| Global climate changes affect hydrological cycle on micro and macro scales. Due to the low efficiency in the use of water resources on the planet, scientific community comes research better methods to improve water use and economy. Many studies have been developed to predict runoff amount on agricultural watersheds intending to manage the natural resources. These studies are based on soil, topographical, vegetation and hydrological data. This paper presents on study carried out at “João Pedro stream” watershed located at the municipal districts of Linhares and Sooretama (Espírito Santo State, Brasil). Land use and occupation map produced using geoprocessing tools. Resources also showed maximum runoff rate equals to 23.6m3.s-1, and maximum runoff amount 64... |
