You are hereHome | Assessment of soil susceptibility to erosion using the EPM and RUSLE models: the case of Venetikos river catchment
Assessment of soil susceptibility to erosion using the EPM and RUSLE models: the case of Venetikos river catchmentView Crossref metadata(active tab) <div id="edit-xml" class="form-item form-type-item"> <?xml version="1.0"?> <doi_batch version="4.4.1" xmlns="http://www.crossref.org/schema/4.4.1" xmlns:jats="http://www.ncbi.nlm.nih.gov/JATS1" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.crossref.org/schema/4.4.1 http://www.crossref.org/schemas/crossref4.4.1.xsd"><head><doi_batch_id>000692</doi_batch_id><timestamp>1713869485</timestamp><depositor><depositor_name>University of the Aegean</depositor_name><email_address>uoa@university.com</email_address></depositor><registrant>Global NEST Journal</registrant></head><body><journal><journal_metadata><full_title>Global NEST Journal</full_title><full_title>Global NEST: the international Journal</full_title><issn media_type="print">1790-7632</issn><issn media_type="electronic">2241-777X</issn></journal_metadata><journal_issue><titles><title>Issue 1</title></titles><publication_date><month>03</month><year>2024</year></publication_date><journal_volume><volume>18</volume></journal_volume><issue>1</issue></journal_issue><journal_article><titles><title>Assessment of soil susceptibility to erosion using the EPM and RUSLE models: the case of Venetikos river catchment</title></titles><abstract xmlns="http://www.ncbi.nlm.nih.gov/JATS1"><p><div> <p>The study aims to evaluate soil erosion and investigate its spatial distribution by applying two empirical models, namely the Erosion Potential Model (EPM), also known as Gavrilovic method, and the RUSLE model at Venetikos River catchment, the largest and most important tributary of Aliakmonas River, located at Western Macedonia, Northern Greece. To that end, a GIS-based evaluation is adopted, leading to a more accurate result. The models were implemented both annually and inter-annually. The results were compared with the catchment’s “actual” mean annual sediment yield, computed by the sediment discharge measurements conducted on a monthly basis at its outlet, namely Grevena Bridge, by the Greek Public Power Corporation (PPC) during the time period from 1965 to 1982. The Gavrilovic model slightly underestimated the outcome in comparison to the RUSLE methodology which attributed relatively more accurate results, yet performed quite similarly at both time scales. The two approaches simulated the phenomenon quite satisfactory, showing acceptable precision and allowing identification of the most susceptible to erosion and degradation areas, constituting important predictive tools for soil and environmental management in this region.</p> </div> <p> </p> </p></abstract><publication_date><month>01</month><day>26</day><year>2016</year></publication_date><pages><first_page>164</first_page><last_page>179</last_page></pages><publisher_item><identifier id_type="pii">gnest_01847</identifier></publisher_item><doi_data><doi>10.30955/gnj.001847</doi><timestamp>1713869485</timestamp><resource>https://journal.gnest.org/publication/gnest_01847</resource></doi_data></journal_article></journal></body></doi_batch> </div>
