Soil erosion susceptibility maps of the Janare Torrent Basin (Southern Italy)

2010 ◽  
Vol 6 (1) ◽  
pp. 435-447 ◽  
Author(s):  
Paolo Magliulo
Keyword(s):  
Soil Erosion ◽  
Southern Italy ◽  
Susceptibility Maps

scholarly journals A Probabilistic Assessment of Soil Erosion Susceptibility in a Head Catchment of the Jemma Basin, Ethiopian Highlands

Geosciences ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. 248 ◽  
Author(s):  
Mariaelena Cama ◽  
Calogero Schillaci ◽  
Jan Kropáček ◽  
Volker Hochschild ◽  
Alberto Bosino ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Soil Erosion ◽  
Remote Sensing Data ◽  
Gully Erosion ◽  
Entropy Model ◽  
Global Issues ◽  
Susceptibility Maps ◽  
Digital Elevation ◽  
Elevation Model ◽  
Color Composite

Soil erosion represents one of the most important global issues with serious effects on agriculture and water quality, especially in developing countries, such as Ethiopia, where rapid population growth and climatic changes affect widely mountainous areas. The Meskay catchment is a head catchment of the Jemma Basin draining into the Blue Nile (Central Ethiopia) and is characterized by high relief energy. Thus, it is exposed to high degradation dynamics, especially in the lower parts of the catchment. In this study, we aim at the geomorphological assessment of soil erosion susceptibilities. First, a geomorphological map was generated based on remote sensing observations. In particular, we mapped three categories of landforms related to (i) sheet erosion, (ii) gully erosion, and (iii) badlands using a high-resolution digital elevation model (DEM). The map was validated by a detailed field survey. Subsequently, we used the three categories as dependent variables in a probabilistic modelling approach to derive the spatial distribution of the specific process susceptibilities. In this study we applied the maximum entropy model (MaxEnt). The independent variables were derived from a set of spatial attributes describing the lithology, terrain, and land cover based on remote sensing data and DEMs. As a result, we produced three separate susceptibility maps for sheet and gully erosion as well as badlands. The resulting susceptibility maps showed good to excellent prediction performance. Moreover, to explore the mutual overlap of the three susceptibility maps, we generated a combined map as a color composite where each color represents one component of water erosion. The latter map yields useful information for land-use managers and planning purposes.

scholarly journals Multiple Effects of Intense Meteorological Events in the Benevento Province, Southern Italy

Water ◽  
2019 ◽  
Vol 11 (8) ◽  
pp. 1560 ◽  
Author(s):  
Paola Revellino ◽  
Luigi Guerriero ◽  
Neri Mascellaro ◽  
Francesco Fiorillo ◽  
Gerardo Grelle ◽  
...  
Keyword(s):  
Soil Erosion ◽  
Debris Flows ◽  
Southern Italy ◽  
Statistical Characteristics ◽  
Total Rainfall ◽  
Campania Region ◽  
Rainfall Events ◽  
Pattern Distribution ◽  
The Town ◽  
Flooded Areas

In October 2015, two intense rainfall events hit the central and southern regions of Italy and triggered a combination of different and widespread effects, including floods, landslides, and soil erosion. These outcomes devastated about 68 municipalities of the Benevento province (Campania region), killed two people, and caused millions of euros worth of damage to structures, infrastructures, and agriculture. The town of Benevento was one of the sectors most affected by overflow. Extensive areas characterized by flyschoid outcrops experienced widespread occurrences of soil erosion and landslides, and destructive, high-velocity debris flows (about 50) afflicted areas that had experienced heavy rainfall of higher intensity (total rainfall of 415.6 mm). In this study, the characteristics of these rainfall events and related geomorphological processes were determined by (i) analyzing the available rainfall data to identify the spatial pattern, distribution, and statistical characteristics of the two storms and (ii) mapping the storm effects, such as flooded areas, landslide types, and soil erosion. These effects were then related to the spatial distribution of the storms and the local geological and geomorphologic settings that drove their initiation and development.

scholarly journals Integrated approach of RUSLE, GIS and ESA Sentinel-2 satellite data for post-fire soil erosion assessment in Basilicata region (Southern Italy)

2019 ◽  
Vol 10 (1) ◽  
pp. 1563-1595 ◽  
Author(s):  
Antonio Lanorte ◽  
Giuseppe Cillis ◽  
Giuseppe Calamita ◽  
Gabriele Nolè ◽  
Angela Pilogallo ◽  
...  
Keyword(s):  
Soil Erosion ◽  
Satellite Data ◽  
Southern Italy ◽  
Integrated Approach ◽  
Basilicata Region ◽  
Soil Erosion Assessment ◽  
Sentinel 2
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