Snow depth measurements and predictions : Reducing environmental impact for artificial grass pitches at snowfall

Snow depth measurements and predictions : Reducing environmental impact for artificial grass pitches at snowfall

Rubber granulates, used at artificial grass pitches, pose a threat to the environment when leaking into the nature. As the granulates leak to the environment through rain water and snow clearances, they can be transported by rivers and later on end up in the marine life. Therefore, reducing the snow...

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Bibliographic Details
Main Authors: Forsblom, Findlay, Ulvatne, Lars Petter
Format: Others
Language:English
Published: Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM) 2020
Subjects:
artificial grass
rubber granulate pollution
snow depth measurement
snow level prediction
temperature index
energy index
energy balance model
machine learning
python
random forest
ultrasonic sensor
infrared sensor
lorawan
pycom lopy4
micro python
arduino uno
web application
javascript
node.js
Computer Sciences
Datavetenskap (datalogi)
Computer Engineering
Datorteknik
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-96395

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-96395

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