Predicted the Cumulative Annual Rainfall in Iraq Using SDSM Modal

Application of Geostatistics in Time Series: Mashhad Annual Rainfall

There are numerous methods for data fillingin hydrology. Most, however, are based oncorrelations with nearby stations in a generalscheme of regionalization. These methods,though robust, fail to function when andwhere all the near stations are missed-datatoo. The Mashhad synoptic station has annualrainfall data over a 50 year period from 1951to 2000 and historic rainfall data from 1893 to1940, j...

Annual Monthly Rainfall in Berhampore, &c.

Spatial Zoning of Iran's Annual Rainfall using ANFIS-FCM Artificial-Fuzzy Neural Model

Precipitation is one of the most significant climatic parameters; its distribution and values in different areas is the result of complex linear and nonlinear relationships between atmospheric elements-climatic processes and the spatial structure of the earth's surface environment. Classification of data and placing them in small and homogeneous zones can be effective in improving the understan...

Predicting rainfall-runoff erosivity for single storms in northern Iraq

Estimation of soil loss from single storm events is essential for basin planning and nonpoint source pollution control. Rainfall-runoff erosivity factors for single storm events in northern Iraq were derived from the basic theory of soil detachment and transport. The factors derived are a single parameter which includes runoff depth only and a factor which combines runoff depth and peak rate. T...

Cumulative rainfall collectors – A tool for assessing groundwater recharge

The great majority of Southern African aquifers depend on rainfall for their recharge. The accurate estimation of recharge remains one of the biggest challenges for groundwater investigators. Accurate recharge estimations are needed for proper groundwater management as this governs the estimation of sustainable exploitation. Current estimates of recharge to aquifers range between 0.2 and 3% of ...