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Evaluating and Modelling Soil Detachment Capacity in Rills After Treatment With Biochar From Solid Waste of Olive Oil Mills

Articolo
Data di Pubblicazione:
2025
Citazione:
Evaluating and Modelling Soil Detachment Capacity in Rills After Treatment With Biochar From Solid Waste of Olive Oil Mills / Parhizkar, M., Lucas‐borja, M.E., Zema, D.A.. - In: HYDROLOGICAL PROCESSES. - ISSN 0885-6087. - 39:1(2025). [10.1002/hyp.70067]
Abstract:
Although being a viable substrate to reduce soil erosion, the effects of biochar from solid waste of olive oil mills (OMSW biochar) on soil detachment capacity in rills (Dc) has never been explored. Furthermore, no equations have been proposed to predict important parameters (soil erodibility factor, Kr, shear stress, τ, and its critical value, τc, for rills) of this hydrological process in treated soils. This study was conducted in agro-forest sites of Northern Iran to evaluate Dc and key properties of soils–organic carbon (OC), aggregate stability (MWD), bulk density (BD) and carbon exchange capacity (CEC)—treated with OMSW biochar in comparison to untreated sites through flume experiments. Moreover, regression models were developed to predict Dc, Kr and τc for both treated and untreated soils. Compared with the untreated soil, the application of this biochar noticeably increased OC (+85%), MWD (+51%) and CEC (+101%), and reduced BD (−11%) and Dc (−31%). The correlation analysis revealed significant but not high associations between physical properties on one the hand, and soil detachment capacity in rills, on the other hand. Overall, the soil treatment with OMSW biochar impacted agro-forest soils to a severe extent. Treated soils were discriminated from untreated sites into two distinct groups by the principal component analysis and agglomerative hierarchical cluster analysis. The linear equations interpolating Dc and τ estimated Kr, and τc with accuracy in treated and untreated soils (r2 > 0.74, p < 0.05). The best prediction capacity of Dc was given by power equations applied to the stream power (r2 > 0.78, p < 0.05). The multiple regression equation developed to estimate Dc from the water flow rate and soil slope was also very accurate (r2 > 0.95 and NSE, coefficient of Nash and Sutcliffe, > 0.89). These results help land managers and hydrologists to control and predict rill detachment in long and steep hillslopes against the risk of soil erosion.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
erosion models; regression analysis; shear stress; soil conservation; soil erodibility factor
Elenco autori:
Parhizkar, Misagh; Lucas‐borja, Manuel Esteban; Zema, Demetrio Antonio
Autori di Ateneo:
ZEMA Demetrio Antonio
Link alla scheda completa:
https://iris.unirc.it/handle/20.500.12318/155828
Pubblicato in:
HYDROLOGICAL PROCESSES
Journal
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