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Improved method to calculate a water poverty index at local scale
dc.contributor.author | Giné Garriga, Ricard |
dc.contributor.author | Pérez Foguet, Agustí |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental |
dc.date.accessioned | 2010-11-09T16:12:53Z |
dc.date.available | 2010-11-09T16:12:53Z |
dc.date.created | 2010-11 |
dc.date.issued | 2010-11 |
dc.identifier.citation | Giné, R.; Pérez, A. Improved method to calculate a water poverty index at local scale. "Journal of environmental engineering (ASCE)", Novembre 2010, vol. 136, núm. 11, p. 1287-1298. |
dc.identifier.issn | 0733-9372 |
dc.identifier.uri | http://hdl.handle.net/2117/10221 |
dc.description.abstract | The Water Poverty Index (WPI) was created as an interdisciplinary indicator to assess water stress and scarcity, linking physical estimates of water availability with the socioeconomic drivers of poverty. This index has found great relevance in policy making as an effective water management tool, particularly in resources allocation and prioritization processes. Two conceptual weaknesses exist in the current index: (1) inadequate technique to combine available data and (2) poor statistical properties of the resulting composite. The purpose of this paper is to propose a suitable methodology to assess water poverty that overcomes these weaknesses. To this end, a number of combinations to create the WPI have been considered, based on indicators selection criteria, simple aggregation functions and multivariate analysis. The approach adopted has been designed for universal application at local scale. To exemplify the utilization of each alternative method, they have been piloted and implemented in the Turkana District (Kenya) as a case study. The paper concludes that the weighted multiplicative function is the most appropriate aggregation method for estimation of water poverty. It is least eclipsing and ambiguous free function, and it does not allow compensability among different variables of the index |
dc.format.extent | 12 p. |
dc.language.iso | eng |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Enginyeria civil::Enginyeria hidràulica, marítima i sanitària |
dc.subject | Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística aplicada |
dc.subject.lcsh | Hydraulic engineering |
dc.subject.lcsh | Mathematical statistics |
dc.title | Improved method to calculate a water poverty index at local scale |
dc.type | Article |
dc.subject.lemac | Enginyeria hidràulica |
dc.subject.lemac | Estadística aplicada |
dc.contributor.group | Universitat Politècnica de Catalunya. EScGD - Engineering Sciences and Global Development |
dc.contributor.group | Universitat Politècnica de Catalunya. LACÀN - Mètodes Numèrics en Ciències Aplicades i Enginyeria |
dc.identifier.doi | 10.1061/(ASCE)EE.1943-7870.0000255 |
dc.subject.ams | Classificació AMS::62 Statistics::62P Applications |
dc.relation.publisherversion | http://link.aip.org/link/?QEE/136/1287 |
dc.rights.access | Open Access |
local.identifier.drac | 3292640 |
dc.description.version | Postprint (published version) |
local.citation.author | Giné, R.; Pérez, A. |
local.citation.publicationName | Journal of environmental engineering (ASCE) |
local.citation.volume | 136 |
local.citation.number | 11 |
local.citation.startingPage | 1287 |
local.citation.endingPage | 1298 |
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