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Small Town Water Governance in Developing Countries: the Uncertainty Curse

Moglia, Magnus; Perez, Pascal; Pope, Simon; Burn, S

Description

Despite well meaning intentions, many aid interventions fail for one reason or another. The reasons are varied: lack of consideration of local circumstances and process requirements, and in particular inadequate involvement of affected stakeholders as well as inadequate cross-sectorial coordination. This is not surprising given poor organizational memory combined with decisions being made under time pressure and strict deadlines combined with little adaptive capacity. Additionally, information...[Show more]

dc.contributor.authorMoglia, Magnus
dc.contributor.authorPerez, Pascal
dc.contributor.authorPope, Simon
dc.contributor.authorBurn, S
dc.coverage.spatialCairns Australia
dc.date.accessioned2015-12-08T22:25:09Z
dc.date.createdJuly 13-17 2009
dc.identifier.isbn9780975840078
dc.identifier.urihttp://hdl.handle.net/1885/33310
dc.description.abstractDespite well meaning intentions, many aid interventions fail for one reason or another. The reasons are varied: lack of consideration of local circumstances and process requirements, and in particular inadequate involvement of affected stakeholders as well as inadequate cross-sectorial coordination. This is not surprising given poor organizational memory combined with decisions being made under time pressure and strict deadlines combined with little adaptive capacity. Additionally, information about the importance of process requirements and engagement is qualitative and as such is unfortunately often given secondary importance. To address this, we suggest a Risk assessment component as part of the project design phase based on Bayesian Networks (BNs) utilizing expert and local knowledge. This not only improves organizational memory and transparency but also provides a direct link for assessing cost benefits and minimizing the risk of failure. Most importantly this prioritizes engagement, processes and an understanding of the local context. This paper describes how BNs have been developed and tested on water supply interventions in the town of Tarawa, Kiribati. Models have been populated using data from interviews and literature to evaluate water supply options, i.e. rainwater harvesting, desalination and reserve extensions; this paper reports only on the model relating to reserves extension, i.e. new reserves for protection of groundwater extracted for water distribution purposes.
dc.publisherModelling and Simulation Society of Australia and New Zealand Inc.
dc.relation.ispartofseriesInternational Congress on Modelling and Simulation (MODSIM 2009)
dc.source18th World IMACS Congress and MODSIM09 Proceedings International Congress on Modelling and Simulation. Cairns, Australia from 13–17 July 2009
dc.subjectKeywords: Adaptive capacity; Bayesian Networks (bns); Cost benefits; Direct links; Kiribati; Organizational memory; Process requirements; Project designs; Protection of groundwater; Rain water harvesting; Risk of failure; Small towns; Time pressures; Water distribu Bayesian Networks (BNs); Risk assessment; Water aid development
dc.titleSmall Town Water Governance in Developing Countries: the Uncertainty Curse
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2009
local.identifier.absfor050205 - Environmental Management
local.identifier.ariespublicationu3154186xPUB101
local.type.statusPublished Version
local.contributor.affiliationMoglia, Magnus, College of Asia and the Pacific, ANU
local.contributor.affiliationPerez, Pascal, College of Asia and the Pacific, ANU
local.contributor.affiliationPope, Simon, Worknotes Organisation
local.contributor.affiliationBurn, S, CSIRO
local.description.embargo2037-12-31
dc.date.updated2016-02-24T09:52:30Z
local.identifier.scopusID2-s2.0-80052997901
CollectionsANU Research Publications

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