Table A.15 Cont.: 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 |

	LU	LV	MD	MK	NL	NO	PL	PT	RO	RU	SE	SI	SK	TR	UA	YU	BAS	NOS	ATL	MED	BLS	ASI	SUM	diff	ALL
AL	0	0	0	1	0	0	1	0	1	0	0	0	0	0	0	3	0	0	0	0	0	0	40	792	832	AL
AM	0	0	0	0	0	0	0	0	0	0	0	0	0	3	0	0	0	0	0	0	0	1	5	397	402	AM
AT	0	0	0	0	4	0	5	0	1	1	1	8	1	0	1	1	0	0	0	0	0	0	235	2417	2652	AT
BA	0	0	0	0	1	0	3	0	2	0	0	2	1	0	0	6	0	0	0	0	0	0	100	1510	1610	BA
BE	1	0	0	0	14	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	128	1451	1579	BE
BG	0	0	1	4	1	0	5	0	44	3	0	1	1	2	9	15	0	0	0	0	0	0	218	3752	3970	BG
BY	0	2	1	0	3	0	99	0	13	17	4	1	5	1	28	3	0	0	0	0	0	0	392	4820	5212	BY
CH	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	93	1005	1098	CH
CY	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	2	203	205	CY
CZ	1	0	0	0	8	0	21	0	3	1	1	3	7	0	2	2	0	0	0	0	0	0	342	3224	3566	CZ
DE	7	0	0	0	92	2	37	3	2	4	6	2	2	0	2	1	0	0	0	0	0	0	1442	13525	14967	DE
DK	0	0	0	0	8	1	7	0	0	1	4	0	0	0	0	0	0	0	0	0	0	0	129	2081	2210	DK
EE	0	4	0	0	3	0	8	0	1	5	4	0	0	0	2	0	0	0	0	0	0	0	71	647	718	EE
ES	0	0	0	0	2	0	0	35	0	0	0	0	0	0	0	0	0	0	0	0	0	0	686	9584	10270	ES
FI	0	3	0	0	9	2	19	0	2	18	16	0	0	0	9	0	0	0	0	0	0	0	236	2427	2663	FI
FR	3	0	0	0	28	1	7	7	0	1	3	2	0	0	1	0	0	0	0	0	0	0	1168	13053	14221	FR
GB	1	0	0	0	19	1	5	2	0	1	2	0	0	0	0	0	0	0	0	0	0	0	455	4357	4812	GB
GE	0	0	0	0	0	0	0	0	0	1	0	0	0	3	2	0	0	0	0	0	0	0	12	792	804	GE
GR	0	0	0	5	1	0	2	0	9	1	0	0	0	5	4	5	0	0	0	0	0	0	141	3521	3662	GR
HR	0	0	0	0	1	0	3	0	2	0	0	5	1	0	1	5	0	0	0	0	0	0	136	1714	1850	HR
HU	0	0	0	0	3	0	17	0	14	1	1	4	14	0	2	12	0	0	0	0	0	0	289	3857	4146	HU
IE	0	0	0	0	2	0	2	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	67	737	804	IE
IS	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	5	147	152	IS
IT	0	0	0	0	4	0	6	1	2	2	2	8	1	1	2	2	0	0	0	0	0	0	786	9906	10692	IT
KZ	0	1	1	0	1	0	10	0	5	156	0	0	1	3	74	1	0	0	0	0	0	1	322	5576	5898	KZ
LT	0	2	0	0	3	0	42	0	3	6	3	0	1	0	4	1	0	0	0	0	0	0	144	1397	1541	LT
LU	1	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	9	120	129	LU
LV	0	10	0	0	3	0	23	0	2	6	4	0	1	0	4	1	0	0	0	0	0	0	119	1059	1178	LV
MD	0	0	3	0	0	0	4	0	21	1	0	0	1	1	8	1	0	0	0	0	0	0	56	1041	1097	MD
MK	0	0	0	7	0	0	1	0	1	0	0	0	0	0	1	4	0	0	0	0	0	0	34	696	730	MK
NL	0	0	0	0	46	0	2	1	0	1	1	0	0	0	0	0	0	0	0	0	0	0	159	1670	1829	NL
NO	0	0	0	0	10	24	7	0	1	2	10	0	0	0	1	0	0	0	0	0	0	0	153	1513	1666	NO
PL	1	1	1	0	19	2	489	2	19	7	9	6	23	1	11	10	0	0	0	0	0	0	1139	11274	12413	PL
PT	0	0	0	0	0	0	0	85	0	0	0	0	0	0	0	0	0	0	0	0	0	0	140	1885	2025	PT
RO	0	0	2	2	4	0	22	0	265	6	1	2	7	2	20	26	0	0	0	0	0	0	554	8722	9276	RO
RU	1	15	10	1	23	3	187	2	66	2016	24	3	13	22	449	10	0	0	0	0	0	3	3554	55394	58948	RU
SE	1	1	1	0	23	8	48	0	4	6	108	1	1	0	7	1	0	0	0	0	0	0	462	3430	3892	SE
SI	0	0	0	0	1	0	1	0	0	0	0	12	0	0	0	1	0	0	0	0	0	0	68	713	781	SI
SK	0	0	0	0	2	0	21	0	6	1	1	2	35	0	1	4	0	0	0	0	0	0	179	1986	2165	SK
TR	0	0	1	1	1	0	4	0	18	6	1	1	1	389	24	4	0	0	0	0	0	14	528	14081	14609	TR
UA	1	1	13	1	8	0	132	1	99	68	3	4	20	6	282	14	0	0	0	0	0	0	987	18322	19309	UA
YU	0	0	0	3	1	0	7	0	11	1	0	2	3	0	2	59	0	0	0	0	0	0	188	3329	3517	YU
BAS	1	11	1	0	42	4	179	1	10	20	95	2	4	1	17	3	0	0	0	0	0	0	1004	6978	7982	BAS
NOS	2	1	0	0	152	12	41	4	2	4	20	1	1	0	3	1	0	1	0	0	0	0	1545	11291	12836	NOS
ATL	2	1	0	0	79	9	36	250	2	33	10	1	1	0	9	1	0	0	-1	0	0	0	2255	45159	47414	ATL
MED	1	0	2	7	10	0	12	10	34	2	4	15	1	114	19	18	0	0	0	-1	0	7	1817	60306	62123	MED
BLS	0	0	5	1	2	0	15	0	77	49	1	1	2	32	119	9	0	0	0	0	0	1	449	10588	11037	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	19	19	MT
SUM	24	53	42	33	635	69	1531	404	742	2448	339	89	149	587	1120	224	0	1	-1	-1	0	27	23043	352468	375511	SUM
EU	15	5	2	5	251	15	140	135	22	36	144	22	7	6	27	11	0	1	0	0	0	0	6267	70140	76407	EU
EMC	18	40	34	25	350	44	1248	139	617	2340	209	69	140	440	953	192	0	0	0	0	0	19	15973	218146	234119	EMC
emis	26	96	127	108	371	452	1416	396	1043	8148	278	71	232	2230	3248	536	0	0	0	0	0	0	32079	1542	33621	emis
	LU	LV	MD	MK	NL	NO	PL	PT	RO	RU	SE	SI	SK	TR	UA	YU	BAS	NOS	ATL	MED	BLS	ASI	SUM	diff	ALL