introduction rainfall is considered as one of the most important factures in water cycle. prediction of monthly rainfall is important for many purposes such as estimating torrent, drought, run-off, sediment, irrigation programming and also management of drainage basins. rainfall prediction in each area is mediated by punctual data measured as humidity, temperature, wind speed and etc. as iran i...

A monotonic transformation is applied to hourly rainfall data to achieve marginal normality. This deenes a latent Gaussian variable, with zero rainfall corresponding to censored values below a threshold. Autocor-relations of the latent v ariable are estimated by maximum likelihood. The goodness of t of the model to Edinburgh rainfall data is comparable with that of existing point process models...

Over the last two decades, concepts of scale invariance have come to the fore in both modeling and data analysis in hydrological precipitation research. With the advent of the use of the multiplicative random cascade model, these concepts have become increasingly more important. However, unifying this statistical view of the phenomenon with the physics of rainfall has proven to be a rather nont...

Heavy rainfall events along Australia’s eastern seaboard are often associated with the occurrence of extratropical cyclones known as East Coast Lows. Such rainfall events contribute significantly to runoff and water availability, with consequences that can be beneficial (increased water storage), but also can cause major adverse effects due to both flash floods and widespread inundation. Any tr...

soil conservation service curve number method (scs-cn) is a widely applied technique for predicting direct runoff from rainfall has been used around the world. in this study, the curve number maps and entry physical model data of kheyrud basin to hec-hms model, the hec-geohms extension in arcgis software and google earth satellite images were used. in addition to the statistical analysis of sur...

We develop a simple stochastic theory for erosion and sediment transport, based on the Poisson pulse rainfall model, in order to analyze how variability in rainfall and runoff influences drainage basin evolution. Two cases are considered: sediment transport by runoff in rills and channels and particle detachment from bedrock or cohesive soils. Analytical and numerical results show that under so...

Stormwater detention tanks are widely used for mitigating impacts of combined sewer overflows (CSO) from urban catchments into receiving water bodies. The optimal size of detention tanks depends on climate and sewer system behaviours and can be estimated by using derived distribution approaches. They are based on using a stochastic model to fit the statistical pattern of observed rainfall recor...

This paper presents a fuzzy inference model for predicting rainfall using scan data from the USDA Soil Climate Analysis Network Station at Alabama Agricultural and Mechanical University (AAMU) campus for the year 2004. The model further reflects how an expert would perceive weather conditions and apply this knowledge before inferring a rainfall. Fuzzy variables were selected based on judging pa...

Analyze the static simulation of the dam by using the strength reduction principle, get the stress, strain and displacement distribution rule and the corresponding safety factor in the water level change and rainfall infiltration are two working conditions of the reservoir’s retaining dam body respectively, get the displacement of the slip plane when the unstable failure happens on the dam, the...