Name: Predicting Climate Change Scenarios Using Artificial Neural Networks (en Inglés)
SKU: 66207192
Price: 62.06 USD
Availability: InStock
Author: Dehghan, Shahide; Norouzi, Hossein; Gholami, Hossein

portada Predicting Climate Change Scenarios Using Artificial Neural Networks (en Inglés)

Predicting Climate Change Scenarios Using Artificial Neural Networks (en Inglés)

Formato

Libro Físico

Editorial

LAP Lambert Academic Publishing

Autor

Dehghan, Shahide; Norouzi, Hossein; Gholami, Hossein

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

Dimensiones

22.9x15.2x0.4 cm

ISBN13

9786208456955

Predicting Climate Change Scenarios Using Artificial Neural Networks (en Inglés)

Dehghan, Shahide; Norouzi, Hossein; Gholami, Hossein (Autor) · LAP Lambert Academic Publishing · Tapa Blanda

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Reseña del libro "Predicting Climate Change Scenarios Using Artificial Neural Networks (en Inglés)"

Climate change, by causing changes in temperature and precipitation, causes changes in river discharge. Therefore, river flow simulation is of great importance as a prerequisite for planning and managing water resources and uses. Precipitation is one of the most important climatic parameters affecting the hydrological regime of watersheds. Various methods have been proposed to predict precipitation, including time series models and artificial neural networks. These models predict climatic parameters without considering the issue of global warming and climate change. Considering climate change, global warming and recent droughts, predicting maximum temperatures as one of the most important climate parameters provides planners with a good opportunity to plan and provide necessary measures. Investigating and analyzing maximum temperatures as one of the climate parameters is of great importance in the management of water and natural resources, agriculture, the spread of pests and diseases, snowmelt and flooding, evaporation and transpiration, drought, etc.