Appendix 5
Analysis using RAINS and ASAM
Introduction
In this appendix further implications of the various scenarios are presented. These effects have been modelled using RAINS and ASAM, two integrated assessment models, which cover the whole of the UNECE region at a resolution of 150x150 km. Both models are based on the EMEP Lagrangian meteorological modelling of the relationship between emission sources and receptor areas in Europe. All of the results presented here are based on the RAINS model, the official model used in the UNECE Task Force on Integrated Assessment Modelling, except for those concerning human exposure to secondary particulates which is not covered by RAINS. For these calculations the ASAM model is used. The model has been shown to agree well with the RAINS model and is used for sensitivity analysis and supporting work at the UNECE Task Force on Integrated Assessment Modelling.
Implications of scenarios are presented for (a) the UK and (b) the whole of the UNECE region. Effects analysed are (a) human exposure to secondary particulates (b) acidification of ecosystems (c) eutrophication of ecosystems (d) AOT40 and AOT60 and the associated levels of ozone exposure to crops and human health.
Explanation of Scenarios
Table A5.1 shows the emission levels for the UK in the scenarios covered. The IIASA Reference scenario is the one calculated by IIASA for use at the Task Force on Integrated Assessment Modelling. The full set of European emissions under this scenario and H1 and J1 were given in Appendix II.
The underlying scenario is a variant of the IIASA Reference scenario in which European emissions remain at IIASA Reference whilst UK emissions are altered as shown in Table A5.1.
The additional scenarios such as UK1 and UK2 are variants of J1, that is, European emissions remain at J1 whilst the UK alters its emissions to those shown in Table A5.1.
SCENARIO |
SO2 |
NOx |
NH3 |
VOC |
Basic scenarios: |
  |   |   |   |
IIASA Reference |
980 |
1186 |
297 |
1351 |
UKREF |
784 |
1187 |
329 |
1300 |
H1 |
497 |
1181 |
264 |
964 |
J1 |
499 |
1181 |
264 |
1101 |
  |   |   |   |   |
Additional scenarios: |
  |   |   |   |
UK1 |
600 |
1181 |
297 |
1200 |
UK1a |
550 |
1150 |
274 |
1200 |
UK2 |
550 |
1100 |
274 |
1200 |
UK3 |
550 |
1000 |
274 |
1200 |
UK4 |
550 |
1150 |
274 |
1101 |
UK5 |
550 |
1100 |
274 |
1101 |
UK6 |
550 |
1000 |
274 |
1101 |
UK7 |
550 |
1181 |
274 |
1150 |
UK8 |
550 |
1100 |
274 |
1150 |
UK9 |
550 |
1100 |
274 |
1351 |
UK10 |
550 |
1186 |
274 |
1351 |
UKS11 |
525 |
1181 |
264 |
1101 |
UKS13 |
700 |
1100 |
264 |
1101 |
AOT40 and AOT60: Exposure of humans, vegetation and crops to ozone in excess of critical levels
METHODOLOGY
The RAINS web model was used to extract tables detailing AOT60 totals for the U.K. and for the UNECE region as a whole. RAINS provides average AOT60 values for each country in ppm hours. It also provides population exposures in units of million persons.ppm hours. The results are presented in Table A5.2a. Note that RAINS calculates population exposures using a threshold of 0.4 ppm hours(1).
Since the values of AOT60 were rather small, and RAINS only automatically produces results to one decimal place, more accurate information was extracted from the raw data which could be extracted from the model, totals of AOT60 were recalculated (referred to as method b). These values are shown in Table A5.2b, together with the matching population exposures. A threshold of 0.4 ppm hours has been used in this case(2).
RAINS was also used to extract values of AOT40 (method c). These are the average values in excess of 3 ppm hour critical level for vegetation. RAINS also provides tables of vegetation exposure using this threshold (Table A5.2c).
AOT40: Method d
RAINS was also used to provide raw data for AOT40 so that average AOT40 values (without a threshold) could be calculated for the UK and the UNECE (method d, Table A5.2d). Vegetation exposure was not calculated using this method.
Crop exposure to AOT40
Crop areas exposed to an excess of 3 ppm hours AOT40 were calculated using crop areas obtained from IIASA (Tables A5.2e, f).
Table A5.2a. AOT60 mean values and population exposures in UK and UNECE (method a). DJ1 shows the difference between the scenario selected and J1
UK |
AOT60 (mean) |
DJ1 |
%loss in benefit |
AOT60pop |
DJ1 |
%loss in benefit |
  |
Ppm hrs |
Ppm hrs |
  |
Million person ppm hrs |
  |   |
IIASA Reference |
1.30 |
0.40 |
  |
77 |
28 |
  |
UKREF |
1.3 |
0.40 |
  |
75 |
|
|
J1 |
0.9 |
0.00 |
  |
49 |
0 |
  |
H1 |
0.8 |
-0.1 |
-25 |
45 |
-4 |
-14.3 |
UK7 |
0.9 |
0 |
0 |
52 |
3 |
10.7 |
UK8 |
0.9 |
0 |
0 |
53 |
4 |
14.3 |
UK9 |
1.1 |
0.2 |
50 |
62 |
13 |
46.4 |
UK10 |
1.1 |
0.2 |
50 |
61 |
12 |
42.9 |
  |
  |   |   |   |   |   |
  |
  |   |   |   |   |   |
UNECE |
AOT60 |
DJ1 |
%loss in benefit |
AOT60pop |
DJ1 |
%loss in benefit |
IIASA Reference |
0.8 |
0.3 |
  |
570 |
224 |
  |
UKREF |
0.8 |
0.3 |
  |
566 |
  |   |
J1 |
0.5 |
0 |
  |
346 |
0 |
  |
H1 |
0.6 |
0.1 |
33 |
385 |
39 |
17.4 |
UK7 |
0.5 |
0 |
0 |
351 |
5 |
2.2 |
UK8 |
0.5 |
0 |
0 |
352 |
6 |
2.7 |
UK9 |
0.5 |
0 |
0 |
369 |
23 |
10.3 |
UK10 |
0.5 |
0 |
0 |
367 |
21 |
9.4
|
Table A5.2b. AOT60 mean values and population. Exposures in UK and UNECE (method b). DJ1 shows the difference between the scenario selected and J1
UK |
AOT60 (mean excess) |
DJ1 |
%loss in benefit |
AOT60pop |
DJ1 |
%loss in benefit |
  |
Ppm hrs |
Ppm hrs |
  |
Million person ppm hrs |
  |   |
IIASA Reference |
0.95 |
0.31 |
  |
79 |
26 |
  |
UKREF |
0.93 |
  |   |
77 |
  |   |
J1 |
0.64 |
0.00 |
  |
53 |
0 |
  |
H1 |
0.60 |
-0.04 |
-14.4 |
49 |
-4 |
-8.3 |
UK7 |
0.66 |
0.02 |
6.5 |
55 |
2 |
7.7 |
UK8 |
0.67 |
0.03 |
9.7 |
56 |
3 |
11.5 |
UK9 |
0.76 |
0.12 |
38.7 |
64 |
11 |
42.3 |
UK10 |
0.75 |
0.11 |
35.5 |
63 |
10 |
38.5 |
|
  |   |   |   |   |   |
  |
  |   |   |   |   |   |
UNECE |
AOT60 |
DJ1 |
%loss in benefit |
AOT60pop |
DJ1 |
%loss in benefit |
IIASA Reference |
0.47 |
0.17 |
  |
604 |
208 |
  |
UKREF |
0.47 |
  |   |
600 |
  |   |
J1 |
0.30 |
0.00 |
  |
396 |
0 |
  |
H1 |
0.34 |
0.04 |
23.5 |
429 |
33 |
15.9 |
UK7 |
0.31 |
0.01 |
5.9 |
400 |
4 |
1.9 |
UK8 |
0.31 |
0.01 |
5.9 |
401 |
5 |
2.4 |
UK9 |
0.32 |
0.02 |
11.8 |
417 |
21 |
10.0 |
UK10 |
0.32 |
0.02 |
11.8 |
416 |
20 |
9.6
|
Table A5.2c. AOT40 mean values in excess of 3 ppm hours, and vegetation exposures in UK and UNECE (method a).
UK |
AOT40 |
DJ1 |
%loss in benefit |
AOT40veg |
DJ1 |
%loss in benefit |
  |
Ppm hrs |
  |   |
Ppm hrs area |
  |   |
IIASA Reference |
1.9 |
0.5 |
  |
153 |
42 |
  |
UKREF |
1.8 |
0.1 |
|
148 |
|
|
J1 |
1.4 |
0 |
  |
111 |
0 |
  |
H1 |
1.2 |
-0.2 |
-40 |
96 |
-15 |
-35.7 |
UK7 |
1.4 |
0 |
0 |
116 |
5 |
11.9 |
UK8 |
1.5 |
0.1 |
20 |
120 |
9 |
21.4 |
UK9 |
1.7 |
0.3 |
60 |
140 |
29 |
69.0 |
UK10 |
1.6 |
0.2 |
40 |
136 |
25 |
59.5 |
  |
  |   |   |   |   |   |
UNECE |
AOT40 |
DJ1 |
%loss in benefit |
AOT40veg |
DJ1 |
%loss in benefit |
IIASA Reference |
2.5 |
0.6 |
  |
13100 |
2858 |
  |
UKREF |
2.4 |
|
|
13068 |
|
|
J1 |
1.9 |
0 |
  |
10242 |
0 |
  |
H1 |
1.9 |
0 |
0 |
10245 |
3 |
0.1 |
UK7 |
1.9 |
0 |
0 |
10271 |
29 |
1.0 |
UK8 |
1.9 |
0 |
0 |
10274 |
32 |
1.1 |
UK9 |
1.9 |
0 |
0 |
10394 |
152 |
5.3 |
UK10 |
1.9 |
0 |
0 |
10391 |
149 |
5.2 |
  |
  |   |   |   |   |   |
Table A5.2d. AOT40 mean values in UK and UNECE (method b).
UK |
AOT40 |
DJ1 |
%loss in benefit |
  |
Ppm hrs |
  |   |
IIASA Reference |
4.90 |
0.6 |
  |
UKREF |
4.82 |
  |   |
J1 |
4.30 |
0 |
  |
H1 |
4.11 |
-0.29 |
-48.3 |
UK7 |
4.36 |
0.06 |
10.1 |
UK8 |
4.39 |
0.09 |
15.3 |
UK9 |
4.64 |
0.28 |
47.5 |
UK10 |
4.60 |
0.24 |
40.7 |
  |
  |   |   |
UNECE |
AOT40 |
DJ1 |
%loss in benefit |
  |
  |   |   |
IIASA Reference |
5.39 |
0.63 |
  |
UKREF |
5.38 |
  |   |
J1 |
4.76 |
0.00 |
  |
H1 |
4.94 |
0.18 |
28.6 |
UK7 |
4.77 |
0.01 |
1.6 |
UK8 |
4.77 |
0.01 |
1.6 |
UK9 |
4.81 |
0.04 |
6.3 |
UK10 |
4.81 |
0.04 |
6.3
|
  |
IIASA Reference |
J1 |
UK |
63 |
58 |
UNECE |
1995 |
1958
|
Table A5.2f. Permanent crop areas exposed to AOT40 in excess of threshold, 1000 km2.
  |
IIASA Reference |
J1 |
UK |
0.52 |
0.50 |
UNECE |
135.1 |
135.1
|
Scenarios explained in terms of VOC and NOx emissions
The basic scenarios examined are IIASA Reference, UKREF, H1 and J1.
UK10 is J1 with the emissions of the UK at the IIASA Reference values for NOx and VOC, i.e. designed to investigate the non-participation of the UK in further ozone reduction strategies.
UK7 is UK10 with VOC emission ceiling of 1150 kt/yr applied (approaching J1 at 1100); i.e. designed to investigate the non-participation of the UK in reducing NOx emissions.
UK8 is UK7 with NOx reduced from IIASA Reference value of 1181 to 1100 kt/yr
UK9 is UK10 with NOx reduced from IIASA Reference value of 1181 to 1100 kt/yr
These last two scenarios investigate the possibility of exchanging UK NOx reductions in place of UK VOC reductions.
RESULTS
AOT60
a. UK values of AOT60
IIASA Reference to J1 produces a benefit in terms of a reduction in UK AOT60 of 32%. This applies whether mean AOT60, or excess AOT60 over the threshold of 0.4 ppm hours, is considered.
Moving from J1 to UK10, by relaxing the commitments of the UK to IIASA Reference, causes 36% of this benefit to be lost; for UK7, in which VOC emissions move closer to J1, only 6% is lost. These losses are a result of the non-abatement of VOC in the UK.
Taking UK10, if NOx is now reduced below the J1 value to 1100 kt/yr (scenario UK9), whilst VOC remain at IIASA Reference, the loss increases to39%. Taking UK7, if NOx is again reduced to 1100 kt/yr (scenario UK8) loss increases from 6 to 10%. These increased losses demonstrate the increased ozone resulting from abating NOx beyond IIASA Reference whilst VOC remain at the IIASA Reference scenario (UK9) or between the IIASA Reference scenario and J1 (UK8).
Thus, if NOx is reduced below J1, much of the benefit of J1 in reducing ozone in the UK will be lost unless VOC are also reduced. It is not beneficial, in terms of ozone reductions to trade off reductions in VOC, which may be difficult or expensive, with the less expensive reductions in NOx.
Population exposures are similarly affected. IIASA Reference to J1 produces a benefit through reducing population exposure in the UK by 36% (method a) or 33% (method b).
If UK emissions remain at IIASA Reference (scenario UK10) 21% of this benefit is lost. If NOx emissions remain at IIASA Reference whilst VOC emissions approach J1 (scenario UK7), only 2% of this improvement is lost.
Taking UK10, if NOx is reduced below J1, loss increases to 23%.
Taking UK7, if NOx is reduced below J1, loss increases to 6%.
Thus the benefits of J1 to the UK in terms of population exposure to ozone are reduced by 21% if UK remains at the IIASA Reference scenario and by 23% if additional reductions in NOx occur.
c. UNECE values
IIASA Reference to J1 produces a benefit through reducing UNECE AOT60 of 37%, whether mean values or mean excess values over the threshold are considered.
Only the more detailed analysis reveals the losses of up to 12% (of the improvement) observed for the scenarios in which UK VOC is not reduced from the IIASA Reference value of 1351 kt. When VOC is reduced to 1150 kt/yr, losses are still 6%.
Thus, significant losses in benefit also accrue in Europe if UK VOC remains at IIASA Reference.
Correspondingly, population exposures in the UNECE region fall from IIASA Reference to J1 by 39% (method a) or 34% (method b). The more detailed analysis (method b) indicates that leaving UK emissions at IIASA Reference (UK10) results in a 20% loss if this improvement. Reducing VOC closer to J1 (UK7) reduces this loss to 4%. Simultaneous reduction of NOx below J1 to 1100 kt/yr increases each of these losses by 1%.
Therefore, these investigations reinforce the message that at the J1 scenario it is important to reduce the VOC emissions to 1101 kt/yr if ozone is to be maintained at J1 levels. Decreasing NOx and increasing VOC emissions causes AOT60 and population exposure to AOT60 to increase both in the UK and in Europe as a whole.
AOT40
a. UK values of AOT40
IIASA Reference to J1 reduces UK mean AOT40 in excess of 3 ppm hours by 26% (method a) or 24% of mean AOT40 (method b). Use of UK7 results in a loss of 10% of this benefit (method b) and UK10 a loss of 41% of the improvement, showing substantial increases in ozone if VOC are not reduced beyond IIASA Reference. If NOx is reduced below IIASA Reference, the losses in benefit are larger, as high as 48% for the case where VOC remains at IIASA Reference and NOx is reduced to 1100 kt/yr.
b. UNECE values of AOT40
IIASA Reference to J1 produces a reduction in UNECE mean AOT40 in excess of 3 ppm hours of 12 %.
Use of UK7 to 8 results in a loss of 1 to 2% of this European improvement, whilst scenarios UK9 to 10 affect this by 7%. Thus, significant losses in benefit also accrue in Europe if UK VOC emissions remain at IIASA Reference.
c. Vegetation exposure to AOT40
Vegetation exposures could only be calculated using method a. IIASA Reference to J1 produces a reduction of 27% in the UK and 21% in the UNECE region. UK7 produces a loss in these improvements of 12% and UK10, of 60%. If NOx emissions are reduced to 1150 kt/yr whilst VOC remain at IIASA Reference, 69% of the benefit of J1 for vegetation exposure to ozone in the UK is lost. Losses in the UNECE of about 5% accompany this.
d. Crop exposure to AOT40
Of the 67,545 km2 of arable crop land in the UK, 66,041 km2 fall in EMEP grid cells for which RAINS indicated AOT40 levels in excess of the critical level for crops. Therefore, the maximum area that could be exposed, according to RAINS, is 66,041 km2.
There is additional data for a total of 522 km2 permanent crops grown in the UK. According to MAFF, permanent crops comprise orchards, hops, and other fruit.
There is a 7.5% reduction in the area of UK arable crops exposed to excess levels of AOT40 upon moving from IIASA Reference to J1. The area concerned decreases from 63,000 to 58,000 km2.
The attached map A5.1 shows the location of arable crops in the UK, and the location of those exposed, for the two scenarios, is shown on maps A5.2 and A5.3. The decrease in area exposed lies in Northern Ireland and S Scotland.
Since the area of permanent crops in the UK is rather small, the observed increases in protection levels are also small.
There are also considerable improvements in AOT40 levels in the areas of arable crops that remain exposed. Crop exposure has specifically been calculated to fall from 178 ppm hours 1000 km2 (IIASA Reference) to 132 ppm hours 1000 km2 (J1) in the UK.
Maps A5.2 and A5.3 show the crop exposure in each EMEP grid cell in the UK for the two scenarios. The biggest reductions in crop exposure are in the areas where most of the crops are to be found. In (17,14) exposure falls from 356 to 266 ppm hours 100 km2 in excess of the threshold; whilst in (18,14) it falls from 307 to 247; and in (17,13) from 244 to 184. These three grid cells hold the largest areas of arable crops in the UK.
Conclusions
These investigations produce the message that if the full benefit of a J1 scenario is to be realised in the UK as far as exposures of humans to AOT60 and vegetation to AOT40 is concerned, it is important to reduce the VOC emissions to 1101 kt/yr. This maintains ozone at J1 levels. Decreasing NOx below J1 and allowing VOC emissions to increase above J1, in at attempt to trade VOC reductions for NOx reductions, causes AOT60 and population exposure to AOT60 to increase both in the UK and in Europe as a whole.
For AOT40 and AOT60 the percentage of the benefit of J1 which is lost as a result of switching to the UK suite of scenarios is rather large, both for human exposure and vegetation exposure. Only the UK7 scenario, in which VOC is reduced to 1150 kt/yr whilst NOx remains at IIASA Reference, shows a relatively small increase in ozone exposures compared to J1.
The J1 scenario has considerable benefits in reducing crop exposure to AOT40 in the UK. Application of alternative UK scenarios would show similar trends as seen for AOT40 vegetation exposure.
ACIDIFICATION
Relevant scenarios
Apart from the basic scenarios, two additional scenarios are examined in which UK sulphur emissions are increased from J1 (499 kt SO2/yr) to 525 (UKS11) and 700 (UKS13). It is the effect of the increasing S emissions that is being examined here.
Methods and Results
RAINS was used to extract areas protected from acidification in different countries under the various scenarios. Maps of areas protected were also produced in order that effects in individual grid cells could be examined.
This has not been calculated.
(ii) Additional scenarios
The maximum change for J1 to UKS11 is in the UK where area protection from acidification decreases by 1.3% in a Welsh/English grid cell, EMEP (16,14) and by 0.7% in the N. Pennines (16,15). Changes in the rest of the UK, and outside, are very small, less than 0.5%
The maximum change for J1 to UKS13 is in the UK where protection decreases by 9 and 5% in grid cells (16,14) and (16,15) respectively. This means that 35% of each of these grid cells remains unprotected under UKS13 (compared to 30% and 26% at J1). The main areas affected by the increase in S emissions are all of Wales, N England and S Scotland.
On moving from J1 to UKS13, losses of between 2 and 5% in area protected occur in coastal S Norway, S Wales, parts of Scotland and parts of E. Anglia. Changes of 1 or 2 % occur in the rest of the UK (except N Ireland), coastal S Norway and Sweden, and the sensitive area along the German/Netherlands border.
b. Changes in area protection in countries
Table A5.3 gives the country changes in areas unprotected from acidification resulting from the basic scenarios.
(i) Basic scenarios
IIASA Reference to J1 reduces UK areas unprotected from acidification by 46%. H1 is slightly less beneficial in the UK at 45%.
IIASA Reference to J1 reduces UNECE areas unprotected from acidification by 55%. Use of H1 reduces this benefit by 69%. Countries bearing this loss are mostly the non-EU countries, although there is some deterioration in Germany.
(ii) Additional scenarios
UKS11: Increasing SO2 to 525 kt/yr instead of 499 kt/yr
This decreases this improvement in the UK by less than 4%, so that the area which is no longer protected is 0.2% of UK ecosystems sensitive to acidification. In the ECE region, the percentage improvement does not change significantly. Very small losses occur in Germany, Netherlands and Norway.
UKS13: Increasing SO2 to 700 kt/yr instead of 499 kt/yr
This decreases the improvement in the UK by 26% so that the total area unprotected increases to 5.1% (compared to 6.6% at J1). This translates to a loss of protection for 140,000 hectares. In the UNECE the improvement is decreased by less than 0.1%, but in Norway a further 0.3% of ecosystems lose protection. Although 0.1% appears to be a small change; 276,000 hectares lose protection as compared with J1.
Conclusions
In the UK the benefits associated with scenario J1 are similar to those associated with H1. However, this change in scenario has more significant impacts, in terms of a greater reduction in benefits, when analysed for the UNECE as a whole. The additional scenarios UKS11 and UKS13 indicate the likely impacts of relaxing the UK SO2 emission ceiling. A relaxation in the UK SO2 emission ceiling of 201kt/yr being associated with 140,000 hectares of unprotected UK land.
EUTROPHICATION
Methods and Results
RAINS was used to identify areas protected from eutrophication in different countries under the various scenarios.
Changes in area protection in countries for the basic scenarios
a. UK
These are shown in Table 4. IIASA Reference to J1 or H1 decreases UK areas unprotected from eutrophication by 50%.
By using the additional scenario UK1a, increases in NH3 emissions relative to J1 are compensated for by reductions in NOx. However, in UK1, NH3 emissions are substantially larger than in J1 or UK1a whilst NOx emissions remain at J1. Therefore these losses can be attributed to the increase in NH3 emissions from 264 kt/yr (J1) to 297 kt/yr (FOURTH).
b. UNECE
IIASA Reference to J1 reduces UNECE areas unprotected from eutrophication by 19%, IIASA Reference to H1 by 2%.
Neither UK1a nor UK1 affect these values, nor any of the protection levels in non-EU countries (with the exception of UK1 which slightly increases exceedence in Switzerland).
In the EU, use of UK1a or UK1 increases exceedence in Belgium, Denmark, Germany, Luxembourg and the Netherlands, with UK1 having the most significant effect.
Conclusions
A decrease in NOx emissions can compensate for a small increase in NH3 emissions in terms of eutrophication. However, if NH3 emissions remain at IIASA Reference levels, and NOx is not reduced, there are very dramatic losses in eutrophication protection levels in the UK compared to J1, and additional losses are observed in nearby EU countries.
Table A5.3. Country areas unprotected from acidification as a function of scenario (in percentage terms and as hectares) (
Country |
IIASA Reference |
Base Line |
J1 |
D UK1a |
D UK1 |
H1 |
IIASA Reference |
Base Line |
J1 |
D UK1a |
D UK1 |
H1 |
  |
(%) |
  |   |   |   |   |
(ha) |
  |   |   |   |   |
Austria |
3.2 |
3.2 |
1.4 |
0.0 |
0.0 |
2.0 |
162 |
161 |
68 |
0 |
0 |
99 |
Belgium |
22.1 |
22.0 |
7.3 |
0.0 |
0.1 |
7.5 |
155 |
155 |
51 |
0 |
1 |
52 |
Denmark |
2.3 |
2.2 |
1.2 |
0.0 |
0.0 |
1.5 |
9 |
9 |
5 |
0 |
0 |
6 |
Finland |
4.3 |
4.3 |
2.8 |
0.0 |
0.0 |
4.2 |
1184 |
1180 |
756 |
0 |
2 |
1150 |
France |
0.7 |
0.7 |
0.3 |
0.0 |
0.0 |
0.3 |
218 |
217 |
84 |
0 |
0 |
88 |
Germany |
15.8 |
15.5 |
5.5 |
0.0 |
0.1 |
7.1 |
1616 |
1594 |
567 |
2 |
11 |
727 |
Greece |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0 |
0 |
0 |
0 |
0 |
0 |
Ireland |
1.3 |
1.2 |
0.9 |
0.0 |
0.0 |
1.0 |
12 |
11 |
8 |
0 |
0 |
9 |
Italy |
0.7 |
0.7 |
0.5 |
0.0 |
0.0 |
0.5 |
74 |
73 |
51 |
0 |
0 |
58 |
Luxembg |
6.0 |
5.9 |
0.8 |
0.0 |
0.0 |
0.9 |
5 |
5 |
1 |
0 |
0 |
1 |
Netherlands |
60.4 |
60.0 |
23.6 |
0.1 |
0.5 |
23.8 |
193 |
192 |
75 |
0 |
2 |
76 |
Portugal |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
1 |
1 |
1 |
0 |
0 |
1 |
Spain |
0.2 |
0.2 |
0.2 |
0.0 |
0.0 |
0.2 |
18 |
18 |
17 |
0 |
0 |
17 |
Sweden |
4.1 |
4.1 |
3.0 |
0.0 |
0.0 |
3.7 |
1607 |
1580 |
1166 |
2 |
17 |
1420 |
UK |
12.3 |
11.5 |
6.6 |
0.1 |
1.9 |
6.8 |
1180 |
1107 |
636 |
7 |
182 |
647 |
EU15 |
4.3 |
4.2 |
2.3 |
0.0 |
0.1 |
2.9 |
6434 |
6302 |
3486 |
12 |
216 |
4352 |
  |
  |
  |   |   |   |   |   |   |   |   |   |   |
Albania |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0 |
0 |
0 |
0 |
0 |
0 |
Belarus |
20.9 |
20.8 |
13.6 |
0.0 |
0.0 |
20.6 |
1049 |
1048 |
686 |
0 |
1 |
1034 |
Bosnia-H |
9.0 |
9.0 |
0.0 |
0.0 |
0.0 |
9.0 |
131 |
131 |
0 |
0 |
0 |
131 |
Bulgaria |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0 |
0 |
0 |
0 |
0 |
0 |
Croatia |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0 |
0 |
0 |
0 |
0 |
0 |
Czech Rep |
17.8 |
17.7 |
3.0 |
0.0 |
0.1 |
10.7 |
474 |
470 |
81 |
0 |
2 |
285 |
Estonia |
0.6 |
0.6 |
0.4 |
0.0 |
0.0 |
0.5 |
11 |
11 |
8 |
0 |
0 |
10 |
Hungary |
22.9 |
22.9 |
13.0 |
0.0 |
0.0 |
18.9 |
65 |
65 |
37 |
0 |
0 |
54 |
Latvia |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0 |
0 |
0 |
0 |
0 |
0 |
Lithuania |
4.1 |
4.1 |
0.3 |
0.0 |
0.0 |
4.1 |
78 |
78 |
5 |
0 |
0 |
77 |
Norway |
11.6 |
11.4 |
8.7 |
0.0 |
0.2 |
10.1 |
2571 |
2521 |
1928 |
6 |
45 |
2236 |
Poland |
7.8 |
7.7 |
1.0 |
0.0 |
0.0 |
6.4 |
1356 |
1344 |
173 |
0 |
1 |
1117 |
Moldova |
2.4 |
2.4 |
0.9 |
0.0 |
0.0 |
2.4 |
29 |
29 |
10 |
0 |
0 |
29 |
Romania |
0.8 |
0.8 |
0.3 |
0.0 |
0.0 |
0.8 |
51 |
51 |
17 |
0 |
0 |
51 |
Russia |
1.2 |
1.2 |
0.3 |
0.0 |
0.0 |
1.2 |
4074 |
4072 |
1027 |
0 |
1 |
4061 |
Slovakia |
14.7 |
14.7 |
7.4 |
0.0 |
0.0 |
13.0 |
295 |
295 |
149 |
0 |
0 |
261 |
Slovenia |
2.1 |
2.1 |
0.4 |
0.0 |
0.0 |
2.0 |
19 |
19 |
4 |
0 |
0 |
19 |
Switzerland |
4.6 |
4.6 |
2.8 |
0.0 |
0.0 |
3.2 |
57 |
56 |
35 |
0 |
0 |
40 |
Macedonia |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0 |
0 |
0 |
0 |
0 |
0 |
Ukraine |
7.8 |
7.8 |
2.9 |
0.0 |
0.0 |
7.7 |
643 |
643 |
237 |
0 |
1 |
636 |
Yugoslavia |
0.1 |
0.1 |
0.0 |
0.0 |
0.0 |
0.1 |
2 |
2 |
0 |
0 |
0 |
2 |
Non-EU |
2.5 |
2.5 |
1.0 |
0.0 |
0.0 |
2.3 |
10907 |
10835 |
4398 |
7 |
51 |
10042 |
  |
  |
  |   |   |   |   |   |   |   |   |   |   |
TOTAL |
3.0 |
3.0 |
1.4 |
0.0 |
0.0 |
2.5 |
17340 |
17137 |
7884 |
19 |
267 |
14394
|
Table A5.4. Country areas unprotected from eutrophication as a function of scenario (in percentage terms and as hectares) (Delta indicates difference between scenario and J1, a positive value indicating a greater area unprotected than for J1).
Country |
IIASA Reference |
Base Line |
J1 |
D UK1a |
D UK1 |
H1 |
IIASA Reference |
Base Line |
J1 |
D UK1a |
D UK1 |
H1 |
  |
(%) |
  |   |   |   |   |
(ha) |
  |   |   |   |   |
Austria |
57.7 |
57.8 |
41.5 |
0.0 |
0.0 |
46.8 |
3445 |
3447 |
2476 |
2 |
2 |
2796 |
Belgium |
96.5 |
96.6 |
81.3 |
0.2 |
0.4 |
83.6 |
677 |
678 |
571 |
2 |
3 |
587 |
Denmark |
37.8 |
38.2 |
26.8 |
0.1 |
0.2 |
29.0 |
119 |
120 |
84 |
0 |
1 |
91 |
Finland |
15.3 |
15.4 |
10.5 |
0.0 |
0.0 |
13.1 |
2530 |
2535 |
1731 |
8 |
6 |
2158 |
France |
79.2 |
79.2 |
68.1 |
0.0 |
0.0 |
70.9 |
25159 |
25161 |
21630 |
3 |
4 |
22525 |
Germany |
89.5 |
89.6 |
71.3 |
0.1 |
0.1 |
72.9 |
9184 |
9189 |
7311 |
11 |
15 |
7479 |
Greece |
9.6 |
9.6 |
3.5 |
0.0 |
0.0 |
8.6 |
236 |
236 |
85 |
0 |
0 |
212 |
Ireland |
6.4 |
6.4 |
3.3 |
0.0 |
0.0 |
5.9 |
58 |
58 |
30 |
0 |
0 |
53 |
Italy |
31.7 |
31.7 |
21.0 |
0.0 |
0.0 |
28.9 |
3795 |
3795 |
2512 |
1 |
1 |
3460 |
Luxembg |
91.5 |
91.6 |
72.6 |
0.1 |
0.1 |
75.6 |
81 |
81 |
64 |
0 |
0 |
67 |
Netherlands |
91.0 |
91.1 |
87.0 |
0.1 |
0.1 |
87.0 |
291 |
292 |
278 |
0 |
0 |
278 |
Portugal |
27.5 |
27.5 |
22.4 |
0.0 |
0.0 |
26.4 |
776 |
776 |
632 |
0 |
0 |
747 |
Spain |
13.9 |
13.9 |
10.2 |
0.0 |
0.0 |
11.6 |
1185 |
1186 |
868 |
1 |
2 |
987 |
Sweden |
4.7 |
4.8 |
3.3 |
0.0 |
0.0 |
3.9 |
891 |
894 |
619 |
3 |
3 |
737 |
UK |
1.4 |
2.6 |
0.7 |
0.0 |
0.4 |
0.7 |
126 |
238 |
62 |
1 |
34 |
63 |
EU15 |
40.1 |
40.3 |
32.3 |
0.0 |
0.1 |
35.0 |
44554 |
48686 |
38954 |
31 |
72 |
42240 |
  |
  |
  |   |   |   |   |   |   |   |   |   |   |
Albania |
18.9 |
18.9 |
15.2 |
0.0 |
0.0 |
17.5 |
200 |
200 |
162 |
0 |
0 |
185 |
Belarus |
25.7 |
25.7 |
18.4 |
0.0 |
0.0 |
25.1 |
1293 |
1294 |
924 |
1 |
1 |
1261 |
Bosnia-H |
50.0 |
50.0 |
31.7 |
0.0 |
0.0 |
46.3 |
724 |
724 |
460 |
0 |
0 |
671 |
Bulgaria |
68.7 |
68.7 |
25.5 |
0.0 |
0.0 |
65.8 |
3398 |
3398 |
1261 |
0 |
0 |
3258 |
Croatia |
6.8 |
6.8 |
3.6 |
0.0 |
0.0 |
6.5 |
18 |
18 |
10 |
0 |
0 |
17 |
Czech Rep |
87.0 |
87.0 |
74.5 |
0.0 |
0.1 |
82.8 |
2312 |
2313 |
1980 |
2 |
2 |
2200 |
Estonia |
39.1 |
39.1 |
31.7 |
0.1 |
0.0 |
36.0 |
739 |
739 |
599 |
0 |
0 |
681 |
Hungary |
52.8 |
52.8 |
44.1 |
0.0 |
0.0 |
51.8 |
150 |
151 |
126 |
0 |
0 |
148 |
Latvia |
57.2 |
57.2 |
52.2 |
0.0 |
0.0 |
56.8 |
1553 |
1553 |
1418 |
1 |
1 |
1543 |
Lithuania |
71.6 |
71.6 |
47.2 |
0.0 |
0.0 |
71.4 |
1357 |
1357 |
895 |
0 |
0 |
1353 |
Norway |
2.0 |
2.0 |
0.3 |
0.0 |
0.0 |
0.4 |
280 |
285 |
35 |
0 |
1 |
58 |
Poland |
93.5 |
93.5 |
85.9 |
0.0 |
0.0 |
92.6 |
16217 |
16219 |
14895 |
5 |
5 |
16062 |
Moldova |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0.0 |
0 |
0 |
0 |
0 |
0 |
0 |
Romania |
40.1 |
40.1 |
28.4 |
0.0 |
0.0 |
39.2 |
2497 |
2497 |
1770 |
0 |
0 |
2444 |
Russia |
7.6 |
7.6 |
6.7 |
0.0 |
0.0 |
7.5 |
26263 |
26286 |
23131 |
7 |
5 |
25877 |
Slovakia |
75.2 |
75.3 |
46.8 |
0.0 |
0.0 |
71.1 |
1509 |
1510 |
938 |
1 |
1 |
1427 |
Slovenia |
17.3 |
17.3 |
9.6 |
0.0 |
0.0 |
15.4 |
157 |
157 |
87 |
0 |
0 |
140 |
Switzerland |
82.8 |
82.8 |
64.6 |
0.0 |
0.1 |
73.5 |
1886 |
1887 |
1472 |
1 |
1 |
1674 |
Macedonia |
14.9 |
14.9 |
10.2 |
0.0 |
0.0 |
13.0 |
159 |
159 |
108 |
0 |
0 |
138 |
Ukraine |
64.7 |
64.7 |
46.8 |
0.0 |
0.0 |
64.4 |
5332 |
5332 |
3860 |
0 |
0 |
5303 |
Yugoslavia |
58.4 |
58.4 |
37.5 |
0.0 |
0.0 |
55.9 |
1992 |
1992 |
1278 |
0 |
0 |
1909 |
Non-EU |
16.0 |
16.1 |
13.1 |
0.0 |
0.0 |
15.6 |
68037 |
68072 |
55407 |
19 |
18 |
66350 |
  |
  |
  |   |   |   |   |   |   |   |   |   |   |
TOTAL |
21.4 |
21.4 |
17.3 |
0.0 |
0.0 |
19.9 |
116591 |
116757 |
94360 |
51 |
90 |
108590 |
  |
  |
  |   |   |   |   |   |   |   |   |   |   |
HUMAN EXPOSURE TO SECONDARY PARTICULATE MATERIAL
Method and Results
ASAM was used to calculate the concentrations of SO4, NO3 and NH4 aerosols under the four standard scenarios IIASA Reference, UKREF, H1 and J1. Variants UKS11 and UKS13 were examined which are based on J1 but have higher emissions of SO2 in the UK. Exposures were calculated by assuming that exposure to unit mass of any of the three components contributed equally to the overall exposure. No threshold is used in calculating the population exposures. The results are shown in Table A5.5.
(i) Basic Scenarios
In the UK, IIASA Reference to J1 reduces human exposure to secondary particulates by 14%, incorporating a 31% reduction in the sulphate aerosol exposure.
The abatement of emissions from IIASA Reference to J1 causes a 23% reduction in UNECE human exposure to secondary particulates, which incorporates a 25% reduction in UNECE human exposure to sulphate aerosol. H1 is rather less beneficial owing to the lack of reductions in non-EU countries. Moving to UK1 has little effect on UNECE exposure levels
/B<(i)> Additional Scenarios
Moving from J1 to UKS11 has a negligible influence on these changes.
However, moving from J1 to UKS13 reduces the UNECE benefit to overall human exposure by 2%, whilst the UK benefit is reduced by 13%, a substantial change.
Units: person g.
SCENARIO |
SO4 |
NO3 |
NH4 |
TOTAL |
UNECE |
  |
  |   |   |
IIASA Reference |
1922 |
4737 |
1307 |
7966 |
UKREF |
1903 |
4738 |
1311 |
7952 |
J1 |
1439 |
3714 |
1003 |
6155 |
H1 |
1667 |
3895 |
1091 |
6652 |
UKS11 |
1441 |
3714 |
1003 |
6158 |
UKS13 |
1458 |
3714 |
1003 |
6174 |
  |
  |
  |   |   |
UK |
  |
  |   |   |
IIASA Reference |
118 |
342 |
88 |
547 |
UKREF |
108 |
342 |
90 |
541 |
J1 |
82 |
315 |
73 |
470 |
H1 |
84 |
316 |
75 |
474 |
UKS11 |
83 |
315 |
73 |
472 |
UKS13 |
92 |
315 |
73 |
480 |
Conclusion
Increasing the UK SO2 emission ceiling from 499 kt/yr (J1) to 525 (UKS11) has little effect on human exposure to particulates. However increasing the ceiling to 700 (UKS13) has a very significant effect in increasing human exposure to particulate matter in the UK, and effects are also seen in other parts of the UNECE region.
OVERALL CONCLUSIONS
Almost any move away from J1 causes significant losses to the benefits, which would accrue in the UK as a result of moving to J1 from IIASA Reference. In particular, VOC emissions need to be reduced in order to combat tropospheric ozone. Increased VOC emissions cannot be compensated for by reduced NOx emissions below J1.
As far as acidification is concerned, NOx and NH3 emission can be traded. However, if NH3 emissions remain at IIASA Reference and NOx is not reduced below IIASA Reference, there are very significant increases in eutrophication in the UK. If NOx is reduced below IIASA Reference, then VOC emissions need to be reduced below J1 in order that tropospheric ozone does not increase.
Significant increases in SO2 emissions above J1 cause significant increases in acidification in the UK. Human exposure to secondary particulates in this scenario also increases.
The scenario UK7 was the only one of the additional scenarios which did not compare rather unfavourably with J1 for tropospheric ozone formation.
(1) More specifically, RAINS converts AOT60 values below this threshold to zero, but leaves values above the threshold unchanged.
(2) In this case, all AOT60 values are the excess over the 0.4 ppm hour threshold.