Evaluation of the Immobilization of Heavy Metals Data Set
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Data is for 9 figures that include raw analyses of heavy metal experiment results including, screening batch tests, FTIR, XRD, pH effects Kinetic batch tests, Isotherm modeling, (Langmuir, Freundlich, Redlich-Peterson), and Column tests. This dataset is associated with the following publication: Wallace, A., C. Su, M. Sexton, and W. Sun. Evaluation of the Immobilization of Co-Existing Heavy Metal Ions of Pb2+, Cd2+, and Zn2+ from Water by Dairy Manure-Derived Biochar: Performance and Reusability. JOURNAL OF ENVIRONMENTAL ENGINEERING. American Society of Civil Engineers (ASCE), Reston, VA, USA, 148(6): 04022021, (2022).
Biochar Pb Bioaccessibility
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Data describes the impact of biochar amendments on soil lead bioaccessibility. It contains the raw soil bioaccessibility information. This dataset is associated with the following publication: Plunkett, S., C. Eckley, T. Luxton, and M. Johnson. The effects of biochar and redox conditions on soil Pb bioaccessibility to people and waterfowl. CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 294: 133675, (2022).
Biochar Pb Bioaccessibility
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Data describes the impact of biochar amendments on soil lead bioaccessibility. It contains the raw soil bioaccessibility information. This dataset is associated with the following publication: Plunkett, S., C. Eckley, T. Luxton, and M. Johnson. The effects of biochar and redox conditions on soil Pb bioaccessibility to people and waterfowl. CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 294: 133675, (2022).
Assessing the efficiency and mechanism of zinc adsorption onto biochars from poultry litter and ligneous materials
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The zinc concentrations and pH measurement from batch experiments with varied pH and biochar amounts. Additionally, solid phase sample analyses results from both XRD and XANES are included. This dataset is associated with the following publication: O'Connor , K.F., S.R. Al-Abed, S. Horden, and P.X. Pinto. Assessing the efficiency and mechanism of zinc adsorption onto biochars from poultry litter and softwood feedstocks. Bioresource Technology Reports. Elsevier B.V., Amsterdam, NETHERLANDS, 18: 101039, (2022).
Equilibrium and kinetic sorption of heavy metals by poultry litter biochar: pH-dependency and modeling
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[4:05 PM] Reed, Coral Biochars with high phosphate (P) contents are promising amendments to remediate metal-contaminated soils due to their ability to form stable metal-P precipitates. However, their performance is usually assessed at a single pH. This study investigated the sorption of Pb, Cu, Zn, Cd, and Ni by poultry litter (PL) biochar across a pH range using sorption edge, isotherm, and kinetics experiments. Metal sorption was strongly pH-dependent with increased sorption at higher pH. The affinity of the PL biochar for the metals decreased in the order of Pb>>Cu>Zn>Cd>Ni. In all cases, ≤21% of the sorbed metals were exchangeable, indicating that stable metal-biochar associations were formed. Sorption kinetics experiments demonstrated that reaction rates were slower at pH 4.5 than 6.5 for Pb, Cu, and Cd whereas those for Zn and Ni were unaffected by pH. The results suggested that metal-P precipitation was favored for Cu, Cd, and Zn at pH≥5.5, or Pb at any pH. This indicates that PL-derived biochars can be effective amendments for contaminated soils given that the soils are not too acidic. Experimental data were described using a pH-dependent Freundlich-type isotherm and its kinetic analog. Sorption edges and isotherms were reasonably described for Pb, Zn, Cd, and Ni (r2≥0.83). Kinetics data were best described using model parameters obtained from sorption edge experiments due to similarities between the input metal concentrations. This modeling approach has superior descriptive capabilities than traditional empirical approaches while maintaining relative simplicity. Moreover, pH-dependent equilibrium and kinetic sorption can be described using a single set of parameters. This dataset is associated with the following publication: Padilla, J.T., D. Watts, A.A. Szogi, and M. Johnson. Evaluation of a pH- and time-dependent model for the sorption of heavy metal cations by poultry litter-derived biochar. CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 347: 140688, (2024).
Equilibrium and kinetic sorption of heavy metals by poultry litter biochar: pH-dependency and modeling
공공데이터포털
[4:05 PM] Reed, Coral Biochars with high phosphate (P) contents are promising amendments to remediate metal-contaminated soils due to their ability to form stable metal-P precipitates. However, their performance is usually assessed at a single pH. This study investigated the sorption of Pb, Cu, Zn, Cd, and Ni by poultry litter (PL) biochar across a pH range using sorption edge, isotherm, and kinetics experiments. Metal sorption was strongly pH-dependent with increased sorption at higher pH. The affinity of the PL biochar for the metals decreased in the order of Pb>>Cu>Zn>Cd>Ni. In all cases, ≤21% of the sorbed metals were exchangeable, indicating that stable metal-biochar associations were formed. Sorption kinetics experiments demonstrated that reaction rates were slower at pH 4.5 than 6.5 for Pb, Cu, and Cd whereas those for Zn and Ni were unaffected by pH. The results suggested that metal-P precipitation was favored for Cu, Cd, and Zn at pH≥5.5, or Pb at any pH. This indicates that PL-derived biochars can be effective amendments for contaminated soils given that the soils are not too acidic. Experimental data were described using a pH-dependent Freundlich-type isotherm and its kinetic analog. Sorption edges and isotherms were reasonably described for Pb, Zn, Cd, and Ni (r2≥0.83). Kinetics data were best described using model parameters obtained from sorption edge experiments due to similarities between the input metal concentrations. This modeling approach has superior descriptive capabilities than traditional empirical approaches while maintaining relative simplicity. Moreover, pH-dependent equilibrium and kinetic sorption can be described using a single set of parameters. This dataset is associated with the following publication: Padilla, J.T., D. Watts, A.A. Szogi, and M. Johnson. Evaluation of a pH- and time-dependent model for the sorption of heavy metal cations by poultry litter-derived biochar. CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 347: 140688, (2024).
LCF datatables for Cd speciation distribution
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Linear combination datatables showing the distribution of Cd speciation upon sorption to biochar. This dataset is associated with the following publication: Cuj, L., M. Noerpel, K. Scheckel, and J. Ippolito. Wheat straw biochar reduces environmental cadmium bioavailability. ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam, NETHERLANDS, 126: 69-75, (2019).
LCF datatables for Cd speciation distribution
공공데이터포털
Linear combination datatables showing the distribution of Cd speciation upon sorption to biochar. This dataset is associated with the following publication: Cuj, L., M. Noerpel, K. Scheckel, and J. Ippolito. Wheat straw biochar reduces environmental cadmium bioavailability. ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam, NETHERLANDS, 126: 69-75, (2019).
수도권매립지관리공사 시험분석 MTH IM채취보관방법
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환경 분석 시료의 보존 방법 및 기간 제공(과거) 제공항목은 시험방법 일련번호, 채취 보관 일련번호, 채취 및 보존, 시료용기, 보존방법, 최대보존기간, 사용 여부, 최종 변경 일시 항목을 제공합니다.
Lead and Arsenic X-ray absorption spectral models fit as linear combination of known standards
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In this study, smelter contaminated soil was treated with various soil amendments (ferric sulphate [Fe2(SO4)3], triple superphosphate [TSP] and biochar) to determine their efficacy in immobilizing soil lead (Pb) and arsenic (As). XAS were collected on soils and mine waste materials at the Materials Research Collaborative Access Team 10-BM for As and 10-ID for Pb, Advanced Photon Source at Argonne National Laboratory. Arsenic XAS data collection at 10-BM was measured at the As K edge (11867 eV) using a 4-element Vortex fluorescence detector. Four layers of aluminum foil to filter out background fluorescence from iron and other elements in the samples. Three to five step scans were collected in fluorescence by Vortex detector at 45° incident to sample and down beam transmission on energy calibration standard. Energy was calibrated to set at the 1st derivative inflection point zero of sodium arsenate standard to 11874 eV. Data were then background subtracted and converted to k space for EXAFS region analysis. Data processed for EXAFS analysis were k3-weighted and all e0 set to 11870 eV for uniform k range start energy. Spline range was 0.5-12 k. Lead XAS data collection at 10-ID utilized a Si(111) mono to tune energy to the Pb L3-edge (13035 eV). Samples were measured in fluorescence using a Mirion-Canberra 7-element Ge detector at 45° incident to the sample. For each sample, three to five scans were collected in both transmission and fluorescence mode with a Pb foil for reference sample. Calibration was performed by assigning the first derivative inflection point of Pb foil scan to 13035 eV. Analysis of Pb spectra utilized LCF of the 1st derivative norm(E) from -20 to 80 eV from e0, constraints of all weights between 0 and 1 and sum of weights normalized to 1. Standards were sequentially removed based on statistical improvement of fit. Components contributing less than ten percent were removed, followed by refitting with remaining components. The combination of standards resulting in the lowest R-factor results for each sample was reported. Arsenic spectra were analyzed LCF utilizing the EXAFS range of spectra. Preliminary data checking indicated As oxidation states of all samples contained only AsV as confirmed by matching edge position with the sodium arsenate pellet used for energy calibration. As EXAFS range were utilized for quantitative speciation from a k-range of 3-10 Å-1. This dataset is associated with the following publication: Alankarage, D., A. Betts, K.G. Scheckel, C. Herde, M. Cavallaro, and A.L. Juhasz. Remediation options to reduce bioaccessible and bioavailable lead and arsenic at a smelter impacted site - consideration of treatment efficacy. ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 341: 122881, (2024).