What is the share of the water data obtained from direct measurement, sampling and extrapolation, or best estimates?

To provide an accurate disclosure of the share of water data obtained from direct measurement, sampling and extrapolation, or best estimates, you would need to break down how the data was gathered in each category. Here's how you can structure this: Identify the Data Collection Methods: Review the data collection processes for water usage and quality in your operations. Identify how the data was gathered: Direct measurement: Data directly collected from water meters, sensors, or monitoring stations. Sampling and extrapolation: Water quality or quantity data obtained through sampling (e.g., water samples from a river or reservoir) and extrapolating results (e.g., using data from one area to estimate values for another). Best estimates: Data approximations based on historical data, industry benchmarks, or expert judgment when direct measurement isn't available or feasible. Calculate the Share for Each Method: Break down the total water data into the percentage obtained from each method. For example: X% of the data is from direct measurement (e.g., from installed meters or monitoring stations). Y% of the data is from sampling and extrapolation (e.g., from periodic sampling events and modeled estimations). Z% of the data is based on best estimates (e.g., based on average values or assumptions due to lack of direct data). Provide Context for Data Sources: Offer explanations where necessary to clarify why certain data is estimated or extrapolated: For instance, extrapolating might be used in regions where direct measurements are not feasible, or estimates are based on industry standards for similar operations. https://xbrl.efrag.org/e-esrs/esrs-set1-2023.html#6151