T/ZNX 030-2023 Active Group standards

T/ZNX 030-2023 Pesticide product carbon footprint evaluation specification

T/ZNX 030-2023 Pesticide product carbon footprint evaluation specification

Publish Date: 2023-11-13 Implement Date: 2023-11-20 For services related to genuine standard inquiry, procurement, translation, and other related services in China, please Contact Us
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Basic Information

Standard Code: T/ZNX 030-2023
Standard Type: Group standards
Standard Status: Active
is_force_gb: no
CCS Name: -
ICS Name: Other pesticides and agricultural chemical products
Publish Date: 2023-11-13
Implement Date: 2023-11-20

Scope

Main Technical Content: 7. Data Acquisition When conducting carbon footprint evaluation for pesticide products, manufacturers should collect data in accordance with standards based on actual circumstances, including GHG emissions and removals accounting, data collection rules for each stage of the life cycle, quality requirements, allocation principles, and selection criteria, to enhance the operability of this document. 7.1 Data Quality Requirements Data quality requirements shall comply with relevant national regulations. Data collection categories may refer to Appendix D. Data used in the carbon footprint evaluation of pesticide products must meet the following requirements: - Completeness: Cover all GHG emissions and removals that contribute substantially to the evaluation of the pesticide product system. - Representativeness: Use data that are time-, geography-, and technology-specific to the evaluation of pesticide products. - Accuracy: Avoid unnecessary deviations and any operations that increase uncertainty. - Continuity: Data must be time-continuous, using at least the latest year's data, and failing that, all available data. Primary data should be prioritized. If primary data is unavailable, secondary data can be used and documented with an explanation of the data source and rationale for its use. 7.2 Data Sampling 1) For the same input data from multiple sources in a unit process, select representative, authoritative, and conservative data samples for GHG emissions and removals accounting. The sampled data must meet the data quality requirements specified in 7.1. 2) If a single raw material comes from multiple suppliers, collect primary data from all suppliers. If collecting all primary data is difficult, collect primary data from suppliers accounting for over 50% of the total supply or representative suppliers, and their weighted average can be used as secondary data for suppliers without available data. 3) If there is more than o

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