Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/110000
Title: Soil erosion risk analysis of a small watershed
Other Titles: Soil erosion - risk modeling and management [working title]
Authors: Galdies, Charles
Zammit, Amy
Gauci, Adam
Keywords: Soil erosion -- Malta
Clay soils -- Malta
Soil conservation -- Malta
Conservation tillage -- Malta
Issue Date: 2023
Publisher: IntechOpen
Citation: Charles, G., Amy, Z., & Adam, G. (2023). Soil Erosion Risk Analysis of a Small Watershed. In S. Mahmood (Eds.), Soil erosion - risk modeling and management [Working Title] (pp.1-18). London: IntechOpen.
Abstract: Malta is being rapidly exposed to developmental activities occurring island and along its coastline, which in turn triggers erosion and flooding in the event of high-intensity rainfall. Most of the rainwater-containing several contaminants from urban and agricultural areas are lost as runoff into the coastal waters, which in turn have adverse environmental and socioeconomic impacts. The extent of soil erosion and runoff can be investigated starting from the watershed basin downhill till coastal waters. This study links the runoff of soil along an ecologically sensitive watershed in Malta with the use of multidisciplinary techniques. These included the estimation of soil erosivity coupled with satellite remote sensing chlorophyll-a (CHLA) and total suspended matter (TSM) in coastal waters adjacent to the mouth of the valley. This represents a novel study for the Maltese islands because it provides a precise map of soil erosion hotspots in the Ramla watershed as high as 30 ton ha−1 yr−1. Using three case studies of past torrential rain episodes, the sedimentation process resulted in a 120% and 133% increase in CHLA and TSM levels, respectively, against background levels. This information is vital for proper risk management of ecologically sensitive watershed basins.
URI: https://www.um.edu.mt/library/oar/handle/123456789/110000
Appears in Collections:Scholarly Works - FacSciGeo

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