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Building a robust indicator for monitoring
  progress and prioritising investment




                                                  Less stress
                                                  No change
                                                  More stress




       Dr Caroline.Sullivan, Oxford University Centre for Water Research
The starting point for the WPI
    The GWAVA model of water
    resources in E and S Africa




                              -2.00 to -1.90
                              -1.75 to -1.50
                              -1.00 to -0.50
                              -0.50 to 0.20
                               0.20to1.0
    Source: Meigh et al, 98    1.50 to 1.75
                               0
                               1.90 to 2.00



          Dr Caroline.Sullivan, Oxford University Centre for Water Research
Assessing links between water & poverty
     using the Water Poverty Index (WPI)
 Indices: A means of measuring something otherwise immeasurable,
              and a method of conveying information .

To be useful, the WPI must be:                                   Calculating the WPI
• Easy to calculate                                                         ∑ wiXi
• Cost effective to implement                                       WPI =   i =1         or, it can be
• Based as far as possible on existing data                                              expressed
                                                                               ∑ wi      like this:
• Transparently calculated                                                     i =1

• Easy to understand                                                     wrR + waA + wcC + wuU + weE
                                                                 WPI =
S u b -c o m p o n e n ts       R e so u rc e                                wr + w a + wc + wu + we

S u b -c o m p o n e n ts       A ccess                          O v e ra ll
S u b -c o m p o n e n ts       C a p a c ity                    W PI                     The WPI
                                                                 v a lu e                has a low
S u b -c o m p o n e n ts       U se
                                                                                          score if
S u b -c o m p o n e n ts       E n v iro n m e n t                                      people are
Each component is made up of subcomponents
                                                                                         water poor
and combined using the same composite structure

                     Dr Caroline.Sullivan, Oxford University Centre for Water Research
Illustrating the value of the Water Poverty Index:
 Examples from The Dominican Republic & Haiti
                                        These two countries located on the same island, provide
                                      an excellent example to demonstrate the value of the Water
                                      Poverty Index.
                                        Although the physical conditions are very similar, the
                                      scores on the national level WPI are very different.
                                       Water managers in each country can see where their
                                      weaknesses lie, and so actions can be prioritised

       Country               Resources          Access   Capacity          Use    Environment    WPI
 Dominican Republic                7.33            14.30    15.38           11.45        10.93    59.40
 Haiti                             6.15             6.20    10.47            6.46         5.84    35.12
                       WPI component values
              Dominican Republic and Haiti (WPImax =100)
                                                                                 The situation in Haiti
                               20   Resources                                   is much worse than in
                               15
                                                            Dominican               the Dominican
                               10                           Rep.
         Environment
                                5
                                                 Access     (WPI=59.3)             Republic – this is
                                0
                                                            Haiti
                                                                                 mostly thought to be
                                                            (WPI = 35.1)                due to
                       Use                 Capacity
                                                                                  poor governance
                         Dr Caroline.Sullivan, Oxford University Centre for Water Research
Application of the WPI at the national
       scale to 148 countries




     Dr Caroline.Sullivan, Oxford University Centre for Water Research
Applying the WPI to provincial level data
                               An example from the Mun River basin,
An example from
                                 Thailand  S u b - b a s i n o f M u n B a s in

  Benin, West                                       L a m D o m N o i (0 5 3 2 )                                                            4 4 .5

                                                    L a m T a k h o n g (0 5 0 5 )                                                 3 7 .6

  Africa                                                    L a m S a e (0 5 0 3 )                                               3 7 .1

                                                L a m N a n g R o n g (0 5 0 8 )                                                3 5 .6

                                T h ir d P a r t o f L a m N a m M u n ( 0 5 2 2 )                                               3 5 .5

                                               H u a i T h u n g L u n g (0 5 3 1 )                                             3 5 .4

                                              L a m P h r a p h lo e n g ( 0 5 0 4 )                                      3 2 .5

                              L o w e r P a rt o f L a m N a m M u n (0 5 3 0 )                                          3 1 .5

                                                        L a m S a B a i (0 5 2 7 )                                     2 8 .6

                               U p p e r P a rt o f L a m N a m M u n (0 5 0 2 )                                     2 7 .7

                                                       L a m S a B o k (0 5 2 8 )                              2 4 .2

                                                    L a m S a T h a e t (0 5 1 3 )                            2 3 .8

                                                   L a m P h a n g S u (0 5 1 4 )                             2 3 .6

                                                  L a m P h l a p p h la ( 0 5 1 7 )                          2 3 .1
 Regional WPI                                        L a m P la i M a t (0 5 1 0 )                            2 2 .2
 Benin
                                                    H u a i T a k h o n g (0 5 1 5 )                        2 1 .6
     22
                                                           H u a i A e k (0 5 1 2 )                         2 0 .8
     23 - 33
     34 - 39                                    L a m C h o e n g k ra i (0 5 0 6 )                     2 0 .7

     40 - 43                                      L a m C h a k k a ra t (0 5 0 7 )                     2 0 .0
     44 - 46                                                                                            1 9 .7
                                                           L a m T a o (0 5 1 8 )
     47 - 50
                                                    L a m D o m Y a i (0 5 2 9 )                      1 9 .1
     51 - 55
                                                        L a m P a th a i (0 5 0 9 )                    1 9 .0
     56 - 63
                                                                                                       1 8 .9
                                                       H u a i P h o n g (0 5 2 6 )

                                                            L a m C h i (0 5 1 6 )                    1 8 .1

                                                    L a m S ie o N o i (0 5 2 0 )                     1 7 .6

                                                   H u a i K h a y u n g (0 5 2 5 )                 1 7 .3

                                                     H u a i S a m ra n (0 5 2 3 )
                                                                                                   1 7 .2                                                    Resource, WPI_R

                                                                                                     1 7 .1                                                  Access, WPI_A
                                                           H u a i T h a (0 5 2 4 )
                                                                                                                                                             Capacity, WPI_C
                             S e c o n d P a rt o f L a m N a m M u n (0 5 1 1 )                   1 5 .2
                                                                                                                                                             Use,WPI_U
                                                      L a m S ie o Y a i (0 5 1 9 )                 1 5 .1
                                                                                                                                                             Environment, WPI_E

                                                     H u a i S a m ra n (0 5 2 1 )                 1 1 .8

                                                                                       -   10.00   20.00        30.00           40.00       50.00    60.00    70.00   80.00    90.00   100.0
                                                                                           WPI of 31 Sub-basins in Mun River                                                            0




                Dr Caroline.Sullivan, Oxford University Centre for Water Research
Application of the WPI approach to date
•   The UN Food and Agriculture Organisation: The WPI being used as the basis for the development of
    a Rural Water Poverty Index which is being carried out by the FAO Land and Water Division
•   CANADA – The government of Canada has decided to develop a CanadianWater Sustainability Index
    which has been designed on the basis of the Water Poverty Index. The main objective of this is to
    evaluate water access and resources in the communities of indigenous people. In the workshop we
    adapted the WPI methodology and added in an additional component representing culture.
•   Taiwan – Application of the WPI at regional levels by Ministry of Water Resources, key issues identified
    through a Delphi process by government officials
•   Australia: The WPI has been used as the basis for the development of an index to be used by the
    Australian Aid Organization (AUSAID). This index will be used to evaluate performance in the water
    sector in Pacific Island states in which Australia has a strategic interest. (working with the University of
    Western Australia and Griffith University, Brisbane
•   Southern Africa: The WPI has been the basis of the development of a climate change related tool
    referred to as the Climate Vulnerability Index. This has generated a lot of interest, and is currently being
    further developed and applied in the Orange River Basin, a large transboundary basin which includes
    South Africa, Botswana, Namibia and Lesotho.
•   The CGIAR (Consultative Group on International Agricultural Research) For the Challenge
    Programme on Water and Food , the WPI has been identified as a model which can be used to evaluate
    progress in their research programme.
•   The Global Water Systems Project (GWSP) Part of the International Science Union – Dr Sullivan
    organised a workshop in Wallingford, for the Global Water Systems Project, to develop a methodology
    of developing integrated indices from large scale global datasets. This resulted in the development of a
    report which has been published as the GWSP working paper no 1, entitled ‘Mapping the Links Between
    Water Poverty and Food Security’ (www.gwsp.org)
•   USA - Contribution to the development of an integrated ‘security index’ for SANDIA, and the Centre for
    Strategic and International Studies. The WPI was used as an example of how an integrated index could
    be developed and Dr. Sullivan participated in the conceptualisation meeting as the ‘water expert’.
•   Other – numerous students from Thailand, Indonesia, Nigeria, Kenya, Argentina, Chile, Zimbabwe,
    Nepal, Ethiopia, S. Africa, UK and the United States have been conducting research on the application
    of the WPI in various countries.


                       Dr Caroline.Sullivan, Oxford University Centre for Water Research
Potential use of other sources of data




                                    Save River
                                                   Flooding of
                                                   27 February
                                                   2000

                 Limpopo River




                           Chokwe




Incomati River

                                    Xai-xai

                         Maputo




                                                 Dr Caroline.Sullivan, Oxford University Centre for Water Research
Usefulness of the integrated index approach
                                    WPI




Resource    Access               Human        Efficiency Environmental
supply                           Capacity,      of use integrity
                                 infrastructure
Benefits of WPI                                     Problems with WPI
  – All-embracing                                         – All-embracing
  – Flexible                                              – Inconsistent
  – Able to combine                                       – Mixes information
    information types

           Dr Caroline.Sullivan, Oxford University Centre for Water Research
Examining how WPI components may be
              related
                          Investigating Conditional Independence in the WPI
                                               Resources
                                              100
                                                               CI Conditional Independency
                                                                 can be investigated using
                                               80
                                                                   Bayesian techniques

                                               60


                                               40
                                                                             Access
             Environment
                                               20


                                                0

CI Conditional Independency




                                Use                               Capacity




                          Dr Caroline.Sullivan, Oxford University Centre for Water Research
Building Bayesian Networks

Identify problem,                              Construct preliminary
consult stakeholders                           BN


  Use information to suggest
  possible outcomes




Provide feedback to                               Collect data,
stakeholders, modify BN                           expert opinion




         Dr Caroline.Sullivan, Oxford University Centre for Water Research
Potential structure
 Developing an                                 Component           Variables

index for the CP                           Health                  Access to sanitation
                                                                   Access to safe domestic
                                                                   water
The structure of such an index
                                                                   Child mortality under 5
could include a measure of
                                           Environment             Flow Change
water resources which act as a
                                                                   Fragmentation of Habitats
constraint on the following
                                                                   Water Quality
components:
                                                                   Biodiversity
• Health
                                           Food                    Malnourished Children
• Food security
                                                                   Food self sufficiency
• Environment
                                                                   Climate vulnerability
• Productivity
                                                                   Political vulnerability
• Institutional/human capacity             Capacity                Participation
                                                                   Expenditure in Water sector
                                                                   Education
                                                                   Infrastructure
                                                                   Institutional capacity
                                           Water Productivity      industrial
                                                                   agriculture
              Dr Caroline.Sullivan, Oxford University Centre for Water Research
Extending the WPI through a Bayesian
approach
                                               WPI




Resource            Access                 Human        Efficiency Environmental
supply                                     Capacity,      of use integrity
                                           infrastructure
                                         Rainfall Access      Land   Capacity   Env.
    Likelihood of sufficiency  LS         11.67    7.00       2.33    3.50      1.00
    Likelihood of necessity    LN         0.18     0.82       0.26    0.44      1.00
           p(Non-Poor)         Site      Rainfall Access      Land   Capacity   Env.    p(Poor)
               0.31            Semi-arid   -3       -3          4       1         2      0.69
               0.55            Riverside   -3        4         -1       2         3      0.45
    NOTES:
    1. Large number means it's all you need
                                                                                       Probabilities make
    2. Small number means you need it
    3. Certainty that conditions are OK: best (+5) to worst (-5)                          uncertainties
                                                                                            explicit

                  Dr Caroline.Sullivan, Oxford University Centre for Water Research
Publications on the Water Poverty Index
•   Publications Journal Papers
•   Sullivan C.A. and Meigh, J.R. (2007) Integration of the biophysical and social sciences using an indicator approach:
    Addressing water problems at different scales Journal of Water Resources Management
•   Sullivan C.A. and Meigh J.R (2003) The Water Poverty Index: its role in the context of poverty alleviation. Water Policy,
    5:5. Oct 2003
•   Wallace, J S., M.C. Acreman and C. A. Sullivan (2003) The sharing of water between society and ecosystems: from
    advocacy to catchment based co-management. Philosophical Transactions of the Royal society of London, B Biology Dec
    2003, 513-528
•   Sullivan C.A., Meigh J.R., Giacomello A.M., Fediw T., Lawrence P., Samad M., Mlote S., Hutton C., Allan J.A., Schulze
    R.E., Dlamini, D.J.M., Cosgrove W., Delli Priscoli J., Gleick P., Smout I., CobbingJ., Calow R., Hunt C., Hussain A.,
    Acreman M.C., King J., Malomo S., Tate E.L., O'Regan D., Milner S. and Steyl I. (2003) The Water Poverty Index:
    Development and application at the community scale. Natural Resources 27:189-199
•   Sullivan, C.A. (2003) The Water Poverty Index: A new tool for prioritisation in water management. In: World Finance. 32-
    34
•   Sullivan C.A. (2002). Calculating a Water Poverty Index. World Development, 30, 1195-1210.
•   Sullivan C.A., (2001). The potential for calculating a meaningful Water Poverty Index. Water International, 26, 471-480.
•   Sullivan, C. A. (2000) Redefining the Water Poverty Index – A commentary. Water International, 25.4.
•   Research Reports
•   Sullivan, CA., Vörösmarty, C., Bunn, S.,Cline, S., Heidecke, C., Storygard, A.,Proussevitch,A., Douglas, E., Bossio, D.,
    Günther, D., Giacomello, AM., O’Regan, D and J.R. Meigh (2006) Mapping the Links between Water, Poverty and Food
    Security GWSP Working Paper/ CEH Report 2006 (in press)
•   Sullivan, C.A., Meigh JR and Fediw T (2002) Developing and testing the Water Poverty Index: Phase 1 Final Report.
    Report to Department for International Development, Centre for Ecology and Hydrology, Wallingford, UK.
•   Sullivan, C.A. (ed.) 2000. Constructing a Water Poverty Index: a feasibility study. Centre for Ecology and
    Hydrology/DFID.
•   Lawrence, P. Meigh, J.R. and Sullivan, C.A. (2002) The Water Poverty Index, and International Comparison. Keele
    Economics Research Papers, 2002/19
•   Book Chapter
•   Sullivan C.A. and Meigh J.R. (2003) Access to water as a dimension of poverty: the need to develop a Water Poverty
    Index as a tool for poverty reduction. In: Olcay Ünver I.H., Gupta R.K. and Kibaroğlu A. (eds.), Water Development and
    Poverty Reduction, Kluwer, Boston, 31-52.
•   Training handbook
•    Sullivan, C.A., Meigh, J.R. and D. P. O’Regan (2002) Evaluating your water: A Management Primer for the Water
    Poverty Index. CEH Wallingford.


                         Dr Caroline.Sullivan, Oxford University Centre for Water Research

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Building a robust indicator for monitoring progress and prioritising investment

  • 1. Building a robust indicator for monitoring progress and prioritising investment Less stress No change More stress Dr Caroline.Sullivan, Oxford University Centre for Water Research
  • 2. The starting point for the WPI The GWAVA model of water resources in E and S Africa -2.00 to -1.90 -1.75 to -1.50 -1.00 to -0.50 -0.50 to 0.20 0.20to1.0 Source: Meigh et al, 98 1.50 to 1.75 0 1.90 to 2.00 Dr Caroline.Sullivan, Oxford University Centre for Water Research
  • 3. Assessing links between water & poverty using the Water Poverty Index (WPI) Indices: A means of measuring something otherwise immeasurable, and a method of conveying information . To be useful, the WPI must be: Calculating the WPI • Easy to calculate ∑ wiXi • Cost effective to implement WPI = i =1 or, it can be • Based as far as possible on existing data expressed ∑ wi like this: • Transparently calculated i =1 • Easy to understand wrR + waA + wcC + wuU + weE WPI = S u b -c o m p o n e n ts R e so u rc e wr + w a + wc + wu + we S u b -c o m p o n e n ts A ccess O v e ra ll S u b -c o m p o n e n ts C a p a c ity W PI The WPI v a lu e has a low S u b -c o m p o n e n ts U se score if S u b -c o m p o n e n ts E n v iro n m e n t people are Each component is made up of subcomponents water poor and combined using the same composite structure Dr Caroline.Sullivan, Oxford University Centre for Water Research
  • 4. Illustrating the value of the Water Poverty Index: Examples from The Dominican Republic & Haiti These two countries located on the same island, provide an excellent example to demonstrate the value of the Water Poverty Index. Although the physical conditions are very similar, the scores on the national level WPI are very different. Water managers in each country can see where their weaknesses lie, and so actions can be prioritised Country Resources Access Capacity Use Environment WPI Dominican Republic 7.33 14.30 15.38 11.45 10.93 59.40 Haiti 6.15 6.20 10.47 6.46 5.84 35.12 WPI component values Dominican Republic and Haiti (WPImax =100) The situation in Haiti 20 Resources is much worse than in 15 Dominican the Dominican 10 Rep. Environment 5 Access (WPI=59.3) Republic – this is 0 Haiti mostly thought to be (WPI = 35.1) due to Use Capacity poor governance Dr Caroline.Sullivan, Oxford University Centre for Water Research
  • 5. Application of the WPI at the national scale to 148 countries Dr Caroline.Sullivan, Oxford University Centre for Water Research
  • 6. Applying the WPI to provincial level data An example from the Mun River basin, An example from Thailand S u b - b a s i n o f M u n B a s in Benin, West L a m D o m N o i (0 5 3 2 ) 4 4 .5 L a m T a k h o n g (0 5 0 5 ) 3 7 .6 Africa L a m S a e (0 5 0 3 ) 3 7 .1 L a m N a n g R o n g (0 5 0 8 ) 3 5 .6 T h ir d P a r t o f L a m N a m M u n ( 0 5 2 2 ) 3 5 .5 H u a i T h u n g L u n g (0 5 3 1 ) 3 5 .4 L a m P h r a p h lo e n g ( 0 5 0 4 ) 3 2 .5 L o w e r P a rt o f L a m N a m M u n (0 5 3 0 ) 3 1 .5 L a m S a B a i (0 5 2 7 ) 2 8 .6 U p p e r P a rt o f L a m N a m M u n (0 5 0 2 ) 2 7 .7 L a m S a B o k (0 5 2 8 ) 2 4 .2 L a m S a T h a e t (0 5 1 3 ) 2 3 .8 L a m P h a n g S u (0 5 1 4 ) 2 3 .6 L a m P h l a p p h la ( 0 5 1 7 ) 2 3 .1 Regional WPI L a m P la i M a t (0 5 1 0 ) 2 2 .2 Benin H u a i T a k h o n g (0 5 1 5 ) 2 1 .6 22 H u a i A e k (0 5 1 2 ) 2 0 .8 23 - 33 34 - 39 L a m C h o e n g k ra i (0 5 0 6 ) 2 0 .7 40 - 43 L a m C h a k k a ra t (0 5 0 7 ) 2 0 .0 44 - 46 1 9 .7 L a m T a o (0 5 1 8 ) 47 - 50 L a m D o m Y a i (0 5 2 9 ) 1 9 .1 51 - 55 L a m P a th a i (0 5 0 9 ) 1 9 .0 56 - 63 1 8 .9 H u a i P h o n g (0 5 2 6 ) L a m C h i (0 5 1 6 ) 1 8 .1 L a m S ie o N o i (0 5 2 0 ) 1 7 .6 H u a i K h a y u n g (0 5 2 5 ) 1 7 .3 H u a i S a m ra n (0 5 2 3 ) 1 7 .2 Resource, WPI_R 1 7 .1 Access, WPI_A H u a i T h a (0 5 2 4 ) Capacity, WPI_C S e c o n d P a rt o f L a m N a m M u n (0 5 1 1 ) 1 5 .2 Use,WPI_U L a m S ie o Y a i (0 5 1 9 ) 1 5 .1 Environment, WPI_E H u a i S a m ra n (0 5 2 1 ) 1 1 .8 - 10.00 20.00 30.00 40.00 50.00 60.00 70.00 80.00 90.00 100.0 WPI of 31 Sub-basins in Mun River 0 Dr Caroline.Sullivan, Oxford University Centre for Water Research
  • 7. Application of the WPI approach to date • The UN Food and Agriculture Organisation: The WPI being used as the basis for the development of a Rural Water Poverty Index which is being carried out by the FAO Land and Water Division • CANADA – The government of Canada has decided to develop a CanadianWater Sustainability Index which has been designed on the basis of the Water Poverty Index. The main objective of this is to evaluate water access and resources in the communities of indigenous people. In the workshop we adapted the WPI methodology and added in an additional component representing culture. • Taiwan – Application of the WPI at regional levels by Ministry of Water Resources, key issues identified through a Delphi process by government officials • Australia: The WPI has been used as the basis for the development of an index to be used by the Australian Aid Organization (AUSAID). This index will be used to evaluate performance in the water sector in Pacific Island states in which Australia has a strategic interest. (working with the University of Western Australia and Griffith University, Brisbane • Southern Africa: The WPI has been the basis of the development of a climate change related tool referred to as the Climate Vulnerability Index. This has generated a lot of interest, and is currently being further developed and applied in the Orange River Basin, a large transboundary basin which includes South Africa, Botswana, Namibia and Lesotho. • The CGIAR (Consultative Group on International Agricultural Research) For the Challenge Programme on Water and Food , the WPI has been identified as a model which can be used to evaluate progress in their research programme. • The Global Water Systems Project (GWSP) Part of the International Science Union – Dr Sullivan organised a workshop in Wallingford, for the Global Water Systems Project, to develop a methodology of developing integrated indices from large scale global datasets. This resulted in the development of a report which has been published as the GWSP working paper no 1, entitled ‘Mapping the Links Between Water Poverty and Food Security’ (www.gwsp.org) • USA - Contribution to the development of an integrated ‘security index’ for SANDIA, and the Centre for Strategic and International Studies. The WPI was used as an example of how an integrated index could be developed and Dr. Sullivan participated in the conceptualisation meeting as the ‘water expert’. • Other – numerous students from Thailand, Indonesia, Nigeria, Kenya, Argentina, Chile, Zimbabwe, Nepal, Ethiopia, S. Africa, UK and the United States have been conducting research on the application of the WPI in various countries. Dr Caroline.Sullivan, Oxford University Centre for Water Research
  • 8. Potential use of other sources of data Save River Flooding of 27 February 2000 Limpopo River Chokwe Incomati River Xai-xai Maputo Dr Caroline.Sullivan, Oxford University Centre for Water Research
  • 9. Usefulness of the integrated index approach WPI Resource Access Human Efficiency Environmental supply Capacity, of use integrity infrastructure Benefits of WPI Problems with WPI – All-embracing – All-embracing – Flexible – Inconsistent – Able to combine – Mixes information information types Dr Caroline.Sullivan, Oxford University Centre for Water Research
  • 10. Examining how WPI components may be related Investigating Conditional Independence in the WPI Resources 100 CI Conditional Independency can be investigated using 80 Bayesian techniques 60 40 Access Environment 20 0 CI Conditional Independency Use Capacity Dr Caroline.Sullivan, Oxford University Centre for Water Research
  • 11. Building Bayesian Networks Identify problem, Construct preliminary consult stakeholders BN Use information to suggest possible outcomes Provide feedback to Collect data, stakeholders, modify BN expert opinion Dr Caroline.Sullivan, Oxford University Centre for Water Research
  • 12. Potential structure Developing an Component Variables index for the CP Health Access to sanitation Access to safe domestic water The structure of such an index Child mortality under 5 could include a measure of Environment Flow Change water resources which act as a Fragmentation of Habitats constraint on the following Water Quality components: Biodiversity • Health Food Malnourished Children • Food security Food self sufficiency • Environment Climate vulnerability • Productivity Political vulnerability • Institutional/human capacity Capacity Participation Expenditure in Water sector Education Infrastructure Institutional capacity Water Productivity industrial agriculture Dr Caroline.Sullivan, Oxford University Centre for Water Research
  • 13. Extending the WPI through a Bayesian approach WPI Resource Access Human Efficiency Environmental supply Capacity, of use integrity infrastructure Rainfall Access Land Capacity Env. Likelihood of sufficiency LS 11.67 7.00 2.33 3.50 1.00 Likelihood of necessity LN 0.18 0.82 0.26 0.44 1.00 p(Non-Poor) Site Rainfall Access Land Capacity Env. p(Poor) 0.31 Semi-arid -3 -3 4 1 2 0.69 0.55 Riverside -3 4 -1 2 3 0.45 NOTES: 1. Large number means it's all you need Probabilities make 2. Small number means you need it 3. Certainty that conditions are OK: best (+5) to worst (-5) uncertainties explicit Dr Caroline.Sullivan, Oxford University Centre for Water Research
  • 14. Publications on the Water Poverty Index • Publications Journal Papers • Sullivan C.A. and Meigh, J.R. (2007) Integration of the biophysical and social sciences using an indicator approach: Addressing water problems at different scales Journal of Water Resources Management • Sullivan C.A. and Meigh J.R (2003) The Water Poverty Index: its role in the context of poverty alleviation. Water Policy, 5:5. Oct 2003 • Wallace, J S., M.C. Acreman and C. A. Sullivan (2003) The sharing of water between society and ecosystems: from advocacy to catchment based co-management. Philosophical Transactions of the Royal society of London, B Biology Dec 2003, 513-528 • Sullivan C.A., Meigh J.R., Giacomello A.M., Fediw T., Lawrence P., Samad M., Mlote S., Hutton C., Allan J.A., Schulze R.E., Dlamini, D.J.M., Cosgrove W., Delli Priscoli J., Gleick P., Smout I., CobbingJ., Calow R., Hunt C., Hussain A., Acreman M.C., King J., Malomo S., Tate E.L., O'Regan D., Milner S. and Steyl I. (2003) The Water Poverty Index: Development and application at the community scale. Natural Resources 27:189-199 • Sullivan, C.A. (2003) The Water Poverty Index: A new tool for prioritisation in water management. In: World Finance. 32- 34 • Sullivan C.A. (2002). Calculating a Water Poverty Index. World Development, 30, 1195-1210. • Sullivan C.A., (2001). The potential for calculating a meaningful Water Poverty Index. Water International, 26, 471-480. • Sullivan, C. A. (2000) Redefining the Water Poverty Index – A commentary. Water International, 25.4. • Research Reports • Sullivan, CA., Vörösmarty, C., Bunn, S.,Cline, S., Heidecke, C., Storygard, A.,Proussevitch,A., Douglas, E., Bossio, D., Günther, D., Giacomello, AM., O’Regan, D and J.R. Meigh (2006) Mapping the Links between Water, Poverty and Food Security GWSP Working Paper/ CEH Report 2006 (in press) • Sullivan, C.A., Meigh JR and Fediw T (2002) Developing and testing the Water Poverty Index: Phase 1 Final Report. Report to Department for International Development, Centre for Ecology and Hydrology, Wallingford, UK. • Sullivan, C.A. (ed.) 2000. Constructing a Water Poverty Index: a feasibility study. Centre for Ecology and Hydrology/DFID. • Lawrence, P. Meigh, J.R. and Sullivan, C.A. (2002) The Water Poverty Index, and International Comparison. Keele Economics Research Papers, 2002/19 • Book Chapter • Sullivan C.A. and Meigh J.R. (2003) Access to water as a dimension of poverty: the need to develop a Water Poverty Index as a tool for poverty reduction. In: Olcay Ünver I.H., Gupta R.K. and Kibaroğlu A. (eds.), Water Development and Poverty Reduction, Kluwer, Boston, 31-52. • Training handbook • Sullivan, C.A., Meigh, J.R. and D. P. O’Regan (2002) Evaluating your water: A Management Primer for the Water Poverty Index. CEH Wallingford. Dr Caroline.Sullivan, Oxford University Centre for Water Research