and 40 kg ha–1) and a mixture of vetiver and different PAM application rates. Three simulated rainfall intensities of 15, 30 and 45 mm h–1 were applied on the treated soils. Runoff and SL were collected at different time steps. The results showed...

Rainfall erosivity, considering rainfall amount and intensity, is an important parameter for soil erosion risk assessment. The aim of this study was to evaluate the relationship between rainfall erosivity and sediment yield in Sanganeh area located...

evaluated by monthly rainfall data (1986-2005) that were recorded at all meteorological stations in north Khorasan province of Iran. Drought indices include Standard Rainfall Index (SPI), Decades Index (DI) and Percent of Normal (PNI) calculated and compared...

In this study, LAPSUS model is modified to enhance the effective rainfall estimation

by SCS curve number method. The LAPSUS model calculates discharge based on

effective rainfall and routs it towards lower neighbouring grid cells...

Since the last decade, several studies have shown the ability of Artificial Neural Networks (ANNs) in modeling of rainfall-runoff process. From methodological viewpoint, ANN belongs to more general paradigm, i.e., soft computing or computational...

This research was carried out to determine the influence of rainfall intensity and soil physico-chemical

properties on erosion behavior of 11 representative soil samples from the badlands of the Dahanghale

area in northeastern Iran...

. The relationship between production and P/T was negative in May to June and positive in January to March. In general, simultaneous of rainfall and temperature had effective roles in increasing dry matter production of grasslands in the studied areas....

The forecasting of the rainfall during December until May in Khorasan province (Northeast of Iran) by use of Adaptive Neuro – Fuzzy Inference System and Mamdani Fuzzy Inference System has been illustrated .This method includes three steps...