Arid ecosystems experience prolonged dry periods, as well as storms that vary in size, intensity and frequency. As a result, nitrogen (N) retention and export patterns may be a function of individual storm characteristics. Our objective was to determine how seasonal patterns in rainfall as well as individual storm characteristics influence N transport and retention on terrestrial hill slopes in...

Using the Monte Carlo (MC) method, this paper derives arithmetic and geometric means and associated variances of the net capillary drive parameter, G, that appears in the Parlange infiltration model, as a function of soil texture and antecedent soil moisture content. Approximate expressions for the arithmetic and geometric statistics of G are also obtained, which compare favourably with MC gene...

• Landslides can be predicted using empirical and probabilistic rainfall thresholds. Soil moisture is critical in slope stability as it affects the infiltration rate. used with conventional thresholds for better performance. Idukki (India) highly a susceptible landslide zone Western Ghats. Critical conditions, considering soil wetness are derived Idukki. triggered by heavy rains increasing numb...

abstract land use change, especially natural ecosystems transformation, has high effects on soil physico-chemical as well as biological characteristics and also, has effect on runoff and soil erosion. analysis of runoff and soil erosion dynamics can be useful in improvement of management proposals and quantifying runoff and soil erosion changes. so, this research was carried out to investigate ...

Rainfall threshold estimation empirically to forecast rainfall-induced landslide events provides crucial information reduce impact. The triggered by rainfall are common in Cox's Bazar district, especially during the monsoon season. Geological settings and climatic conditions make this area more landslide-prone leading huge losses of lives property. Establishing an effective early warning system...

Simulation of the runoff-rainfall process in forest lands is essential for land management. In this research, a hydrologic modelling system (HEC-HMS) and artificial neural network (ANN) were applied to simulate rainfall-runoff (RRP) Kasilian watershed with an area 68 square kilometres. The HMS model was performed using secondary data rainfall discharge at climatology hydrometric stations, Soil ...