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Modeling agricultural surpluses in whole France with NOPOLU System2.

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Presentation on theme: "Modeling agricultural surpluses in whole France with NOPOLU System2."— Presentation transcript:

1 Modeling agricultural surpluses in whole France with NOPOLU System2

2 Calculation of Agricultural surpluses on yearly basis Why and How modeling surpluses Description of the model Approach using CLC Some recent adaptations

3 Synthesis on whole France On NUTS4 level On watershed level

4 Nitrogen net load aggregated on NUTS4

5 Nitrogen net load aggregated on watershed

6 Nitrogen net load density on agricultural areas aggregated on NUTS4 level

7 Nitrogen net load density on agricultural areas aggregated on CLC2 NUTS4 level

8 Nitrogen net load density on agricultural areas aggregated on watershed level

9 Europe Atmospheric deposit from model EMEP year 2000 results on square grid 50x50 km

10 Zoom on France Atmospheric deposit from model EMEP year 2000 results on square grid 50x50 km

11 Atmospheric deposit aggregated by NUTS4 (Source model EMEP year 2000)

12 Nitrogen total load density on whole entity aggregated par canton

13 Nitrogen total load density on whole entity aggregated by watershed

14 Nitrogen surpluses density on agricultural areas aggregated by watershed

15 Nitrogen net load aggregated on NUTS4 for Maize (D06)

16 Nitrogen net load density aggregated on NUTS4 for Maize (D06)

17 Synthetic Fertilizer density by NUTS4 entity for Maize (D06)

18 Organic Fertilizer density by NUTS4 entity for Maize (D06)

19 Nitrogen surpluses density on NUTS4 entity level for Maize (D06)

20 Nitrogen surpluses on NUTS4 entity level for Maize (D06)

21 Pig's live stocks by NUTS4

22 Nitrogen load to atmosphere from pigs (J/13)

23 Nitrogen manageable load from pigs (J/13)

24 Nitrogen net load from pigs (J/13)


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