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Putting the SDGs into practice: using local data to guide strategic decision-making  

This session at the 19th Arab Water Week explores current approaches to monitoring the SDGs and how they can be improved for local-level decision-making. It highlights the importance of data disaggregation to uncover inequalities and discusses the implications for infrastructure provision. The session also presents case studies on water access, quality, wastewater monitoring, and combined water demand management. It concludes with recommendations on using local data to advance progress towards the SDGs.

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Putting the SDGs into practice: using local data to guide strategic decision-making  

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  1. Putting the SDGs into practice: using local data to guide strategic decision-making   19th Arab Water Week Monday 4th March 2019 13.30 to 15.00Organised by UN-Habitat & ACWUA

  2. Applying the SDGs at the local level • Current approaches to monitoring the SDGs have focused on the adaptation of existing instruments such as JMP, GLASS, UNEP(GEMS) etc. • The main driver for SDG monitoring is decision making. In its current form, monitoring frameworks have limited use for local-level decision making. • Inequalities are masked by inadequately disaggregated data • Much of the data exists but is often not collected, collated and fed back into decision making.

  3. The implications for infrastructure provision • Poor quality urbanization means inefficient density which greatly increases per capita costs. (basket of services, cost ratio urban:rural 1:200) • For slum dwellers and the disadvantaged who live In high-density, low income areas, high levels of faecal contamination due to poor sanitation, unprotected water supplies poor drainage and solid waste management will compound the risks • As the world is rapidly urbanizing data collection and aggregation becomes increasingly important

  4. The Case for Data DisaggregationLake Victoria Water and Sanitation InitiativeAccess to improved drinking water decreases dramatically when quantity (20L), cost (10% income), and the time (≥ 1hr) it takes to fetch water are considered: The case of Mutukula Village, Tanzania 2007 and 2010

  5. Data on water quality Is restricting most countries in the region from reporting on drinking water quality Could easily be achieved with the application of easy to use low-cost testing Has been usefully applied In other areas

  6. Risk Assessment of Water SourcesRisk Level E. coli/sample Colilert MUG #Blue/Petrifilm

  7. Jordanian Standards for effluent reuse in agriculture JS:893/2002

  8. Challengesofwastewatermonitoring • Wastewater «safetlytreated» is a criticallycomplexindicator • Comprises Domestic, Commercial, Industrial (hazardous and non-hazardous) components, bothsewered and from on-site. • Some places still use combinedsewerage • Difficultieswithdefinitions «collected» «treated» «generated»

  9. TreatmentDomestic/Commercial: Inventory of all WWTP performance

  10. Level IV: Level III +proportion of wastewatersafelyreused Wastewater Monitoring “ladder” for 6.3.1 To promote safe and efficient reuse Leve III: Level II + disaggregation on suitability of all wastewater for reuse. Level II: Level I + disaggregation of industries and other establishments complyingwithpermitteddischarge consent to sewers and direct to environment, based on national standards. Level I: Compliance on- % of wastewater collected and treated + Discharged directly to environment.

  11. Combined Water Demand Management & Resource Protection • Most urban settings face the combined impacts of high unaccounted for water and excessive contamination of water resourcesfromrapid, unplannedurbanization • An integrated programme of WDM + Reuse can augment scarce supplies, delayinginvestments and savinggovernment money • Demonstrations can beused to assess the technical/economic/social feasibility

  12. UNHABITAT Water for Cities Project Dakar, Senegal • Back in 2010 Dakar, Senegalfaced a critical situation with water supply. High unaccaounted for water >40%, polluted sources • Lac de Guiers 250km distant source was the only option • In the margins of the World Bank PSE I and PSE II projects UNHABITAT undertook a pilot WDM initiative leakdetection/communityawarenesscampaign • The WDM and resource protection components wereupscaledwithin the WB loans and resulted in a 5 yeardelay in the extended pipeline. Resource protection improved water quality in Lac de Guiers, makingtreatmentcheaper • IF THIS PROJECT WAS UNDERTAKEN TODAY GOOD DATA COULD ENABLE SIMULATION MODELS TO BE USED

  13. Concluding remarks • National SDG reporting can benefitfrom local-level data collection using new methods and statisticalapproaches. This willbe more cost effective, rapid and more reliable. • Good tools are available, theyjustneed to beapplied in differentway • Considering the «causes and effects» willenhance the use of this data in decisionmaking and priority setting in situations of scarcity and in situations of resourceconstraint. (wastewatertreatment & ambient water quality) • Upscaling and adapting initiatives such as MDG+ to providedisaggregated data willempower local governments, regulators and utilities can contribute part of the solution to advancingprogress to the SDGs

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