Elsevier

Journal of Hydrology

Volume 216, Issues 3–4, 22 March 1999, Pages 155-171
Journal of Hydrology

Study of the rainfall-runoff process in the Andes region using a continuous distributed model

https://doi.org/10.1016/S0022-1694(98)00292-3Get rights and content

Abstract

The Precordillera area of the Andes Mountains (Mendoza, Argentina) is affected by severe flash floods, caused by heavy rainfall events of short duration and high intensities. A telemetric network, installed on a pilot zone since 1983, provided a set of about 150 rainfall events. In addition, about 50 flood events were recorded at the outlet of a 5.47 km2 catchment. The distributed model Areal Non-point Source Watershed Environment Response Simulation was adapted to this catchment and applied continuously over the period 1983–1994. The year 1985 was used for calibration. The model was able to reproduce runoff volume with an efficiency of 0.6, and peak discharge with an efficiency of 0.46. The largest events were however underestimated, although the model was able to reproduce the sharp increases in streamflow registered by the sensor. Based on the assumption that the model had captured the catchment behaviour, it was used to determine the main processes involved in runoff generation. The combination of rainfall and soil variability, mainly associated with a quasi-impervious area in the middle of the catchment, was found to explain the rapid increases in streamflow. Vegetation, surface storage capacity, and initial soil moisture were also influential but with a much smaller magnitude than the combination of rainfall and soil variability.

Introduction

The Piemont and Precordillera areas of the Andes mountains situated in western Mendoza (33–33.5°S, 68.8–69.1°W) (Argentina) are subject to heavy summer rainfall events of short duration and high intensities, characterised by a large spatial and temporal variability over short distances (Fernandez et al., 1997). These events can generate severe flash floods, dangerous for the downstream city of Mendoza. Therefore, it was of particular interest to understand the mechanisms leading to the runoff generation in this region. A telemetric network of automatic rain gauges was set up in 1983 on a study area of about 600 km2, westward of the city of Mendoza (Fernandez et al., 1988). A 5.47 km2 catchment, the Divisadero Largo, was also equipped with a sensor recording streamflow (Fig. 1).

The collected data were already used in various rainfall-runoff and sediment delivery studies using mainly event based models (Mulders et al. 1990a, Mulders et al. 1990b; Hoefsloot et al., 1992; Ligtenberg et al., 1992; Sharma, 1993; Sharma et al., 1996a, Sharma et al., 1996b). The major drawback of these models is the initialisation of the moisture status of the catchment prior to each storm.

Therefore, the purpose of the study was: (i) to study the feasibility of using a continuous model on the Divisadero Largo catchment, and (ii) to determine the main processes involved in runoff generation in order to explain the sharp streamflow increases registered at the outlet of the catchment. The distributed and continuous model Areal Non-point Source Watershed Environment Response Simulation (ANSWERS) (Beasley et al., 1980), modified by Bouraoui and Dillaha (1996) was used for these purposes. Available data and model are presented in Section 2. Section 3 describes the calibration and validation of the model. Finally, Section 4 presents a sensitivity study conducted on the influence of the spatial variability of surface properties and rainfall on the hydrological response of the catchment.

Section snippets

Presentation of the Divisadero Largo catchment

The Divisadero Largo catchment (latitude: 32°55′S, longitude: 68°55′W) is part of a pilot zone defined westwards of the city of Mendoza, Argentina, near the Chilean border (Fig. 1). The watershed is characterised by large slopes with an altitude varying from 950 m at the outlet to 1420 m at the upper point. The catchment is 5.47 km2. It has an elongated shape with an average width and length of 1.5 and 7 km, respectively. The geology of the catchment is very complex: eight different geological

Calibration of the model

The year 1985 was chosen for the first sensitivity tests and calibration of the model. During this year, recorded floods covered various possible scenarios, with two examples of floods separated by three days (17 and 20 January1985) and one day (21 and 22 January 1985), and another flood occurring after a long drying period (15 November 1985). The climate and rainfall data described in Section 2 were used as input variables. The parameters presented in Section 2 were used with a 30 m grid

Study of the influence of the variability of rainfall and surface properties on the generation of surface runoff

The sensitivity study was conducted using the data from 1985. A reference simulation using all the maps described in Section 2, and the distributed rainfall was defined. Then, different simulations were obtained by changing one parameter and keeping the others constant. Twenty events of 1985, where the ANSWERS model produced runoff, were selected for this purpose.

For rainfall, four simulations were performed using uniform rainfall over the whole catchment successively from rain gauges 1100,

Conclusions

The work presented in this article was a first attempt to apply a continuous and distributed model on a catchment of the Andean Precordillera. The high temporal and spatial variability of rainfall, the discontinuous nature of the streamflow, and the spatial variability of surface properties, especially soil types, complicated the modelling work. The distributed ANSWERS model was shown to perform satisfactorily on this catchment. Its distributed nature proved to be valuable for a correct

Acknowledgements

This study was funded by the French Centre National de la Recherche Scientifique (CNRS) through a grant which allowed the first author to spend eight months at INA-CRA in Mendoza, Argentina where the work was performed. Jose Zuluaga, Massimo Menenti and Bernard Seguin are thanked for their help in building the research project and their advises during its realisation. Luis Fornero, Jaap Huygen, Patricia Lopez, Jose Morabito, Marcella Nave, Sara Rodriguez, Adrian Vargas-Aranibar, Alberto Vitch

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