Table A.15: 2000 country-to-country blame matrices for PM2.5.
Units: ng/m3 per 25% emis. red. of NH3.
Emitters $\rightarrow$, Receptors $\downarrow$.

| Emitting regions and their identifying codes |

	AL	AM	AT	BA	BE	BG	BY	CH	CY	CZ	DE	DK	EE	ES	FI	FR	GB	GE	GR	HR	HU	IE	IS	IT	KZ	LT
AL	17	0	1	1	0	1	0	0	0	0	2	0	0	1	0	1	0	0	2	0	1	0	0	7	0	0	AL
AM	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	AM
AT	0	0	46	1	2	0	0	8	0	11	58	1	0	4	0	15	3	0	0	2	5	0	0	56	0	0	AT
BA	1	0	4	29	0	0	0	1	0	2	8	0	0	2	0	3	1	0	0	7	4	0	0	23	0	0	BA
BE	0	0	0	0	40	0	0	1	0	0	16	1	0	2	0	33	16	0	0	0	0	1	0	2	0	0	BE
BG	3	0	3	2	1	66	1	1	0	3	11	0	0	1	0	4	1	0	11	2	6	0	0	16	0	0	BG
BY	0	0	4	1	2	1	97	2	0	12	35	5	1	3	2	15	5	0	0	2	9	1	0	11	0	7	BY
CH	0	0	1	0	1	0	0	21	0	0	9	0	0	3	0	16	2	0	0	0	0	0	0	39	0	0	CH
CY	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	CY
CZ	0	0	19	1	5	0	1	5	0	95	94	2	0	5	0	24	7	0	0	2	9	1	0	23	0	0	CZ
DE	0	0	18	0	62	1	3	30	0	32	726	13	0	22	1	198	75	0	1	1	4	7	0	87	0	1	DE
DK	0	0	1	0	4	0	0	1	0	2	35	37	0	2	0	13	10	0	0	0	0	1	0	2	0	0	DK
EE	0	0	0	0	2	0	3	0	0	1	13	3	11	0	2	3	1	0	0	0	1	0	0	1	0	3	EE
ES	0	0	0	0	3	0	0	2	0	0	7	0	0	534	0	81	11	0	0	0	0	1	0	10	0	0	ES
FI	0	0	1	0	4	0	8	1	0	2	34	9	6	1	71	8	5	0	0	0	1	1	0	2	0	4	FI
FR	0	0	4	0	40	0	0	18	0	3	80	5	0	106	0	681	72	0	0	1	2	7	0	96	0	0	FR
GB	0	0	1	0	19	0	1	1	0	1	28	8	0	8	0	70	270	0	0	0	0	13	0	4	0	0	GB
GE	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	6	0	0	0	0	0	0	0	0	GE
GR	9	0	2	1	0	10	0	1	0	1	6	0	0	1	0	3	1	0	57	1	2	0	0	14	0	0	GR
HR	0	0	7	12	1	0	0	1	0	3	12	1	0	2	0	5	1	0	0	22	7	0	0	44	0	0	HR
HU	1	0	15	4	2	1	0	3	0	14	33	1	0	3	0	10	4	0	0	10	87	0	0	33	0	0	HU
IE	0	0	0	0	1	0	0	0	0	0	4	1	0	1	0	9	21	0	0	0	0	25	0	1	0	0	IE
IS	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	1	1	0	0	0	0	0	2	0	0	0	IS
IT	2	0	14	3	3	1	0	14	0	5	34	2	0	22	0	47	6	0	2	6	5	1	0	588	0	0	IT
KZ	0	0	1	0	1	1	9	1	0	2	6	1	0	1	1	3	1	3	0	0	2	0	0	3	31	1	KZ
LT	0	0	1	0	2	0	9	1	0	4	19	4	1	1	1	6	3	0	0	0	2	0	0	4	0	21	LT
LU	0	0	0	0	1	0	0	0	0	0	2	0	0	0	0	3	1	0	0	0	0	0	0	0	0	0	LU
LV	0	0	1	0	2	0	8	1	0	3	19	4	2	1	1	5	2	0	0	0	2	0	0	3	0	11	LV
MD	0	0	1	0	0	2	1	1	0	1	4	0	0	0	0	1	0	0	0	0	2	0	0	3	0	0	MD
MK	4	0	1	1	0	2	0	0	0	0	2	0	0	0	0	1	0	0	4	0	1	0	0	4	0	0	MK
NL	0	0	1	0	18	0	0	1	0	1	22	2	0	3	0	27	27	0	0	0	0	2	0	4	0	0	NL
NO	0	0	0	0	5	0	1	1	0	1	30	27	0	1	2	11	15	0	0	0	1	1	0	1	0	1	NO
PL	1	0	21	3	11	2	6	10	0	83	196	13	0	12	1	54	22	0	1	7	34	3	0	56	0	2	PL
PT	0	0	0	0	1	0	0	0	0	0	1	0	0	41	0	9	2	0	0	0	0	0	0	1	0	0	PT
RO	3	0	8	6	2	23	3	5	0	10	34	2	0	4	0	12	4	0	4	5	31	0	0	38	0	1	RO
RU	1	2	13	3	13	8	179	10	0	29	137	23	15	11	44	55	22	25	3	4	26	4	0	43	10	26	RU
SE	0	0	2	0	11	0	5	3	0	6	109	46	1	3	8	27	16	0	0	1	3	2	0	6	0	3	SE
SI	0	0	5	1	0	0	0	1	0	1	7	0	0	1	0	3	1	0	0	4	2	0	0	27	0	0	SI
SK	0	0	7	1	1	1	0	2	0	15	22	1	0	1	0	7	3	0	0	3	29	0	0	13	0	0	SK
TR	1	1	2	1	1	11	2	1	0	2	11	0	0	1	0	3	1	3	10	1	3	0	0	8	0	0	TR
UA	1	0	12	4	5	10	37	8	0	24	71	5	1	6	2	31	10	4	2	6	46	1	0	45	0	3	UA
YU	4	0	5	12	1	4	0	2	0	4	15	1	0	2	0	5	1	0	1	5	12	0	0	25	0	0	YU
BAS	0	0	7	1	21	1	15	6	0	20	270	95	10	7	26	55	31	0	1	2	9	4	0	19	0	13	BAS
NOS	0	0	4	0	106	0	4	5	0	10	252	120	0	19	1	282	454	0	0	1	2	24	0	15	0	1	NOS
ATL	0	0	4	0	58	0	8	6	0	7	159	37	1	396	9	582	394	0	0	1	2	126	9	21	0	2	ATL
MED	27	0	29	14	6	25	1	23	5	13	76	4	0	275	0	211	15	1	97	17	15	2	0	706	0	0	MED
BLS	1	1	4	2	2	30	6	3	0	5	20	1	0	1	0	7	2	11	8	2	7	0	0	21	0	1	BLS
MT	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	MT
SUM	76	5	270	104	460	201	408	202	6	428	2730	475	49	1510	172	2640	1540	53	204	115	374	228	11	2125	41	101	SUM
EU	11	0	89	6	211	13	18	80	0	64	1162	128	8	750	81	1224	537	0	61	13	23	60	0	875	0	9	EU
EMC	48	4	222	87	267	145	374	159	1	373	1953	218	38	812	136	1503	644	41	98	92	339	72	2	1343	41	84	EMC
emis	68	51	331	61	507	406	477	116	20	667	428	245	144	1664	252	2742	1420	76	495	163	410	143	27	2235	0	153	emis
	AL	AM	AT	BA	BE	BG	BY	CH	CY	CZ	DE	DK	EE	ES	FI	FR	GB	GE	GR	HR	HU	IE	IS	IT	KZ	LT