Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Predicting Climate Change Scenarios Using Artificial Neural Networks

Predicting Climate Change Scenarios Using Artificial Neural Networks

Dehghan, Shahide
Norouzi, Hossein
Gholami, Hossein

Paperback

Environmental Studies

ISBN10: 6208456959
ISBN13: 9786208456955
Publisher: LAP Lambert Academic Publishing
Published: Sep 1 2025
Pages: 68
Weight: 0.23
Height: 0.16 Width: 6.00 Depth: 9.00
Language: English
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.

Also from

Dehghan, Shahide

View All

Also in

Environmental Studies

View All