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Goswami A, Adkins-Jablonsky SJ, Barreto Filho MM, Shilling MD, Dawson A, Heiser S, O’Connor A, Walker M, Roberts Q, Morris JJ. Heavy Metal Pollution Impacts Soil Bacterial Community Structure and Antimicrobial Resistance at the Birmingham 35th Avenue Superfund Site. Microbiol Spectr 2023; 11:e0242622. [PMID: 36951567 PMCID: PMC10101053 DOI: 10.1128/spectrum.02426-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 02/23/2023] [Indexed: 03/24/2023] Open
Abstract
Heavy metals (HMs) are known to modify bacterial communities both in the laboratory and in situ. Consequently, soils in HM-contaminated sites such as the U.S. Environmental Protection Agency (EPA) Superfund sites are predicted to have altered ecosystem functioning, with potential ramifications for the health of organisms, including humans, that live nearby. Further, several studies have shown that heavy metal-resistant (HMR) bacteria often also display antimicrobial resistance (AMR), and therefore HM-contaminated soils could potentially act as reservoirs that could disseminate AMR genes into human-associated pathogenic bacteria. To explore this possibility, topsoil samples were collected from six public locations in the zip code 35207 (the home of the North Birmingham 35th Avenue Superfund Site) and in six public areas in the neighboring zip code, 35214. 35027 soils had significantly elevated levels of the HMs As, Mn, Pb, and Zn, and sequencing of the V4 region of the bacterial 16S rRNA gene revealed that elevated HM concentrations correlated with reduced microbial diversity and altered community structure. While there was no difference between zip codes in the proportion of total culturable HMR bacteria, bacterial isolates with HMR almost always also exhibited AMR. Metagenomes inferred using PICRUSt2 also predicted significantly higher mean relative frequencies in 35207 for several AMR genes related to both specific and broad-spectrum AMR phenotypes. Together, these results support the hypothesis that chronic HM pollution alters the soil bacterial community structure in ecologically meaningful ways and may also select for bacteria with increased potential to contribute to AMR in human disease. IMPORTANCE Heavy metals cross-select for antimicrobial resistance in laboratory experiments, but few studies have documented this effect in polluted soils. Moreover, despite decades of awareness of heavy metal contamination at the EPA Superfund site in North Birmingham, Alabama, this is the first analysis of the impact of this pollution on the soil microbiome. Specifically, this work advances the understanding of the relationship between heavy metals, microbial diversity, and patterns of antibiotic resistance in North Birmingham soils. Our results suggest that polluted soils carry a risk of increased exposure to antibiotic-resistant infections in addition to the direct health consequences of heavy metals. Our work provides important information relevant to both political and scientific efforts to advance environmental justice for the communities that call Superfund neighborhoods home.
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Affiliation(s)
- Anuradha Goswami
- Department of Biology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Sarah J. Adkins-Jablonsky
- Department of Biology, University of Alabama at Birmingham, Birmingham, Alabama, USA
- Alabama College of Osteopathic Medicine, Dothan, Alabama, USA
| | | | - Michelle D. Shilling
- Department of Biology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Alex Dawson
- Department of Biology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Sabrina Heiser
- Department of Biology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Aisha O’Connor
- Department of Biology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Melissa Walker
- Department of Biology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Qutia Roberts
- Department of Biology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - J. Jeffrey Morris
- Department of Biology, University of Alabama at Birmingham, Birmingham, Alabama, USA
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Yu J, Luo H, Yang B, Wang M, Gong Y, Wang P, Jiao Y, Liang T, Cheng H, Ma F, Gu Q, Li F. Risk Control Values and Remediation Goals for Benzo[ a]pyrene in Contaminated Sites: Sectoral Characteristics, Temporal Trends, and Empirical Implications. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:2064-2074. [PMID: 36695743 DOI: 10.1021/acs.est.2c09553] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Benzo[a]pyrene (BaP) is a highly carcinogenic pollutant of global concern. There is a need for a comprehensive assessment of regulation decisions for BaP-contaminated site management. Herein, we present a quantitative evaluation of remediation decisions from 206 contaminated sites throughout China between 2011 and 2021 using the cumulative distribution function (CDF) and related statistical methodologies. Generally, remediation decisions seek to establish remediation goals (RGs) based on the risk control values (RCVs). Cumulative frequency distributions, followed non-normal S-curve, emerged multiple nonrandom clusters. These clusters are consistent with regulatory guidance values (RGVs), of national and local soil levels in China. Additionally, priority interventions for contaminated sites were determined by prioritizing RCVs and identifying differences across industrial sectors. Notably, we found that RCVs and RGs became more relaxed over time, effectively reducing conservation and unsustainable social and economic impacts. The joint probability curve was applied to model decision values, which afforded a generic empirically important RG of 0.57 mg/kg. Overall, these findings will help decision-makers and governments develop appropriate remediation strategies for BaP as a ubiquitous priority pollutant.
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Affiliation(s)
- Jingjing Yu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing100012, China
- College of Water Science, Beijing Normal University, Beijing100875, China
| | - Huilong Luo
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing100012, China
- College of Water Science, Beijing Normal University, Beijing100875, China
| | - Bin Yang
- Technical Center for Soil, Agriculture and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing100012, China
| | - Minghao Wang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing100012, China
- School of Environment, Tsinghua University, Beijing100084, China
| | - Yiwei Gong
- College of Water Science, Beijing Normal University, Beijing100875, China
| | - Panpan Wang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing100012, China
- College of Water Science, Beijing Normal University, Beijing100875, China
| | - Yufang Jiao
- Beijing Jiewei Science and Technology Limited Company, Beijing100012, China
| | - Tian Liang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing100012, China
- College of Water Science, Beijing Normal University, Beijing100875, China
| | - Hongguang Cheng
- College of Water Science, Beijing Normal University, Beijing100875, China
| | - Fujun Ma
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing100012, China
| | - Qingbao Gu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing100012, China
| | - Fasheng Li
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing100012, China
- College of Water Science, Beijing Normal University, Beijing100875, China
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Wu Y, Zhao W, Ma J, Liu Y, Pei T, Liu Q, Chen H, Qu Y, Tian Y. Human health risk-based soil environmental criteria (SEC) for park soil in Beijing, China. ENVIRONMENTAL RESEARCH 2022; 212:113384. [PMID: 35561823 DOI: 10.1016/j.envres.2022.113384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Revised: 04/23/2022] [Accepted: 04/26/2022] [Indexed: 06/15/2023]
Abstract
Urban parks are important places that allow urban residents to experience nature but are also associated with the risk of exposure to contaminated soil. Therefore, it is necessary to establish appropriate soil environment criteria (SEC) to manage park soil quality. Studies on the demographic characteristics and behavioral patterns of urban park visitors are helpful for the selection of sensitive receptors and the determination of parameters in the establishment of SEC. This study explored the park visitors' demographic characteristics and behavioral patterns, and applied the results to derive SEC. Eighty-six parks in Beijing were selected, and mobile phone data were obtained to analysis the demographic characteristics and residence time of the visitors. Kruskal-Wallis test, kernel density estimation and random forest model were used for data analysis. The CLEA model was used to derive SEC. The results showed that the demographic characteristics and behavioral patterns of visitors in different types of parks were quite different. Parks were mostly used by males and visitors aged 31-45. Most visitors stayed in the park for 1-2 h, and the distance from a given visitor's home to the park was the most important factor affecting stay time. Then, several parameters such as the parameters related to the receptors and occupation period were optimized, and the SEC of sensitive parks and non-sensitive parks were derived. Exposure frequency may be the main reason for the difference of SEC between the two types of parks. The SECs of sensitive parks were higher than the soil screening values (SSVs) for class 1 land in GB36600-2018, indicating that the current SSVs for some parks may be too conservative. This study provides a reference for the formulation and revision of soil environmental standards for park land, and suggests strengthening research on human behavioral patterns.
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Affiliation(s)
- Yihang Wu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Wenhao Zhao
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Jin Ma
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
| | - Yaxi Liu
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, 100101, China
| | - Tao Pei
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, 100101, China
| | - Qiyuan Liu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Haiyan Chen
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Yajing Qu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Yuxin Tian
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
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Li Z. New implication of pesticide regulatory management in soils: Average vs ceiling legal limits. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 818:151705. [PMID: 34793794 DOI: 10.1016/j.scitotenv.2021.151705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 10/14/2021] [Accepted: 11/11/2021] [Indexed: 06/13/2023]
Abstract
To help regulatory agencies better interpret pesticide soil standards (PSSs) and promote pesticide soil regulations, this study revealed new PSS implications by introducing the average (i.e., PSSAC) and ceiling (i.e., PSSCC) legal limits of pesticides. The PSSAC indicates the average legal limit of a pesticide in the soil over a duration (e.g., annual or monthly average), ensuring that no adverse human health effects can occur. The PSSCC indicates the ceiling legal limit that cannot be exceeded by pesticide concentrations in the soil, which was introduced to comply with pesticide application in real-world scenarios. We introduced the regulatory ceiling factor (RCF) to screen whether a pesticide in the surface soil could be regulated using the PSSAC and PSSCC values. The results indicated that except for some pesticides with high lipophilicity and low degradability (e.g., legacy pesticides), many pesticides were eligible to be regulated by both average and ceiling legal limits. In addition, we conducted a case study to evaluate chlorpyrifos soil standards via a four-step regulatory procedure; the results indicated that our new interpretation using the simulated PSSAC and PSSCC values of chlorpyrifos demonstrated that most current chlorpyrifos soil standards can protect population health, which is in contrast to the findings of current regulatory studies. Furthermore, based on the new implication of PSSs interpreted in this study, we recommend that regulatory agencies clarify PSSs to avoid confusion and promote cost-efficient remediations, and recommend improving the regulatory communication between environmental agencies and pesticide manufacturers to define a comprehensive policy integrating PSSs and application patterns.
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Affiliation(s)
- Zijian Li
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong 518107, China.
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Li Z, Fantke P. Toward harmonizing global pesticide regulations for surface freshwaters in support of protecting human health. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022; 301:113909. [PMID: 34624580 DOI: 10.1016/j.jenvman.2021.113909] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 10/03/2021] [Accepted: 10/03/2021] [Indexed: 06/13/2023]
Abstract
To promote international collaboration on environmental pollution management and human health protection, we conducted a global-level study on the management of pesticides for surface freshwater quality. Prior to actions being taken in terms of water treatment or remediation, it is essential that clear and definite regulations be disseminated. In our study, 3094 surface freshwater quality standards for 184 different pesticides were recorded from 53 countries and categorized according to pesticide types and standard types, as well as diverse use of freshwater by humans, and compared water quality standards related to human health. Our results indicate large variations in pesticide regulations, standard types (i.e., long- or short-term water quality standards), and related numerical values. With regard to the protection of human health, the 10 most frequently regulated pesticides account for approximately 47% of the total number of standards across 184 considered pesticides. The average occurrence-weighted variations of standard values (i.e., numerical values provided in a standard in terms of residue limits of a given pesticide in water) for the 20 most regulated persistent organic pollutants (POPs) and other phase-out pesticides (i.e., pesticides not currently-approved for use in agriculture across various countries) are 4.1 and 2.6 orders of magnitude, respectively, with human-exposure related standard values for some pesticides varying with over 3 orders of magnitude (e.g., lindane). In addition, variations in water quality standard values occurred across standard types (e.g., maximum and average), water use types (e.g., unspecified waters and human consumption), and standard values (e.g., pesticide individuals and groups). We conclude that regulatory inconsistencies emphasize the need for international collaboration on domestic water treatment, environmental management as well as specific water quality standards for the wider range of current-use pesticides, thereby improving global harmonization in support of protecting human health.
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Affiliation(s)
- Zijian Li
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, 518107, China.
| | - Peter Fantke
- Quantitative Sustainability Assessment, Department of Technology, Management and Engineering, Technical University of Denmark, 2800, Kgs, Lyngby, Denmark
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Li Z, Niu S. Improving screening model of pesticide risk assessment in surface soils: Addressing regional specific human exposure risks and regulatory management. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2021; 227:112894. [PMID: 34653939 DOI: 10.1016/j.ecoenv.2021.112894] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 09/28/2021] [Accepted: 10/09/2021] [Indexed: 06/13/2023]
Abstract
In this study, a simple screening approach was proposed to evaluate region-specific population health risks of soil pesticides, which was achieved by introducing region-specific factors of pesticides, including fate factors (FFs), environmental distribution factors (DFs), and intake factors (IFs). These region-specific factors were characterized using simple weather variables and calculated the characterization factors (CFs) to link pesticide emissions to population exposure risks. The CF at the reference state indicates the potential of a pesticide entering the human body. Simulations for over 700 pesticides showed that pesticides that are thermodynamically stable in soil organics have large CFs. In addition, we conducted a case study on the region-specific risk assessment of malathion in the United States. The results indicated that colder regions have larger CFs of malathion than those of the warmer regions due to the large FF values for the same emission rates. However, from a regulatory perspective, colder regions should have less strict malathion soil standards than those of warmer regions as children in colder regions spend limited time outdoors. Although other region-specific factors such as soil type and population density need to be considered to improve the model, the approach proposed in this study can be used as a simple screening tool to evaluate region-specific population health risks and manage soil residues for different regions.
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Affiliation(s)
- Zijian Li
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong 518107, China.
| | - Shan Niu
- Department of Chemistry and Biochemistry, Utah State University, Logan, UT 84322, United States; Department of Civil & Environmental Engineering, University of Pittsburgh, Pittsburgh, PA 15260, United States
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7
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Li Z. PBCLM: A top-down causal modeling framework for soil standards and global sustainable agriculture. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2020; 263:114404. [PMID: 32224386 DOI: 10.1016/j.envpol.2020.114404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Revised: 03/16/2020] [Accepted: 03/17/2020] [Indexed: 06/10/2023]
Abstract
To help countries worldwide regulate agricultural soil standards for organic contaminants, this study developed the pastoral-based chemical lifecycle management (PBCLM) modeling framework, which comprehensively models the bottom-up causation of the chemicals' lifecycle at each level of the cattle industry and delivers top-down regulatory strategies. The lifecycle models for a total of 308 hydrophobic organic contaminants were constructed. The results indicated that the octanol-water partitioning coefficient (log KOW) values had the greater impact on the unit-legal-limit-based concentrations for contaminants at the producer level (i.e., grass) or higher. In addition, the analysis of the weather variables indicated that pastoral farming in warmer and drier places might lead to the bioaccumulation of more contaminants. By comparing the reference legal limits that were derived by the PBCLM, current soil standards might not be effective in protecting human health or harmonizing downstream food regulations. The PBCLM can help regulatory agencies better promulgate soil regulations to ensure sustainable agriculture.
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Affiliation(s)
- Zijian Li
- School of Public Health (Shenzhen), Sun Yat-sen University, Guangdong, 510275, China.
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8
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Shi J, McGill WB, Chen N, Rutherford PM, Whitcombe TW, Zhang W. Formation and Immobilization of Cr(VI) Species in Long-Term Tannery Waste Contaminated Soils. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2020; 54:7226-7235. [PMID: 32432861 DOI: 10.1021/acs.est.0c00156] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Chromium speciation in naturally contaminated soils appears more complex than spiked studies have shown. This study characterized Cr speciation (oxidation states; availability; molecular geometry) intended to highlight the genesis of immobile Cr(VI) species in long-term tannery waste-contaminated soils. In a series of samples obtained from Shuitou in China, chemical extraction methods showed that Cr(III) was dominant(>96.7% of total Cr), with Cr(VI) concentration up to 144 mg kg-1. Of the total Cr(VI) present, immobile Cr(VI) represents >90%. Synchrotron-based X-ray near-edge structure spectroscopy (XANES) showed the occurrence of Cr(VI), which was not removed by phosphate buffer extraction, confirming a significant amount of immobile Cr(VI) fractions in soils. X-ray fluorescence maps exhibited the heterogeneous distribution of Cr in soils associated with both Mn and Fe. Such a distribution suggests Cr(III) oxidation to Cr(VI) by Mn oxides and a possible immobilization of both Cr(III) and Cr(VI) onto Fe (hydr)oxides. Linear combination fitting of XANES spectra revealed that fractional weights (%) in samples were CrFeO3 (49.3-53.6), CrOOH (22.3-30.8), and CaCrO4 (13.2-25.3). Our results demonstrate that (i) Cr(VI) is immobilized in soils and (ii) mechanisms of Cr(VI) immobilization are CaCrO4 precipitation and recrystallization with Fe (hydr)oxides.
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Affiliation(s)
- Jingjing Shi
- Natural Resources and Environmental Studies Graduate Program, University of Northern British Columbia, Prince George, British Columbia V2N 4Z9, Canada
| | - William B McGill
- Ecosystem Science & Management Program, University of Northern British Columbia, Prince George, British Columbia V2N 4Z9, Canada
| | - Ning Chen
- Canadian Light Source, Inc., Saskatoon, Saskatchewan S7N 2V3, Canada
| | - P Michael Rutherford
- Environmental Science Program, University of Northern British Columbia, Prince George, British Columbia V2N 4Z9, Canada
| | - Todd W Whitcombe
- Chemistry Program, University of Northern British Columbia, Prince George, British Columbia V2N 4Z9, Canada
| | - Wei Zhang
- School of Energy and Power Engineering, Changsha University of Science & Technology, Changsha CN 410114, P.R. China
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Li W, Li Z, Jennings A. Regulatory performance dataset constructed from U.S. soil jurisdictions based on the top 100 concerned pollutants. Data Brief 2018; 21:36-49. [PMID: 30338272 PMCID: PMC6186953 DOI: 10.1016/j.dib.2018.09.049] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2018] [Revised: 08/21/2018] [Accepted: 09/19/2018] [Indexed: 11/23/2022] Open
Abstract
The regulatory performance dataset based on the standard-value-based comparison tool was summarized in this Data in Brief. The dataset includes the identified top 100 concerned soil pollutants, the computed C2-C5 regulatory performance scores for each state soil jurisdiction, and the reference sources of the soil regulatory guidance values (RGVs). A total of 20 elements, seven cyanides, five halogenated methanes, seven chloroethanes and choroethenes, 12 benzenes, eight phenols, eight carcinogenic PAHs, eight noncarcinogenic PAHs, nine historically used pesticides, 12 currently used pesticides, and nine miscellaneous pollutants were selected as the top 100 concerned pollutants. Four comparison scores simulated from state soil regulations can be directly applied and compared with the U.S. Environmental Protection Agency to quantify the regulatory performance.
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Affiliation(s)
- Wenbiao Li
- Department of Civil Engineering, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Zijian Li
- Department of Civil Engineering, Case Western Reserve University, Cleveland, OH 44106, USA
- Parsons Corporation, Chicago, IL 60606, USA
| | - Aaron Jennings
- Department of Civil Engineering, Case Western Reserve University, Cleveland, OH 44106, USA
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Shao Y, Yang K, Jia R, Tian C, Zhu Y. Degradation of Triclosan and Carbamazepine in Two Agricultural and Garden Soils with Different Textures Amended with Composted Sewage Sludge. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:E2557. [PMID: 30441878 PMCID: PMC6267568 DOI: 10.3390/ijerph15112557] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/08/2018] [Revised: 10/26/2018] [Accepted: 11/01/2018] [Indexed: 01/22/2023]
Abstract
Composted sewage sludge (CSS) has been extensively used in agriculture and landscaping, offering a practical solution for waste disposal. However, some pharmaceutical and personal care products (PPCPs) like triclosan (TCS) and carbamazepine (CBZ) have restricted its land application. In this study, CSS was added to agricultural soil and garden soil at 0%, 5%, 10%, and 25% (w/w soil), and 4 mL of TCS and CBZ stock solution (1000 mg/L in methanol) was spiked into soil amended with CSS of each bottle to arrive at the concentration of 10 mg/kg. Samples were then collected after incubation for 120 days and analyzed for concentrations and half-life (t1/2) of TCS and CBZ, and soil physicochemical properties, together with enzyme activities. The results showed that TCS was degraded completely during the incubation period. In contrast, only about 5.82⁻21.43% CBZ was degraded. CSS amendment inhibited TCS and CBZ degradation and prolonged t1/2 compared to the control, and the t1/2 of TCS and CBZ increased with CSS addition amount in all treatments except for CBZ in the garden soil amended with 10% CSS. Correlation studies showed a significantly positive relationship between t1/2 of TCS and CBZ and total organic carbon (TOC), while a significantly negative relationship between t1/2 of the two PPCPs and pH was observed. Alkaline phosphatase showed a significantly negative relationship with the Ct/C₀ of TCS in garden soil amended with 25% CSS and CBZ in the control. The urease activity was negatively correlated with the Ct/C₀ of TCS in 10% and 25% CSS treatments and CBZ in 10% CSS treatment for garden soil.
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Affiliation(s)
- Yanqiu Shao
- Advanced Materials Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, China.
| | - Kai Yang
- Advanced Materials Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, China.
- Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China.
| | - Rongchang Jia
- Chemical Technology Academy of Shandong, Qingdao University of Science and Technology, Jinan 250014, China.
| | - Chao Tian
- Advanced Materials Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, China.
| | - Ying Zhu
- Advanced Materials Institute, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, China.
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