presentació de Xavier Querol on resum l’estat dels treballs que s’estan realitzant a l’estat espanyol de l’avaluació de la contaminació per ozó troposfèric a Espanya per elaborar Pla estatal d’ozó que està elaborant el Ministerio de Transición Ecológica y Reto Demográfico.

1. CONTAMINACIÓ PER OZÓ TROPOSFÈRIC A ESPAÑA
O3 (µgm-3)
X. Querol1, A. Alastuey1, J. Massagué1, A. Canals1, N. Pérez1, C. Reche1, M. in ‘t Veld1,
M.T. Pay2, H. Petetin2, M. Guevara2, O. Jorba2, C. Pérez García-Pando2,
G. Gangoiti3,
E.Mantilla4, J.J.Diéguez4, A. Muñoz4, E. Borras4, T. Vera4, M.Millán4,
M.Escudero5,
E. Monfort6, I. Celades6, V. Sanfelix6, A. López-Lilao6,
J. de la Rosa7, A. Sánchez de la Campa7,
C. Alves8
1Instituto de Diagnóstico Ambiental y Estudios del Agua (IDAEA-CSIC), Barcelona, Spain
2Department Earth Sciences, Barcelona Supercomputing Centre (BSC), Barcelona, Spain
3E.T.S. Ingeniería de Bilbao, Dpto. Ingeniería Química y del Medio Ambiente, Universidad País Vasco UPV/EHU, Bilbao, Spain
4Centro de Estudios Ambientales del Mediterráneo, CEAM, Unidad Asociada al CSIC, Valencia, Spain
5Departamento Física Aplicada, Escuela Politécnica Superior, Universidad de Zaragoza, Spain
6Instituto de Tecnología Cerámica, Universitat Jaume I (ITC-UJI), Castelló, Spain
7Departamento de Ciencia de la Tierra, Universidad de Huelva (UHU), Spain
8Universidade de Aveiro (UA), Portugal
Presentació Campanya Ozó 2022, 16 de Maig de 2022

2. 2008-2020 (TRENDS>) & 2015-2019 (SPATIAL VARIABILITY) DATA SERIES
AEMET 2018
364 AQMS 2015-2019, 311 AQMS 2008-2019
KÖPPEN CLIMATE HOURS INSOLATION
RAINFALL MAXIMUM TEMPERATURE
Massagué et al.., 2022 submitted
Massagué et al.., 2022 submitted

3. O3 mean April-Sept 2015-2019
2008-2020 (TRENDS>) & 2015-2019 (SPATIAL VARIABILITY) DATA SERIES
Massagué et al.., 2022 submitted

4. 2008-2020 (TRENDS>) & 2015-2019 (SPATIAL VARIABILITY) DATA SERIES
Massagué et al.., 2022 submitted
2008-2019 trends O3 mean April-Sept

5. SOMO35 2015-2019
2008-2020 (TRENDS>) & 2015-2019 (SPATIAL VARIABILITY) DATA SERIES
Massagué et al.., 2022 submitted

6. 2008-2020 (TRENDS>) & 2015-2019 (SPATIAL VARIABILITY) DATA SERIES
Massagué et al.., 2022 submitted
2008-2019 SOMO35

7. Exceedances/yr 120 DM8h 2015-2019
2008-2020 (TRENDS>) & 2015-2019 (SPATIAL VARIABILITY) DATA SERIES
Massagué et al.., 2022 submitted

8. 2008-2020 (TRENDS>) & 2015-2019 (SPATIAL VARIABILITY) DATA SERIES
Massagué et al.., 2022 submitted
2008-2019 Exceedances/yr 120 DM8h

9. 4th highest DM8H 2015-2019
EVOLUCIÓN 4º SUPERIOR MD8H 2008-2019
2008-2020 (TRENDS>) & 2015-2019 (SPATIAL VARIABILITY) DATA SERIES
Massagué et al.., 2022 submitted

10. 4th highest DM8H 2015-2019
2008-2020 (TRENDS>) & 2015-2019 (SPATIAL VARIABILITY) DATA SERIES
Massagué et al.., 2022 submitted
2008-2019 4th highest DM8H

11. Information threshold 180 2015-2019
2008-2020 (TRENDS>) & 2015-2019 (SPATIAL VARIABILITY) DATA SERIES
Massagué et al.., 2022 submitted

12. 2008-2020 (TRENDS>) & 2015-2019 (SPATIAL VARIABILITY) DATA SERIES
2008-2019 Information threshold 180
Massagué et al.., 2022 submitted

13. AOT40 vegetation 2015-2019
2008-2020 (TRENDS>) & 2015-2019 (SPATIAL VARIABILITY) DATA SERIES
Massagué et al.., 2022 submitted

14. 2008-2020 (TRENDS>) & 2015-2019 (SPATIAL VARIABILITY) DATA SERIES
Massagué et al.., 2022 submitted
2008-2019 AOT40 vegetation

15. 2020 & 2021
Eionet Report – ETC/ATNI 2021/8
https://www.eionet.europa.eu/etcs/etc-atni/products/etc-atni-reports/etc-atni-report-8-2021-status-report-of-air-quality-in-europe-for-year-2020-using-validated-and-up-to-date-data
O3, 92.3 percentile 8hDM
2017 2018 2019
2020
2008/EC/50 O3 8hDM
2021 WHO O3 8hDM

16. REMOTE (APR-SEP) NO2 OMI-NASA 2015-2019
NO2 2015-2019 & 2008-2018
INTERESTING: DIFFERENT TRENDS OMI/AQMS FOR NO2, BUT FOR O3, SLOPES IN OMI SEEM MORE APPROPRIATE
Massagué et al.., 2022 submitted

17. NO2 2015-2019 & 2008-2018
INTERESTING: DIFFERENT TRENDS OMI/AQMS FOR NO2, BUT FOR O3, SLOPES IN OMI SEEM MORE APPROPRIATE
2008-2019 REMOTE (APR-SEP) NO2 OMI-NASA
Massagué et al.., 2022 submitted

18. 80
90
100
110
120
130
140
2000 2005 2010 2015 2020
TRÁFICO URB. FONDO INDUSTRIAL RUR. FONDO
80
1080
2080
3080
4080
5080
6080
7080
8080
2000 2005 2010 2015 2020
TRÁFICO URB. FONDO INDUSTRIAL RUR. FONDO
PERCENTILE 93.2 SOMO35
0
1
2
3
4
5
6
7
8
9
2000 2005 2010 2015 2020
TRÁFICO RUR. FONDO INDUSTRIAL URB. FONDO
EXCEEDANCES 180/SITE/YEAR
2020 & 2021
-100%
-80%
-60%
-40%
-20%
0%
20%
01/03/2020 09/06/2020 17/09/2020 26/12/2020 05/04/2021 14/07/2021 22/10/2021 30/01/2022
01/06 a 31-07/2021
-10%
01/06 a 31/07/2020
-20%
N vehicles/day
Barcelona
with respect to
01-13/03/2020
2020 2021
TOTAL 431 414
EXCEED 56 27
25 MAD 16 MAD
13 AND 5 AND
4 CV 2 CV
4 CLM 1 CLM
3 CyL 1 CyL
3 CAT 1 CAT
2 EXT 1 EXT
1 PV
1 ARA
Triennal exceedabces of 120

19. Querol X., et al., 2021. Sci Total Environ.
2020 & 2021

20. C. Autónoma O3 abr.-sep.
niveles OMS
temporada O3
AOT40 veg. SOMO35 supera. VOLP p93.2 MD8h 4rta mayor MD8h supera. UI
Andalucía Bédar (SF) Las Fuentezuelas (sf) Víznar (RFREM) Campillos (RF) Víznar (RFREM) Víznar (RFREM) Víznar (RFREM) Centro (UF)
Aragón La Cerollera (RI) Castelnou (RI) Castelnou (RI) La Cerollera (RI) Castelnou (RI) Castelnou (RI) Castelnou (RI) Torrelisa (RFREM)
Asturias Niembro (RFREM) Niembro (RFREM) Niembro (RFREM) Niembro (RFREM) Blimea (SF) Niembro (RFREM) Niembro (RFREM) Jard. Juan XXIII (UT)
Islas Baleares Mahón (RFREM) St. A. Portmany (SF) St. A. Portmany (SF) Mahón (RFREM) Mahón (RFREM) Mahón (RFREM) Mahón (RFREM) Hospital J. March (RF)
C. Valenciana Morella (RI) Zarra (RFREM) Zarra (RFREM) Zarra (RFREM) Zarra (RFREM) Zarra (RFREM) Zarra (RFREM) Villar Arzobispo (RF)
Islas Canarias Costa Teguise (SI) Costa Teguise (SI) Costa Teguise (SI) Costa Teguise (SI) V. Pájaros-Sta Cruz (UI) Costa Teguise (SI) Costa Teguise (SI) Caletilla (UI)
Cantabria Los Tojos (RF) Reinosa (UF) Reinosa (UF) Los Tojos (RF) Los Tojos (RF) Los Tojos (RF) Los Tojos (RF) Los Tojos (RF)
Cataluña Montsec (RFREM) Montsec (RFREM) Tona (Z. Esportiva) (RF) Montsec (RFREM) Tona (Z. Esportiva) (RF) Tona (Z. Esportiva) (RF) Tona (Z. Esportiva) (RF) Tona (Z. Esportiva) (RF)
Castilla La M. S. P. Montes (RFREM) S. P. Montes (RFREM) S. P. Montes (RFREM) S. P. Montes (RFREM) S. P. Montes (RFREM) S. P. Montes (RFREM) Toledo2 (SF) Azuqueca Henares (SF)
Castilla y León El Maillo (RF) El Maillo (RF) Segovia 2 (UT) El Maillo (RF) Segovia 2 (UT) Segovia 2 (UT) Segovia 2 (UT) Cortiguera (SI)
Extremadura Plasencia (SF) Monfragüe (RF) Plasencia (SF) Plasencia (SF) Cáceres (UF) Cáceres (UF) Plasencia (SF) Cáceres (UF)
Galicia Fraga R. (F-2) (RI) Fraga R. (F-2) (RI) Fraga R. (F-2) (RI) Fraga R. (F-2) (RI) Fraga R. (F-2) (RI) Fraga R. (F-2) (RI) Fraga R. (F-2) (RI) Noia (RFREM)
Madrid El Atazar (RFREM) El Atazar (RFREM) Orusco de T. (RFREM) El Atazar (RFREM) El Atazar (RFREM) El Atazar (RFREM) El Atazar (RFREM) El Atazar (RFREM)
Murcia Alumbres (SI) Alumbres (SI) Alumbres (SI) Alumbres (SI) Caravaca (RF) Alumbres (SI) Alcantarilla (SI) -
Navarra Funes (RI) Tudela (RI) Tudela (RI) Funes (RI) Tudela (RI) Tudela (RI) Funes (RI) -
País Vasco Valderejo (RFREM) Valderejo (RFREM) Valderejo (RFREM) Valderejo (RFREM) Valderejo (RFREM) Valderejo (RFREM) Valderejo (RFREM) Valderejo (RFREM)
La Rioja Alfaro (RI) Alfaro (RI) Alfaro (RI) Alfaro (RI) Alfaro (RI) Alfaro (RI) Alfaro (RI) -
O3 IN SPAIN
AUTONOMOUS REGION
O3 Apr.-Sep.
(µg m-3
)
AOT40 veg.
(μg m-3
hour)
SOMO35
(μg m-3
day)
Exc. TV-HP
(days year-1
)
p93.2
(µg m-3
)
4th higehst 8hDM
(µg m-3
)
Exc. Inf. T.
(hours year-1
)
Andalucía 99 31633 10776 59 131 145 2,4
Aragón 92 22902 8336 26 121 134 0,4
Asturias 75 6367 5091 5 106 124 1,0
Islas Baleares 91 25110 8648 27 122 133 0,2
Comunidad Valenciana 102 33420 10875 64 131 144 1,2
Islas Canarias 75 6397 5096 7 105 116 0,2
Cantabria 67 5096 4392 3 103 119 0,2
Cataluña 101 29800 10434 54 135 161 17,6
Castilla La Mancha 99 24332 9664 47 127 153 10,4
Castilla y León 88 21964 8537 32 123 138 0,4
Extremadura 84 19465 7182 40 125 147 3,6
Galicia 73 7626 5191 14 111 136 4,2
Madrid 95 27597 10607 72 141 163 9,8
Murcia 84 21911 8236 25 119 134 0,3
Navarra 82 18902 6677 24 120 136 0
País Vasco 81 16151 8034 30 122 140 0,8
La Rioja 73 15256 5365 15 114 127 0

21. Madrid (141/72)
Cataluña (135/54)
Comunidad Valenciana (131/64)
Andalucía (131/59)
Castilla La Mancha (127/47, R4, Puertollano)
Largely exceed the target values,
with also large local emissions of
precursors
Extremadura (125/40)
Castilla y León (123/32)
País Vasco (122/30)
Baleares (122/27)
Aragón (121/26)
Exceed target values or are close
to, with lower local emission of
precursors than R3 and affected
by R3
Navarra (120/24)
Murcia (119/25)
La Rioja (114/15)
Galicia (111/14)
Asturias (106/5)
Canarias (105/7)
Cantabria (103/3)
Climate regions not favouring O3
formation, with lower local
emission than R3
Non-compliance
Compliance
but
exceeding
WHOAQGs
(µg m-3 p93.2 of the site with the highest records/number of days per year exceeding the TV)
R3 & R4
R2
R1
The whole Spanish territory receives external contributions of transboundary O3, even
external to EU, R1 receives also diluted contributions from other Spanish basins, and
relatively low local ones (low emissions of precursors and specific low O3 climate patterns):
• Asturias
• Canarias
• Cantabria
• Galicia
AS reported for R1 but contributions of neighbouring O3 hotspot basins (C.
Madrid, Portugal, Barcelona, Tarragona) are higher:
• País Vasco
• Extremadura
• Murcia
• Navarra
• CyL
• CLM
• Aragón
• Baleares
• Rioja
O3 Hotspot basins with very relevant contributions of O3
generated into the basin from local precursors:
• Madrid
• N Barcelona, N Tarragona
• Guadalquivir B.
• Inner C. Valenciana
R1 R2
R3
O
3
(µg
m
-3
)
O3 Target value 2008/50/CE
BL BL BL EL
BL, Background levels
NE, Episodic levels
C3. Local contribution (from the hotspot basbn)
C2. Regional contr. (Eu & other Spanish basins)
C1. Hemispheric & stratospheric contribution
As for R3, but very specific local
emissions of precursors causing
the problem.:
• Puertollano R4
BL EL
Massagué et al.., 2022 submitted
O3 IN SPAIN

22. Massagué et al.., 2022 submitted
O3 IN SPAIN

23. 0
25
50
75
100
125
150
175
COVs totales (µg m-3)
0
50
100
150
200
250
300
350
400
450
GUA19 GUA21 CS20 CS21 MAD21 BCN19 CyL20
PMFO total (µg O3 m-3)
VOCS IN SPAIN
PASSIVE DOSIMETERS

24. 0
75
150
225
300
375
Alcanos Alquenos Aromáticos Terpenos Cetonas Ésteres Aldehídos Ác.Carbox. Siloxanos Alcoholes
0%
20%
40%
60%
80%
100%
Alcanos Alquenos Aromáticos Terpenos Cetonas Ésteres Aldehídos Ác.Carbox. Siloxanos Alcoholes
0
75
150
225
300
375
450
525
600
HU SE CO JA GU
Alcoholes
Siloxanos
0%
20%
40%
60%
80%
100%
PMFO
µg
O
3
m
-3
2019 2021 2021 2019 2021 2020 2020
GUADALQUIVIR MADRID GUADALQUIVIR BARCELONA CASTELLÓN CASTELLÓN CyL
VOCS IN SPAIN

25.  Toluene: 1st MOFP in 5/7 campaigns and 3rd in GU19 & MAD21
 Ethylbenzene 1st in MAD21, 5th in CS-I20 & 21 and 2nd-4th in the other 3 campaigns
 o-xylene is 2nd in MAD21 & 6th in GU19, and 2nd & 5th in the other 5 campaigns
 Octene is 2nd in GU19 & 7th in CS-I21, & 3rd and 6th in the other 5 campaigns, except BCN-19 (12th) & PO-CyL19
(16th)
 Heptene is 1st in GU19, 2nd in BCN19, 8th in GU21, and <20th in MAD21 & CS-I21
 Eteno & hexene, not measured but probably also high MOFP
 m,p-xylene is 6th-9th
 Camphene is 2nd in CS-I20 & 7th-12th in the other 6 campaigns
 α- and/or β-pinene 4th-9th in CS-I21 y 20, MAD21, PO-CyL20 & GU19, y la 11th in the other 4 campaigns
 Trimethylbenzene (different isomers) is 3rd to 12th
 Propylbenzene 10th to 20th in 5/7 campaigns
 4-ethylbenzene 10th to 12th in 3/7 campaigns
 Butanal, acetaldehyde y formaldehyde among the top 10 in 5/7 campaigns
VOCS IN SPAIN

26. GUADALQUIVIR CASTELLÓN-INTERIOR MADRID BARCELONA-VIC PORTUGAL-CyL
2019 2021 2020 2021 2021 2019 2020
Hepteno
9
9 Tolueno
4
5 Tolueno
1
1 Tolueno
1
9 Etilbenceno
5
7 Tolueno
2
2 Tolueno 5
Octeno
4
6 Etilbenceno
3
2 Camfeno 4
Formaldehíd
o
1
7 o-Xileno
4
5 Hepteno
1
1 o-Xileno 5
Tolueno
4
2 o-Xileno
2
6 o-Xileno 3 o-Xileno
1
6 Tolueno
3
9 Heptanal
1
0 Etilbenceno 4
Etilbenceno
1
9
Formaldehíd
o
1
6 Octeno 3 a-pineno
1
3
Formaldehí
do
1
5 Etilbenceno 8
Trimetilben
c._is_1 2
1,3,5-
Trimetilben.
1
7 Octeno
1
5 Etilbenceno 3 Etilbenceno
1
3
Acetaldehíd
o
1
5 o-Xileno 8
Formaldehí
do 2
o-Xileno
1
7
Acetaldehíd
o
1
2
2,2-
Dimetilbuta
no 3
Acetaldehíd
o
1
1 Octeno
1
4 m,p-Xileno 8 a-pineno 2
Dodecano
1
4 Hepteno 5 m,p-Xileno 3 Octeno 9 a-pineno
1
1 Butanal 8 Camfeno 2
Camfeno
1
4 a-pineno 5 m-Cimeno 2 Camfeno 8 Butanal 7 Pivaldehído 7 Butanal 2
m,p-Xileno
1
2 Butanal 4 β-Pineno 2 m,p-Xileno 7 Camfeno 6
Formaldehí
do 6
1,3,5-
Trimetilben.
1.
7
Propilbence
no
1
0
Metilciclohe
xano 4
1,2,4-
Trimetilben. 2 Butanal 7
4-
Etiltolueno 5
Glicolaldehí
do 6
4-
Etiltolueno 2
a-pineno
1
0
1,2,4-
Trimetilben. 4
Formaldehí
do 2 Heptanal 6 Limoneno 4 a-pineno 6 m-Cimeno 1
Butanal
1
0 4-Etiltolueno 4
Trimetilben
c._is_1 2
Propilbence
no 3
Propilbence
no 4 Octeno 6
1,2,4-
Trimetilben. 1
Pivaldehído 8 Camfeno 4
Sabinaketon
a 2 Limoneno 3 m-Cimeno 3 Camfeno 5
Acetaldehíd
o 1
Decano 8 Limoneno 3
Acetaldehíd
o 1 m-Cimeno 3
1,2,4-
Trimetilben. 3 Butilacetato 4 Dodecano 1
Trimetilben
c._is_1 8
Sabinaketon
a 3
2,3-
Butanedion
a 1 Estireno 3
Sabinaketon
a 3
Acetaldehíd
o 4
2,3-
Butanedion
a 1
Heptanal 8
Propilbence
no 2 Estireno 1
Sabinaketon
a 3 Hepteno 2 Nonanal 4 Octeno 1
Tetradecan
o 7
Trimetilbenc
._is_1 2 Butanal 1 Hexanal 2 Dodecano 2
1,3,5-
Trimetilben. 4
Trimetilben
c._is_2 1
Hexano 6 m-Cimeno 2 Dodecano 1
1,2,4-
Trimetilben. 2 Decano 2 Hexanal 3 Metilglioxal 1
4-
Etiltolueno 6 Hexano 2
1,3,5-
Trimetilben. 1 Hepteno 2
Trimetilben
c._is_1 1
Pinonaldehí
do 3
Metil vinil
cetona 1
Formaldehí
do 6
1,3,5-
Trimetilben. 2 Metilglioxal 1 4-Etiltolueno 2 Heptanal 1
Propilbence
no 3 Glioxal 1
Acetaldehíd
o 5 Heptano 1
Metil vinil
cetona 1
Trimetilbenc
._is_1 2
1,3,5-
Trimetilben. 1 Heptano 2
Sabinaketon
a 1
m-Cimeno 4
Trimetilbenc
._is_2 1 Glioxal 1 Dodecano 1 β-Pineno 1 Dodecano 2
Tetradecan
o 1
Butilacetato 4 Nonano 1
Crotonalde
hído 1 Decano 1 Propanal 1
Trimetilben
c._is_1 2
Crotonalde
hído 1
Nonanal 4 Acetona 1 Acroleina 1 Isobutanal 1 Acetona 1
Tetracloroet
ileno 2 Propanal 1
Heptano 4 Tetradecano 1 a-pineno 1
Trimetilbenc
._is_2 1 Nonano 1 Pentanal 2 Acroleina 1
Ácido
propanoico 4 Heptanal 1
Tetradecan
o 1 Octano 1 Hexanal 1
Metacroleín
a 1
Trimetilben
c._is_2 4 Octano 1 Propanal 1 Nonanal 1 Butilacetato 1 m-Cimeno 1
Hexanal 3 Dodecano 1 Propanal 1 Isobutanal 1
Hidroxiacet
ona 1
Nonano 3 Propanal 1 Acetona 1
Tetradecan
o 1
4-
Etiltolueno 1
Glicolaldehí
do 3
2-
Metilpentan
o 1 Nonano 1
Trimetilben
c._is_2 1 Decano 1
VOCS IN SPAIN

27. Thanks a lot for your attention!!!!