GB 17378.2-2007The specification for marine monitoring - Part 2: Data processing and quality control of analysis (English PDF)
海洋监测规范 第2部分: 数据处理与分析质量控制
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Issued by
General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China; Standardization Administration of China
Level / Type
National · Mandatory
Issue date
October 18, 2007
Implementation date
May 1, 2008
Scope
GB 17378.2-2007 is the English-translated version of 海洋监测规范 第2部分: 数据处理与分析质量控制.
Part 2 of China's mandatory specification for marine monitoring, covering data processing and analytical quality control. This is the part that decides whether the numbers can be believed. Marine analysis works at concentrations near the detection limit - trace metals and organics in seawater are measured in parts per billion and below - where contamination from the vessel, the sampler, the reagents and the laboratory itself is the dominant source of error, and where a result can be produced that is entirely an artefact. The part specifies the blanks, duplicates, spikes and reference materials that must accompany a batch, the control charts by which a method is judged to be in control, the criteria for accepting or rejecting data, and the treatment of values below the detection limit, which is where more monitoring datasets have been ruined by careless handling than by any laboratory error.
Document preview — GB 17378.2-2007
National Standard of the People's Republic of China
- ICS
- 07.060
- Classification
- A45
Issued by: General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China; Standardization Administration of China
Contents
- 1 Scope
- 2 Normative references
- 3 Terms and Definitions
- 4 General Provisions
- 5 Data Processing
- 5.1 Significant digits and rounding off
- 5.1.1 Significant figures
- 6.2 Sample preparation and application of internal control
- 11 Internal analytical quality control laboratory 6 17
- 15 Incorrect approach. once before rounding rounding rounding second 15.4546 15.455
- 15.46 Three four rounding rounding (result) 15.5
- 21 The basic composition of
Foreword
All technical content in this section is mandatory. GB 17378 "marine monitoring" is divided into seven parts.
--- Part 1. General;
--- Part 2. Data processing and analysis of quality control;
--- Part 3. Sample collection, storage and transport;
--- Part 4. Seawater analysis;
--- Part 5. Sediment analysis;
--- Part 6. Analysis of the organism;
--- Part 7. Ecological survey of offshore pollution and biological monitoring. This section GB 17378 Part 2, instead of GB 17378.2-1998 "specification for marine monitoring Part 2. Data processing and Analytical quality control. " This section compared with GB 17378.2-1998 main changes are as follows:
--- Amend the relevant provisions of the general regulations (1998 edition, Chapter 4; Chapter 4 of this edition);
--- Revised and improved the standard blank definition (1998 Version 3.6;
--- Again given the sensitivity of the method definition (1998 Version 3.11; edition 3.9);
--- Revised the detection limit, the lower limit of the measurement concept more clearly the meaning of these two concepts of probability (the 1998 edition 3.12,1.13; this Version 3.10, 3.11);
--- Precision in the definition, and supplement its usual metric (1998 Version 3.17;
--- Gives a more precise definition of the system error and random error (the 1998 edition 3.29,3.30; this edition 3.25,3.26);
1 Scope
Part 2 of China's mandatory specification for marine monitoring, covering data processing and analytical quality control. This is the part that decides whether the numbers can be believed. Marine analysis works at concentrations near the detection limit - trace metals and organics in seawater are measured in parts per billion and below - where contamination from the vessel, the sampler, the reagents and the laboratory itself is the dominant source of error, and where a result can be produced that is entirely an artefact. The part specifies the blanks, duplicates, spikes and reference materials that must accompany a batch, the control charts by which a method is judged to be in control, the criteria for accepting or rejecting data, and the treatment of values below the detection limit, which is where more monitoring datasets have been ruined by careless handling than by any laboratory error.
GB 17378 of the provisions of this part of the ocean monitoring data processing commonly used terms and symbols, statistical tests outliers, the mean difference between two The significance test, validation of analytical methods, sample preparation and application of internal control, analytical quality control drawing and the like. This section applies to the marine environment monitoring analysis of seawater, sediment analysis, biological analysis, ecological survey offshore pollution and biological monitoring Data Processing and Analysis laboratory internal quality control. Oceanic and Atmospheric pollutants into the sea fluxes survey, dredging and marine dumping investigation was also Reference may be used.
2 Normative references
The following documents contain provisions which, through reference in this Part of
GB 17378, constitute provisions of this part. For dated reference documents Member, all subsequent amendments (not including errata content) or revisions do not apply to this section, however, encouraged to reach under this section Parties to research agreement to use the latest versions of these documents. For undated reference documents, the latest versions apply to this section.
GB 8170 numerical rounding rules
GB 17378.5-2007 marine monitoring Part 5. Sediment analysis
GB 17378.6-2007 marine monitoring Part 6. Analysis of the organism
3 Terms and Definitions
The following terms and definitions apply to this part of GB 17378.
3.1 Initial sample collection site.
3.2 Pretreated need to carry out sample measurement.
3.3 Independent samples taken from the same two or more samples.
3.4 Zero concentration corresponding to the standard series of analytical signal response.
3.5 In full agreement with the conditions of sample analysis, measurement results of blank samples.
3.6 The magnitude of the test signal value of the sample items (X) and analytical instruments given a correlation curve (Y) between. Calibration curves are divided into standard song Line and curve.
3.7 Determination of the sample analysis process steps are identical to the standard series measured under the conditions of the calibration curve obtained.
3.8 Calibration curves measured under standard measuring step series of somewhat more than sample analysis process is simplified conditions.
3.9 Sensitivity of a measuring method, equal in magnitude response indicates that the amount of the signal and the signal generated test substance concentration or mass Ratio. It reflects the degree of change in the concentration of the test substance units or units of quality changes resulting response signal indicative amount.
3.10 By one measurement can be 95% confidence probability qualitative judgment there is a minimum concentration or amount of material required for the test.
3.11 Confidence probability is 95%, the lowest concentration or the minimum amount can be measured quantitatively measured object.
3.12 The measurement results below the detection limit of XN.
3.13 Under specified conditions, the degree of mutual agreement between independent test results. Common standard deviation to measure.
4 General Provisions
4.1 original site work record on the specified form with a hard pencil, writing correct, should not apply. Need to correct wrong note when, in the wrong Uniform numbers on the horizontal line, write the correct figure up above it. 4.2
5.1 according to the method given in the recording and rounding the effective number of digits.
4.3 indicates that the test result and the dimensionless number of significant digits, indicate according to the analysis method specified. Without this provision, the a Is a general principle of data only allowed at the end of a number is estimated (suspicious) value each other numbers are valid (credible), and so the decision And an integer number of decimal places. Mandatory due to changes in dimension without decimals to take place, the details of the calculation method, see Chapter 5.
4.4 XN below the detection limit of the test results should be reported "not detected", but in the regional monitoring detection rate accounted for more than half the sample frequency (including 1/2) or less than 1/2, 1/2 and 1/4 portions were taken XN amount of undetected participate statistical operation.
4.5 Data not performed the competent department under the quality control program generated data considered suspect. Suspicious data can not be used for offshore Environmental quality and marine environmental impact assessment.
4.6 parallel sample test is one way of analytical quality control. Principles laid down, not with the kind of simultaneous determination of internal projects, all bis test Parallel analysis of samples. Dissolved oxygen, water, oil, etc. to be measured parallel to double the original sample (these do not need to test-analysis of two parallel). If the analysis is not to sea Dual water sample relative deviation predetermined allowable value, as shown in Table 1 to perform.
4.7 sediments and organisms like double relative deviation table see GB 17378.5 and GB 17378.6.
4.8 natural samples spiked recoveries can not be beyond the range of values given method. Without this provision, executed in Table 2.
4.9 ocean monitoring, the use of analytical methods other than the specification must be done according to the provisions validation method comparison, reported to the competent authorities Approval of the record. Table 1 seawater parallel twin-like relative deviation table The results where the magnitude 10-410-510-6 10-710-810-9 10-
10 Relative deviation allowable limit / 1.0 2.5 510,203,050 calculation | AB | A + B × 100 Table
2 Recovery allowable value table Concentration or amount range / (Mug/L) Recovery rate/ < 10 060 - 110 > 10 080 to 110 > 100 090 ~ 110 Capacity and weight method 95 - 105
5.1.1 Significant figures
5.1.1.1 any specific measurement of the amount (given) Results are given by measuring the (fixed) value obtained was measured, also known as value. Measure Usually a number multiplied by the unit of measurement used to indicate a specific amount of size. Unable to artificially achieve complete measurement (set) process, so Measurement (fixed) result inevitably contain errors. In order to measure the expression (given) the accuracy of the results, with significant figures represents a specific measurement (Be) the result of the digital section.
5.1.1.2 significant digits by one or more "reliable figures" and a "bottom owe quasi-digital" component. The effective number of significant digits is " By the numbers "and" the last one due to quasi-digital "bits sum due under different specific measure (set) condition," bottom owe quasi-digital "level of under-registration Different, so in principle, this standard does not perform rounding interval specified. But under normal circumstances, the analysis in the field of repair intervals about "the last Less quasi-digital "1 unit.
5.1.1.3 The number of significant digits of significant figures, in addition to reflect the size of the magnitude of the field in the analysis also reflects accurately the value of degree. For example 0.6705g sodium oxalate, the credible numerical values taken in the thousands on the 0 in the digital bit 5 is extremely suspicious, Its true value lies between 0.6704g ~ 0.6706g.
5.1.1.4 significant digits "0" is calculated as the effective number of significant digits, according to the digital status "0" position before and after while set. Common are the following four cases.
--- In the non "0", "0" numbers, such as between the two 2.005,
1.025 three significant digits "0" should be counted as a valid number The effective number of bits (referred to as the effective number of bits).
--- In the non "0" after the number of all "0" shall be calculated as the effective number of bits (All integers trailing "0" excluded). Such as 2.2500, 1.0250.
--- Front does not have a non-zero number "0", such as 0.0025 in the three "0" should not be counted as significant digits, only held in position. one As it can be expressed as 2.5 × 10-3.
--- Integer behind the "0", it is difficult to determine whether a valid number. For example 1.5g may also be expressed as 1500mg, from the apparent point of view, with A significant digits values are different. To avoid misunderstanding, unified with the index form, the above example can be written as 1.5 × 103mg, shown to be two significant figures.
5.1.2 of the original recording data To ensure the accuracy of the data should be, it should be properly recorded raw data begins, there is a calculation of significance for any data to be cautious To assess properly documented significant digits magnitude. For example, the minimum scale 50mL burette is 0.1mL, and because a permit to increase Bit estimates can be recorded to two decimal places, such as 12.34mL. This value indicates that 3 out of position on the scale indicates the value is exact to Letter; 4 percentile is estimated on the interpretation, it is suspicious numbers, and knowing the fluctuation range 0.02mL, its relative error is (0.02 / 12.34) × 100% = 0.16%. If the original record is only recorded 12.3mL, said possible relative error of 1.6%. due to Original records unreasonable resulting data accuracy decline an order of magnitude. But it can not arbitrarily increase the number of significant digits. As in the previous note to
12.340 is significant distortion, because it is impossible to estimate the two digits. Original record significant digits both essential, nor more. Principle remembering that faithfully records and allow a write-up estimates are based on the minimum scale value Instrument indication. General laboratory measuring instruments can remember bits as follows:
--- Millionth scale. 4 decimal places that is extremely bits.
--- Balance the dish. ie after the second decimal place percentile.
--- Spectrophotometer. absorbance third place that is charged to the thousandth decimal places.
15.46 Three four rounding rounding (result) 15.5
16 In rounding calculation process is not required for intermediate results about the final result rounded to the expected number of digits.
5.2 statistical test of outliers One group (group) normal measurement data, should come from the same population with a certain distribution; if the analytical conditions change significantly, or in experiments Operation fault occurs, will produce a significant difference with the normal data data, such data is called outliers or outliers. Outlier Or outliers shall be tested to determine. The apparent difference in the larger analysis of data, but not tested or determined to be outliers abnormal value, Called suspicious data.
5.2.1 Test suspicious data Excluding outliers, the measurement result will be more objective; it should not be arbitrarily deleting some of the apparent differences between the larger and not stray suspicious data. Suspicious data choice, should refer to the following principles.
--- Careful review process and review the generated test data is questionable, if it is the fault of the error, then discarded.
--- If you do not find fault, according to the statistical test procedures, decide whether to discard as outlier or outliers. Criterion
5.2.2 outlier data Discrimination outlier data should follow these guidelines.
--- Statistic calculated value is not greater than the significance level alpha =
0.05 threshold, the suspect data as normal data, should be retained.
--- Statistic calculated value is greater than the critical value alpha =
0.05 but not greater than the critical value alpha = 0.01, and this suspect data for the partial From the data can be retained, taking the median instead of the average value.
--- Statistic calculated value is greater than the critical value alpha = 0.01, and this value is questionable outlier should be removed, and the remaining data continue Test until the data is no exception value.
5.2.3 Test Method outliers A set of measurement data consistency check and eliminate outlier test, as follows:
--- Repeated times like the measured values in ascending order of X1, X2, X3,, X-shaped;
--- Table 5 formula, find calculate Q value;
......
This preview omits tables, figures, formulas and parts of the technical clauses. The complete document — 28 pages — is available in the English PDF.
Referenced standards
Normative references
- GB 17378.5-2007The specification for marine monitoring - Part 5: Sediment analysis
- GB 17378.6-2007The specification for marine monitoring - Part 6: Organism analysis
GB 17378 · GB 8170
Cited by
- GB/T 45140-2025Technical guideline for monitoring and effectiveness evaluation of mangrove ecological restoration
- GB 30736-2014The limitation on infilling components of sea reclamation and enclosure project
- GB 30979-2014Assessment procedure for marine dumping of inert inorganic geological material
- GB 30980-2014Assessment procedure for marine dumping of dredged material
- GB 4914-2008Effluent limitations for pollutants from offshore petroleum exploration and production
- GB 17378.1-2007The specification for marine monitoring - Part 1: General rules
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Related Standards
GB 17378.1-2007 — The specification for marine monitoring - Part 1: General rules
GB 17378.3-2007 — The specification for marine monitoring Part 3:Sample collection,storage and transportation
GB 17378.4-2007 — The specification for marine monitoring - Part 4: Seawater analysis
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