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Water 2018, 10(8), 1092; https://doi.org/10.3390/w10081092

Correction of Precipitation Records through Inverse Modeling in Watersheds of South-Central Chile

1
Department of Civil Engineering, Universidad Católica de la Santísima Concepción, Concepción 4090541, Chile
2
Centro de Investigación en Biodiversidad y Ambientes Sustentables (CIBAS), Universidad Católica de la Santísima Concepción, Concepción 4090541, Chile
*
Author to whom correspondence should be addressed.
Received: 6 July 2018 / Revised: 8 August 2018 / Accepted: 10 August 2018 / Published: 17 August 2018
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Abstract

Precipitation is the main input in the water balance of watersheds; therefore, correct estimates are necessary for water resources management and decision making. In south-central Chile there is a low density of precipitation gauges (~1 station/675 km2), most of which are located in low-altitude areas. The spatial distribution of precipitation is, therefore, not properly recorded. In this study an inverse modeling approach is used to estimate the extent to which precipitation amounts must be corrected. Using a lumped water balance model, a factor for correcting precipitation data is calculated for 41 watersheds located in south-central Chile. Then, based on a geo-statistical interpolation, a map for correcting the precipitation amounts is proposed and a validation of these corrections is achieved. The results show that in gently sloping areas, the precipitation records are more representative than in steep mountain areas. In addition, the higher the mountains, the less representative the precipitation records become. View Full-Text
Keywords: water balance; hydrological model; orography; inverse modeling water balance; hydrological model; orography; inverse modeling
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Muñoz, E.; Acuña, M.; Lucero, J.; Rojas, I. Correction of Precipitation Records through Inverse Modeling in Watersheds of South-Central Chile. Water 2018, 10, 1092.

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