Luisa Pasti, Elisabetta Nava, Marco Morelli, Silvia Bignami, Francesco Dondi
{"title":"意大利费拉拉地区地表水中农药的GC/MS分析:化学计量学研究","authors":"Luisa Pasti, Elisabetta Nava, Marco Morelli, Silvia Bignami, Francesco Dondi","doi":"10.1002/adic.200790021","DOIUrl":null,"url":null,"abstract":"<p>The development of a network to monitor surface waters is a critical element in the assessment, restoration and protection of water quality. In this study, concentrations of 42 pesticides – determined by GC-MS on samples from 11 points along the Ferrara area rivers – have been analyzed by chemometric tools. The data were collected over a three-year period (2002-2004). Principal component analysis of the detected pesticides was carried out in order to define the best spatial locations for the sampling points. The results obtained have been interpreted in view of agricultural land use. Time series data regarding pesticide contents in surface waters has been analyzed using the Autocorrelation function. This chemometric tool allows for seasonal trends and makes it possible to optimize sampling frequency in order to detect the effective maximum pesticide content.</p>","PeriodicalId":8193,"journal":{"name":"Annali di chimica","volume":"97 5-6","pages":"359-372"},"PeriodicalIF":0.0000,"publicationDate":"2007-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/adic.200790021","citationCount":"3","resultStr":"{\"title\":\"GC/MS Analysis of Pesticides in the Ferrara Area (Italy) Surface Water: A Chemometric Study.\",\"authors\":\"Luisa Pasti, Elisabetta Nava, Marco Morelli, Silvia Bignami, Francesco Dondi\",\"doi\":\"10.1002/adic.200790021\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The development of a network to monitor surface waters is a critical element in the assessment, restoration and protection of water quality. In this study, concentrations of 42 pesticides – determined by GC-MS on samples from 11 points along the Ferrara area rivers – have been analyzed by chemometric tools. The data were collected over a three-year period (2002-2004). Principal component analysis of the detected pesticides was carried out in order to define the best spatial locations for the sampling points. The results obtained have been interpreted in view of agricultural land use. Time series data regarding pesticide contents in surface waters has been analyzed using the Autocorrelation function. This chemometric tool allows for seasonal trends and makes it possible to optimize sampling frequency in order to detect the effective maximum pesticide content.</p>\",\"PeriodicalId\":8193,\"journal\":{\"name\":\"Annali di chimica\",\"volume\":\"97 5-6\",\"pages\":\"359-372\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-04-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1002/adic.200790021\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annali di chimica\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/adic.200790021\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annali di chimica","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/adic.200790021","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
GC/MS Analysis of Pesticides in the Ferrara Area (Italy) Surface Water: A Chemometric Study.
The development of a network to monitor surface waters is a critical element in the assessment, restoration and protection of water quality. In this study, concentrations of 42 pesticides – determined by GC-MS on samples from 11 points along the Ferrara area rivers – have been analyzed by chemometric tools. The data were collected over a three-year period (2002-2004). Principal component analysis of the detected pesticides was carried out in order to define the best spatial locations for the sampling points. The results obtained have been interpreted in view of agricultural land use. Time series data regarding pesticide contents in surface waters has been analyzed using the Autocorrelation function. This chemometric tool allows for seasonal trends and makes it possible to optimize sampling frequency in order to detect the effective maximum pesticide content.