficiencies were compared to the theoretical treatment of an ideal plug flow reactor. Reduced treatment efficiencies for the planted systems ranged from 2 to 20 %, by this estimation. Many references attempt to analyze wastewater treatment systems by refering to two models: dispersed plug flow and an approximation of tank-in-series. These models were investigated as potential descriptions of the hydraulic regime present in constructed wetlands. Residence time distributions of the constructed wetlands in this study indicated flow was not exclusively dispersed plug flow. This simplified model does not account for the exchange of material with "dead" space in the wetland cell. The data suggest a combination model of dispersed plug flow with a transient storage zone component may be more appropriate. / Graduation date: 1994

Increased land use intensity has adversely affected aquatic ecosystems within Canada. Activities that occur over the landscape are individually minor but collectively significant when added to other past, present, and reasonably foreseeable future actions, and are defined as cumulative effects. Existing approaches to cumulative effects assessment for river systems within Canada are ineffective. This thesis aims to improve the practice of cumulative effects assessment by evaluating current methodology for linking landscape change and river response over a large spatiotemporal scale. As part of this goal, I offer a framework for better incorporating science into current practices for cumulative effects assessment. The framework addresses the challenges involved in cumulative effects assessment, such as defining appropriate spatial and temporal scale, complex ecological and hydrologic pathways, predictive analysis, and monitoring. I then test the framework over a large spatiotemporal scale using a case study of the lower reaches of the Athabasca River Basin, Alberta. Three objectives are addressed: 1) changes in land use and land cover in the lower ARB for several census dates (1981, 1986, 1991, 1996, 2001) between 1976 (historic) and 2006 (current day) are identified; 2) linkages between landscape change and river water quality and quantity response are evaluated; and 3) results of the different methods used to link landscape stressors with stream responses are compared. Results show that the landscape has changed dramatically between 1976 and 2006, documented by increases in forest harvesting, oil sands developments, and agricultural intensity. Secondly, results suggest that linear regression tests combined with regression trees are useful for capturing the strongest associations between landscape stressors and river response variables. For instance, water abstraction and agricultural activities have a significant impact on solute concentrations. This suggests that water abstraction and agriculture are important indicators to consider when conducting a watershed cumulative effect assessment on a similar spatiotemporal scale. The thesis has strong implications for the need for improved water quality and quantity monitoring of Canada‟s rivers. The research provides a means of identifying appropriate tools for improved watershed cumulative effects assessment for scientists and land managers involved in the environmental impact assessment process and protection of Canada‟s watersheds.