Rainfall erosivity and rainfall return period in the experimental watershed of Aracruz, in the coastal plain of Espirito Santo, Brazil

Knowledge on the factors influencing water erosion is fundamental for the choice of the best land use practices. Rainfall, expressed by rainfall erosivity, is one of the most important factors of water erosion. The objective of this study was to determine rainfall erosivity and the return period of rainfall in the Coastal Plains region, near Aracruz, a town in the state of Espírito Santo, Brazil, based on available data. Rainfall erosivity was calculated based on historic rainfall data, collected from January 1998 to July 2004 at 5 min intervals, by automatic weather stations of the Aracruz Cellulose S.A company. A linear regression with individual rainfall and erosivity data was fit to obtain an equation that allowed data extrapolation to calculate individual erosivity for a 30-year period. Based on this data the annual average rainfall erosivity in Aracruz was 8,536 MJ mm ha-1 h-1 yr-1. Of the total annual rainfall erosivity 85 % was observed in the most critical period October to March. Annual erosive rains accounted for 38 % of the events causing erosion, although the runoff volume represented 88 % of the total. The annual average rainfall erosivity return period was estimated to be 3.4 years.

Soils of the North Appalachian Experimental Watershed /

In cooperation with Ohio Agricultural Research and Development Center, Wooster, Ohio.

Hydrologic data for experimental agricultural watersheds in the United States, 1960-61 /

"Issued May 1965."

Hydrologic data for experimental agricultural watersheds in the United States, 1962 /

"Issued June 1968."

Hydrologic data for experimental agricultural watersheds in the United States, 1963 /

Mode of access: Internet.

Hydrologic data for experimental agricultural watersheds in the United States, 1964 /

Bibliography: p. 8-9.

Hydrologic data for experimental agricultural watersheds in the United States, 1965 /

"In cooperation with state Agricultural Experiment Stations."

Hydrologic data for experimental agricultural watersheds in the United States, 1966 /

Bibliography: p. 8-10.

Hydrologic data for experimental agricultural watersheds in the United States, 1967 /

Bibliography: p. 8-10.

Hydrologic data for experimental agricultural watersheds in the United States, 1969 /

Prepared in cooperation with State agricultural experiment stations.

Hydrologic data for experimental agricultural watersheds in the United States, 1971 /

"Prepared by Science and Education Administration."

Hydrologic data for experimental agricultural watersheds in the United States, 1972 /

Prepared in cooperation with state agricultural experiment stations.

Estimation of climatological water deficit in an experimental watershed in the brazilian cerrado.

ABSTRACT: This study aimed to estimate the probability of climatological water deficit in an experimental watershed in the Cerrado biome, located in the central plateau of Brazil. For that, it was used a time series of 31 years (1982?2012). The probable climatological water deficit was calculated by the difference between rainfall and probable reference evapotranspiration, on a decennial scale. The reference evapotranspiration (ET0) was estimated by the standard FAO-56 Penman-Monteith method. To estimate water deficit, it was used gamma distribution, time series of rainfall and reference evapotranspiration. The adherence of the estimated probabilities to the observed data was verified by the Kolmogorov-Smirnov nonparametric test, with significance level (a-0.05), which presented a good adjustment to the distribution models. It was observed a climatological water deficit, in greater or lesser intensity, between the annual decennials 2 and 32.

Aspectos quantitativos e qualitativos das águas da Bacia Experimental do Rio Pardo - Região de Botucatu, SP

Pós-graduação em Agronomia (Energia na Agricultura) - FCA

The radiative effect of a fir canopy on a snowpack

Models of snow processes in areas of possible large-scale change need to be site independent and physically based. Here, the accumulation and ablation of the seasonal snow cover beneath a fir canopy has been simulated with a new physically based snow-soil vegetation-atmosphere transfer scheme (Snow-SVAT) called SNOWCAN. The model was formulated by coupling a canopy optical and thermal radiation model to a physically based multilayer snow model. Simple representations of other forest effects were included. These include the reduction of wind speed and hence turbulent transfer beneath the canopy, sublimation of intercepted snow, and deposition of debris on the surface. This paper tests this new modeling approach fully at a fir site within Reynolds Creek Experimental Watershed, Idaho. Model parameters were determined at an open site and subsequently applied to the fir site. SNOWCAN was evaluated using measurements of snow depth, subcanopy solar and thermal radiation, and snowpack profiles of temperature, density, and grain size. Simulations showed good agreement with observations (e.g., fir site snow depth was estimated over the season with r(2) = 0.96), generally to within measurement error. However, the simulated temperature profiles were less accurate after a melt-freeze event, when the temperature discrepancy resulted from underestimation of the rate of liquid water flow and/or the rate of refreeze. This indicates both that the general modeling approach is applicable and that a still more complete representation of liquid water in the snowpack will be important.