HJ 356-2019 PDF English
US$155.00 · In stock · Download in 9 secondsHJ 356-2019: Technical specification for data validity of wastewater on-line monitoring system (CODCr, NH3-N et al.) Delivery: 9 seconds. True-PDF full-copy in English & invoice will be downloaded + auto-delivered via email. See step-by-step procedureStatus: Valid HJ 356: Evolution and historical versions
| Standard ID | Contents [version] | USD | STEP2 | [PDF] delivery | Name of Chinese Standard | Status |
| HJ 356-2019 | English | 155 |
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Technical specification for data validity of wastewater on-line monitoring system (CODCr, NH3-N et al.)
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| HJ/T 356-2007 | English | 399 |
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Technical specifications for validity of wastewater on-line monitoring data(on trial)
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Similar standards HJ 354 HJ 355 HJ 353 HJ 356-2019: Technical specification for data validity of wastewater on-line monitoring system (CODCr, NH3-N et al.)
---This is an excerpt. Full copy of true-PDF in English version (including equations, symbols, images, flow-chart, tables, and figures etc.), auto-downloaded/delivered in 9 seconds, can be purchased online: https://www.ChineseStandard.net/PDF.aspx/HJ356-2019
NATIONAL ENVIRONMENTAL PROTECTION STANDARD
OF THE PEOPLE’S REPUBLIC OF CHINA
Replacing HJ/T 356-2007
Technical specification for data validity of wastewater
on-line monitoring system (CODCr, NH3-N et al.)
ISSUED ON: DECEMBER 24, 2019
IMPLEMENTED ON: MARCH 24, 2020
Issued by: Ministry of Ecology and Environment
Table of Contents
Foreword ... 3
1 Scope ... 5
2 Normative references ... 5
3 Terms and definitions ... 6
4 Judgment process of data validity ... 6
5 Judgment index of data validity ... 7
6 Judgment method of data validity ... 10
7 Calculation of effective mean value ... 11
8 Process of invalid data ... 12
Technical specification for data validity of wastewater
on-line monitoring system (CODCr, NH3-N et al.)
1 Scope
This Standard specifies the judgment process of validity, judgment index of data
validity, judgment method of data validity, the calculation of effective mean value
and the process of invalid data for monitoring data such as chemical oxygen
demand (CODCr), ammonia nitrogen (NH3-N), total phosphorus (TP), total
nitrogen (TN), pH value, temperature, and flow rate which are obtained from
the wastewater on-line monitoring system.
This Standard applies to the validity of monitoring data such as chemical
oxygen demand (CODCr), ammonia nitrogen (NH3-N), total phosphorus (TP),
total nitrogen (TN), pH value, temperature and flow rate which are obtained
from the wastewater on-line monitoring system.
2 Normative references
This standard refers to the following documents or clauses therein. For undated
references, the valid edition applies to this Standard.
GB/T 6920, Water-quality - Determination of pH value - Glass electrode
method
GB/T 11893, Water-quality - Determination of total phosphorus - Ammonium
molybdate spectrophotometric method
GB/T 13195, Water-quality - Determination of water temperature -
Thermometer or reversing thermometer method
HJ 355-2019, Technical specification for operation of wastewater on-line
monitoring system (CODCr, NH3-N et al.)
HJ 535, Water-quality - Determination of Ammonia Nitrogen - Nessler
Reagent Spectrophotometry
HJ 536, Water-quality - Determination of ammonia nitrogen - Salicylic acid
spectrophotometry
HJ 636, Water-quality - Determination of total nitrogen - Alkaline potassium
persulfate digestion UV spectrophotometric method
HJ 828, Water-quality - Determination of the chemical oxygen demand -
Dichromate method
HJ/T 70, High-chlorine wastewater - Determination of chemical oxygen
demand - Chlorine emendation method
3 Terms and definitions
The following terms and definitions are applicable to this Standard.
3.1 Wastewater on-line monitoring system
The system that is composed of software and hardware facilities that realize
the functions of wastewater flow monitoring, wastewater-sample collection,
wastewater-sample analysis, analysis data statistics and upload.
3.2 Wastewater on-line monitoring equipment
The instrument and equipment, in the wastewater on-line monitoring system,
that is used for continuous on-line monitoring of pollutant concentrations and
emissions.
3.3 Valid data
Data that is obtained during the normal sampling and monitoring period of the
wastewater on-line monitoring system and meets the quality requirements
through verification.
4 Judgment process of data validity
The operation status of the wastewater on-line monitoring system is divided into
normal sampling and monitoring period AND abnormal sampling and monitoring
period.
For the monitoring data that is obtained during the normal sampling and
monitoring period, perform validity according to the data validity standards that
are specified in Chapters 5 and 6 of this Standard.
The abnormal sampling monitoring period includes equipment outage period,
fault repair or maintenance period, and calibration and verification period.
During this period, no matter whether the on-line monitoring system obtains or
outputs monitoring data, it is invalid data.
The judgment process of data validity is shown in Figure 1.
x -- standard sample test value, mg/L;
B -- standard sample standard value, mg/L.
5.3 Ultrasonic open-channel flowmeter comparison test error
Perform the comparison test between the automatic monitoring method and the
manual monitoring method of the ultrasonic open-channel flowmeters that are
installed at each site according to the relevant regulations of HJ 355. The
comparison test results shall meet the requirements of Table 1 of HJ 355-2019.
6 Judgment method of data validity
6.1 Judgment of valid data
6.1.1 The monitoring data that is obtained during the normal sampling and
monitoring period that meets the data validity that is specified in Chapter 5 of
this Standard can be judged as valid data.
6.1.2 When the monitoring value is zero, or a negative value within the zero-
drift limit range, or below the equipment detection-limit, it needs to be identified
by quality control methods such as on-site inspection, actual water-sample
comparison test, standard sample test. The above data that is generated
because the actual emission concentration is too low is still judged as valid data.
6.1.3 If the monitoring value rises sharply, drops sharply, or remains constant,
it needs to be identified by quality control methods such as on-site inspection,
actual water-sample comparison test, standard sample test, and then
discriminated and processed.
6.1.4 The operation and maintenance records of the wastewater on-line
monitoring system shall record the alarm, fault repair, daily maintenance,
calibration and other contents during the operation. The operation and
maintenance records may be used as evidence for judging data validity.
6.1.5 The wastewater on-line monitoring system shall be able to read and view
detailed logs. The log records may be used as evidence for judging data validity.
6.2 Judgment of invalid data
6.2.1 When the flow is zero, the monitoring value that is outputted by the on-
line monitoring system is invalid data.
6.2.2 When the data error that is received by the water-quality automatic
analyzer, data acquisition and transmission instrument, and the monitoring
center platform is greater than 1%, the data that is received by the monitoring
center platform is invalid data.
6.2.3 When the standard sample test is found to be unsatisfactory or the actual
water-sample comparison test is unsatisfactory, the on-line monitoring data of
the period from the moment of this failure to the moment of the last qualified
calibration and verification (any of the automatic calibration, automatic standard
sample verification, actual water-sample comparison test) is all judged as
invalid data. The data from the moment of this unqualified time to the next
moment of qualified calibration and verification, as data of abnormal sampling
and monitoring period, is judged as invalid data.
6.2.4 During the outage of the water-quality automatic analyzer, during fault
repair or maintenance period, during abnormal sampling and monitoring period
of planned (quality assurance and quality control) maintenance, calibration and
verification, the output monitoring values are invalid data. But the data of this
period is marked and retained as the basis for monitoring instrument inspection
and calibration.
6.2.5 For the data that is judged to be invalid, indicate the reason and retain the
original records.
7 Calculation of effective mean value
7.1 Data statistics
All valid data that is obtained during the normal sampling and monitoring period
shall be involved in statistics.
When the monitoring value is zero, a negative value within the zero-drift limit
range or below the equipment detection-limit, and it is judged as valid data, the
corrected value shall be used for the statistics. The correction rules are: CODCr
correction value is 2 mg/L, NH3-N correction value is 0.01 mg/L, TP correction
value is 0.005 mg/L, TN correction value is 0.025 mg/L.
7.2 Effective daily mean value
The effective daily mean value is the average value of all effective monitoring
data corresponding to a certain pollutant (CODCr, NH3-N, TP, TN) that is
obtained in one monitoring cycle of a day. The number of effective monitoring
data that is involved in the statistics shall not be less than 75% of the number
of attainable data of that day. The effective daily mean value is a weighted
average of the effective monitoring data of a pollutant with a flow weight.
The formula for calculating the weighted average of the effective daily mean is
shown in Formula (5):
......
Source: Above contents are excerpted from the full-copy PDF -- translated/reviewed by: www.ChineseStandard.net / Wayne Zheng et al.
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