Os processos erosivos hídricos ocorrem naturalmente em um tempo geológico, porém as interferências antrópicas podem acelerar esse processo. Este trabalho representa um estudo da bacia do Córrego das Crioulas, localizada no munícipio de Paracatu-MG. Foram realizadas análises de diversas variáveis ambientais por meio do programa ArcGis/ESRI, sendo esses dados e informações compilados a partir de um projeto maior em intercâmbio entre a Universidade Federal de Goiás e Furnas Centrais Elétricas, denominado aqui de projeto Furnas, produzido o mapeamento de vulnerabilidade à perda de solo para a área de estudo, além da confecção do mapa de cobertura do solo em escala de detalhamento. A região de estudo possui áreas que necessitam de maior atenção quanto ao gerenciamento do uso do solo, que considere suas limitações e suscetibilidades, pois a deflagração ou intensificação de processos erosivos podem resultar em danos ao reservatório e perdas econômicas para a comunidade lindeira.
The agroecological zone model proposed by FAO (ZAE/FAO) is an important tool in agricultural planning and can be used in Jataí, which has been gaining space in the production of sugarcane. The objective of this study was to compare the observed meteorological databases (BDMEP) with the estimated ones (Xavier and NASA POWER), in the estimation of potential productivity (PP) and attainable (PA) of sugarcane and its penalties for management (PMJ) and water deficit (PDF), using the ZAE/FAO model in the municipality of Jataí - GO. To this end, the BDMEP, Xavier and NASA POWER database, 33 years old (1984-2017), were used. Using BDMEP, Xavier and NASA POWER as input in the ZAE model, we observed an average PP of 259±11, 275±10 and 267±11 Mg ha-1 as, respectively. PA reaches 200 Mg ha-1 when using BDMEP in ZAE, with 50% of the crop year with PA above 180 Mg ha-1. There was an average penalty of 114.01±6.9 for management and 85.67±4.08 Mg ha-1 in stem yield. The meteorological variables of Xavier's database can be used in the ZAE model in the prediction of productivity penalty for water deficit and sugarcane management, with 63% and 88% adjustment to BDMEP, respectively. NASA POWER can be used in the simulation of penalty for failures in sugarcane management, with up to 87% approximation of those observed. Both sources when used in the prediction model assist in agricultural planning.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.