Bacterial biofilms exist on surfaces within pressurized water systems, posing threats to water quality and causing fouling or microbial induced corrosion. Germicidal UV irradiation has shown promise in deactivating planktonic pathogens in water but challenges in delivering light to surfaces where biofilms exist have limited advancement in understanding biofilm response to UV-C light. This dissertation aims to overcome the limitation of delivering UV-C light through use of side-emitting optical fibers (SEOFs), advance capabilities to produce SEOFs and understand if a minimum UV-C irradiance can prevent biofilm formation. Two scalable manufacturing approaches were developed for producing kilometer lengths of thin (≤500-µm) and physically flexible SEOFs. One strategy involved dip-coating amine-functionalized SiO2 nanoparticles (NPs) on bare optical fiber, followed by a coating of UV-C transparent polymer (CyTop). I showed that NPs closer to the surface achieved with higher ionic strength solutions increased side-scattering of UV-C light. This phenomenon was primarily attributed to the interaction between NPs and evanescent wave energy. The second strategy omitted NPs but utilized a post-treatment to the UV-C transparent polymer that increased surface roughness on the outer fiber surface. This modification maintained the physical flexibility of the fiber while promoting side-emission of UV-C light. The side emission was due to the enhancement of refracted light energy. Both methods were successfully scaled up for potential commercial production. Experimental platforms were created to study biofilm responses to UV light on metal or flexible plastic pipe (1/4” ID) surfaces. Delivering UV-C light via SEOFs with irradiances >8 µW/cm2 inhibited biofilm accumulation. Neither UV-A nor UV-B light inhibited biofilm growth. At very low UV-C irradiance (<3 µW/cm2), biofilms were not inhibited. Functional genomic analysis revealed that biofilms irradiated by insufficient UV-C irradiance upregulated various essential genes related to DNA repair, energy metabolism, quorum sensing, mobility, and EPS synthesis. When net UV-C biofilm inactivation rates exceeded the biofilm growth rate, biofilms were inhibited. Insights gained from this dissertation work shed light on the prospective applications of UV-C technology in addressing biofilm challenges within water infrastructure across multiple sectors, from potable water to healthcare applications.

Water quality assessment is essential for maintaining healthy ecosystems and protecting human health. Data interrogation and exploratory data analysis techniques are used to analyze the spatial and temporal variability of water quality parameters, identifying correlations, and to better understand the factors that impacts microbial and chemical quality of water. The seasonal dynamics of microbiome in surface waters were investigated to identify the factors driving these dynamics. Initial investigation analyzed two decades of regional water quality data from 20 various locations in Central Arizona, USA. Leveraging advanced data science techniques, the study uncovered correlations between crucial parameters, including dissolved organic carbon (DOC), ultraviolet absorbance (UVA), and specific ultraviolet absorbance (SUVA). These findings provide foundational insights into the dynamic of overall water quality. A comprehensive 12-month surface water sample collection and study was conducted to investigate potential bias in bacterial detection using EPA approved Membrane Filtration (MF) technique. The results underscore that while MF excels in recovering bacteria of public health significance, it exhibits biases, particularly against small and spore-forming bacteria and Archaea, such as Bacilli, Mollicutes, Methylacidiphilae, and Parvarchaea. This emphasizes the importance of complementing standard microbiology approaches to mitigate technological biases and enhance the accuracy of microbial water quality testing, especially for emerging pathogens. Furthermore, a complementary study of microbial dynamics within a model drinking water distribution systems (DWDSs) using treated water from the same source water as the above study. The influence of pipe material and water temperature on the microbiome and trace element composition was investigated. The research unveiled a preferential link between pipe material and trace elements, with water temperature significantly impacting the microbiome to a higher degree than the chemical composition of water. Notably, Legionellaceae and Mycobacteriaceae were found to be prevalent in warmer waters, highlighting the substantial influence of water temperature on the microbiome, surpassing that of pipe material. These studies provide comprehensive insights into the spatial and temporal variability of water quality parameters. Analyzing microbial data in depth is crucial in detecting bacterial species within a monitoring program for adjusting operational conditions to reduce the presence of microbial pathogens and enhance the quality of drinking water.

This dissertation focused on studying risks associated with emerging drinking water contaminants and tradeoffs related to water management interventions. The built environment impacts health, as humans on average spend ~90% of their time indoors. Federal regulations generally focus on drinking water at the water treatment plant and within the distribution system as opposed to when it enters buildings after crossing the property line. If drinking water is not properly managed in buildings, it can be a source or amplifier of microbial and chemical contaminants. Unlike regulations for chemical contaminants that are risk-based, for pathogens, regulations are either based on recommended treatment technologies or designated as zero, which is not achievable in practice. Practice-based judgments are typically made at the building level to maintain water quality. This research focuses on two drinking water opportunistic pathogens of public health concern, Legionella pneumophila and Mycobacterium avium complex (MAC). Multiple aspects of drinking water quality in two green buildings were monitored in tandem with water management interventions. Additionally, a quantitative microbial risk assessment framework was used to predict risk-based critical concentrations of MAC for drinking water-related exposures in the indoor environment corresponding to a 1 in 10,000 annual infection target risk benchmark. The overall goal of this work was to inform the development of water management plans and guidelines for buildings that will improve water quality in the built environment and promote better public health. It was determined that a whole building water softening system with ion exchange softening resin and expansion tanks were unexplored reservoirs for the colonization of L. pneumophila. Furthermore, it was observed that typical water management interventions such as flushing and thermal disinfection did not always mitigate water quality issues. Thus, there was a need to implement several atypical interventions such as equipment replacement to improve the building water quality. This work has contributed comprehensive field studies and models that have highlighted the need for additional niches, facility management challenges, and risk tradeoffs for focus in water safety plans. The work also informs additional risk-based water quality policy approaches for reducing drinking water risks.

Megapolitan cities have emerged due to unprecedented urban migration. These changes strain urban resources, especially water distribution and treatment systems. The recent rise of Legionella cases linked to water distribution systems highlights this issue.Bacterial growth and biofilm formation are influenced by factors, such as type and concentration of residual disinfectant, pipe material, water temperature. Experiments were conducted in identical model water distribution systems (WDSs) constructed of three different pipe materials: galvanized steel, copper, and cross-linked polyethylene (PEX) operated under a continuous flow rate of 15 L/min. Each model WDS includes 11 steel coupons screwed to the water distribution pipes. City of Tempe (Arizona) municipal water was used in the experimentation, with no nutrients added. Following biofilm growth, coupons were removed and processed by scrubbing biofilm into phosphate-buffered saline (PBS). Reasoner's 2A (R2A), Trypticase Soy Agar (TSA), Brilliant, and buffered charcoal yeast extract (BCYE) agar media were used to examine biofilm samples for heterotrophic plate counts (HPC), metabolically active bacteria, E coli, and Legionella. Simultaneously, water samples from the reservoirs of model WDSs were also collected and examined for the same bacteria.Next, an electrochlorination cell maintained free chlorine residuals in unheated PEX and copper model WDSs. These two systems maintained free chlorine residuals for one week and evaluated biofilm and bacterial kinetics. Higher water temperature increased biofilm development. Bacterial counts in biofilms were higher on new (fresh) coupons compared to the old coupons. Heterotrophic and metabolically active bacteria behaved similarly. Only control and heating systems in copper water reservoirs have Legionella spp. Biofilms formed less on copper systems than steel and PEX systems. Initially, PEX had more HPC than copper. After electrochlorination, HPC concentration in the PEX system rapidly declined to non-detect, whereas in the copper system dropped to 0.54 log CFU/mL. Thus, higher temperature increases biofilm growth on all pipe materials and reservoirs bacterial concentration. Electrochlorination is a potential biofilm and microbial disinfection method. This thesis topic investigated how these parameters affect the model distribution system bacterial populations and biofilm growth.

Corrosion is known to have severe infrastructure integrity implications in a broad range of industries including water and wastewater treatment and reclamation. In the U.S. alone, the total losses due to corrosion in drinking water and wastewater systems can account for economic losses as high as $80 billion dollars a year. Microbially induced corrosion is a complex phenomenon which involve various phases; 1) formation of biofilms on submerged surfaces, 2) creation of micro-environmental niches associated with biofilm growth, 3) altered availability nutrients, 4) changes in the pH and oxygen concentrations. Biofilms can harbor opportunistic or pathogenic bacteria for a long time increasing the risk of pathogen exposure for the end users. The focus of this thesis research was to study the kinetics of microbially induced corrosion of various materials in water and reclaimed water systems. The specific objective was to assess the biofilms formation potential on stainless steel 304, stainless steel 316, galvanized steel, copper, cPVC, glass, carbon steel, and cast iron in water and reclaimed water systems. Experiments were conducted using bioreactor containers, each bioreactor housed four sampling boxes with eight partitions, dedicated to each material type coupon. One bioreactor was stationed at ASU, and one at Vistancia Aquifer Storage and Recovery (ASR) well; while three bioreactors were stationed at Butler facility, at pre-disinfection, post-UV and post-chlorination. From each location, one submerged sampling box was retrieved after 1, 3, 6 and 12 months. Time series of biofilm samples recovered from various types of coupons from different locations were analyzed using physical and culture-based techniques for quantification of biofilms and detection of heterotrophic plate count (HPC) bacteria, Legionella, Mycobacterium, and sulfate reducing bacteria (SRB). After one-year, galvanized steel had the highest concentration of HPC at 4.27 logs while copper had the lowest concentration of 3.08 logs of HPC. Bacterial growth data collected from the SRB tests was compiled to develop a numerical matrix using growth potential, biofilm formation potential and metal reduction potential of SRB isolates. This risk assessment matrix can be a useful tool for the water industry to evaluate the potential risk of MIC in their systems.

In the recent years, there have been massive technological advancements which have led to increased radical industrialization resulting in a significant impact on the environment. Effluents and by-products of the production processes from industries such as pharmaceutical and personal care products (PPCPs) have increased the concerns of “emerging contaminants” (ECs) in surface waters and drinking water systems. This study focuses on the treatment of emerging chemical contaminants including nitrosodimethylamine (NDMA) and 1,4-dioxane. In addition, the inactivation of microbial contaminants of concern in water including E. coli, Legionella, Mycobacterium and fungal spores were studied using the same treatment technologies. The ECs chosen are not susceptible to conventional treatment process and there still remains a need for alternate processes for their removing/remediating to ensure safe drinking water. The treatment technologies utilized were Advanced Oxidation Processes (AOP) involving UV 220 /254 nm employing an excimer lamp and a low-pressure mercury lamp with ReFLeXTM technology and peracetic acid (PAA). The main objective of this study was to develop a new alternate technology for the enhanced remediation of chemical and microorganisms of concerns in water. The specific research objectives included: 1) To study the efficacy of the UV system to treat the selected contaminants. 2) To study the effect of PAA on the remediation of the contaminants. 3) To explore a new AOP technology under dynamic flow conditions with varying UV and PAA doses. 4) To determine optimized UV and PAA dosages to obtain enhanced remediation of the selected contaminant under dynamic flow conditions to better mimic the real-world applications.

The ongoing COVID pandemic has opened the doors for the development of effective surface disinfection technologies. UV technology is one of the most effective technique to be used in combination with different photocatalytic agents such as Titanium Dioxide (TiO2) for microbial inactivation. There are many bacteria and viruses which have the potential to infect humans via surface-oral/inhalation pathway. Thus, it is important to evaluate the effectiveness of these techniques used to inactivate microorganisms to minimize environmental transmission. UV light directly acts on bacteria and viruses by damaging their nucleic acids and protein structures. TiO2 acts as a photocatalyst, generates hydroxyl radicals under UV, leading to enhanced inactivation efficacy. This study focuses on the impact of UVC light at 254 nm wavelength in combination with spray formulations with TiO2 for the inactivation of E. coli (exposure times of 1, 5 and 10 minutes) and bacteriophages P22 (exposure times of 5 and 10 minutes) and MS2 (exposure times of 1 and 5 minutes). This study includes tests that explored the long-lasting impact of spray formulations on non-porous surface. Minimal inactivation of ~ 0.15 log inactivation of E. coli was resulted using TiO¬2 alone but when UV was added to the procedure on average 3 log inactivation was achieved. It was noted that MS2 was found to be more susceptible to UV as compared to P22 due to its higher inactivation rate. The spray formulation homogeneity is a critical factor in consistent microbial inactivation. In addition, the UV intensity of the handheld device is an important factor for total disinfection. However, the combined spray formulation and UV technology is an effective method of surface disinfection.

Microalgae offer a unique set of promises and perils for environmental management and sustainable production. Algal blooms are becoming a more frequent phenomenon within water infrastructure. As algae blooms are common, water infrastructure across the world has seen mounting problems associated with algal blooms. Some of these problems include biofouling and release of toxins. Since 1997, Arizona’s Central Arizona Project (CAP) has faced escalating problems associated with the algae diatom Cymbella sp. and the green-algae Cladophora glomerata. In this research study, algae are diagramed within the CAP system, the nutrient and abiotic requirements of the diatom Cymbella sp. are determined, and real-time microbial sensors are deployed along the CAP canals for understanding algae blooms and changes in CAP flow conditions. The following research objectives are met: How can water delivery infrastructure improve algae contamination risks in critical water resources? To do this research demonstrates that (i) nuisance algae species within the CAP canals are Cymbella sp. and Cladophora glomerata (ii) that the nuisance “rock-snot” diatom Cymbella sp. is not Cymbella mexicana nor is it Cymbella janischii, but rather a novel Cymbella sp.(iii) that in laboratory settings, Cymbella sp. prefers high Phosphorus and low Nitrogen conditions (iv) that the Cymbella sp. bloom happens in the early summer along the CAP canals (v) that the diatom Cymbella sp. can be removed through chemical treatments (vi) that microbial sensors can measure changes in algae composition along the CAP canals (vii) that microbial sensors, water quality parameters, and weather data can be integrated to measure algae blooms within water systems.

Factors affecting biofilm development, specifically the materials of the pipe, were investigated. Two laboratory scale bioreactor systems were constructed to study biofilm formations: a pipe loop bioreactor with continuous flow at 10.1 liters per minute (LPM), and a tank bioreactor under stagnant conditions with a minimal flow of 0.0095 LPM. The continuous flow bioreactors were constructed using cross-linked polyethylene (PEX), copper, and galvanized steel pipes. The tank bioreactors consisted of glass chambers containing coupons made from the pipe materials, as well as glass microscope slides. Municipality tap water was used in the experimentation, with no nutrients added. Legionella pneumophila was spiked into all the pipe loop bioreactors, and only in one tank bioreactor. Detection of heterotrophic bacteria, coliforms and Legionella using tryptic soy agar (TSA), Brilliance, and buffered yeast charcoal extract (BYCE), respectively. Over ten weeks, biofilms were developed on PEX, copper, and steel, in the pipe loop bioreactors and the tank bioreactors. Heterotrophic bacteria were detected in all systems; however, no coliforms were detected, and Legionella pneumophila was only detected on a coupon in the copper pipe loop bioreactor, as measured by bacterial concentration on test materials. In the tank bioreactors, biofilms developed the most rapidly on PEX, followed by galvanized steel, and finally copper. Out of the four materials, copper had the lowest bacterial growth, which can be ascribed to the bactericidal impact of copper ions on the bacterial cells attaching to the copper surface. After biofilm aging, higher bacterial colonization on copper and accumulation of dead bacterial layer on the surface may act as a protective barrier against copper ions. Bacterial densities in the biofilm reached a high concentration of 1.40 x 105 CFU/cm2 on the PEX pipe loop bioreactor, and 1.05 x 104 CFU/cm2in the PEX coupon in the tank bioreactors. Comparing the turbulent conditions in the pipe loop bioreactors to the stagnant conditions in the tank bioreactor, showed that biofilms formed more rapidly under stagnant conditions, but in larger quantities under turbulent conditions.

The high levels of pollution associated with mining activities necessitate more efficient methods of treating mining effluent before it is released into the environment. Phosphate -mining wastewater contains high concentrations of sulfate that can be removed and recovered as elemental sulfur (S0), which is a useful resource. The Membrane Biofilm Reactor (MBfR) uses gas-transfer membranes for the delivery of gases to microorganisms that carry out oxidation-reduction reactions that lead to the breakdown of contaminants. The two main microorganisms involved in the treatment of sulfate wastewater using the MBfR are sulfate-reducing bacteria (SRB) for the reduction of sulfate into sulfide and sulfur-oxidizing bacteria (SOB) for the oxidation of sulfide into S0. In this work, the kinetic processes involved in sulfate reduction and sulfide oxidation for SRB and SOB were modeled using the steady-state biofilm model and mass balances on a completely mixed biofilm reactor. The model results identified trends of substrate removal, biofilm accumulation, and hydraulic retention time (HRT) for the design of the sulfate-treatment system. The HRT required for 97.5% sulfate removal was about 0.1 d and that for 97.5% sulfide removal about 0.2 d. Higher levels of biofilm accumulation occurred with sulfide oxidation due to the larger biomass yield of the SOB. The needed delivery of H2 gas required for sulfate reduction and O2 gas for sulfide oxidation, as well as the alkalinity changes, also were determined based on the removal levels.