Analysis of linear erosive dynamics and its evolutionary conjecture in agricultura...
| Grant number: | 18/09746-9 |
| Support type: | Scholarships abroad - Research Internship - Master's degree |
| Effective date (Start): | September 01, 2018 |
| Effective date (End): | November 30, 2018 |
| Field of knowledge: | Physical Sciences and Mathematics - Geosciences |
| Principal Investigator: | Cenira Maria Lupinacci |
| Grantee: | Estêvão Botura Stefanuto |
| Supervisor abroad: | Xavier Ubeda |
| Home Institution: | Instituto de Geociências e Ciências Exatas (IGCE). Universidade Estadual Paulista (UNESP). Campus de Rio Claro. Rio Claro , SP, Brazil |
| Local de pesquisa : | Universitat de Barcelona (UB), Spain |
| Associated to the scholarship: | 16/25399-1 - Analysis of linear erosive dynamics and its evolutionary conjecture in agricultural environment, BP.MS |
Abstract Modification of relief in rural environments has been drastically occurring, for both agriculture and livestock purposes. Both uses require extensive areas of land and the use of agricultural techniques for their development, as given intensive land use without the concern of adopting conservation techniques, has led to major erosion issues. In order to collaborate with studies that aim to understand the mechanism of development of linear erosive features through the work of anthropomorphic agents, it is the objective of the research of masters degree in development to point out the evolutionary trends of linear erosive features located at the cuestiform sector of Analândia (SP). To this end, it is based, as a methodological orientation, on the principles underlying the General Systems Theory applied to Geography, aiming to obtain correlations and associations that provide a global approach to the scientific object. Thus, from data obtained with field experiments (infiltration rate, penetration resistance, rainfall, monitoring of evolution of gullies erosion, surface removal / accumulation by laminar water erosion), laboratory analysis (granulometry and permeability) and mapping (land use and occupation, accumulated flow, slope, lithology and soils), it is sought to identify and map the evolutionary trends of erosive features in the rural environment to be studied. Understanding the expressive density of possible interactions, represented by 12 variables that interact among themselves, it is understood that crossing through multivariate statistical techniques, robust software and analysis of results from previous studies, will allow an understanding of interactions between data, reducing uncertainties in the prognostic data and directly impacting the research objective. (AU) | |