What is the total amount of substances of concern that are generated or used during production or that are procured?

When disclosing substances of concern and substances of very high concern, ensure you include the following details as required by paragraph 32: Total Amounts of Substances of Concern Generated or Used: Substances Used or Generated in Production: Disclose the total amounts of substances of concern that are generated or used during the production process within your operations. This could include hazardous chemicals, solvents, heavy metals, or other materials that pose a significant risk to human health or the environment. This data should cover: Raw materials used in manufacturing. By-products generated during production. Waste products that might contain substances of concern. Procurement of Substances of Concern: Include the total amounts of substances of concern that your company procures through the supply chain. This could include materials purchased for use in products or services, or those used in support operations. Categorization into Hazard Classes: Main Hazard Classes: Split the disclosed substances into the relevant hazard classes based on their potential environmental or human health impacts. These classes could include: Carcinogenic substances. Toxic substances. Persistent substances (e.g., substances that do not break down easily in the environment). Bioaccumulative substances (e.g., substances that accumulate in organisms over time). This classification helps to understand the specific risks associated with the substances your company is generating, using, or releasing, and it informs stakeholders of potential environmental and health impacts. Measurement and Reporting Methods: Explain the measurement methods or data sources used to determine the quantities of substances of concern. This may include: Direct measurements (e.g., chemical analysis, sampling). Estimates based on industry standards or regulatory guidelines. Modeling or calculations to approximate quantities based on production volumes or historical data. Provide context on how uncertainty is managed in the data and whether third-party verification is used https://xbrl.efrag.org/e-esrs/esrs-set1-2023.html#1388