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ZoĂŻ Environment Network Graphic Portfolio


Mercury Waste, online training course UN Environment, 2017


Environmental Cooperation in Belarus, digital portal UN Environment, 2017


Global mercury: supply, trade and demand UN Environment, 2017

JAPAN

CANADA

SOUTH KOREA

RUSSIA

KAZAKHSTAN

NORWAY

CHINA

USA

MEXICO

HONG KONG

KYRGYZSTAN**

NICARAGUA

COLOMBIA

INDONESIA

EUROPE*

PAKISTAN

ISRAEL

GUYANA

CHILE

BOLIVIA

ARGENTINA URUGUAY

AUSTRALIA

SINGAPORE INDIA

TURKEY

PERU

SWITZERLAND

PARAGUAY

MALAYSIA

THAILAND UKRAINE

UAE

SRI LANKA

Global mercury trade, 2015

Quantities reported as mercury to UN Comtrade Database by importing countries

SUDAN

Brazil TOGO

Trade flows in metric tons, 2015 1-3

TANZANIA

SOUTH AFRICA

5

10

20

50

Exporter 100

INDIA

* = Europe (EU-28) ** = Kyrgyzstan based on estimates 1) This figure was generated from the import data reported by the various countries to the United Nations, since the import data are generally considered to be more reliable than the reported export data; 2) Some of the data used in this figure may have been updated since the figure was prepared; 3) Not all countries report mercury trade data to Comtrade; 4) For a number of reasons, Country A's reported trade with Country B may not entirely agree with Country B's reported trade with Country A; 5) If a country reported less than one metric ton of mercury imported in 2015, that trade flow is not shown in the figure. Source: United Nations comtrade (→ http://comtrade.un.org); Revised by Peter Maxson Map produced by ZOÏ Environment Network, April 2017


Global mercury waste assessment UN Environment, 2017


an

81

a ad

*

*

80

a bi m o l ica Co ta R s o C tia lic 16 ub roa C Rep 17 h c Cze 18 r ado Ecu 19 dor v al a El S 20 21

*

79

22

* *

78 77

Slovakia

lga 12

13

*

83

82

South Africa

Ca n

10

11

15

85 84

ka

ile

Ch

14

86

d

Lan

n

Bu

09

*

88

87

erl

Spai

ria

Bra

08

93

91

ia

89

Sri

an

90

itz

d an

nz

Sw

92

ail Th

Ta

zil

Bel

giu m

Aust ralia

94

07

95

06

04

05

03

01

99

97

96

tes

98

Sta

02

ted

Uni

Vietnam

Argentina

Company A - General Risk Assessment

23

24

76

25

75

26

74

27 28

73

29

72

Serbia

71

sian Rusation r e Fed

30 70

31 69

32

*

68

nia

33

34

67

ma

35

66 36

65

s

ia

53

52

51

Madagascar

a nesi

Indo

Italy

Lebanon

55

Mexic o

54

57

56

o cc ro

58

46

45

48

50

49

47

Mo

43

Ze

59

60

ala

41

nd

61

40

42

44

w

Ind

39

62

38

ilip

Ph

37

64

63

e pin

Ne

Ro

France

External risk 5 4

3 2

Internal risk high risk

>1

low risk

1 - 1.9

1 low risk

2 - 2.9 3 - 3.9 4<

*

no data

high risk

no data

Cement and Aggregates IUCN Global Water Programme, 2013

Germany Hunga

ry


Cloud generic plot High Risk

Low Risk Medium Risk High Risk

Low Risk

Cement and Aggregates IUCN Global Water Programme, 2013 Water Regulation

Water Management

Stakeholders

CEM

AGG

RMX

Q6

Q7

Q8

Q11

Q12

Q12’

Q14

Q15

Q16

Q20

Q21

Q17

Awareness

Pa rtic ipa tio n

urc

L

so Q2

Water Cost

KPI’s

Re

TA

ter Wa

X

TO

G

RM

M

AG

CE

Water Use

es

No. of Operations

Go od pra ctic e

Table 8: Rapid Country Water Diagnostic SCORE

RESULT

Q21

Austria

0

17

40

57

8

1

China

0

0

4

4

9

6

positive

2

negative

Colombia

13

5

28

46

10

Costa Rica

1

1

3

5

4

6

Croatia

3

1

7

11

7

4

Czech Republic

0

9

52

61

4

6

positive result

Dominican Republic

3

1

12

16

7

5

negative result

Egypt

3

1

3

7

3

10

France

0

49

342

391

9

5

Germany

7

37

260

304

9

6

Guatemala

0

0

4

4

6

4

37

4

9

7

3

3

10

7

5

5

11

10

2

6

6

6

9

5

6

8

3

8

6

4

8

7

5

7

2

3

5

8

4

9

5

Hungary Ireland

0 0

11 27

26 33

60

Israel

0

11

55

66

Latvia

2

0

5

7

Malaysia

0

3

14

17

36

12

269

317

Nicaragua

3

2

5

10

Panama

1

2

14

17

Mexico

Philippines 1 Philippines 2 Poland Puerto Rico

3 2 2

0 0 16

0 0 64

3 2 82

3

1

16

20

21

36

77

134

Thailand

1

0

0

1

UAE

0

0

9

9

UK

5

99

366

470

USA

16

147

200

363

Spain

no data

neutral result


Editorial

06

Switzerlandâ&#x20AC;&#x2122;s global engagement

08

Portfolio evaluation

09

Overall effectiveness

10

Energy 27% High effectiveness 291 million CHF

14

Cleaner Production 15% High effectiveness 74 million CHF

16

Natural Resources 9% High effectiveness mitigation 28% High effectiveness adaptation 154 million CHF

20

Hazards 44% High effectiveness 37 million CHF

24

Livelihoods 68% High effectiveness 110 million CHF

28

Knowledge 96% High effectiveness 80 million CHF

29

Funding and grants to organizations 66% High effectiveness 490 million CHF

30

Fast-start financing

32

Conclusions

34

Outlook

THEMES

03

SDC/SECO

CHANNELS

Portfolio

High effectiveness predicted 140 million CHF

Report on Effectiveness 2014 Climate Change 2000 - 2012 SDC, 2013


Report on Effectiveness 2014 Climate Change 2000 - 2012 SDC, 2013

PORTFOLIO screening and sampling

1 4 PROJECTS, LEAVING 504

NO BUDGET NEGS

5

NO SUMMARY

2

134 PROJECTS, LEAVING 241 NO FUNDS DISPERSED

4

18 PROJECTS, LEAVING 486

118 PROJECTS, LEAVING 123

NO VALIDATION CRITERIA

3

508 PROJECTS

6

CLUSTER EXCLUSION

6 PROJECTS, LEAVING 375

105 PROJECTS, LEAVING 381

123 PROJECTS

PORTFOLIO

508 PROJECTS

screening and sampling

NO BUDGET

4 PROJECTS, LEAVING 504 18 PROJECTS, LEAVING 486

NO SUMMARY NO VALIDAITON CRITERIA

105 PROJECTS, LEAVING 381 NO FUNDS DISPERSED

6 PROJECTS, LEAVING 375

NEGS

134 PROJECTS, LEAVING 241

CLUSTER EXCLUSION

118 PROJECTS, LEAVING 123

123 PROJECTS


The world of water conflicts Institutions Institutions are deteriorating

Slow or no institutional change

Institutions are improving

Physical conditions

Physical conditions are improving

Slow or no physical change

Physical conditions are deteriorating

Likelihood / intensity of conflicts or tensions under water stress (local, intra-state / inter-sectoral, inter-state):

Actions Contain the fast change in physical conditions

High --- Very high

Replace / restore damaged or deteriorating institutions

Moderate --- High

Boost institutional adaptation

Low --- Moderate

Direct inststitutional adaptation

None --- Low

Maintain status quo, encourage improving and sustain institutions

Engaging the Network for Political Dialogue

Communication and Advocacy

Policy and diplomatic dialogue, region or workshops, capacity-building for basin population and stakeholders

issues and solutions

Tangible Joint Strategic Operations

Advocacy, mass communication, inputs to formal and informal policy, political and diplomatic processes

Joint hydrological monitoring, modelling, management and exchange of water data

Transboundary basin management plans, legal frameworks and institutions

Providing sustainable access to water and sanitation services

Water as an Asset for Peace Atlas of Risks and Opportunities SDC, 2017


Ma te

h

d child he l an alt rna

services alth he

communicab ce municab le & le d du -com n

R no e

670 projects

s ase ise

lth system hea en

Stren gh t

Impro ve

900 million CHF

Effectiveness of Swiss International Cooperation on Health Interventions 2000-2013 SDC, 2015

The Global Fund

UNAIDS

WHO

200 Millions CHF 100 50 20 10 5

UNFPA

International Planned Parenthood Federation (IPPF)

Providing for Health (P4H)

Medicine for Malaria Venture SolidarMed (MMV)

Medecin du Monde

Medecin sans Frontiere

Croix Rouge Suisse


Risques et opportunités liés au climat FOEN, 2017


Figure 5.2 National GINI coeďŹ&#x192;cient values 30

35

40

50

No data (or too old for comparison)

The Gini index measures the extent to which, within a country, the distribution of income deviates from perfect equality. A Gini index of 0 represents perfect equality, while an index of 100 implies perfect inequality. Sources: World Development Indicators, World Bank ; OECD Income distribution and poverty database ; US Central Intelligence Agency World Factbook ; 2014 (data: 2000 to 2012).

Figure 1.3 Population pyramids for Europe, Africa and Asia for 2000 and 2050 by age, sex and educational attainment Source: Samir K.C. et al, 2010. Projection of populations by level of educational attainment, age, and sex for 120 countries for 2005-2050, IIASA.

Educational attainment Higher education Secondary education Some primary education No formal education

2000 European Union

2000 Asia Age groups in years

2000 Africa

90-94 85-89 80-84 75-79 70-74 65-69 60-64 55-59 50-54 45-49 40-44 35-39 30-34 25-29 20-24 15-19

MEN

20

0

40

20

20

0

20

40

160 140 120 100 80

60

40

20

0

0

WOMEN

20

40

60

80 100 120 140 160

Million people 2050

2050

2050 100 + 95-99 90-94 85-89 80-84 75-79 70-74 65-69 60-64 55-59 50-54 45-49 40-44 35-39 30-34 25-29 20-24 15-19

20

0

20

60

40

20

0

20

40

60 160 140 120 100 80

60

40

20

0

0

20

40

60

80 100 120 140 160

The European environment â&#x20AC;&#x201C; state and outlook EEA, 2014


Figure 3.2 Life expectancy at birth by world regions until 2050 by development regions

Life expectancy at birth Years 80

Life expectancy at birth, 2012 Years European Union (EU28) North America 80 Europe and Central Asia East Asia and Pacific 75 Latin America and Caribbean Middle East and North Africa World: 70 70,8 Years Pacific Island Small States 65 South Asia 60

More developed countries

75 70

World

65 60

Less developed countries

55 50

PROJECTIONS

45

Least developed countries

35 19501955

19751980

Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.

50

45 40

Sub-Saharan Africa

55

40

20002005

20252030

20452050

35

The European environment – state and outlook EEA, 2014

Source: World Development Indicators, World Bank, 2014.

Figure 7.2 Correlation between energy use and gross domestic product, 2011. Energy use in tonnes of oil equivalent per capita 8

Asia Africa

7

United States

Canada

Europe

6

South Korea

Russia

Americas

Australia

Oceania

5

Japan

4 China

3

EU28

Germany

Italy

2

World average energy use per capita

Turkey

1

Brazil

India

0 0

5

10

15

20

25

30

35

40

45

50

Population in millions 1 000 500 250 100 55

60

65

GDP per capita (2011 USD PPP) European Union countries are represented both individually and collectively (EU28). Sources: World Development Indicators, World Bank, 2014. Fig 2.3 Middle class consumption, 1965 - 2030 Share of national middle-class consumptions 100 %

1965

Other 23 countries

Japan

5

United 37 States

EU15 34 0%

2011

40

PROJECTIONS

2030

37

Average middle-class consumption Thousand dollars per capita per year PROJECTIONS United States 20 EU15 Japan South Korea 15

2 5 8

18 India

20

17 China

26

4 9 14

No Chinese data for 1965.

Source: Brookings Institution, 2013.

Russia Malaysia

10

Brazil China India

5 1970 1980 1990 2000 2010 2020 2030


Vital Ozone graphics 3 UN Environment, 2012

Shortening time lapse before mass use of technological inventions 7

World Wide Web

long

short

12

Compact disc

13

Mobile phone

26

Black and white television

1873

1880

1876

Telephone Electricity

1890

1900

1897

1910

1920

1926

18

1951

1930

1940

1950

16

Computer

Colour television

Invention available to general public >> >> 1870

10

Smartphones 1

Time before mass use

1979 1975

1960

1970

1983

1980

31

Radio

35 46 << <<

Years necessary for an invention to be used by a quarter of the US population

1. "Early smartphones (IBM Simon,1993) were primarily used as enterprise devices and were prohibitively expensive for most consumers" (pcworld.com). Sources for smartphones: pcworld.com; WikipĂŠdia; eMarketer; US Census Bureau, 2012. Sources for other inventions: Kurzweil R. , 2005. The Singularity is Near: When Humans Transcend Biology, 2005.

1991

1990

2000

2010

The European Environment: Global Megatrends, 2010 EEA, 2010


The European Environment: Global Megatrends, 2010 EEA, 2010


Areas protected Square kilometres CROATIA

8 000 5 000

SERBIA 1

2 000

West Balkans protected areas

Prague

share of POLAND marine areas 12 %

300

CZECH REPUBLIC

BOSNIA AND HERZEGOVINA

Please note: GERMANY The same site can be protected under different status. Overlaps have been removed and areas rounded for the proportional square sizes calculation (opposite) but not for the national percentage calculation below. Some areas represented below are not recognized internationally.

SLOVAK REPUBLIC. MONTENEGRO

Vienna

1%

Bratislava

Designated sites AUSTRIA

FORMER YUGOSLAV REPUBLIC OF MACEDONIA

Budapest

West Balkan Environmental Core Set of Indicators EEA, 2012

ALBANIA

3%

1 - including Kosovo

HUNGARY

SLOVENIA

Ljubljana 8%

ROMANIA

Zagreb

0

CROATIA

Belgrade

BOSNIA AND

1%

100 km

HERZEGOVINA

Sarajevo 6%

9%

MONTENEGRO

Podgorica

Rome 4%

ITALY

Selected European countries

Pristina KOSOVO 2

Sofia BULGARIA

Skopje

Adriatic

9%

Sea

13 %

Percentage of protected areas in total national territory

Water exploitation index

SERBIA

Tirana

FORMER YUGOSLAV REPUBLIC OFMACEDONIA

Water abstraction as a percentage of available long-term freshwater resources 40 % BELGIUM

35

ALBANIA

SPAIN

30 Mediterranean

GREECE

25

Sea 2 - under UN Security Council Resolution 1244 (1999). Sources: Common Database on Designated Areas, EEA, 2011; World Database on Protected Areas, UNEP-WCMC, IUCN, 2011.

Water stress

Athens

Warning Threshold

20

HUNGARY

15

10

LITHUANIA

FORMER YUGOSLAV REPUBLIC OF MACEDONIA

5

CZECH REPUBLIC

BULGARIA

SWITZERLAND

ROMANIA SLOVENIA

0 1999

2000

2001

2002

2003

2004

2005

2006

2007

2008

2009

Sources: Eurostat, 2009; EEA, 2010; State Statistical Office and Water Economy Administration, Public Enterprises for Water Supply and Sewage System in the former Yugoslav Republic of Macedonia, 2011; Raskin et al. 1997.


Arnhem Apeldoorn Ede

La Rochelle

Copenhagen

Groningen

Antwerp

Dieren

Brussels

Malmö

Münster

REG

Number of cycling jobs per thousand people

Doetinchem

2

Nijmegen

1

0.5 0.1

Population

Basel

Vienna

More than 1 000 000 people

Ljubljana

200 000 to 1 000 000

Budapest

Ferrara

20 000 to 200 000 Less than 20 000 (towns)

Donji Milanovac

Sumadija/Pomoravlje

Bor Kladovo Negotin Zajecar Knjazevac

REG

Shkodër

Durrës Tirana Pro Map jec : Zo t : U ï En NE viro CE n m ,U N E e nt N P, W etw HO ork Cyc , 201 ling 6. and

Boljevac Sokobanja

REG: Region METRO: Metropolitan area

Korçë

Kadıköy

Pendik

Abana

(no data)

Kocaeli Bursa

Athens gre

en

jobs r

METRO

Batumi

Gölcük

epo rt, 2 016.

1995-2010 evolution

West Balkan Environmental Core Set of Indicators EEA, 2012

Consumption of ozone-depleting substances 1995 2010 874 438 3

8

CROATIA

SERBIA

BOSNIA AND HERZEGOVINA

MONTENEGRO

FORMER YUGOSLAV REPUBLIC OF MACEDONIA

ALBANIA

601 Source: UNEP Ozone Secretariat, 2011.


CLIMATE CHANGE MIGRATION CASE Bolgatanga

Sudan Savanna

Yendi

Tamale

Guinea Savanna

Bimbilla

Bole

Major Roads

Salaga

Rural-Urban Migration West Africa Ghana Meningitis Belt

Sunyani Mampong Kumasi

Ho

Obuasi

Koforidua

Cape Coast

ACCRA Winneba

Tema

Marginal non-cultiv

Sekondi-Takoradi

Climate change dynamics at community level Climate Change

Climate shift in Ghana

Flooding

Extreme hot days 1960

Health

Agriculture Wet & Dry seasons

Working hours

2003 Agriculture Wet season

Erosion

84

36

Migra

365 days

Incomes chemical fertilizers

Bush fires

Water infrastructure

Livestock Crime & Violence Deforestation

Climate change migration Case study - Ghana UNDP, 2015

Interrelated Compounding Factors


E STUDY: UPPER EAST GHANA View of a North Ghana community Overflow release from Bagré Dam after wet season heavy rains

Bagré Dam Movements of nomadic peoples

Movements of nomadic peoples Increased tendencies to crime & violence

vated lands

FULANI

(NOMADS)

CROPLAND

FULANI

VILLAGE

(NOMADS)

Declining investments & exchange

ation

Contraction of area suitable for wet & dry season agriculture

Migration to urban centres

Nomadic (Fulani)

Smallholder Farmers

Sources: DARA & the Climate Vulnerable Forum (2012) Credits: M.O. McKinnon (UNDP Geneva) and E. Tachie-Obeng (EPA-Ghana) Layout & design: Zoï Environment Network © UNDP 2015


Summary of results of 9 POPs in mothers’milk

UNIT → ng g-1 fat

drins

chlodanes

DDTs

heptachlors 10000 1000 100 10

HCB

1

Mirex toxaphene

PCB7 min

max

Summary of results of 3 POPs in mothers’milk 30 years

UNIT → pg g fat -1

40

TEQ PCDD/PCDF

30

years TEQ25 PCB

20

NGA

10 WSM

TEQ TOTAL

20 years

KIR

FJI UGA

MEX

15 years

IDN

min

MUS

SEN URY PLW MLI TGO ATG KEN GHA

JAM PER

CUB

max

Persistent Organic Pollutants in the Mothers’ Milk UN Environment, 2012


UN Strategic Plan for Biodiversity 2011-2020 EMG, 2012


Indicators Alazani / Ganykh Basin UNECE, 2015

Georgia and Azerbaijan Total water resources 97,606 million m 3 / year Total water withdrawal 14,024 million m 3 / year

Basin limits

Georgia

River length 391 km River basin area 11,717 km 2

Alazani / Ganykh basin

Azerbaijan Basin water resource 7,100 million m 3 / year

Georgia

Azerbaijan TOTAL RENEWABLE FRESHWATER RESOURCES

63,330 million

m3 /

year

34,680 million m 3 / year

of which, water withdrawal:

of which, water withdrawal:

1,823 million m 3

11,970 million m 3

Agriculture 58.2% Industry 22.1% Municipal 19.8%

Agriculture 84,4 % Industry 12.8 % (est.) Municipal 2.8 % (est.)

Alazani / Ganikh basin share: 3,500 million m 3

NB: national percentages (no data available at the basin scale)

NB: national percentages (no data available at the basin scale)

3,600 million m 3

INSTALLED ELECTRICITY GENERATING CAPACITY & HYDROPOWER 4,308 kW

7,114 kW

of which, hydropower: 2.6 million kW

of which, hydropower:

Hydropower 61 % Fossil fuel 39 %

Fossil fuel 85 % Hydropower 15 %

1.1 million kW

AGRICULTURAL LAND 19,000 km 2

4,000 km 2

NB: no data available at the basin scale

1,962 km 2

GROSS DOMESTIC PRODUCT 15,700 million dollars

66,600 million dollars NB: no data available at the basin scale

6.2 million

POPULATION 5 million people

9 million people 405,000

447,400 Sources: FAO Aquastat ; US EIA International Energy Statistics ; Word Bank , 2015.


Indicators Drina Basin UNECE, 2015


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