Cross-validation of waste statistics data

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Presentation transcript:

Cross-validation of waste statistics data Comparison with other reporting obligations Cross-validation of waste statistics data THE CONTRACTOR IS ACTING UNDER A FRAMEWORK CONTRACT CONCLUDED WITH THE COMMISSION

Overview Introduction Example: Generation of WEEE & ELV Example: PRTR Example: Generation of C&D-Waste (WFD)

Why to carry out cross-validation? Some other reporting obligations are partly overlapping with the obligations of the WStatR EU waste data from different sources should ideally be coherent / free of contradictions Cross-checking  mutual improvement of the data quality Explanations of inconsistencies (e.g. in the Quality Report) ease the validation, cross-country comparison and interpretation of waste statistics

Reporting obligations of special relevance for cross-validation Waste Electrical and Electronic Equipment (WEEE) End of life vehicles (ELV) Waste Shipment Packaging and packaging waste Waste Framework Directive - Recycling/recovery targets PRTR

Challenges related to cross-validation Differences in coverage and definitions Reporting responsibilities are shared with different administrative bodies The same reporting deadlines (end of June)  Data for some other reporting obligations is produced simultaneously with waste statistics

The approach in Austria Umweltbundesamt gathers all reports related to waste, including method descriptions Cooperation / discussions with other administrative bodies responsible for waste reporting For each waste statistics report, cross-validation is carried out covering all waste related reporting obligations.  Results are documented in a special quality report

Example: Generation of WEEE & ELV

Cross-check with WEEE-reporting: Comparability The total generation of the category “discarded equipment” (WStatR) can be compared with the collected amounts of WEEE (WEEE-Dir) Differences in the coverage: EWC-Stat category 08 Discarded equipment covers all LoW-codes that refer to WEEE with the exception of PCB-containing equipment and equipment containing free asbestos. In addition to the WEEE-related waste types, the category discarded equipment includes wastes / components from the dismantling of end-of-life vehicles. WStatR-data may include double-counted amounts due to pre-treatment steps

Cross-check with WEEE-reporting: Validation rule Validation rule: Discarded equipment generated (WStatR) > Discarded equipment collected (WEEE-Dir) Example: Austrian data Reference year Discarded equipment generated (WStatR) Discarded equipment collected (WEEE-Dir) 2012 82.419 77.402 2014 85.106 77.726

Cross-check with WEEE-reporting: WStatR and WEEE-Dir in 2014

Cross-check with ELV-data: Comparability The total generation of the category “discarded vehicles” (WStatR) can be compared with the total weight of end-of life vehicles (ELV- Dir). Differences in the coverage: End-of-life vehicles are covered by category EWC-Stat 08.1 Discarded vehicles. Covers end-of-life vehicles as defined by ELV-Directive (passenger cars, small trucks, ..) but also any other vehicles like heavy trucks and off-road machinery WStatR-data may include double-counted amounts due to pre-treatment steps Parts of ELV and materials from the treatment of ELV are reported either under the category EWC-Stat 08 Discarded equipment or under the respective materials

Cross-check with ELV-data: Validation rule Validation rule: Discarded vehicles generated (WStatR) > Total weight of end-of-life vehicles (ELV-Dir) Example: Austrian data

Cross-check with ELV-data: WStatR and ELV-Dir in 2014

Example: PRTR

Reporting on waste to the E-PRTR Facilities included in Annex I of Regulation 166/2006/EC 65 E-PRTR economic activities Total quantities of hazardous and non-hazardous waste per year Off-site transfers of more than 2000 tonnes non hazardous Off-site transfers of more than 2 tonnes hazardous waste The amounts are to be related to recovery and disposal Transboundary shipments of hazardous waste Off-site of more than 2 tonnes hazardous waste per year details of the waste receivers have to be provided.

Comparability of the E-PRTR data with Waste Statistics Total quantities of hazardous waste and of non-hazardous waste can be compared on the level of economic categories of Annex I of the WStatR Because of the reporting thresholds and because E-PRTR does not cover internal treatment, the E-PRTR data does not have full coverage  the E-PRTR quantities should generally be lower than the quantities reported under WStatR

Example: Cross-check in Austria 2014   NACE Rev.2 divisions WstatR Hazardous waste (t) Non- hazardous waste (t) PRTR A01, A02, A03 9.460 118.665 0  B04 - B09 17.031 26.202 171 2.333 C10, C11, C12 1.335 293.368 188 122.771 C13, C14, C15 1.292 27.875 184 16.946 C16 14.185 424.210 228 56.215 C17, C18 5.714 646.574 2.472 656.045 C19 2.613 4.896 2.192 3.996 C20, C21, C22 103.803 221.029 46.366 87.998 C23 17.624 60.152 2.438 2.336 C24, C25 319.661 2.775.357 254.813 733.654 C26-C30 51.856 339.762 7.577 22.018 C31, C32, C33 6.980 77.284 417 157 D34, D35 29.999 501.189 17.452 223.428 E36, E37, E39 3.181 284.615 31 416.172 E38 120.364 1.842.654 198.602 1.430.979 F41, F42, F43 227.685 40.037.888 1.928 245.306 G - U (ex. G46.77) 266.466 2.612.684 124 6.539 G46.77 2.550 202.065 594

Example: Generation of C&D-Waste (WFD)

Compliance Reporting on WFD: Recovery rate of C&D Waste The recovery rate is defined as follows: Calculation methods: Materially recovered amount: Calculation on basis of national data WStatR data do not allow determining the recovery of C&D waste accurately, e.g. due to the impact of imports and export Generated amount of C&D waste: 1) Use of WStatR data (details are defined in 2011/753/EC) or 2) Use of national data

Cross-check of generated quantities of C&D-waste 2012 Source: Eurostat 2016, Doc. WASTE WG 4.5(2016), Item 4.5 on the agenda, Working Group on waste statistics 1 and 2 March 2016

Some results of the cross-validation Significant differences (> 20%) between WFD and WStatR data on generated quantities occurred in 12 of the 25 reporting countries Reasons include: Different data sources Data compilation by LoW-codes, in combination with excessive use of codes for metal wastes Incorrect data coverage Submission of provisional data Different reference years Source: Eurostat 2016, Doc. WASTE WG 4.5(2016), Item 4.5 on the agenda, Working Group on waste statistics 1 and 2 March 2016

Contact & Information Milla Neubauer milla.neubauer@umweltbundesamt.at Umweltbundesamt www.umweltbundesamt.at ESTP course on waste statistics Wien ■ 6.-7.12.2016