Uncertainty-based concentration estimation of chlortetracycline antibiotics in swine farms and risk probability assessment for agricultural application of manure
DC Field | Value | Language |
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dc.contributor.author | Lee, Changmin | - |
dc.contributor.author | An, Jinsung | - |
dc.contributor.author | Lee, Young Su | - |
dc.contributor.author | Choi, Kyungho | - |
dc.contributor.author | Kim, Jae Young | - |
dc.date.accessioned | 2023-08-16T07:30:45Z | - |
dc.date.available | 2023-08-16T07:30:45Z | - |
dc.date.issued | 2021-01 | - |
dc.identifier.issn | 0304-3894 | - |
dc.identifier.issn | 1873-3336 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/113763 | - |
dc.description.abstract | Consideration of livestock farming practices is necessary for the reliable prediction of veterinary antibiotics concentrations in livestock manure and soil and characterization of their ecological risks. This study aims to predict concentrations of chlortetracycline (CTC) generated from slurry pit and evaluate its ecological risk in soil based on the European Medicine Agency guidelines by considering slurry pit farm practices such as cleaning water volume and those uncertainties. Additionally, sensitivity analysis was conducted on the exposure estimation of CTC in soil employing the Monte Carlo simulation. The predicted environmental concentrations of CTC in the slurry pit and soil were in a range of 0.54–5.64 mg/kgmanure and 3.42–67.59 μg/kgsoil, respectively, for a 90 % confidence level. The predicted ranges included the measured values reported in previous studies. The probability of risk quotient (RQ) exceeding one was estimated at 9.3 % based on the Monte Carlo simulation. The four most influential factors on the exposure to CTC in soil were identified as nitrogen in fertilizer/compost, cleaning water volume, ratio of sick pigs requiring antibiotics, and pit emptying cycles. The results indicate that the ecological risk of CTC in the soil is possible and can be controlled by slurry pit farm practices. © 2020 The Authors | - |
dc.format.extent | 8 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Elsevier BV | - |
dc.title | Uncertainty-based concentration estimation of chlortetracycline antibiotics in swine farms and risk probability assessment for agricultural application of manure | - |
dc.type | Article | - |
dc.publisher.location | 네델란드 | - |
dc.identifier.doi | 10.1016/j.hazmat.2020.123763 | - |
dc.identifier.scopusid | 2-s2.0-85091116402 | - |
dc.identifier.wosid | 000593828900002 | - |
dc.identifier.bibliographicCitation | Journal of Hazardous Materials, v.402, pp 1 - 8 | - |
dc.citation.title | Journal of Hazardous Materials | - |
dc.citation.volume | 402 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 8 | - |
dc.type.docType | 정기학술지(Article(Perspective Article포함)) | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Environmental Sciences & Ecology | - |
dc.relation.journalWebOfScienceCategory | Engineering, Environmental | - |
dc.relation.journalWebOfScienceCategory | Environmental Sciences | - |
dc.subject.keywordPlus | PREDICTED ENVIRONMENTAL CONCENTRATION | - |
dc.subject.keywordPlus | VETERINARY ANTIBIOTICS | - |
dc.subject.keywordPlus | TETRACYCLINE ANTIBIOTICS | - |
dc.subject.keywordPlus | LIQUID-CHROMATOGRAPHY | - |
dc.subject.keywordPlus | ANAEROBIC-DIGESTION | - |
dc.subject.keywordPlus | RESIDUES | - |
dc.subject.keywordPlus | FATE | - |
dc.subject.keywordPlus | PHARMACEUTICALS | - |
dc.subject.keywordPlus | SULFONAMIDES | - |
dc.subject.keywordPlus | MEDICINES | - |
dc.subject.keywordAuthor | Ecological hazard | - |
dc.subject.keywordAuthor | Livestock manure | - |
dc.subject.keywordAuthor | Monte Carlo simulation | - |
dc.subject.keywordAuthor | Risk assessment | - |
dc.subject.keywordAuthor | Veterinary antibiotics | - |
dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S0304389420317520?pes=vor | - |
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