4.7 Article

Hydrological modeling of a watershed affected by acid mine drainage (Odiel River, SW Spain). Assessment of the pollutant contributing areas

Journal

JOURNAL OF HYDROLOGY
Volume 540, Issue -, Pages 196-206

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.jhydrol.2016.06.005

Keywords

Acidity; Metals; Mining pollution; Odiel; SWAT

Funding

  1. Spanish Ministry of Economy and Competitiveness [CGL-2010-21956-CO2-2, CGL-2013-48460-C2-1-R]
  2. Postdoctoral Program for the Strengthening of R+D+I capacities from Huelva University
  3. Andalusian Regional Government [P11-RNM-7199]

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The Odiel watershed drains materials belonging to the Iberian Pyrite Belt, where significant massive sulfide deposits have been mined historically. As a result, a huge amount of sulfide-rich wastes are deposited in the watershed, which suffer from oxidation, releasing acidic lixiviates with high sulfate and metal concentrations. In order to reliably estimate the metal loadings along the watershed a complete series of discharge and hydrochemical data are essential. A hydrological model was performed with SWAT (Soil and Water Assessment Tool) to solve the scarcity of gauge stations along the watershed. The model was calibrated and validated from daily discharge data (from 1980 to 2010) at the outlet of the watershed, river inputs into an existent reservoir, and a flow gauge station close to the northern area of the watershed. Discharge data obtained from the hydrological model, together with analytical data, allowed the estimation of the dissolved pollutant load delivered annually by the Odiel River (e.g. 9140 t of Al, 2760 t of Zn). The pollutant load is influenced strongly by the rainfall regime, and can even double during extremely rainy years. Around 50% of total pollution comes from the Riotinto Mining District, so the treatment of Riotinto lixiviates reaching the Odiel watershed would reduce the AMD (Acid Mine Drainages) in a remarkable way, improving the water quality downstream, especially in the reservoir of Alcolea, currently under construction. The information obtained in this study will allow the optimization of remediation efforts in the watershed, in order to improve its water quality. (C) 2016 Elsevier B.V. All rights reserved.

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