Soil erosion represents one of the most serious land degradation problems, and Mediterranean areas are
particularly prone to this phenomenon. In the light of climate change and human-induced variations on the
environment, the threat from soil erosion requires considerable attention. Over the last decades, estimation of
soil erosion using empirical models has long been an active research topic. Nevertheless, their application over
large areas is still a challenge due to data availability and quality. Successful monitoring can be realised with
the integration of ancillary data and remote sensing products within a GIS environment.
The main purpose of this research was to quantify the amount of soil erosion rate and to identify the spatial
patterns of erosion and deposition in the large heterogeneous semi-agricultural Bradano River basin (southern
Italy). This study presents the results of application of the Revised Universal Soil Loss Equation for Complex
Terrain (RUSLE3D) and the Unit Stream Power-based Erosion Deposition (USPED)models. In order to appreciate
the rate of soil loss and the spatial patterns of soil erosion and deposition, the two models were applied and
compared through ancillary data and multi-temporal satellite imagery by GIS application.
The analysis shows that the mean annual soil erosion rate ranges between 31 and 34 Mg ha−1 year−1.
According to both models the 37% of the Bradano basin ranges between moderate to extreme soil erosion
risk. The total amount of gross soil loss ranges between ~1.78 ∗ 106 Mg year−1, as computed with the RUSLE3D,
and ~2.10 ∗ 106 Mg year−1, as computed with the USPED.
The analysis and quantification of this phenomenon contribute to an understanding of applicability of those
empirical models over large areas.
Soil erosion represents one of the most serious land degradation problems, and Mediterranean areas areparticularly prone to this phenomenon. In the light of climate change and human-induced variations on theenvironment, the threat from soil erosion requires considerable attention. Over the last decades, estimation ofsoil erosion using empirical models has long been an active research topic. Nevertheless, their application overlarge areas is still a challenge due to data availability and quality. Successful monitoring can be realised withthe integration of ancillary data and remote sensing products within a GIS environment.The main purpose of this research was to quantify the amount of soil erosion rate and to identify the spatialpatterns of erosion and deposition in the large heterogeneous semi-agricultural Bradano River basin (southernItaly). This study presents the results of application of the Revised Universal Soil Loss Equation for ComplexTerrain (RUSLE3D) and the Unit Stream Power-based Erosion Deposition (USPED)models. In order to appreciatethe rate of soil loss and the spatial patterns of soil erosion and deposition, the two models were applied andcompared through ancillary data and multi-temporal satellite imagery by GIS application.The analysis shows that the mean annual soil erosion rate ranges between 31 and 34 Mg ha−1 year−1.According to both models the 37% of the Bradano basin ranges between moderate to extreme soil erosionrisk. The total amount of gross soil loss ranges between ~1.78 ∗ 106 Mg year−1, as computed with the RUSLE3D,and ~2.10 ∗ 106 Mg year−1, as computed with the USPED.The analysis and quantification of this phenomenon contribute to an understanding of applicability of thoseempirical models over large areas.
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