ABSTRACT: Soil erosion caused by tillage is proportional to the local slope curvature. The value of the coefficient of proportionality (tillage transport coefficient) depends on the interaction between tillage tool and soil. These interactions have been modeled as a three-phase motion: drag (depending only on tool characteristics), when the soil is in contact with the instrument; jump (not necessarily present for all tools), when the soil loses contact with the tool and is ejected; and rolling, when the clods roll and jump in relatively close contact with the soil surface. Three sets of equations have been proposed and assembled into a computer program (SETi, from Soil Erosion by Tillage). The model simulates the 3D behavior of the transported soil. The performance of SETi is illustrated for the case of the moldboard plow. The simulated trends closely resemble those observed in experimental studies of tillage translocation. The major improvement with respect to previous models is that tool characteristics are explicitly taken into account. Tillage erosion is one of the major soil redistributing processes within the field border. Recent research has shown that that tillage erosion is often proportional to the local slope curvature (i.e., the rate at which slope gradient varies per unit of length). In present-day models, the proportionality coefficient is considered to be a black-box coefficient, depending on tillage tool and soil characteristics. To make the relationship between tillage translocation, soil, and tool characteristics more explicit the process of soil translocation must be better understood. We have found that there are three phases of motion, each described by its own set of equations, namely, drag, jump and rolling. Each phase depends on measurable characteristics of the tillage tools and of the soil. These equations have been implemented in the SETi computer model. At present, the model has been parameterized for a moldboard plow. The simulated soil transport reproduces the trends shown in the literature, indicating that the model behaves realistically. In its present form it can already be used for calculating the tillage transport coefficient needed by the existing tillage erosion models, as well as for designing less erosive tillage tools.
Landslide susceptibility is the likelihood of a landslide occurring in a specific area based on the local terrain conditions. Susceptibility does not take into account the size, duration, or frequency of occurrence of landslides. Different approaches and methods have been proposed to determine the likelihood of occurrence of landslides: geomorphological mapping, analysis of landslide inventories, heuristic terrain zoning, statistically-based classifications and physically based numerical modelling (Aleotti and Chowdhury, 1999; Guzzetti et al., 1999). The last two approaches are preferred for assessing susceptibility in quantitative terms. Today, statistically based methods are preferred for small-scale landslide susceptibility zonations. Performing this task by using physically-based approaches is more challenging, as the performance of numerical analyses usually requires detailed geomechanical and hydrological data, whose collection demands significant time and costly efforts.However, this work is primarily motivated by the following question: Can landslide susceptibility maps at smaller scales than detail-scale truly not be attained through the application of physically-based approaches?The authors show their first attempt in answering the question through the combined application of Geographic Information Systems (GIS) and a 2.5D Limit Equilibrium Method (LEM) implemented using the SSAP software (Borselli, 2023). The results obtained in a study area in Southern Italy and the physically-based landslide susceptibility map derived at basin-scale are presented and discussed. This preliminary but yet reproducible analysis allows to drive future efforts in physically-based susceptibility zonation. ReferencesAleotti, P., & Chowdhury, R. (1999). Landslide hazard assessment: summary review and new perspectives. Bulletin of Engineering Geology and the environment, 58, 21-44. DOI: https://doi.org/10.1007/s100640050066Borselli L. (2023). "SSAP 5.2 - slope stability analysis program". Manuale di riferimento. Del codice ssap versione 5.2. Researchgate.   DOI: https://dx.doi.org/10.13140/RG.2.2.19931.03361Guzzetti, F., Carrara, A., Cardinali, M., & Reichenbach, P. (1999). Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy. Geomorphology, 31(1-4), 181-216. DOI: https://doi.org/10.1016/S0169-555X(99)00078-
The southeast of Mexico City is one of the last areas of environmental importance for the region. However, rapid urban expansion has led to a runoff increase in the presence of intense rainfall. This situation is common to many peri-urban centers close to large cities, where the urbanization of previously green areas has had a direct negative influence on the hydraulic structure. This work proposes a study that combines hydrological analysis for the definition of precipitation scenarios with hydrodynamic simulations based on the current land use. Reconstructed flood scenarios show that the runoffs descending from mountainous areas flow into cemented channels with hydraulic sections and characteristics not adequate to drain specific discharges that can reach 0.90 m2/s and water depths of the order of 2 m, caused by extreme weather phenomena, determining flooding in nearby areas. Runoffs are also intensified by the presence of non-urbanized open spaces in a state of abandonment, whose soil does not favor infiltration and promotes the flooding of residential centers with water levels higher than 1 m. The results indicate an urgent need to adopt actions to reduce flooding and favor infiltration in an area of the city that is also important for aquifer recharge.