{"title":"在两个示例地点使用现场数据分析进行环境决策和随后的补救。","authors":"L. Splichal, G. DeLullo","doi":"10.1080/10529410052852376","DOIUrl":null,"url":null,"abstract":"One of the major challenges in remediating contaminated sites is having quick access to quality data on which to base remedial decisions as onsite work progresses. Case studies are presented at two Superfund sites where field screening and field analyses are used to provide these data. Emphasis is placed on the importance of high quality field data, as these data are the basis for remedial decisions prior to receipt of offsite laboratory confirmation. The decision-making processes for remediating contaminated soils and structures are presented in addition to project specifics including data quality objectives, field data collection procedures, quality assurance/quality control procedures, and comparisons of the field data with offsite laboratory results.","PeriodicalId":20856,"journal":{"name":"Quality assurance","volume":"16 1","pages":"205-23"},"PeriodicalIF":0.0000,"publicationDate":"2000-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Using field data analysis for environmental decision making and subsequent remediation at two example sites.\",\"authors\":\"L. Splichal, G. DeLullo\",\"doi\":\"10.1080/10529410052852376\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"One of the major challenges in remediating contaminated sites is having quick access to quality data on which to base remedial decisions as onsite work progresses. Case studies are presented at two Superfund sites where field screening and field analyses are used to provide these data. Emphasis is placed on the importance of high quality field data, as these data are the basis for remedial decisions prior to receipt of offsite laboratory confirmation. The decision-making processes for remediating contaminated soils and structures are presented in addition to project specifics including data quality objectives, field data collection procedures, quality assurance/quality control procedures, and comparisons of the field data with offsite laboratory results.\",\"PeriodicalId\":20856,\"journal\":{\"name\":\"Quality assurance\",\"volume\":\"16 1\",\"pages\":\"205-23\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Quality assurance\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/10529410052852376\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Quality assurance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/10529410052852376","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Using field data analysis for environmental decision making and subsequent remediation at two example sites.
One of the major challenges in remediating contaminated sites is having quick access to quality data on which to base remedial decisions as onsite work progresses. Case studies are presented at two Superfund sites where field screening and field analyses are used to provide these data. Emphasis is placed on the importance of high quality field data, as these data are the basis for remedial decisions prior to receipt of offsite laboratory confirmation. The decision-making processes for remediating contaminated soils and structures are presented in addition to project specifics including data quality objectives, field data collection procedures, quality assurance/quality control procedures, and comparisons of the field data with offsite laboratory results.