Watershed-level Rainfall Erosivity Mapping Using GIS-based Geostatistical Modeling

2017 ◽  
Vol 5 (1) ◽  
pp. 13-22 ◽  
Author(s):  
Hassan Fathizad ◽  
Mohammad Ali Hakimzadeh ◽  
Seyed Rashid Fallah Shamsi ◽  
Soraya Yaghobi
Keyword(s):  
Rainfall Erosivity ◽  
Geostatistical Modeling

ASSESSMENT OF SOIL EROSION USING FOURNIER INDEXES TO ESTIMATE RAINFALL EROSIVITY

2019 ◽  
Vol 18 (8) ◽  
pp. 1739-1745 ◽  
Author(s):  
Gabriel Lazar ◽  
Alina Maria Coman ◽  
Georgiana Lacatusu ◽  
Ana Maria Macsim
Keyword(s):  
Soil Erosion ◽  
Rainfall Erosivity

Mapping monthly rainfall erosivity for the Lazio Region (Italy)

2020 ◽  
Author(s):  
C. Mineo ◽  
E. Ridolfi ◽  
B. Moccia ◽  
F. Napolitano
Keyword(s):  
Monthly Rainfall ◽  
Rainfall Erosivity ◽  
Lazio Region

scholarly journals Geostatistical modeling of the spatial distribution of sediment oxygen demand within a Coastal Plain blackwater watershed

Geoderma ◽  
2010 ◽  
Vol 159 (1-2) ◽  
pp. 53-62 ◽  
Author(s):  
M. Jason Todd ◽  
R. Richard Lowrance ◽  
Pierre Goovaerts ◽  
George Vellidis ◽  
Catherine M. Pringle
Keyword(s):  
Spatial Distribution ◽  
Coastal Plain ◽  
Oxygen Demand ◽  
Sediment Oxygen Demand ◽  
Geostatistical Modeling

scholarly journals Assessing Soil Loss by Water Erosion in a Typical Mediterranean Ecosystem of Northern Greece under Current and Future Rainfall Erosivity

Water ◽  
2021 ◽  
Vol 13 (15) ◽  
pp. 2002
Author(s):  
Stefanos Stefanidis ◽  
Vasileios Alexandridis ◽  
Chrysoula Chatzichristaki ◽  
Panagiotis Stefanidis
Keyword(s):  
Open Source ◽  
Soil Loss ◽  
Renewable Resource ◽  
Mitigation Strategies ◽  
Mitigation Measures ◽  
Mediterranean Ecosystem ◽  
Rainfall Erosivity ◽  
Negative Consequences ◽  
Northern Greece ◽  
Erosion Risk

Soil is a non-renewable resource essential for life existence. During the last decades it has been threatened by accelerating erosion with negative consequences for the environment and the economy. The aim of the current study was to assess soil loss changes in a typical Mediterranean ecosystem of Northern Greece, under climate change. To this end, freely available geospatial data was collected and processed using open-source software package. The widespread RUSLE empirical erosion model was applied to estimate soil loss. Current and future rainfall erosivity were derived from a national scale study considering average weather conditions and RCMs outputs for the medium Representative Concentration Pathway scenario (RCP4.5). Results showed that average rainfall erosivity (R-Factor) was 508.85 MJ mm ha h−1 y−1 while the K-factor ranged from 0.0008 to 0.05 t ha h ha−1 MJ−1 mm−1 and LS-factor reached 60.51. Respectively, C-factor ranged from 0.01 to 0.91 and P-factor ranged from 0.42 to 1. The estimated potential soil loss rates will remain stable for the near future period (2021–2050), while an increase of approximately 9% is expected by the end of the 21th century (2071–2100). The results suggest that appropriate erosion mitigation strategies should be applied to reduce erosion risk. Subsequently, appropriate mitigation measures per Land Use/Land Cover (LULC) categories are proposed. It is worth noting that the proposed methodology has a high degree of transferability as it is based on open-source data.

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