As delimitações das áreas semiáridas do Nordeste Brasil e norte de Minas Gerais podem apresentar grandes diferenças conforme os métodos classificação climática estimativa da evapotranspiração potencial (ET0) utilizados. Para demostra esta afirmação forma quantitativa, nesta pesquisa, delimitou-se as usando dois (1) índice efetivo umidade Thornthwaite (Im) (2) aridez Programa Nações Unidas para ...

In the context of climate change, irrigation has become a must for ensuring crop production because in some regions, drought episodes became more frequent. The decision to efficiently allocate water resources should be made quickly, based on tools that provide correct information with low computational effort. Therefore, we propose new user-friendly tool—IrrigTool—for assessing rate considering...

In this study, hydro-meteorological data collected from 1964 to 1976 on an approximately 5,000 ha predominantly forested coastal watershed (Turkey Creek) at the Francis Marion National Forest near Charleston, SC were analyzed to estimate annual evapotranspiration (ET) using four different empirical methods. The first one, reported by Zhang et al. (2001), that takes into account annual precipita...

The aim of this study is to analyze the characteristics of drought such as intensity, cumulative curves and trends, based on SPEI (Standardized Precipitation Evapotranspiration Index) at 8 stations in Korea from 1981 to 2010. The traditional SPEI is based on Thornthwaite equation for estimating evapotranspiration; SPEI_th. However, a standard of agricultural water management in Korea suggests F...

The potential of modeling the FAO Penman-Monteith (FAO-56 PM) method for computing reference crop evapotranspiration (ETo) using feed-forward backpropagation artificial neural networks (FFBANN) with minimal measured climate data such as with the air temperature (maximum and minimum) was investigated using local climatic data from the Wa Meteorological weather station. Three FFBANN models were d...

Vegetation effects are currently disregarded in Palmer Drought Severity Index (PDSI), and the sensitivity of PDSI to the choice of potential evaporation (EP) parameterization is often a concern. We developed a revised self-calibrating PDSI model that replaces EP with leaf area index-based total evapotranspiration (ARTS E0). It also included a simple snowmelt module. Using a unique satellite lea...

This study aims to estimate streamflow values with artificial neural networks (ANN) using various meteorological parameters. In developing the ANN model, combinations of precipitation, air temperatures, and potential evapotranspiration were used as inputs, obtained. Meteorological data is divided into 70% train, 15% test, validation. model's design, training algorithms, network architecture, in...