REGIONALIZING AWARE PER HYDROGRAPHIC

SUBZONE OF COLOMBIA Ing. Maly Puerto López*, MSc. Simon Gmünder**

• Almost all territory has the same water scarcity, but

• Scarcity episodes and locations: i.e. Valle del Cauca and Bolivar

Introduction

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Context

• Downscale for hydrographic subzones in Colombia - ISO 14046 evaluations

• AWARE: MidPoint LCA indicator for water scarcity

• WaterGAP model

Source: WULCA Source: IDEAM

Methodology

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Source: WULCA (2016) http://www.wulca-waterlca.org/project.html

Methodology

• Sub-basin areas: 361 hydrographic subzones (IDEAM, 2013)

Data: ENA 2014 (IDEAM, 2015)

• Water availability: water balance with data from 1937 meteorological stations and 464 hydrological stations

• Water Consumption: ENA 2014 - Official entities (DANE, agroindustrial associations, Municipalities..)

• Environmental Flow: D3930/2010; flow duration curve (q85 and Q75) depending on hydric regulation

Results

Results

Dry year availability scenario

Example

Location Global data National data

Cali (valle del Cauca) : 10 m3 x 0.1 = 1 m3eq 10 m3 x 1.5 = 15 m3

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Cartagena (Bolívar) : 10 m3 x 2.7 = 27 m3eq 10 m3 x 100 = 1000 m3

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Bogotá (Cundinamarca) : 10 m3 x 0.4 = 4 m3eq 10 m3 x 2.2 = 22 m3

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• Water consumption: 10 m3

• Water scarcity footprint:

Conclusions

• Most of subzones AWARE change was not significant

• But in some subzones AWARE was greater than 1, while global data is close to 0: Atlántico, Valle del Cauca and Bogotá

• This may be associated to: i) water demand close to big cities and industrial areas, ii) Water availability variation due to climate temporal and geographical variability (i.e. Niño)

• Limitations: Annual data. Delimitation (boundary’s rivers, aquifers availability). Global average change when including local data.

Recommendations

• Google Earth layer available en: https://www.shareweb.ch/site/Suiz-Agua-Colombia/Publicaciones/Pages/default.aspx

• Local data when possible, moreover in areas of high human activities concentration

• Develop methods with downscale in mind

Bibliography • Boulay A. Bare J. De Camillis C. Döll P. Gassert F., Gerten D., Humbert S., Inaba A., Itsubo N., Yan L., Margni M.,

Motoshita M., Núñez M., Pastor A., Ridoutt B., Schencker U., Shirakawa N., Vionnet S., Worbe S., Yoshikawa S., Pfister S. 2015. Consensus building on the development of a stress-based indicator for LCA-based impact assessment of water consumption: outcome of the expert workshops. Int. J. L.. C. Assess. 20(5) 577-583. En: http://link.springer.com/article/10.1007%2Fs11367-015-0869-8

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• Boulay A., Bare J., Benini L., Berger M., Manzardo A., Margni M., Motoshita M., Núñez M., Lathuillière M., Pastor A., Ridoutt B., Worbe S., Pfister S. 2016. The WULCA consensus for water scarcity footprints : Assessing impacts of water consumption based on the available water remaining (AWARE). Presentado para publicación. Capa de google earth descargable de http://www.wulca-waterlca.org/Documents/AWARE_v1_2April_7th.kmz

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• IDEAM, Instituto de Hidrología, Meteorología y Estudios Ambientales. 2013. Zonificación y codificación de cuencas hidrgráficas e hidrogelógicas. Bogotá : s.n., 2013.

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• IDEAM, Instituto de Hidrología, Meteorología y Estudios Ambientales. 2015. Estudio Nacional del Agua 2014.

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• ISO. 2014. ISO 14046 : Water footprint, guidelines and requirements. 2014.

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• WULCA. Water Use in Life Cycle Assessment. The AWARE method. [En línea] http://www.wulca-waterlca.org/project.html.

Thanks maly.puerto@admin.eda.co