Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

Tytuł pozycji:

Vehicle inspection policy and emission analysis in Kuwait.

Tytuł:
Vehicle inspection policy and emission analysis in Kuwait.
Autorzy:
AlKheder S; Civil Engineering Department, College of Engineering and Petroleum, Kuwait University, P.O. Box 5969, 13109, SAFAT, Kuwait, Kuwait. .
AlRukaibi F; Civil Engineering Department, College of Engineering and Petroleum, Kuwait University, P.O. Box 5969, 13109, SAFAT, Kuwait, Kuwait.
Aiash A; Civil Engineering Department, College of Engineering and Petroleum, Kuwait University, P.O. Box 5969, 13109, SAFAT, Kuwait, Kuwait.
Źródło:
Environmental geochemistry and health [Environ Geochem Health] 2020 Oct; Vol. 42 (10), pp. 3415-3429. Date of Electronic Publication: 2020 Apr 25.
Typ publikacji:
Journal Article
Język:
English
Imprint Name(s):
Publication: 1999- : Dordrecht : Kluwer Academic Publishers
Original Publication: Kew, Surrey : Science and Technology Letters, 1985-
MeSH Terms:
Air Pollutants/*analysis
Air Pollution/*analysis
Motor Vehicles/*statistics & numerical data
Vehicle Emissions/*analysis
Kuwait ; Motor Vehicles/classification
Contributed Indexing:
Keywords: CO; HC; Kuwait; Multinomial logit; Neural network; Odometer reading; Place of vehicle manufacture; Technical inspection test; Vehicle’s age
Substance Nomenclature:
0 (Air Pollutants)
0 (Vehicle Emissions)
Entry Date(s):
Date Created: 20200427 Date Completed: 20201021 Latest Revision: 20201021
Update Code:
20240105
DOI:
10.1007/s10653-020-00584-5
PMID:
32335847
Czasopismo naukowe
Technical vehicle inspection centers are widespread in Kuwait. All vehicles should pass the test every 2 years if not older than 6 years or every 1 year for other vehicles. This study provided an insight into the data collected from test centers and the emission test utilized in Kuwait. Data were collected from test centers in the six Kuwaiti governorates. European standards were selected as limits for emission violations. Independent variables included the place of vehicle manufacture, vehicle's age, and odometer reading. A multinomial logit model was used to identify the significant predictors and determine the correlation between dependent and independent variables. Artificial neural network was employed to compare prediction estimates of neural network and multinomial logit. The findings showed that the place of vehicle's manufacture, vehicle's age, and odometer reading were significant regarding violating emission standards of carbon monoxide (CO). Asian vehicles, vehicles with more than 150,000 km mileage, and vehicles older than 15 years had a higher probability of failing the CO test compared to the place of manufacture. In contrast, the odometer reading was the only significant indicator for vehicles that have failed the hydrocarbons test, especially for vehicles with 150,000 km odometer reading. The findings of this study can reduce air-pollution, time, and money by targeting the most polluting vehicles; thus, more efficient test can be performed.

Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies