Mapeamento digital de atributos do solo e vulnerabilidade ao escoamento superficial, baseado no conhecimento de campo, na sub-bacia das Posses, Extrema, MG

Content Provider	Semantic Scholar
Author	Silva, Mayesse Aparecida Da
Copyright Year	2013
Abstract	Digital soil mapping (DSM) studies have become real ly important to create base maps with high accuracy, faster, and wi th small cost. The base maps have had huge application on land use planning, eva luation of soil fertility, water content, agricultural planning, soil erosion risks, and natural resources management. In an effort to improve the DSM technic s, mainly in steep landscapes, the objectives of this study were: eval uating different resolutions of digital elevation model (DEM), evaluating the appli cation of landscape classification based on geomorphons combined with D SM technics, and to apply this DSM technics to predict the risk of runoff on Posses watershed, Extrema, MG, Brazil. Five DEM resolutions were tested (grid s ze of 5, 10, 15, 25, and 50 m) to create a DEM from contour lines on regular gr id format. The best resolution was used to predict the spatial variabil ity of soil properties using DSM. The following DSM models were tested: ordinary kriging, regression kriging, and knowledge-based inference. The runoff risk was developed by a wetness index which uses soil depth and saturated h ydraulic conductivity as soil factors and topographic parameters. The soil factor s used on runoff risk were predicted by DSM technics. The results showed that the finest resolution is not the best for the study relief conditions and the re solution of 10 m is preferred. To predict the soil properties the knowledge-based inf erence that used geomorphons had the best performance for 7 of 9 soil properties studied (78%). Evaluation of runoff risks indicated that the most critical month for runoff risks was January and in this month the risk was significant for whol e watershed. The dry months (slow amount of precipitation), the runoff risk was bigger closer the drainage system, reinforcing the necessity of maintain perma nent preservation areas on the streams boundary.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://repositorio.ufla.br/jspui/bitstream/1/1257/2/TESE%20Mapeamento%20digital%20de%20atributos%20do%20solo%20e%20vulnerabilidade%20ao%20escoamento%20superficial,%20baseado%20no%20conhecimento%20de%20campo,%20na%20sub-bacia%20das%20Posses,%20Extrema,%20MG.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article