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205 results for “Wastewater”
FIG. 6. Stream temperatures from one East Fork site and two West Fork sites measured 15 January 2020 through 15 February 2020 in Impacts of Wastewater Effluent on Temperate Stream Fish Assemblage Structure
FIG. 6. Stream temperatures from one East Fork site and two West Fork sites measured 15 January 2020 through 15 February 2020. East Fork site temperature is represented by a solid gray line, and temperatures from West Fork sites are represented by a black dotted line for the WWTP "outfall" and a black dashed line for the further downstream site.
FIG. 3 in Impacts of Wastewater Effluent on Temperate Stream Fish Assemblage Structure
FIG. 3. nMDS based on Bray-Curtis similarity, depicting fish assemblage relationships among all study sites (West Fork: black triangles represent individual sites and the dark shaded hull encompasses sites; East Fork: gray circles represent individual sites and the light shaded hull encompasses sites). Upper panel depicts relationships among all 26 summer samples; lower panel depicts relationships among all summer samples and the four sites revisited during the following winter. Sites revisited are labeled ending with "w."
FIG. 2 in Impacts of Wastewater Effluent on Temperate Stream Fish Assemblage Structure
FIG. 2. Rarefied species richness within both the East and West Forks. Solid lines represent interpolation of species accumulation and dashed lines represent extrapolation of species richness if additional individuals were to be captured (gray ¼ East Fork; black ¼ West Fork). The black triangle represents observed species richness in the West Fork, and the gray circle represents observed richness in the East Fork. 95% confidence intervals are depicted for both accumulation curves.
FIG. 5 in Impacts of Wastewater Effluent on Temperate Stream Fish Assemblage Structure
FIG. 5. Principal component analyses illustrating abiotic relationships among sites in both the East and West Forks. Upper panel depicts the abbreviated dataset (i.e., only includes the 13 sites where all abiotic variables were collected). Measures of depth and % gravel best explained variation represented by PC1 (i.e., values increase towards the positive), and discharge and % pebble explained variation represented by PC2. Lower panel depicts substrate relationships among all 26 sites. PC1 explains variation in % gravel and % cobble among sites, whereas PC2 explains variation in % pebble and further % gravel variation among sites. For both panels, West Fork sites are represented by black triangles and are encompassed by the dark shaded hulls and East Fork sites are represented by gray circles and are encompassed by the lighter shaded hulls.
FIG. 1. Map depicting the 26 in Impacts of Wastewater Effluent on Temperate Stream Fish Assemblage Structure
FIG. 1. Map depicting the 26 sites sampled in the East (n ¼ 10, gray circles) and West (n ¼ 16, black circles) Forks of the Niangua River during the study. The three circles with X's represent the sites where temperature loggers were deployed, and the WWTP outfall is located immediately south of W1 (right). Map inset (upper left) depicts the location of Missouri in the U.S., and inset (lower left) shows the location of the upper Niangua River drainage in Missouri.
FIG. 4 in Impacts of Wastewater Effluent on Temperate Stream Fish Assemblage Structure
FIG. 4. Relationships between abundance of C. bairdii (per site) and upstream site distances (km) from the lower confluence (with the Niangua River proper). West Fork sites are depicted with black triangles, and East Fork sites are depicted as gray circles. Linear trend lines show relationships in each fork and further illustrate findings from ANCOVA.
Modeled San Diego Bight Shoreline Untreated Wastewater Concentration for Year 2017
<p>This data set is used in Feddersen, Boehm, Giddings, Wu, Liden (2021, submitted) and consists of modeled San Diego Bight Shoreline Untreated Wastewater Concentration for Year 2017 and time series of yearly swimmers at Imperial Beach CA. The paper can be found at http:\\falk.ucsd.edu\papers.html</p> <p>There are two MATLAB data files in this data repository created with MATLAB 2019 or 2020 versions. The first is DSHORE_NADB_ALL.mat. The data fields look like</p> <p>>> load DSHORE_NADB_ALL.mat<br> >> whos<br> Name Size Bytes Class Attributes</p> <p> V 1x1 256427960 struct</p> <p>>> V</p> <p>V =</p> <p> struct with fields:</p> <p> DSHORE_ALL_PTB: [4x224x8928 double] % PTB source shoreline wastewater concentration for 4 scenarios, alongshore, and time<br> DSHORE_ALL_TJRE: [4x224x8928 double] % TJRE source shoreline wastewater concentration<br> SALT_SHORE_ALL: [4x224x8928 double] % shoreline ocean salinity<br> TEMP_SHORE_ALL: [4x224x8928 double] % shoreline ocean temp<br> time_dnum: [8928x1 double] % time vector<br> LAT: [224x1 double] % latitude and longitude of shoreline positions<br> LON: [224x1 double]<br> L_TJ: [224x1 double] % alongcoast distance from TJRE<br> L_PB: [224x1 double] % alongcoast distance from Punta Bandera<br> locs: [32.4466 32.5340 32.5534 32.5790 32.6290 32.6785 32.6854] % latitude of locations of interest<br> X: [224x1 double]<br> Y: [224x1 double]<br> Hsig0: [8977x1 double] % Significant wave height at location of SBOO outfall<br> Lwave0: [8977x1 double] % peak wavelength at SBOO outfall<br> Dp0: [8977x1 double] % peak wave direction at SBOO outfall<br> h0: 34.7912<br> zeta_tide: [8977x1 double] % tidal elevation at SBOO outfall<br> Salt0: [8977x1 double] % offshore salinity</p> <p>We also include a beach visitor data file</p> <p>>> load IB_beach_normalized_visit.mat<br> >> whos<br> Name Size Bytes Class Attributes</p> <p><br> dtimes 1x8761 70088 double % time vector in matlab datenum format<br> mean_year_swim 1x1 8 double % total number of swimmers entire year<br> mean_year_visit 1x1 8 double % total beach visitors entire year<br> nswim 1x8761 70088 double % normalized swimmers - sums to one. For total hourly swimmers, multiply by mean_yaer_swim<br> nswim_daily 1x8761 70088 double % daily distributed swimmers<br> nswim_daily2 1x8761 70088 double % another version<br> nvisit 1x8761 70088 double % normalized beach visitors</p> <p> </p>
GOLD MINING WASTEWATER TREATMENT IN DAK SA GOLD MINE
<p><strong>Method and Materials</strong></p> <p><em>Case Study:</em></p> <p>Dak Sa gold mine is located in Phuoc Son district, Quang Nam province in the South Central Coast region of Vietnam. It is currently Vietnam's largest gold mine, with a deposit of 30 tonnes, processing capacity of 180000 ore tonnes /y.</p> <p><em>Choosing suitable cyanide treatment process</em></p> <p>Choosing suitable cyanide treatment process requires the consideration many factors such as processes for treatment untreated solutions or slurries and the desired level of treatment. Several proven and effective chemical treatment processes have been developed for the removal of cyanide from gold ores processing. In Đak Sa gold ore processing plant, the Inco sulphur dioxide/air process has been selected appropriately in reducing free and weak acid dissociable (WAD) cyanide concentrations to low levels for discharge.</p> <p>Wastewater containing cyanide are treated in a two-stage chemical destruction to decrease the concentration of residual cyanide and heavy metals in the wastewater before discharging to a surface impoundment then the tailings pond. Cyanide treatment process has been investigated.</p> <p>Samples were collected in the tailings pond in Dak Sa gold mine from August 2021- March 2022. The level of cyanide and metal levels the samples were measured at the laboratory in the center for environment consultancy and technology (CECT).</p>
Methotrexate degradation in artificial wastewater using non-thermal pencil plasma jet
<p>Supplementary Material</p>
Data from "The Impact of Chlorine Disinfection of Hospital Wastewater on Clonal Similarity and ESBL-Production in Selected Bacteria of the Family Enterobacteriaceae"
<p>Data to accompany paper "Rolbiecki, D.; Korzeniewska, E.; Czatzkowska, M.; Harnisz, M. The Impact of Chlorine Disinfection of Hospital Wastewater on Clonal Similarity and ESBL-Production in Selected Bacteria of the Family Enterobacteriaceae. <em>Int. J. Environ. Res. Public Health</em> 2022, <em>19</em>, 13868. https://doi.org/10.3390/ijerph192113868"</p> <p>1. Bacterial Strains Data.xlsx - characteristics of the strains obtained in this study (Strain number, medium used for isolation, research season, research site, isolation date.</p> <p>2. Data of Phenotypic Detection of ESBL Producers.xlsx - ESBL+ bacterial detection analysis results: two-stage detection using chromID™ ESBL medium and Combined Disc Test (CD); inhibition zones for antibiotic discs; ESBL analysis result.</p> <p>3. ERIC PCR Locus Molecular Weight.xlsx - frequency of occurrence of fragments with specific molecular weights during ERIC-PCR analysis.</p> <p>4. ESBL Positive Strains Characterisation.xlsx - individual results of molecular analyzes of DNA isolated from strains (results of PCR tests, identification by sequencing).</p> <p>5. SimilarityMatrixCorrelation.xlsx - matrix of similarities by calculating Pearson’s correlation coefficient. Pearson’s correlation coefficient was calculated based on the intensity of ethidium bromide fluorescence along normalized migration distances for the two fingerprints. </p> <p>6. similarityMatrixDice.xlsx - matrix of similarities by calculating the Dice coefficient. The Dice coefficient approach, similarities are assessed based on the presence or absence (0/1 values) of bands of the same molecular weight in fingerprint patterns</p>
Developing and Study of on-line Biotoxicity Sensing and Control Unit for Wastewater Treatment, based on a Cell Viability Monitoring Assay
<p>The quality of industrial, municipal or hospital waters varies greatly throughout the days and seasons. Because usually one of the first steps of water treatment plants (WWTPs) is biological treatment (after mechanical cleaning) it is vital that this step operates at full capacity. However, toxic compounds such as antibiotics, which are in use for human consumption or animal agriculture can greatly disrupt this stage of cleaning due to their antibiological nature of operation.</p> <p>Technion has developed a system in which toxicity to bacteria is measured on-line. It is based on following spectral changes in a dye, which is reduced as part of bacterial metabolism, which depends on the level of toxicity. The measured toxicity values are fed to a PID controller, which controls the operation of an AOP reactor.</p> <p>This system was developed as part of "Project O", a H2020 program of the European Commission.</p>
Non-Targeted Screening of Contaminants of Emerging Concern in the Glen Valley Wastewater Treatment Plant, Botswana
<p>All raw data files associated with the manuscript titled "Non-Targeted Screening of Contaminants of Emerging Concern in the Glen Valley Wastewater Treatment Plant, Botswana". These include the quality control samples, blanks and wastewater samples analysed on a waters fusion orbitrap operation in positive mode while aquiring MS/MS data. LC data is also included. </p>
Data from: A novel real-world ecotoxicological dataset of pelagic microbial community responses to wastewater
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Data from: Wastewater pollution differently affects the antibiotic resistance gene pool and biofilm bacterial communities across streambed compartments
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Synthesis and characterization of cyclodextrin-based acrylamide polymer flocculant for adsorbing water-soluble dyes in dye wastewater
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Data from: Priority setting for global WASH challenges in the age of wastewater-based epidemiological surveillance
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Data from: Biofertilizers from wastewater treatment as a potential source of mineral nutrients for growth of amaranth plants
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Testing sunfish as zooplankton control agents for wastewater-algal cultivation: Nutrient, invertebrate, and algae data
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Data from: Stream microbial communities and ecosystem functioning show complex responses to multiple stressors in wastewater
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Protocol for safe, affordable, and reproducible isolation and quantitation of SARS-CoV-2 RNA from wastewater
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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