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Aiming at the characteristics of complex sources and scattered emissions of antibiotics, a method for estimating antibiotic emissions was established. Based on the population and the number of livestock and poultry in the basin, the antibiotic emissions in different regions were obtained by combining the consumption coefficients of different organisms and the sewage treatment rate. Using the emission loads as the input data, the semi-distributed hydrological model-SWAT model was established to simulate the ciprofloxacin (CFX) and sulfamethazine (SMZ) in the middle and upper reaches of the Huaihe River. The results showed that the livestock breeding scale, regional population, sewage treatment capacity and large-scale management measures are the main influencing factors of antibiotic emissions in each city. The results of model validation showed that the simulated concentrations of CFX and SMZ are basically in the same order of magnitude as the monitoring values, with the good accuracy. In summer, the concentrations of CFX in the main channels of Huaihe River were almost all lower than 7.26ng/L. And in winter, the concentrations of CFX in the main channels of Huaihe River almost all were lower than 190.3ng/L. In summer, the concentrations of SMZ in the main channels of Huaihe River almost all were lower than 8.7ng/L, while in winter, the concentrations of SMZ in the main channels of Huaihe River almost all were lower than 38.11ng/L.

, authors=Yan-fei QIU¹, Lei WANG^{1, *}, Bing ZHANG², Lei WANG², authorsList=Yan-fei QIU, Lei WANG, Bing ZHANG, Lei WANG, authorCompany=null, correspAuthors=Lei WANG, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1314917807796613500, articleId=1314917806999695737, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=基于SWAT模型对抗生素点源污染分布特征的研究——以淮河中上游为例, columnId=1314917798195856342, journalTitle=中国环境科学, columnName=新污染物与毒理, runingTitle=null, highlight=null, articleAbstract=

针对抗生素的来源复杂且排放分散的特点建立了一种抗生素排放量估算的方法，基于流域内人口和畜禽数量，结合不同生物的消耗系数、污水处理率等获得不同区域的抗生素排放量．将排放量作为输入数据，采用半分布式水文模型—SWAT模型，以淮河中上游流域中环丙沙星（CFX）和磺胺二甲嘧啶（SMZ）作为研究对象进行模拟．结果表明，畜牧业的养殖数量、区域人口数量、污水处理能力和畜禽规模化养殖是各市区抗生素排放量的主要影响因素；模型验证结果显示，CFX、SMZ浓度模拟结果与监测值模拟值基本在同一量级，模拟值较好．夏季淮河主河道CFX浓度大部分处于7.26ng/L以下，在冬季河道CFX浓度大部分处于190.3ng/L以下；夏季淮河主河道SMZ浓度大部分处于8.7ng/L以下，而在冬季河道SMZ浓度大部分处于38.11ng/L以下．

, authors=秋妍飞¹, 王雷^{1, *}, 张冰², 王蕾², authorsList=秋妍飞, 王雷, 张冰, 王蕾, authorCompany=null, correspAuthors=王雷, authorNote=, correspAuthorsNote=, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=+cXkUsuzyWnY67zs4cnfTg==, magXml=xP9kLAN9JdoiiIKWuSvOGA==, pdfUrl=null, pdf=3vwajoVoqL6W/QTVoLPtAw==, pdfFileSize=3705099, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=FsiASLHa3OXQdvDdGjYL/A==, mapNumber=null, fund=null)}, authors=[Author(id=1314917808157323652, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314917806999695737, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=15291043870@163.com, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1314917808228626822, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314917806999695737, authorId=1314917808157323652, language=EN, stringName=Yan-fei QIU, firstName=Yan-fei, middleName=null, lastName=QIU, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.School of Environmental Science and Engineering, Nanjing Tech University, Nanjing 210000, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1314917808312512903, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314917806999695737, authorId=1314917808157323652, language=CN, stringName=秋妍飞, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=¹, address=^1.南京工业大学环境科学与工程学院，江苏 南京 210000, bio={"content":"

秋妍飞（2000-），男，陕西咸阳人，南京工业大学硕士研究生，主要从事污染物环境归趋模拟研究．15291043870@163.com.

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秋妍飞（2000-），男，陕西咸阳人，南京工业大学硕士研究生，主要从事污染物环境归趋模拟研究．15291043870@163.com.

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