A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

Refined 2013-based vehicle emission inventory and its spatial and temporal characteristics in Zhengzhou, China. | LitMetric

Refined 2013-based vehicle emission inventory and its spatial and temporal characteristics in Zhengzhou, China.

Sci Total Environ

Research Institute of Environmental Science, College of Chemistry and Molecular Engineering, Zhengzhou University, Zhengzhou 450001, China.

Published: December 2017

AI Article Synopsis

  • Vehicle emissions in China, particularly in Zhengzhou, have become a significant pollution issue due to rising vehicle numbers, necessitating a more comprehensive emission inventory for 2013.
  • The inventory revealed high emissions of major pollutants: carbon monoxide (291Gg), hydrocarbons (35Gg), nitrogen oxides (106Gg), particulate matter (6Gg), sulfur dioxide (7Gg), and PM (3Gg), with light-duty gasoline vehicles contributing 55% of CO and HC emissions, while heavy-duty diesel vehicles accounted for about 60% of NO and PM emissions.
  • The emissions were spatially analyzed using a grid system based on traffic flow, showing higher concentrations in central areas of administrative districts, with a more precise

Article Abstract

Vehicle emission is becoming one of the most important pollution sources because of the increase in vehicle population and activity in China. A more reasonable and complete vehicle emission inventory in Zhengzhou for the year 2013 was developed in this study. This inventory is suitable for local emission factors and vehicle kilometers of travel. Estimates show that the total carbon monoxide (CO), hydrocarbon (HC), nitrogen oxide (NO), particulate matter (PM and PM) and sulfur dioxide (SO) emissions were 291Gg, 35Gg, 106Gg, 6Gg, 7Gg, and 3Gg, respectively. Approximately 55% of CO and HC emissions were from light duty gasoline vehicles and normal gasoline motorcycles, whereas approximately 60% of NO, PM, PM and SO were from heavy duty diesel vehicles, heavy duty diesel trucks, and medium duty diesel trucks. The spatial distribution of emissions was allocated in grid cells based on a road network and traffic flows with a resolution of 1km×1km at different road types and locations, which shows that the six aforementioned air pollutants have similar characteristics in administrative districts. Emissions are mainly concentrated on the central grid cells of each part and in good agreement with line sources. The spatial characteristics were compared at a resolution of 3km×3km and in a population-based approach. The network approach yields better level estimates in this study. Meanwhile, the preliminary temporal profiles were also established for on-road mobile source.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.scitotenv.2017.03.299DOI Listing

Publication Analysis

Top Keywords

vehicle emission
12
duty diesel
12
emission inventory
8
heavy duty
8
diesel trucks
8
grid cells
8
vehicle
5
refined 2013-based
4
2013-based vehicle
4
emission
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!