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Priority Substances Emissions Inventory

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Presentation on theme: "Priority Substances Emissions Inventory"— Presentation transcript:

1 Priority Substances Emissions Inventory
Data Sources What is readily available What issues arise

2 Data Availability – E-PRTR

3 E-PRTR – Issues Arising
Reporting only above thresholds, e.g. > 100,000 population equivalent with respect to municipal wastewater discharges Smaller emissions will be important All PS captured in the E-PRTR Regulation? Wastewater discharges are not a true source; Chemicals from domestic sources, industry, transport, atmospheric deposition (but original source?) are discharged in treated effluent.

4 Other Sources UWWTD – limited data provided voluntarily on discharge of pollutant (primarily nutrients though) Eurostat/OECD JQ – wastewater discharges at a national scale EEA new reporting stream on emissions – RBD scale, regular updating. A data dictionary has been established that could be of value. Some limited chemicals data reported thus far……

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6 Sea Conventions; OSPAR and HELCOM
Inputs of cadmium in tons to the maritime area of the OSPAR convention Coastal loads – raise issues related to harmonisation of methods

7 Other Sources – Research/Modelling Programmes e. g
Other Sources – Research/Modelling Programmes e.g. ScorePP, SOCOPSE, Moneris, FOOTPRINT etc Acceptability?

8 Priority Substances Emissions Inventory
(Some) Methods Issues Arising

9 Riverine Loads OSPAR (and others) guidelines regarding load estimation at/close to river mouth. Provided point discharges are quantified, the difference between net load and points can be attributed to a lumped diffuse source Advantage – flow and concentration data typically available, but some issues….

10 Riverine Loads Chemical loads as quantified ‘in-river’ - near to tidal limit - account for in-river processing (sedimentation, remobilisation etc) Net loads can be very different from those releases ‘immediately’ at source Standard approaches/coefficients for estimating this loss?

11 Riverine Loads No quantification of load by sector
Loads aggregated to a single figure, i.e. lumped total load or lumped diffuse Strongly influenced by rainfall, river flow Inter-annual variation suggests that some record of hydrology is needed – mean annual flow?, annual rainfall?

12 Methods – Harmonisation Issues
Diffuse emissions (agriculture, urban) also strongly influenced by hydrology Accurate load assessment means high frequency sampling is needed to capture storm events; a few events deliver much of the load. Variety of models/predictive tools used – vary nationally and across RBD’s Make use of ‘libraries’ of coefficients e.g. export coefficients Consistency in method within a country/RBD is important.

13 Wastewater Wastewater discharges are not a true source; Chemicals from domestic sources, industry, transport, atmospheric deposition (but original source?) are discharged in treated effluent. Ideally, in order to best target measures, these separate sources should be quantified, but…..

14 How to deal with complexity in Urban Environment ?
True Diffuse losses (EMC X Runoff Volume) Collected, Not Treated Collected, Treated Storm Overflows Focus on the initial source and release ? (e.g. coefficients for metal loss from tyres, brakes)…but the inventory requires ‘losses’

15 Make good use of existing guidance
Use established sources, pathways and methods to provide clarity with terminology, common formats, units etc. National approaches IMPRESS OSPAR – HARP-Haz Eurostat/OECD JQ


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