An integrated approach for evaluating freshwater ecosystems under the influence of high salinity: a case study of Manchar Lake in Pakistan.

Manchar Lake, Pakistan's biggest lake in the arid zone, faces human-induced salinity issues. This study investigated its effects on the multifaceted ecosystem services, including serving as a source of drinking and irrigation water and aquatic health through assessing fish diversity and characteristics. Analyses of 189 water samples from 21 sites revealed spatiotemporal variations in major ions contributing to lake water salinity. The study assessed water suitability for drinking and agriculture using the water quality index (WQI), sodium adsorption ratio (SAR), magnesium hazard (MH), sodium percent (Na%), and Kelly's ratio (KR). The WQI, ranging from 141 to 408, indicated that the lake water was unfit for drinking. In some seasons, such as the pre-monsoon period, the lake water was deemed unsuitable for irrigation due to high SAR values (18 ± 4 g/L, average ± standard deviation), consistently rising MH values exceeding 66 in all seasons and elevated sodium percentages surpassing 66% in both the pre-monsoon and monsoon seasons. The KR remained acceptable (averaging 0.8 to 2.5) in all seasons. Fish health in highly saline conditions was assessed using data from interviews, focus group discussions, and fish sampling (1684 fish from 10 sites). Results depicted that high salt contamination severely impacted fish length and weight. The study found low richness (Simpson's biodiversity: 0.697 and Shannon Weaver: 1.51) and evenness (Pielou's index: 0.48) among the fish populations. Since 1998, Manchar Lake has seen a decline in fish varieties from 32 to 23, with changes in fish species' feeding habits. To improve lake water quality, the study recommends diverting saline water to the sea before and after the monsoon season while utilizing freshwater from alternative sources to fill any water deficit.

Ion exchange for effective separation of 3-nitro-1,2,4-triazol-5-one (NTO) from wastewater.

The explosive 3-nitro-1,2,4-triazol-5-one (NTO) presents a physiochemical challenge for treatment of munitions wastewater. Leveraging NTO's ionic character in neutral pH wastewater allows for expanded treatment options. Four commercial drinking water anion exchange resins specific for NO3- and ClO4- were evaluated for NTO adsorption extent, adsorption kinetics, and regeneration potential. Batch studies demonstrated NTO adsorption to all resins tested (max 690 mg NTO/g resin) and that resins were regenerable with 6% NaCl. Adsorption capacities (88-99%) and desorption efficiencies (80-85%) of NTO from the resins remained stable over three loading cycles. Perchlorate selective resins adsorbed more NTO, with larger desorption efficiencies, than nitrate selective resins. Kinetic experiments demonstrated that equilibrium adsorption between NTO and resins occurs within 120 min of exposure, following the pseudo second-order model (K2 range 9.8 × 10-5 to 15 × 10-5 g resin/mg NTO/min). Intraparticle diffusion modeling suggested that boundary-layer diffusion was the predominant sorption mechanism in NTO adsorption to the resins compared to intraparticle diffusion. In synthetic wastewater mixtures of NTO, 2-4-dinitroanisole (DNAN), nitroguanidine (NQ), and hexahydro-1,3,5-trinitro-1,3,5-triazine (RDX), only NTO was exchanged to any great extent. This work suggests that perchlorate anion exchange resins may be a viable segregation technology for NTO from munitions wastewater as compared to activated carbon.

Artificial neural network-based estimation of COVID-19 case numbers and effective reproduction rate using wastewater-based epidemiology.

As a cost-effective and objective population-wide surveillance tool, wastewater-based epidemiology (WBE) has been widely implemented worldwide to monitor the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA concentration in wastewater. However, viral concentrations or loads in wastewater often correlate poorly with clinical case numbers. To date, there is no reliable method to back-estimate the coronavirus disease 2019 (COVID-19) case numbers from SARS-CoV-2 concentrations in wastewater. This greatly limits WBE in achieving its full potential in monitoring the unfolding pandemic. The exponentially growing SARS-CoV-2 WBE dataset, on the other hand, offers an opportunity to develop data-driven models for the estimation of COVID-19 case numbers (both incidence and prevalence) and transmission dynamics (effective reproduction rate). This study developed artificial neural network (ANN) models by innovatively expanding a conventional WBE dataset to include catchment, weather, clinical testing coverage and vaccination rate. The ANN models were trained and evaluated with a comprehensive state-wide wastewater monitoring dataset from Utah, USA during May 2020 to December 2021. In diverse sewer catchments, ANN models were found to accurately estimate the COVID-19 prevalence and incidence rates, with excellent precision for prevalence rates. Also, an ANN model was developed to estimate the effective reproduction number from both wastewater data and other pertinent factors affecting viral transmission and pandemic dynamics. The established ANN model was successfully validated for its transferability to other states or countries using the WBE dataset from Wisconsin, USA.

Experimental diffusivity of energetic compounds determined by peak parking.

Diffusivities of several explosive compounds, as well as other complex organic compounds were experimentally derived using a peak parking methodology. High performance liquid chromatography (HPLC) with stop flow 'parking' was used to experimentally determine diffusivity based on band broadening associated with chemical diffusion within the HPLC column. This research builds on prior methods by determining an obstruction factor through comparing benzene diffusion in methanol in a C18 column to the previously published capillary column. The method is useful for structures not easily described by computational chemistry methods or for solvents that do not have association coefficients in published diffusivity models. Using the peak parking method, diffusivities (cm2/s) ranged from 6.29 × 10-7 to 1.06 × 10-6 for hexahydro-1,3,5-trinitro-1,3,5-triazine (RDX), 4.82 × 10-5 to 1.26 × 10-4 for 3-nitro-1,2,4-triazol-5-one (NTO), 1.63 × 10-5 to 7.20 × 10-6 for nitroguanidine (NQ), 7.07 × 10-6 to 2.09 × 10-5 for pyrimidine-2-carboxylic acid, and 1.02 × 10-6 to 2.27 × 10-6 for streptomycin. Compared to diffusivities estimated computationally, the empirical diffusivities reported herein estimated by two different methods have percent differences averaging 142%, 174%, 27%, 85%, and 33% for RDX, NTO, NQ, pyrimidine-2-carboxylic acid, and streptomycin, respectively. NTO had experimental diffusivities greater than the computational values, while RDX and streptomycin had experimental diffusivities lower than computational values.

Simultaneous reduction of perchlorate and nitrate using fast-settling anoxic sludge.

Fast-settling, anoxic sludge (FAS) was cultivated and utilized in this study to simultaneously reduce elevated levels of perchlorate and nitrate in an anaerobic sequencing batch reactor (AnSBR). Average perchlorate and nitrate removal efficiencies of 96.5 ± 8.44 % and 99.8 ± 0.32 %, respectively, were achieved from an average perchlorate and nitrate loading rate of 159 ± 101 g ClO4-/m3·d and 10.8 ± 7.25 g NO3--N/m3·d, respectively, throughout long-term operation (>500-d). Batch activity tests revealed a preferential utilization of nitrate over perchlorate, where significant perchlorate reduction inhibition occurred when nitrate was present as a competing electron acceptor under carbon-limiting conditions. Specific perchlorate and nitrate reduction rates were shown to increase as the hydraulic retention time (HRT) of the AnSBR was step-wise decreased and subsequently the perchlorate and nitrate loading rates were step-wise increased. Functional, mRNA-based expression of the nitrite reductase (nirS and nirK), nitrous oxide reductase (nosZ), perchlorate reductase subunit A (pcrA), and the chlorite dismutase (cld) genes illustrated the simultaneous activity of heterotrophic denitrification and perchlorate reduction occurring throughout a complete standard reactor operational cycle, and allowed for expression trends to be documented as the HRT of the AnSBR was reduced from 5-d to 1.25-d. Nitrous oxide (N2O) production was detected as a result of incomplete denitrification, where the largest N2O production occurred at the highest nitrate loading rates investigated in this study. Thauera species were heavily enriched at a longer HRT of 5-d, but were out-competed by Dechloromonas species as the HRT of the AnSBR was step-wise reduced to 1.25-d.

Correlation of SARS-CoV-2 RNA in wastewater with COVID-19 disease burden in sewersheds.

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes the coronavirus disease (COVID-19), is shed in feces and the viral ribonucleic acid (RNA) is detectable in wastewater. A nine-week wastewater epidemiology study of ten wastewater facilities, serving 39% of the state of Utah or 1.26 M individuals was conducted in April and May of 2020. COVID-19 cases were tabulated from within each sewershed boundary. RNA from SARS-CoV-2 was detectable in 61% of 126 wastewater samples. Urban sewersheds serving >100,000 individuals and tourist communities had higher detection frequencies. An outbreak of COVID-19 across two communities positively correlated with an increase in wastewater SARS-CoV-2 RNA, while a decline in COVID-19 cases preceded a decline in RNA. SARS-CoV-2 RNA followed a first order decay rate in wastewater, while 90% of the RNA was present in the liquid phase of the influent. Infiltration and inflow, virus decay and sewershed characteristics should be considered during correlation analysis of SAR-CoV-2 with COVID-19 cases. These results provide evidence of the utility of wastewater epidemiology to assist in public health responses to COVID-19.

Template length, concentration and guanidine and cytosine content influence on multiple displacement amplification efficiency.

Detection of low abundance human health pathogens in environmental samples is a challenge for water monitoring. This limitation can be overcome by the introduction of multiple displacement amplification (MDA) where a minute amount of genetic material can be amplified using a phi-29 DNA polymerase. However, the genetic makeup and the concentration of the polynucleotides might influence the amplification process due to inherent assay bias. Herein, a series of experiments were designed to demonstrate the effect of genome length, guanidine and cytosine content, and template concentration on the efficiency of MDA. Quantitative polymerase chain reaction (qPCR) was performed to quantify pre- and post-MDA concentrations of selected genes. Linear regression between pre- and post-MDA log gene copies L-1 of both environmental and lab-grown samples showed a positive correlation (F = 77.59, P < 0.001, R2 = 0.7, slope = 1.01). Correlation between relative polynucleotide increase after MDA and target organism length and gene target guanidine and cytosine (G + C) content (F = 4.3, P = 0.02) shows that lower G + C and higher genome length is favored in the MDA process. The MDA process was shown to favor a longer genome over a shorter genome (1.19 and 1.04 change in log gene copy L-1, respectively) and a lower G + C content over a higher G + C content (1.11 and 0.61 change in log gene copy L-1, respectively). There was no MDA bias observed when polynucleotides had the same G + C and genome length but different initial concentrations. This study highlights the need for increased caution when interpreting relative abundance of organisms amplified by MDA such as in next generation sequencing.

Informing water distribution line rehabilitation through quantitative microbial risk assessment.

Poor urban water quality has been linked to diminished source water quality, poorly functioning water treatment systems and infiltration into distribution lines after treatment resulting in microbiological contamination. With limited funding to rehabilitate distribution lines, developing nations need tools to identify the areas of greatest concern to human health so as to target cost effective remediation approaches. Herein, a case study of Hyderabad, Pakistan was used to demonstrate the efficacy of combining quantitative microbial risk assessment (QMRA) for multiple pathogens with spatial distribution system modeling to identify areas for pipe rehabilitation. Abundance of Escherichia coli, Enterococcus (enterococci), Salmonella spp., Shigella spp., Giardia intestinalis, Vibrio cholera, norovirus GI and adenovirus 40/41, were determined in 85 locations including the source water, treatment plant effluent and the city distribution lines. Bayesian statistics and Monte Carlo simulations were used in the QMRA to account for left-censored microbial abundance distributions. Bacterial and viral abundances in the distribution system samples decreased as follows: 9400 ± 19,800 norovirus gene copies/100 mL (average ± standard deviation, 100% of samples positive); 340 ± 2200 enterococci CFU/100 mL (94%), 71 ± 97 Shigella sp. CFU/100 mL (97%), 60 ± 360 E. coli CFU/100 mL (89%), 35 ± 79 adenovirus gene copies/100 mL (100%), and 21 ± 46 Salmonella sp. CFU/100 mL (76%). The QMRA revealed unacceptable probabilities of illness (>1 in 10,000 illness level) from the four exposure routes considered (drinking water, or only showering, tooth brushing, and rinsing vegetables consumed raw). Disease severity indices based on the QMRA combined with mapping the distribution system revealed areas for targeted rehabilitation. The combined intensive sampling, risk assessment and mapping can be used in low- and middle-income countries to target distribution system rehabilitation efforts and improve health outcomes.

Health risks associated with accumulation of heavy metals in fish of Keenjhar Lake, Pakistan.

The Keenjhar Lake in the southern part of Pakistan is exposed to heavy metal contamination, mainly due to the lack of proper upstream industrial effluent treatment. In this study, accumulation of heavy metals in five frequently consumed fish species Cirrhinus mrigala (Morakhi), Labeo rohita (Kur'ro), Solea solea (Mundi), Sperata seenghala (Singharo), and Anguilla bengalensis (Baam) from Keenjhar Lake were investigated. A total of 30 fish samples were collected from fishermen at the lake. Fish tissues were digested using standard methods and analyzed for metals using an atomic absorption spectrophotometer (AAS). Heavy metal (Cu, Ni, Pb, total Cr, Cr(VI), and Cd) concentrations were detected both in fish muscles and liver. Among the five targeted species, Cirrhinus mrigala appeared to be the most bioaccumulative fish, with Cr (219.78) > Pb (34.20) > Cu (22.49) > Ni ((16.24) > Cr(VI) (15.25) > Cd (0.01). The target hazard quotient (THQ) and hazard index (HI) were calculated to assess human health risk. The concentration of metals showed a significant difference among fish muscles and liver in the three studied locations. The total HI for heavy metals were estimated to be less than 1, but the cancer risk (CR) for Pb and Cr(VI) exceeded acceptable limits for fish consumption. From the human health perspective, this study informs local populations, i.e., fishing communities and population consuming approximately 150 g/day of Keenjhar Lake fish regularly are chronically exposed to Pb and Cr(VI) contamination with (10-4 to 10-6) carcinogenic risks.

Probabilistic risk assessment of water distribution system in Hyderabad, Pakistan reveals unacceptable health hazards and areas for rehabilitation.

Poor water quality exacerbates multidimensional poverty in developing nations. Often centralized treatment facilities generate acceptable water quality, but the water is contaminated during distribution. Methods to assess sources of contamination in water distribution systems are lacking. A case study of two methods, human risk assessment linked to water distribution system sampling was conducted in Hyderabad, Pakistan to determine areas requiring infrastructure rehabilitation. Water samples from source water (i.e., the Indus River), treatment plant effluent and from taps in the water distribution system were analyzed by atomic adsorption spectroscopy for metals and metalloids (As, Cd, Cr, Hg, and Pb) and water quality parameters (dissolved and suspended solids, pH, conductivity, and total organic carbon). Source water exceeded acceptable drinking water levels for As, Cd, total Cr, and Pb, while the treatment plant effluent concentrations were acceptable. Concentrations of all metals and metalloids, except Hg, increased in the water distribution system post-treatment, exceeding safe drinking limits in at least one location, suggesting contamination of the water during distribution. A deterministic and a probabilistic risk assessment were conducted to evaluate two scenarios: (1) unrestricted use of piped water for all household purposes, including as drinking water and (2) restricted use of the water for purposes other than drinking in the household, including only dermal and inhalation exposure pathways. The water was deemed unsafe for unrestricted use as the sole source of drinking water by both risk assessment methods. Yet when an alternative source of drinking water was assumed and the piped water was used only for bathing and dish washing, the probabilistic risk assessment revealed acceptable health risks to the population, while the overly conservative deterministic risk assessment suggested unacceptable risks. The combined methods of water sampling, risk assessment and correlation analysis suggested areas for rehabilitation of the water distribution system in Hyderabad, Pakistan and these methods can be adopted in other developing nations to target limited funds for infrastructure rehabilitation.

Adsorption kinetics of the herbicide safeners, benoxacor and furilazole, to activated carbon and agricultural soils.

Chloroacetamide herbicides, namely acetochlor and metolachlor, are common herbicides used on corn and soybean fields. Dichloroacetamide safeners, namely benoxacor and furilazole, are commonly used in formulations containing chloroacetamide herbicides. Extensive reports on adsorption of chloroacetamide herbicides are available, yet little information exists regarding adsorption potential of co-applied safeners. Herein, the adsorption and desorption characteristics of selected herbicide safeners to granular activated carbon (GAC) and in agricultural soils are reported. Further, soil column studies were performed to understand the leaching behaviour of the herbicide Dual II Magnum. Equilibrium sorption experiments of safeners to three agricultural soils and one GAC showed that adsorption was best fitted by the Freundlich isotherm. The Freundlich adsorption constant, Kf, for benoxacor and furilazole sorption onto three agricultural soils ranged from 0.1 to 0.27 and 0.1 to 0.13 (mg/g) × (mg/L)ˆ(1/n), respectively. The Kf for benoxacor and furilazole to GAC was 6.4 and 3.4 (mg/g) × (mg/L)ˆ(1/n), respectively, suggesting more favorable sorption of benoxacor to GAC than furilazole to GAC. The sorption to soils was reversible as almost 40%-90% of both safeners was desorbed from three soils. These results were validated in four replicated soil column studies, where S-metolachlor was shown to leach similarly to the safener benoxacor, originating from the herbicide formulation. The leaching of S-metolachlor and benoxacor was influenced by soil texture. Cumulatively, these results show that safeners will move through the environment to surface waters similarly to the active ingredients in herbicides, but may be removed during drinking water treatment via GAC.

Roofing material and irrigation frequency influence microbial risk from consuming homegrown lettuce irrigated with harvested rainwater.

Rooftop harvested rainwater has become an alternative, potable, and non-potable water source used around the world. In the United States, rooftop harvested rainwater is most commonly used for irrigation. Rooftop harvested rainwater may contain contaminants from bird or animal feces that may present a risk to water users. Different roofing materials may influence the survival of fecal bacteria on the rooftop prior to runoff during rainfall. In this study, three pathogen groups (E. coli, enterococci and Salmonella enterica) in rooftop runoff from three, replicated roof types (asphalt shingle, synthetic slate, and wood shake) were quantified in multiple rain events. Matched roofs were selected from locations with differing amounts of tree cover. Enterococci were the most frequently detected bacteria from all roof types. Wood shake and asphalt shingle roofing materials had the poorest microbial water quality. Rainwater runoff from two of the six buildings failed to meet United States Food and Drug Administration microbial standards for irrigation water. A quantitative microbial risk assessment indicated that the annual probability of illness from consuming lettuce irrigated with rooftop harvested rainwater varied by roofing material, irrigation water withholding period, and exposure frequency. Consuming lettuce immediately after irrigation with rooftop rainwater presented the highest human health risk based on the probability of illness from E. coli and enterococci exposure. Withholding irrigation by 1 day prior to harvest decreased the annual probability of illness from E. coli by 2 log, but had a minimal effect on the risk from enterococci.

Solubility, partitioning, oxidation and photodegradation of dichloroacetamide herbicide safeners, benoxacor and furilazole.

Approximately 242 million kg of herbicides are applied in the United States (US) annually. While herbicides prevent the growth of weeds, they can damage crops resulting in so called "herbicide injury." To increase herbicidal tolerance of crops, herbicide safeners are commonly added to formulations. Herbicidal safeners are labeled as inert ingredients in herbicide formulations and typically minimal fate and transport information is available. The objective of this study is to experimentally derive the aqueous solubility, octanol-water partition coefficient, and photo-degradation and permanganate oxidation of two dichloroacetamide safeners, benoxacor and furilazole. These results can be used to understand the environmental chemodynamics of these compounds and their degradation via common drinking water treatment systems containing permanganate. The aqueous solubility of benoxacor and furilazole was 22 and 235 mg L-1 respectively while the estimated solubility from EPI Suite was 102.7 and 255 mg L-1 respectively. The log octanol-water partition coefficient of benoxacor and furilazole was 2.23 and 1.96 respectively. The selected safeners were not photodegradable to any great extent. Both benoxacor and furilazole oxidation were found to be second order with respect to initial KMnO4 concentrations. The results of this study can be used to predict distribution of safeners after application in agricultural fields and aid in the design of treatment systems.

Elucidating Waterborne Pathogen Presence and Aiding Source Apportionment in an Impaired Stream.

Fecal indicator bacteria (FIB) are the basis for water quality regulations and are considered proxies for waterborne pathogens when conducting human health risk assessments. The direct detection of pathogens in water and simultaneous identification of the source of fecal contamination are possible with microarrays, circumventing the drawbacks to FIB approaches. A multigene target microarray was used to assess the prevalence of waterborne pathogens in a fecally impaired mixed-use watershed. The results indicate that fecal coliforms have improved substantially in the watershed since its listing as a 303(d) impaired stream in 2002 and are now near United States recreational water criterion standards. However, waterborne pathogens are still prevalent in the watershed, as viruses (bocavirus, hepatitis E and A viruses, norovirus, and enterovirus G), bacteria (Campylobacter spp., Clostridium spp., enterohemorrhagic and enterotoxigenic Escherichia coli, uropathogenic E. coli, Enterococcus faecalis, Helicobacter spp., Salmonella spp., and Vibrio spp.), and eukaryotes (Acanthamoeba spp., Entamoeba histolytica, and Naegleria fowleri) were detected. A comparison of the stream microbial ecology with that of sewage, cattle, and swine fecal samples revealed that human sources of fecal contamination dominate in the watershed. The methodology presented is applicable to a wide range of impaired streams for the identification of human health risk due to waterborne pathogens and for the identification of areas for remediation efforts.IMPORTANCE The direct detection of waterborne pathogens in water overcomes many of the limitations of the fecal indicator paradigm. Furthermore, the identification of the source of fecal impairment aids in identifying areas for remediation efforts. Multitarget gene microarrays are shown to simultaneously identify waterborne pathogens and aid in determining the sources of impairment, enabling further focused investigations. This study shows the use of this methodology in a historically impaired watershed in which total maximum daily load reductions have been successfully implemented to reduce risk. The results suggest that while the fecal indicators have been reduced more than 96% and are nearing recreational water criterion levels, pathogens are still detectable in the watershed. Microbial source tracking results show that additional remediation efforts are needed to reduce the impact of human sewage in the watershed.

Whole community transcriptome of a sequencing batch reactor transforming 2,4-dinitroanisole (DNAN) and 3-nitro-1,2,4-triazol-5-one (NTO).

Two sequencing batch reactors (SBRs) were run to bio-mineralize 2,4-dinitroanisole (DNAN) and 3-nitro-1,2,4-triazol-5-one (NTO) in lab scale settings. The reactors were shown to reproducibly biotransform these munitions under aerobic and anaerobic conditions during the operations of these SBRs. Complete removal (100% biotransformation) of DNAN (initially 17.7 ± 5.4 mg L-1) and NTO (initially 15.0 ± 7.1 mg L-1) was observed in an anaerobic SBR when Luria-Bertani (LB) broth was present. In contrast, an aerobic SBR degraded only 58 ± 22% of DNAN (initially 19.7 ± 6.2 mg L-1) and 45 ± 24% of NTO (initially 9.7 ± 6.3 mg L-1) when either LB or glucose was also added indicating that anaerobic conditions are more favorable for biotransformation of these munitions. Transcriptomic analysis of the DNAN and NTO degrading anaerobic SBR revealed upregulation of a putative nitroreductase, hydroxylaminophenol mutases, 4-hydroxylphenyl acetate associated genes, and quinone oxioreductases. Major Bacterial populations included Bacteroidales, Campylobacterales, Enterobacteriales, Pseudomonadales, Burkholderiales and Clostridiales. Results from this study can be used to inform investigation of munition degrading organisms and the functional genes responsible.

Transport and attenuation of Salmonella enterica, fecal indicator bacteria and a poultry litter marker gene are correlated in soil columns.

Millions of tons of fecal-contaminated poultry litter are applied to U.S. agricultural fields annually. Precipitation and irrigation facilitate transport of fecal-derived pathogens and fecal indicator bacteria (FIB) to groundwater. The goal of this study was to compare transport of pathogens, FIB, and a microbial source tracking marker gene for poultry litter (LA35) in a simulated soil-to-groundwater system. Nine laboratory soil columns containing four different soil types were used to evaluate microbial transport to groundwater via infiltration. Quantitative polymerase chain reaction was used to monitor Salmonella enterica Typhimurium, Escherichia coli, Enterococcus spp., Brevibacterium sp. LA35 and Bacteroidales leached from soil columns inoculated with poultry litter. S. enterica was correlated with LA35 poultry litter marker gene and FIB concentrations in column soils containing organic matter, but not in acid washed sands. In contrast, S. enterica was found to correlate with LA35 and FIB in the leachate from columns containing sand, but not with leachate from organic soil columns. The majority of recovered DNA was found in leachate of predominately sandy soil columns, and in the soil of loamy columns. At least 90% of the DNA retained in soils for each microbial target was found in the top 3cm of the column. These studies suggest that poultry litter associated pathogens and FIB are rapidly released from litter, but are influenced by complex attenuation mechanisms during infiltration, including soil type. This study advances our understanding of the potential for subsurface transport of poultry litter associated pathogens and FIB, and support the use of the LA35 marker gene for evaluating poultry litter impacts on groundwater.

A case study for orphaned chemicals: 4-methylcyclohexanemethanol (MCHM) and propylene glycol phenyl ether (PPH) in riverine sediment and water treatment processes.

There are an estimated 30,000 chemicals in commerce used in quantities >1016kg per year in the US. Unfortunately there is limited information on the chemicals partitioning and reactivity properties. These orphaned or understudied chemicals are viewed as non-hazardous but can still pose serious economic, health, environmental and societal impacts as evidenced by the January 2014 spill of 37,900L of crude-MCHM (primarily 4-methylcyclohexanemethanol) and stripped-PPH (primarily dipropylene glycol phenyl ether and propylene glycol phenyl ether) into the Elk River near Charleston, WV. Using the Elk River spill as a case study of orphaned or understudied chemicals, experiments were undertaken to evaluate the adequacy of standard approaches to emergency drinking water treatment (oxidation and sorption to activated carbons). Further available sorption models for estimating the potential of these compounds to sorb to Elk River sediments and to activated carbons in drinking water systems were investigated. The results showed that powdered activated carbon (PAC) was the most effective sorbent. The trans-MCHM isomer was found to preferentially sorb compared to cis-MCHM. For MCHM concentrations ranging from 2 to 5mgL-1 in the treatment plant, PAC concentrations of 0.1-1.4mgL-1 would be required to lower both MCHM isomers to the CDC screening level. In most cases, published linear solvation energy relationships and quantitative structure activity relationships were inadequate to estimate the a priori likelihood of sorption of MCHM and PPH to sediments and GAC, but did fit the PAC results well. Permanganate and chlorine oxidation of the compounds showed limited to insignificant removal. The studies presented herein suggest that there are still inherent vulnerabilities to drinking water treatment systems that need to be addressed.

Enabling Science Support for Better Decision-Making when Responding to Chemical Spills.

Chemical spills and accidents contaminate the environment and disrupt societies and economies around the globe. In the United States there were approximately 172,000 chemical spills that affected US waterbodies from 2004 to 2014. More than 8000 of these spills involved non-petroleum-related chemicals. Traditional emergency responses or incident command structures (ICSs) that respond to chemical spills require coordinated efforts by predominantly government personnel from multiple disciplines, including disaster management, public health, and environmental protection. However, the requirements of emergency response teams for science support might not be met within the traditional ICS. We describe the US ICS as an example of emergency-response approaches to chemical spills and provide examples in which external scientific support from research personnel benefitted the ICS emergency response, focusing primarily on nonpetroleum chemical spills. We then propose immediate, near-term, and long-term activities to support the response to chemical spills, focusing on nonpetroleum chemical spills. Further, we call for science support for spill prevention and near-term spill-incident response and identify longer-term research needs. The development of a formal mechanism for external science support of ICS from governmental and nongovernmental scientists would benefit rapid responders, advance incident- and crisis-response science, and aid society in coping with and recovering from chemical spills.

Ultrafiltration and Microarray for Detection of Microbial Source Tracking Marker and Pathogen Genes in Riverine and Marine Systems.

Pathogen identification and microbial source tracking (MST) to identify sources of fecal pollution improve evaluation of water quality. They contribute to improved assessment of human health risks and remediation of pollution sources. An MST microarray was used to simultaneously detect genes for multiple pathogens and indicators of fecal pollution in freshwater, marine water, sewage-contaminated freshwater and marine water, and treated wastewater. Dead-end ultrafiltration (DEUF) was used to concentrate organisms from water samples, yielding a recovery efficiency of >95% for Escherichia coli and human polyomavirus. Whole-genome amplification (WGA) increased gene copies from ultrafiltered samples and increased the sensitivity of the microarray. Viruses (adenovirus, bocavirus, hepatitis A virus, and human polyomaviruses) were detected in sewage-contaminated samples. Pathogens such as Legionella pneumophila, Shigella flexneri, and Campylobacter fetus were detected along with genes conferring resistance to aminoglycosides, beta-lactams, and tetracycline. Nonmetric dimensional analysis of MST marker genes grouped sewage-spiked freshwater and marine samples with sewage and apart from other fecal sources. The sensitivity (percent true positives) of the microarray probes for gene targets anticipated in sewage was 51 to 57% and was lower than the specificity (percent true negatives; 79 to 81%). A linear relationship between gene copies determined by quantitative PCR and microarray fluorescence was found, indicating the semiquantitative nature of the MST microarray. These results indicate that ultrafiltration coupled with WGA provides sufficient nucleic acids for detection of viruses, bacteria, protozoa, and antibiotic resistance genes by the microarray in applications ranging from beach monitoring to risk assessment.