نتایج جستجو برای: rainfall prediction

تعداد نتایج: 282840  

Journal: :Advances in computer science research 2023

2008
J.-C. Huang

This study anatomized algorithm effects of specific contributing area (SCA) on soil wetness estimation, consequently landslide prediction, in SHALSTAB. A subtropical mountainous catchment during three typhoon invasions is targeted. The peak 2-day rainfall intensity of the three typhoons: Haitang, Mindulle and Herb are 144, 248 and 327 mm/day, respectively. We use modified success rate (MSR) to ...

ژورنال: علوم آب و خاک 2004
امین شیروانی, , سیدمحمدجعفر ناظم السادات, ,

In Iran, about 75% of national rice production is supplied in Gilan and Mazandaran proviences which have the highest amount of precipitation. Seasonal prediction of rainfall induces significant improvement on yield production and on preventing climate hazardz over these feritle areas. Canonical correlation analysis (CCA) model was carried out evaluates the possibility of the prediction of win...

2014
Vinay Singh

This paper presents a study of neural network model for prediction of Indian rainfall. The purpose of this paper is to evaluate the applicability of ANN. In this paper the performance of different networks have been evaluated and tested.The multilayered artificial neural network with learning by backpropagation algorithm is used .The paper implements weather prediction by building training and ...

2003
HATIM O. SHARIF FRED L. OGDEN WITOLD F. KRAJEWSKI MING XUE

The prediction uncertainty of a hydrologic model is closely related to model formulation and the uncertainties in model parameters and inputs. Currently, the foremost challenges concern not only whether hydrologic model outputs match observations, but also whether or not model predictions are meaningful and useful in the contexts of land use and climate change. The latter is difficult to determ...

Journal: :IJAEC 2011
Jiansheng Wu

Rainfall forecasting is an important research topic in disaster prevention and reduction. The characteristic of rainfall involves a rather complex systematic dynamics under the influence of different meteorological factors, including linear and nonlinear pattern. Recently, many approaches to improve forecasting accuracy have been introduced. Artificial neural network (ANN), which performs a non...

Journal: :PROCEEDINGS OF THE JAPANESE CONFERENCE ON HYDRAULICS 1984

Journal: :Journal of Physics: Conference Series 2018

Journal: Desert 2014

Rainfall is considered a highly valuable climatologic resource, particularly in arid regions. As one of the primaryinputs that drive watershed dynamics, rainfall has been shown to be crucial for accurate distributed hydrologicmodeling. Precipitation is known only at certain locations; interpolation procedures are needed to predict this variablein other regions. In this study, the ordinary cokri...

Journal: :تحقیقات آب و خاک ایران 0
علی رحیمی خوب دانشیار، پردیس ابوریحان

a prediction of maximum monthly rainfall is indispensable for management of agriculture and for management of water resources. previous studies have demonstrated that see surface temperatures affect rainfall in their surrounding regions. in this study the relationship between sea surface temperatures of persian gulf and that of red sea, and maximum monthly rainfalls recorded at illam meteorolog...

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