Exploring the performance of the SEDD model to predict sediment yield in eucalyptus plantations. Long-term results from an experimental catchment in Southern Italy

3rd International Conference Environment and Sustainable Development of Territories: Ecological Challenges of the 21st Century

生态环境科学;地球科学;经济学

Porto, P.^1,2 ; Cogliandro, V.^1 ; Callegari, G.^2

Dipartimento di Agraria, University Mediterranea of Reggio Calabria, Feo di Vito, Reggio Calabria

89122, Italy^1

Institute for Agricultural and Forest Systems in the Mediterranean (ISAFOM), National Research Council (CNR), Via Cavour, 4/6, Rende (CS)

87036, Italy^2

关键词: Direct measurement;    Eucalyptus plantations;    Experimental catchments;    Geomorphic contexts;    Long-term results;    Model calibration;    Runoff and sediments;    Sediment delivery distributed models;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/107/1/012020/pdf
DOI  :  10.1088/1755-1315/107/1/012020

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

In this paper, long-term sediment yield data, collected in a small (1.38 ha) Calabrian catchment (W2), reafforested with eucalyptus trees (Eucalyptus occidentalis Engl.) are used to validate the performance of the SEdiment Delivery Distributed Model (SEDD) in areas with high erosion rates. At first step, the SEDD model was calibrated using field data collected in previous field campaigns undertaken during the period 1978-1994. This first phase allowed the model calibration parameter β to be calculated using direct measurements of rainfall, runoff, and sediment output. The model was then validated in its calibrated form for an independent period (2006-2016) for which new measurements of rainfall, runoff and sediment output are also available. The analysis, carried out at event and annual scale showed good agreement between measured and predicted values of sediment yield and suggested that the SEDD model can be seen as an appropriate means of evaluating erosion risk associated with manmade plantations in marginal areas. Further work is however required to test the performance of the SEDD model as a prediction tool in different geomorphic contexts.