Results from the 2014 Europe-wide study Everyone, Christoph Ort (Eawag) and Miro Fuoli (ZHAW); acknowledgements to EMCDDA
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- Adelia Reed
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1 Results from the 214 Europe-wide study Everyone, Christoph Ort (Eawag) and Miro Fuoli (ZHAW); acknowledgements to EMCDDA - file to collect all data (Excel) - basis for: i) calculations (R), ii) graphs (R), iii) tables (manual), iv) quality check (approval, ) and v) writing paper (additional information, manual) - 212/13: >.5 years of my time (plus data after deadline) more efficient and reliable
2 Results from the 214 Europe-wide study # s >>1 # samples 523 most locations 7 days, plus interlab # conc. val different compounds, 2941 [COC, BE, MDMA, AMPH, METH, THC-COOH] # cells actually filled in (<534 for each participant)
3 Results from the 214 Europe-wide study # s >>1 # samples 523 most locations 7 days, plus interlab # conc. val different compounds, 2941 [COC, BE, MDMA, AMPH, METH, THC-COOH] # cells actually filled in (<534 for each STP/participant) Challenge format of entries, e.g. concentrations: numeric (185.8, and -9999) 185.8ng/L; ng/l; 185,8; ; < LOQ; n.d.; N.D.; ND; NA; n.a.; NF; missing information cooperation STPs, communication with partners (anecdote ICUD) correctness of entries not familiar with location => need for plausibility check (anecdotes typos) - concentrations - wastewater volumes - population to be used for normalisation usefulness of additional (meta) information for data interpretation summaries for writing a publication
4 Exfiltration Commuters Spec. events Summary of population, mon. dates/days, sewage losses, * Selection by: - date - normal.week - all - n.days Population Dates* Summary by: - start/end date - nr. days - days of week
5 Conditional averages and corresponding populations Total of population for this average Average of all cities in one year (exceptions excluded) Total of population for this average Average of cities that participated in all years
6 Plausibility check for population normalized drug loads 1) Concentrations (interlab test) 2) Wastewater volumes (flow meter calibration data,???) 3) Population size (???) Calculate and plot per capita wastewater volume (2-4L/c/d) during the monitoring period and add additional information from the questionnaire: - Wastewater volume during a typical dry weather day (rain during monitoring?) - Exfiltration (less than other STPs? loss of illicit drugs?) - Discover errors (also e.g. typo in population size)
7 volume per head and day No Info Exf. No Exf. Exf. x = NA x <.7.7 < x < 1.3 x > 1.3 Lower Upper volume PT Berlin_M DE Berlin_W DE Berlin_S DE NL AU Berlin_R DE F_d_France_PdN FR Valencia_Q_B ES ES Amsterdam_W NL CZ GR Thessaloniki GR Duelmen DE CZ Oulu FI DE Bratislava_P SK NL Adelaide AU ES FR Lappeenranta FI Antwerp_D BE DE Canberra AU Joensuu FI Jyvaeskylae FI Munich DE Valencia_P_1 ES Sion_ChN CH FI Bratislava_C SK Lahti FI DK Rovaniemi FI Chur CH CH Vaasa FI GB Savonlinna FI BE Tampere FI ES Valencia_P_2 ES FI IT FI Winterthur CH FI BE Neuchatel CH Antwerp_Z BE CH CH Biel CH F_d_France_D FR NO Luzern CH HR CH Lausanne CH Kotka FI St_Gallen_H CH SK Bendern LI Granby CA Lugano CH Montreal CA
8 x=na is highlighted No Info Exf. No Exf. Exf. x = NA x <.7.7 < x < 1.3 x > 1.3 Lower Upper Berlin_M Berlin_W Berlin_S Berlin_R F_d_France_PdN Valencia_Q_B Amsterdam_W Thessaloniki Duelmen Oulu Bratislava_P Adelaide Lappeenranta Antwerp_D Canberra Joensuu Jyvaeskylae Munich Valencia_P_1 Sion_ChN Bratislava_C Lahti Rovaniemi Chur Vaasa Savonlinna Tampere Valencia_P_2 Winterthur Neuchatel Antwerp_Z Biel F_d_France_D Luzern Lausanne Kotka St_Gallen_H Bendern Granby Lugano Montreal volume
9 x <.7 is highlighted No Info Exf. No Exf. Exf. x = NA x <.7.7 < x < 1.3 x > 1.3 Lower Upper Berlin_M Berlin_W Berlin_S Berlin_R F_d_France_PdN Valencia_Q_B Amsterdam_W Thessaloniki Duelmen Oulu Bratislava_P Adelaide Lappeenranta Antwerp_D Canberra Joensuu Jyvaeskylae Munich Valencia_P_1 Sion_ChN Bratislava_C Lahti Rovaniemi Chur Vaasa Savonlinna Tampere Valencia_P_2 Winterthur Neuchatel Antwerp_Z Biel F_d_France_D Luzern Lausanne Kotka St_Gallen_H Bendern Granby Lugano Montreal volume
10 .7 < x < 1.3 is highlighted No Info Exf. No Exf. Exf. x = NA x <.7.7 < x < 1.3 x > 1.3 Lower Upper Berlin_M Berlin_W Berlin_S Berlin_R F_d_France_PdN Valencia_Q_B Amsterdam_W Thessaloniki Duelmen Oulu Bratislava_P Adelaide Lappeenranta Antwerp_D Canberra Joensuu Jyvaeskylae Munich Valencia_P_1 Sion_ChN Bratislava_C Lahti Rovaniemi Chur Vaasa Savonlinna Tampere Valencia_P_2 Winterthur Neuchatel Antwerp_Z Biel F_d_France_D Luzern Lausanne Kotka St_Gallen_H Bendern Granby Lugano Montreal volume
11 x > 1.3 is highlighted No Info Exf. No Exf. Exf. x = NA x <.7.7 < x < 1.3 x > 1.3 Lower Upper Berlin_M Berlin_W Berlin_S Berlin_R F_d_France_PdN Valencia_Q_B Amsterdam_W Thessaloniki Duelmen Oulu Bratislava_P Adelaide Lappeenranta Antwerp_D Canberra Joensuu Jyvaeskylae Munich Valencia_P_1 Sion_ChN Bratislava_C Lahti Rovaniemi Chur Vaasa Savonlinna Tampere Valencia_P_2 Winterthur Neuchatel Antwerp_Z Biel F_d_France_D Luzern Lausanne Kotka St_Gallen_H Bendern Granby Lugano Montreal volume
12 No Info Exf is highlighted No Info Exf. No Exf. Exf. x = NA x <.7.7 < x < 1.3 x > 1.3 Lower Upper Berlin_M Berlin_W Berlin_S Berlin_R F_d_France_PdN Valencia_Q_B Amsterdam_W Thessaloniki Duelmen Oulu Bratislava_P Adelaide Lappeenranta Antwerp_D Canberra Joensuu Jyvaeskylae Munich Valencia_P_1 Sion_ChN Bratislava_C Lahti Rovaniemi Chur Vaasa Savonlinna Tampere Valencia_P_2 Winterthur Neuchatel Antwerp_Z Biel F_d_France_D Luzern Lausanne Kotka St_Gallen_H Bendern Granby Lugano Montreal volume
13 No Exf is highlighted No Info Exf. No Exf. Exf. x = NA x <.7.7 < x < 1.3 x > 1.3 Lower Upper Berlin_M Berlin_W Berlin_S Berlin_R F_d_France_PdN Valencia_Q_B Amsterdam_W Thessaloniki Duelmen Oulu Bratislava_P Adelaide Lappeenranta Antwerp_D Canberra Joensuu Jyvaeskylae Munich Valencia_P_1 Sion_ChN Bratislava_C Lahti Rovaniemi Chur Vaasa Savonlinna Tampere Valencia_P_2 Winterthur Neuchatel Antwerp_Z Biel F_d_France_D Luzern Lausanne Kotka St_Gallen_H Bendern Granby Lugano Montreal volume
14 Exf. is highlighted No Info Exf. No Exf. Exf. x = NA x <.7.7 < x < 1.3 x > 1.3 Lower Upper Berlin_M Berlin_W Berlin_S Berlin_R F_d_France_PdN Valencia_Q_B Amsterdam_W Thessaloniki Duelmen Oulu Bratislava_P Adelaide Lappeenranta Antwerp_D Canberra Joensuu Jyvaeskylae Munich Valencia_P_1 Sion_ChN Bratislava_C Lahti Rovaniemi Chur Vaasa Savonlinna Tampere Valencia_P_2 Winterthur Neuchatel Antwerp_Z Biel F_d_France_D Luzern Lausanne Kotka St_Gallen_H Bendern Granby Lugano Montreal volume
15 Further summaries/checks 1) Actual results (per compound) 2) Combined doses [COC (BE) + MDMA + AMPH + METH] 3) COC/BE 4) Concentrations reported (actual values rather than or «-9999») 5) Nutrient loads 6) 7)
![+ METH] 3) COC/BE 4) Concentrations reported](/docs-images/58/4484790/images/page_15.jpg "(actual values rather than or «-9999») 5) Nutrient")
16 1 BENZOYLECGONINE (Cocaine) 8 Wastewater loads of one 1 week period Mean Range 211 (Thomas et al. 212) 212 (this study) 213 (this study) min max BE loads [mg/1p/d] 6 4 Change red/blue = significant (Wilcox, a=.5) solid = consecutive years dotted = 211 vs Cluj Napoca Bratislava Umeå Gothenburg Stockholm Novi Sad Belgrade Sarajevo Limassol Nicosia Lisbon Dülmen Koksijde Brussels Antwerp D. Antwerp Z. Valencia St.Gallen Amsterdam (44) (43) (38) (42) (32) (41) (34) (29) (4) (28) (36) (31) (33) (37) (25) (26) (24) (23) (21) (39) (3) (11) (18) (17) (16) (35) (27) (22) (19) (8) (1) (2) (14) (6) (5) (15) (12) (1) (9) (3) (13) (7) (2) (4) RO FI SK SE CZ RS BA CY GR HR NO PT DE DK FR IT BE ES CH NL GB
17 1 BENZOYLECGONINE (Cocaine) max=154 =195, max= (Thomas et al. 212) 212 (Ort and van Nuijs et al. 214) 213 (Ort and van Nuijs et al. 214) 214 (tbc) 8 BE loads [mg/1p/d] (72) (69) (68) (66) (65) (64) (63) (62) (61) (6) (59) (58) (57) (56) (55) (54) (53) (52) (49) (48) (47) (45) (43) (51) (42) (36) (44) (38) (5) (34) (41) (31) (67) (39) (33) (3) (27) (46) (4) (37) (32) (28) (25) (19) (17) (23) (18) (71) (7) (35) (29) (11) (4) (26) (24) (13) (6) (14) (2) (15) (12) (1) (8) (7) (5) (22) (9) (3) (21) (16) (1) (2) Sarajevo Nicosia Limassol Cluj Napoca Belgrade Novi Sad Gothenburg Stockholm Umeå Jyväskylä Oulu Joensuu Rovaniemi Savonlinna Vaasa Tampere Lappeenranta Kotka Lahti Adelaide Canberra Bratislava Thessaloniki Lisbon Granby Montreal Dülmen Berlin M Munich Berlin W Berlin S Berlin R Brussels Koksijde Antwerp D. Antwerp Z. Valencia Lugano Lausanne St.Gallen Amsterdam Fort de France PdN Fort de France D BA CY RO RS SE FI AU CZ SK GR PT HR CA DE ITNO BE ES DK CH NL FR GB
18 MDMA (Ecstasy) max=172 max=147 max=17 max=175 =615, =162, max=1234 max=371 max=218 max=142 max=228 max=145 =151, max=244 =1457, max=726 =464, max=763 =9296, max= (Thomas et al. 212) 212 (Ort and van Nuijs et al. 214) 213 (Ort and van Nuijs et al. 214) 214 (tbc) 1 MDMA loads [mg/1p/d] (72) (69) (68) (67) (66) (63) (62) (61) (6) (59) (58) (57) (56) (51) (52) (48) (55) (23) (32) (49) (47) (34) (12) (54) (53) (46) (44) (41) (4) (39) (36) (35) (3) (28) (16) (15) (11) (42) (17) (65) (64) (24) (45) (38) (37) (33) (27) (26) (19) (6) (5) (25) (21) (2) (18) (13) (9) (71) (7) (31) (29) (22) (7) (14) (43) (1) (8) (5) (4) (3) (2) (1) Sarajevo Granby Montreal Nicosia Limassol Lisbon Cluj Napoca Belgrade Novi Sad Gothenburg Stockholm Umeå Thessaloniki Bratislava Valencia Savonlinna Joensuu Lappeenranta Jyväskylä Kotka Vaasa Tampere Rovaniemi Lahti Oulu Fort de France D Fort de France PdN Berlin M Dülmen Munich Berlin W Berlin R Berlin S Lugano Lausanne St.Gallen Brussels Koksijde Antwerp D. Antwerp Z. Adelaide Canberra Amsterdam BA CA CY PT RO RS SE IT GR SK HR ES FI CZ FR DE CH BE DK AU GBNO NL
![214) 214 (tbc) 1 MDMA loads [mg/1p/d] 8 6 4 2 (72) (69) (68) (67) (66) (63) (62) (61) (6) (59) (58) (57) (56) (51) (52) (48) (55) (23) (32) (49) (47) (34) (12) (54) (53) (46) (44) (41) (4) (39) (36)](/docs-images/58/4484790/images/page_18.jpg "(35) (3) (28) (16) (15) (11) (42) (17) (65) (64) (24) (45) (38) (37) (33) (27) (26) (19) (6) (5) (25) (21) (2) (18) (13) (9) (71) (7) (31) (29) (22) (7) (14) (43) (1) (8) (5) (4) (3) (2) (1) Sarajevo")
19 AMPHETAMINE =34, =417, max=864 max=9372 =113, max=246 max=324 max=319 max=326 max=433 =976, max= (Thomas et al. 212) 212 (Ort and van Nuijs et al. 214) 213 (Ort and van Nuijs et al. 214) 214 (tbc) AMP loads [mg/1p/d] (72) (67) (66) (63) (62) (61) (6) (58) (56) (55) (54) (53) (52) (51) (57) (5) (49) (39) (44) (47) (34) (59) (42) (46) (29) (65) (64) (45) (28) (41) (31) (27) (69) (68) (48) (43) (4) (3) (19) (38) (37) (33) (32) (26) (25) (24) (23) (22) (21) (2) (17) (11) (7) (36) (35) (18) (15) (14) (13) (8) (6) (16) (12) (5) (71) (7) (1) (9) (3) (2) (4) (1) Sarajevo Nicosia Limassol Fort de France D Fort de France PdN Cluj Napoca Belgrade Novi Sad Gothenburg Stockholm Umeå Lisbon Bratislava Montreal Granby Thessaloniki Valencia Canberra Adelaide Lugano Lausanne St.Gallen Joensuu Savonlinna Lappeenranta Oulu Tampere Vaasa Jyväskylä Rovaniemi Kotka Lahti Munich Dülmen Berlin R Berlin M Berlin W Berlin S Amsterdam Brussels Koksijde Antwerp D. Antwerp Z. BA CY FR GB IT RO RS SE PT SK HR CA GR CZ ES AU CH FI DE NL BE DKNO
20 METHAMPHETAMINE max=314 max=311 =251, max=277 =424, max=457 =245, max=32 =237, max=292 max=253 =242, max=356 =327, max=351 =42, max= (Thomas et al. 212) 212 (Ort and van Nuijs et al. 214) 213 (Ort and van Nuijs et al. 214) 214 (tbc) METH loads [mg/1p/d] (72) (67) (66) (6) (57) (56) (55) (54) (49) (48) (47) (46) (45) (44) (5) (4) (39) (52) (51) (3) (53) (23) (22) (38) (37) (36) (35) (34) (33) (32) (29) (28) (27) (26) (21) (17) (11) (71) (7) (43) (42) (31) (13) (69) (68) (25) (24) (19) (16) (15) (59) (58) (41) (14) (65) (64) (63) (62) (61) (2) (18) (7) (12) (6) (8) (3) (1) (9) (1) (5) (4) (2) Sarajevo Nicosia Limassol Fort de France D Fort de France PdN Cluj Napoca Belgrade Novi Sad Gothenburg Stockholm Umeå Lisbon Amsterdam Thessaloniki Lappeenranta Oulu Jyväskylä Tampere Joensuu Kotka Rovaniemi Vaasa Lahti Savonlinna Brussels Koksijde Antwerp D. Antwerp Z. Lugano Lausanne St.Gallen Valencia Dülmen Munich Berlin M Berlin W Berlin S Berlin R Montreal Granby Bratislava Canberra Adelaide BA CY DK FR GBRO RS SE PT HR NL GR IT FI BE CH ES DE CA SK AU NO CZ
![214) 214 (tbc) METH loads [mg/1p/d] 15 1 5 (72) (67) (66) (6) (57) (56) (55) (54) (49) (48) (47) (46) (45) (44) (5) (4) (39) (52) (51) (3) (53) (23) (22) (38) (37) (36) (35) (34) (33) (32) (29) (28)](/docs-images/58/4484790/images/page_20.jpg "(27) (26) (21) (17) (11) (71) (7) (43) (42) (31) (13) (69) (68) (25) (24) (19) (16) (15) (59) (58) (41) (14) (65) (64) (63) (62) (61) (2) (18) (7) (12) (6) (8) (3) (1) (9) (1) (5) (4) (2) Sarajevo")
21 1 combined doses max=113 max=353 =17, max=492 max=188 =445, max= (Thomas et al. 212) 212 (Ort and van Nuijs et al. 214) 213 (Ort and van Nuijs et al. 214) 214 (tbc) 8 combined doses [nr.doses/1p/d] (72) (69) (68) (66) (65) (64) (63) (62) (61) (67) (57) (6) (47) (59) (58) (56) (55) (54) (53) (52) (51) (5) (48) (46) (44) (4) (31) (49) (35) (39) (25) (45) (43) (36) (33) (29) (2) (19) (11) (42) (37) (24) (12) (38) (16) (41) (27) (7) (34) (26) (21) (18) (17) (14) (8) (32) (3) (3) (23) (9) (71) (7) (28) (22) (13) (4) (1) (6) (2) (15) (5) (1) Sarajevo Nicosia Limassol Cluj Napoca Belgrade Novi Sad Gothenburg Stockholm Umeå Lisbon Thessaloniki Joensuu Lappeenranta Jyväskylä Tampere Vaasa Savonlinna Rovaniemi Oulu Kotka Lahti Montreal Granby Munich Dülmen Berlin M Berlin W Berlin R Berlin S Valencia Bratislava Canberra Adelaide Lugano Lausanne St.Gallen Fort de France PdN Fort de France D Brussels Koksijde Antwerp D. Antwerp Z. Amsterdam BA CY RO RS SE PT GR FI HR IT CA DE ES SK AU CH FR CZ BE DKGBNO NL
22 max=348 THC COOH (Cannabis) =469, max=116 max=259 max=266 =346, max= (Thomas et al. 212) 212 (Ort and van Nuijs et al. 214) 213 (Ort and van Nuijs et al. 214) 214 (tbc) THC COOH loads [mg/1p/d] (71) (62) (61) (6) (59) (58) (57) (56) (55) (54) (53) (52) (51) (5) (49) (48) (47) (46) (45) (43) (41) (4) (39) (38) (37) (36) (72) (35) (31) (34) (42) (25) (33) (32) (3) (29) (26) (21) (14) (13) (68) (23) (27) (19) (17) (16) (44) (15) (7) (69) (28) (24) (18) (5) (11) (67) (66) (65) (64) (63) (22) (7) (2) (12) (1) (4) (9) (8) (1) (6) (3) (2) Sarajevo Nicosia Limassol Joensuu Jyväskylä Kotka Lahti Lappeenranta Oulu Rovaniemi Savonlinna Tampere Vaasa Cluj Napoca Belgrade Novi Sad Gothenburg Stockholm Umeå Canberra Adelaide Lisbon Berlin M Munich Dülmen Berlin W Berlin S Berlin R Granby Montreal Bratislava Thessaloniki Brussels Koksijde Antwerp D. Antwerp Z. St.Gallen Lugano Lausanne Valencia Amsterdam Fort de France PdN Fort de France D BA CY DK FI GBNORO RS SE AU IT PT DE CA CZ SK GR BE HR CH ES NL FR
23 Ratio Coc/Be 2. q5 q95 Mean Overall Mean Joensuu FI DE ES PT Berlin_W DE Berlin_S DE DE F_d_France_PdN FR CZ Munich DE Canberra AU HR CH F_d_France_D FR Duelmen DE Berlin_M DE Granby CA Montreal CA Berlin_R DE Biel CH FR Lugano CH CH CH FI Winterthur CH St_Gallen_H CH FI Bendern LI DK Neuchatel CH NO ES IT Valencia_P_2 ES Chur CH ES CH CZ Bratislava_C SK Lahti FI Luzern CH Valencia_P_1 ES Sion_ChN CH GB Valencia_Q_B ES Bratislava_P SK GR AU Kotka FI FI NL Lausanne CH Lappeenranta FI Antwerp_D BE Antwerp_Z BE BE NL BE Amsterdam_W NL Ratio
24 Coc/Be Ratio to Mean Residence Time Coc/Be Ratio Mean Residence Time
25 Coc/Be Ratio to Mean Temperature Coc/Be Ratio Mean Temperature
26 Coc/Be Ratio to Mean ph Coc/Be Ratio Mean ph
27 Coc/Be Ratio to Mean ph Coc/Be Ratio Lappeenranta Granby Montreal Amsterdam_W Kotka Bratislava_P Sion_ChN Valencia_Q_B Valencia_P_1 Bratislava_C Valencia_P_2 Neuchatel Lugano Mean ph
28 ratio [COC_BE] (Thomas et al. 212) 212 (Ort and van Nuijs et al. 214) 213 (Ort and van Nuijs et al. 214) 214 (tbc) =2, max=8 ratio_coc_be (72) (71) (7) (69) (68) (67) (66) (65) (64) (63) (62) (61) (6) (59) (58) (57) (56) (55) (54) (53) (52) (51) (5) (49) (48) (47) (46) (45) (44) (43) (42) (41) (4) (39) (38) (37) (36) (35) (34) (33) (32) (31) (3) (29) (28) (27) (26) (25) (24) (23) (22) (21) (2) (19) (18) (17) (16) (15) (14) (13) (12) (11) (1) (9) (8) (7) (6) (5) (4) (3) (2) Adelaide Sarajevo Brussels Koksijde Nicosia Limassol Joensuu Jyväskylä Oulu Rovaniemi Savonlinna Tampere Vaasa Thessaloniki Lisbon Cluj Napoca Belgrade Novi Sad Gothenburg Stockholm Umeå Berlin W Berlin S Fort de France PdN Munich Canberra Fort de France D Dülmen Berlin M Granby Montreal Berlin R Lugano St.Gallen Bratislava Valencia Lahti Kotka Lausanne Lappeenranta Antwerp D. Antwerp Z. Amsterdam (1) max=2
HU CZ FI PL SI PT IT ES NO NL FR DK SE IE GB AT DE CH LU 0 10 20 30 40 Foreigners' share Source: Eurostat More trust 3 4 5 6 7 PL HU CZ SI PT GR ES DK FI SE
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