Đánh giá chất lượng dữ liệu Các dữ liệu đánh giá chất lượng hạn (DQA) đề cập đến quá trình năm bước EPA (EPA, 1998) cung cấp một so sánh các phương pháp lấy mẫu thực hiện và kết quả phân tích dữ liệu đối với việc lấy mẫu, chất lượng dữ liệu, và các yêu cầu khả năng chịu lỗi theo quy định của các DQOs (Mục ). Hình xác định mỗi năm bước mà làm cho quá trình DQA. Kết quả từ DQA được sử dụng để xác định có hay không giả thuyết (trang web là giả. | CHAPTER 8 Data Quality Assessment The term data quality assessment DQA refers to the five-step EPA process EPA 1998 that provides a comparison of the implemented sampling approach and resulting analytical data against the sampling data quality and error tolerance requirements specified by the DQOs Section . Figure identifies each of the five steps that make up the DQA process. The results from the DQA are used to determine whether or not the null hypothesis site is assumed to be contaminated until shown to be clean can be rejected so that the site or facility can be considered clean having met the remedial action goals . Note that rejecting the null hypothesis provides evidence not proof that the site meets the remedial action goals. The DQA process is designed to evaluate statistically based sample designs simple random stratified random systematic sequential etc. . DQA Steps 1 and 2 should be implemented by an analytical chemist radiochemist while DQA Steps 3 through 5 should be implemented by a statistician. Figure Five steps that comprise the DQA process. 303 2001 by CRC Press LLC 304 SAMPLING AND SURVEYING RADIOLOGICAL ENVIRONMENTS DQA STEP 1 REVIEW DQOs AND SAMPLING DESIGN Step 1 of the DQA process identifies any discrepancies that exist between the sampling and analytical requirements specified in the DQO and sampling and analysis plan and what was actually performed in the field. The DQA checklist presented in Table should be used to assist in performing this evaluation. This step requires the implementation of the following activities Obtain a copy of the DQA checklist Table project DQO summary report sampling and analysis plan data verification validation packages maps showing final sampling locations and any design change notices. Review the project DQO summary report and sampling and analysis plan to become familiar with the project data requirements that must be compared with the collected analytical data set. Review the data
