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- Coello Midence Balthasar, Zairis Aida
(author)
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Insufficient water supply in an urban area - case study : Tegucigalpa, Honduras
- 2011
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Licentiate thesis (other academic/artistic)abstract
- Tegucigalpa, the capital of Honduras, has experienced an unsatisfied water demand during the last three decades. The state owned water utility in charge of the water supply of the country, SANAA, has faced this deficit by providing an intermittent water supply. The intermittent water supply has increased the gap between the rich and the poor, who cannot afford water storage facilities. Theories explain water scarcity either by low precipitation or by lack of investment in water structures. This thesis investigates the applicability of both explanations by quantifying the annual precipitation in the sub catchments with water supply potential for Tegucigalpa, and identifying the problems which caused the lack of investment into the water infrastructure. The analysis concluded that even if the annual precipitation is abundant, it is not evenly distributed in time and in space. Furthermore, it is argued that the financial limitations which hindered the lack of investment in water structures originated in the low tariffs imposed, and to the practices of the patronage system.
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- Westerberg, Ida, et al.
(author)
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Precipitation data in a mountainous catchment in Honduras: quality assessment and spatiotemporal characteristics
- 2010
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In: Theoretical and Applied Climatology. - : Springer Nature. - 0177-798X .- 1434-4483. ; 101:3-4, s. 381-396
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Journal article (peer-reviewed)abstract
- An accurate description of temporal and spatial precipitation variability in Central America is important for local farming, water supply and flood management. Data quality problems and lack of consistent precipitation data impede hydrometeorological analysis in the 7,500 km2 Choluteca River basin in central Honduras, encompassing the capital Tegucigalpa. We used precipitation data from 60 daily and 13 monthly stations in 1913–2006 from five local authorities and NOAA's Global Historical Climatology Network. Quality control routines were developed to tackle the specific data quality problems. The quality-controlled data were characterised spatially and temporally, and compared with regional and larger-scale studies. Two gapfilling methods for daily data and three interpolation methods for monthly and mean annual precipitation were compared. The coefficient-of-correlation-weighting method provided the best results for gap-filling and the universal kriging method for spatial interpolation. In-homogeneity in the time series was the main quality problem, and 22% of the daily precipitation data were too poor to be used. Spatial autocorrelation for monthly precipitation was low during the dry season, and correlation increased markedly when data were temporally aggregated from a daily time scale to 4–5 days. The analysis manifested the high spatial and temporal variability caused by the diverse precipitationgenerating mechanisms and the need for an improved monitoring network.
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