A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 197

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1075
Function: getPubMedXML

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3195
Function: GetPubMedArticleOutput_2016

File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 317
Function: require_once

Pollution characteristics in a dusty season based on highly time-resolved online measurements in northwest China. | LitMetric

Pollution characteristics in a dusty season based on highly time-resolved online measurements in northwest China.

Sci Total Environ

Key Laboratory of Western China's Environmental Systems (Ministry of Education), College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China.

Published: February 2019


Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

To investigate the pollution characteristics and potential sources in a dusty season, an online analyzer was used to measure trace gases and major water-soluble ions in PM from April 1st to May 29th, 2011 in Lanzhou. The average concentrations of HONO, HNO, HCl, SO and NH were 0.93, 1.16, 0.48, 9.29 and 5.54 μg/m, respectively, and 2.8, 2.76, 8.28 and 2.48 μg/m for Cl, NO, SO and NH. In the non-dust period, diurnal variations of SO, NO and their gaseous precursors showed similar change trend. NH showed unimodal pattern whereas NH illustrated a bimodal pattern. HCl and Cl showed an opposite diurnal pattern. In the dust event, temporal profiles of HCl and Cl, SO and SO all presented similar change trend, and SO and Cl preceded dust ions (Ca and Mg) 13 h. The ratios of NO to SO were 0.65 in the non-dust period and 0.31 in the dust event. In the dust event, the sulfur oxidation ratio (SOR) was a factor of 1.33 greater than that in the non-dust period, and [SO]/[SO] was 2.31 times of that in the non-dust period. The source apportionment using Probabilistic Matrix Factorization (PMF) suggested that fugitive dust (58.09%), secondary aerosols (33.98%), and biomass burning (7.93%) were the major sources in the non-dust period whereas dust (67.01%), salt lake (29.68%), biomass burning (0.8%), and motor vehicle (2.51%) were the primary sources in the dust event. Concentration weighted trajectory (CWT) model indicated that NO, Cl and K could be regarded as local source species, the potential sources of Na, Mg and Ca concentrated in the two large areas with the one covered in the junction areas of Xinjiang, Qinghai and Gansu and another one covered the places around in Lanzhou, the potential sources of SO were mainly localized in the areas adjacent to Lanzhou.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.scitotenv.2018.09.382DOI Listing

Publication Analysis

Top Keywords

non-dust period
20
dust event
16
potential sources
12
pollution characteristics
8
dusty season
8
change trend
8
biomass burning
8
dust
7
sources
5
non-dust
5

Similar Publications