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Open-File Report 2008–1171

In Cooperation with the World Bank, the Romanian National Agency for Mineral Resources, and Futures Group

Initial Sediment Transport Model of the Mining-Affected Aries River Basin, Romania

By Michael J. Friedel and Joshua I. Linard

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Open-File Report
2008-1171 PDF (1.35 MB)
Abstract

The Romanian government is interested in understanding the effects of existing and future mining activities on long-term dispersal, storage, and remobilization of sediment-associated metals. An initial Soil and Water Assessment Tool (SWAT) model was prepared using available data to evaluate hypothetical failure of the Valea Sesei tailings dam at the Rosia Poieni mine in the Aries River basin. Using the available data, the initial Aries River Basin SWAT model could not be manually calibrated to accurately reproduce monthly streamflow values observed at the Turda gage station. The poor simulation of the monthly streamflow is attributed to spatially limited soil and precipitation data, limited constraint information due to spatially and temporally limited streamflow measurements, and in ability to obtain optimal parameter values when using a manual calibration process. Suggestions to improve the Aries River basin sediment transport model include accounting for heterogeneity in model input, a two-tier nonlinear calibration strategy, and analysis of uncertainty in predictions.

Version 1.0

Posted June 2008


Suggested citation:

Friedel, M.J., and Linard, J., 2008, Initial sediment transport model of the mining-affected Aries River Basin, Romania: U.S. Geological Survey, Open-File Report 2008–1171, 23 p.


Contents

Abstract

Introduction

Description of the Study Area

Methods

Model Construction

Topography

Land Use and Soils

Climate and Streamflow

Model Calibration and Validation

Results

Suggestions for Model Improvement

Model Input

Spatial Precipitation and Temperature

Spatial Soil Parameters

Point Sources and Sinks

Model Calibration

Streamflow

Validation

Sensitivity Analysis and Nonlinear Regression

Predictive Analysis

Summary and Conclusions

References Cited



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