نتایج جستجو برای: rainfall prediction
تعداد نتایج: 282840 فیلتر نتایج به سال:
Meteorological phenomena is an area in which a large amount of data generated and where it more difficult to make predictions about events that will occur due the high number variables on they depend. In general, for this, probabilistic models are used offer with margin error, so many cases not very good. Due aforementioned conditions, use machine learning algorithms can serve improve predictio...
Rift Valley fever (RVF), a zoonotic vectorborne viral disease, causes loss of life among humans and livestock and an adverse effect on the economy of affected countries. Vaccination is the most effective way to protect livestock; however, during protracted interepidemic periods, farmers discontinue vaccination, which leads to loss of herd immunity and heavy losses of livestock when subsequent o...
The knowledge about the seasonal rainfall in some Brazilian regions is essential for agriculture and the adequate management of water resources. For this purpose, linear and nonlinear models are commonly used for seasonal rainfall prediction, while some of them are based on Artificial Neural Networks, demonstrating great potential as shown in literature. According to this tendency, this work pr...
For early warning of disasters induced by precipitation (such as floods and landslides), different kinds of rainfall thresholds are adopted, which vary from each other, on the basis on adopted hypotheses. In some cases, they represent the occurrence probability of an event (landslide or flood), in other cases the exceedance probability of a critical value for an assigned indicator I (a function...
Global climate change as a main factor affecting all ecological components, has been attended by researchers all over the world in the recent years. In this regard for simulating the rainfall, National Centers for Environmental Prediction (NCEP) data, HadCM3 data under A2 and B2 scenarios, CanESM2 data under RCP2.6, RCP4.5 and RCP8.5 scenarios were utilized. This research was performed by adopt...
[1] Extended range prediction (two to three weeks in advance) of Indian summer monsoon active (rainy) and break (dry) phases are of great importance for agricultural planning and water management. Using daily rainfall and circulation data for 23 years, a fundamental property of the monsoon intraseasonal oscillations (ISO’s) is discovered and shown that the potential predictability limit ( 20 da...
the aim of this research is investigating the relations between climatic large scale signals and spring rainfall of khorasan-e razavi province. in this research, we have analyzed 38 years of rainfall data in khorasan-e razavi province, located in northeastern iran. we attempted to train artificial neural network based upon climatic large scale signals with 38 years of rainfall data. for perform...
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