Monitoramento temporal da pluma de contaminação no aterro de resíduos urbanos de Rio Claro (SP) por meio do método geofísico da eletrorresistividade
Geologia USP - Serie Cientifica, v. 12, n. 3, p. 99-113, 2012.
Bortolin, José Ricardo Melges
Filho, Walter Malagutti
Several factors have contributed to the increase the world production of urban solid waste, resulting in difficulties to the correct management and the final environmentally appropriate disposal, in addition to causing serious socio-economic, environmental, and public health troubles. The soil and groundwater contamination by leachate in waste disposal sites is almost always present, leveraging the emergence and/or adaptation of methodologies for environmental assessment of these areas. The geophysical methods, especially the electrical resistivity method, are fast, reliable and low-cost alternative for this purpose. This paper reports the methodology adopted for the temporal monitoring of the plume of contamination of controlled landfill in the municipality of Rio Claro (SP). Electrical resistivity data were obtained in 1999 and 2008, by the resistivity method, using the techniques of vertical electrical sounding and electrical profile. In both years, similar tests were carried out in the same locations within the disposal area. The results indicated that the plume of contamination has resistivity values less than or equal to 50 ohm.m and moves guided by 2 flows: the main, to the southeast, and the secondary, to the west. Relatively to the first series of tests in 1999, the plume of contamination was higher and deeper in 2008, contrary to what was expected for a landfill deactivated for at least 10 years.
Showing items related by title, author, creator and subject.
Cossi, Antônio Marcos; Romero, Rubén; Sanches Matovani, José Roberto
Universidade Estadual Paulista (UNESP) (2005-01-01)In this work, the planning of secondary distribution circuits is approached as a mixed integer nonlinear programming problem (MINLP). In order to solve this problem, a dedicated evolutionary algorithm (EA) is proposed. ...
Canesin, Carlos A.; Barbi, Ivo