Applying Deep Learning Technology for Spatiotemporal Prediction of Air Pollution from Urban Mobile Sources
Language: English
Published by MDPI AG, 2026
- Hardcover
- New

Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
AbeBooks seller since June 11, 1999
Condition: New
US$ 88.23
Quantity: Over 20 available
Add to basketItem description from seller
Seller Inventory # L2-9783725863303
- Title
- Applying Deep Learning Technology for Spatiotemporal Prediction of Air Pollution from Urban Mobile Sources
- Publisher
- MDPI AG
- Publication year
- 2026
- Condition
- New
- Binding
- HRD
- Language
- English
- ISBN 10
- 372586330X
- ISBN 13
- 9783725863303
- Item weight
- 762 grams
Mobile source emissions account for more than 80% of carbon monoxide and hydrocarbons and more than 90% of nitrogen oxides and solid particles in urban air pollutants. Also, mobile source emissions have become the main source of urban air pollution, causing serious damage to the social ecological environment. Therefore, it is necessary to study the comprehensive supervision and analysis methods of urban mobile source emissions, which is of great significance for protecting public health and improving rational urban planning as well as traffic conditions. Meanwhile, the temporal and spatial distribution of urban mobile source emissions is affected by many complex factors. On the one hand, from the perspective of long-term vehicle emission inventory calculation, it mainly depends on the city's total vehicle volume and vehicle type composition. On the other hand, in terms of short-term and real-time variation in traffic emissions, it is mainly influenced by urban road network topology, traffic flow conditions, and external meteorological factors. This series of factors has led to great challenges in achieving full-time monitoring and comprehensive supervision of urban mobile source emissions. By summarizing the existing literature, we find that the focus of mobile source emissions prediction tends to shift from the road segment level to urban region scale, from a single city to cross cities, and from macro inventory prediction to fine-grained instantaneous prediction.
"Synopsis" may belong to another edition of this title.
PBShop.store UK
Fairford, GLOS, United Kingdom
AbeBooks seller since June 11, 1999
Shipping rates from United Kingdom to U.S.A.
| Item | 10 to 20 business days | 10 to 20 business days |
|---|---|---|
| First item | US$ 7.95 | US$ 7.98 |
Payment methods
Store description
Specialty
Hardbacks, PaperbacksSeller's business information
Pbshop.co.uk
Unit 22 Horcott Industrial Estate, Horcott Road
Fairford, United Kingdom GL7 4BX
Terms of sale
Returns Policy
We ask all customers to contact us for authorisation should they wish to return their order. Orders returned without authorisation may not be credited.
If you wish to return, please contact us within 14 days of receiving your order to obtain authorisation.
Returns requested beyond this time will not be authorised.
Our team will provide full instructions on how to return your order and once received our returns department will process your refund.
Please note the cost to return any unwanted order to us is borne by the buyer.
Should your order arrive damaged, not as advertised or faulty, we must be advised of this within 14 days of delivery. Please contact us so we can find the best solution for you.
Our Customer Care Team can be contacted by emailing alborders@paperbackshop.co.uk, or by calling our UK Office on +441285 712 917. We are available 9:00am till 5:30pm GMT Monday to Friday.
Shipping terms
Orders are shipped from our UK warehouse. Delivery thereafter is between 4 and 14 business days. Please contact us if you have any queries about our services or products.