Sediment transport in forested head water catchments - Calibration and validation of a soil erosion and landscape evolution model

JOURNAL OF HYDROLOGY

卷:554

Article

Hancock, G. R.¹  Webb, A. A.²  Turner, L.³ 

[1] Univ Newcastle, Sch Environm & Life Sci, Earth Sci Bldg, Callaghan, NSW 2308, Australia

[2] Tamworth Agr Inst, NSW Dept Primary Ind, 4 Marsden Pk Rd, Calala, NSW 2340, Australia

[3] Forestry Corp NSW, 121-131 Oratava Ave,West Pennant Hills NSW 2125, Beecroft, NSW 2119, Australia

关键词: SIBERIA;    Sediment transport;    Forest hydrology;    Landscape evolution model;    Suspended sediment;    Bedload;   

DOI  :  10.1016/j.jhydrol.2017.08.049

来源: Elsevier

【 摘 要 】

Sediment transport and soil erosion can be determined by a variety of field and modelling approaches. Computer based soil erosion and landscape evolution models (LEMs) offer the potential to be reliable assessment and prediction tools. An advantage of such models is that they provide both erosion and deposition patterns as well as total catchment sediment output. However, before use, like all models they require calibration and validation. In recent years LEMs have been used for a variety of both natural and disturbed landscape assessment. However, these models have not been evaluated for their reliability in steep forested catchments. Here, the SIBERIA LEM is calibrated and evaluated for its reliability for two steep forested catchments in south-eastern Australia. The model is independently calibrated using two methods. Firstly, hydrology and sediment transport parameters are inferred from catchment geomorphology and soil properties and secondly from catchment sediment transport and discharge data. The results demonstrate that both calibration methods provide similar parameters and reliable modelled sediment transport output. A sensitivity study of the input parameters demonstrates the model's sensitivity to correct parameterisation and also how the model could be used to assess potential timber harvesting as well as the removal of vegetation by fire. Crown Copyright (C) 2017 Published by Elsevier B.V. All rights reserved.

【 授权许可】

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