Assessment in the global warning context : case study Monjolinho rural basin, Piracicaba, São Paulo, Brazil / Avaliação de cenarios no contexto do aquecimento global : estudo de caso da bacia rural do Monjolinho, Piracicaba-SP

AUTOR(ES)
DATA DE PUBLICAÇÃO

2007

RESUMO

One of the global warming effects is the increase of extreme rainfalls, which can cause many negative impacts to rural areas, such as floods and erosion. So, it is important that an equitable land use is distributed along river basins, especially in the ones where there are agricultural fields, since it can help to minimize runoff and soil erosion caused by extreme events. Furthermore, culture or cultures that help in carbon absorption presented in the atmosphere are able to reduce gases responsible for the green house effect. In this context, this work is developed in a sugar cane production area, which presents environmental problems, and aims to create scenarios that respects legal issues, generates profits, helps land occupation, settles labor force, minimizes runoff and soil erosion and increases carbon absorption. The reference scenario is the one found today, just as it is, and the produced ones are made with the assistance of a GIS tool - IDRISI. GIS also helps in the spatial dynamic modeling, landscape ecology characterization and value ration of economical issues, in order to quantify and compare each produced scenario, according to the chosen criteria. The Compromise Programming (CP) multi-criteria method is chosen to rank these scenarios and proved itself to be an effective tool. It is produced 14 different scenarios, taking into account 11 criteria (3 economical, 3 social, 3 environmental and 2 technical), in 2 different weights scenarios; one is to assess the 14 alternatives and the other is to verify the economical sustainability of the best alternatives. So, the economical criteria have theirs weights tripled. The three best alternatives pointed out by the CP remained the same despite the weights scenario, which proves their sustainability.

ASSUNTO(S)

aquecimento global global warming

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