|
Title
|
|
|
|
A multi-proxy magnetic approach for monitoring large-scale airborne pollution impact
| |
|
Author
|
|
|
|
| |
|
Abstract
|
|
|
|
| The interpretive utility of environmental magnetic proxies for investigating airborne particulate matter (PM) pollution impact is restricted by differences in soil composition, land cover and land use. For soil magnetic applications, land use strongly influences magnetic particle distribution down the soil profile, even in homogeneous soil environments. Here, an adaptive approach is engineered to provide accurate magnetic proxy information for pollution monitoring across different land use types. In an 81-km(2) area between two industrial harbours, the irregular distribution of forests, arable lands, pasture and residential areas prevented robustly relating topsoil magnetic susceptibility data to known pollution impacts. Although normalized topsoil susceptibility values showed improved potential for deriving airborne pollution impacts, optimal results were obtained by depth-integrating magnetic susceptibility logs, revealing long-term impacts of both active and decommissioned industrial facilities. Complementing soil magnetic observations, active and passive (bio)magnetic monitoring allowed discriminating short-term pollution patterns and evaluating changes in PM impact across the study area. Hereby, active PM receptors (strawberry leaves and plastic coated cardboards (PCCs)) provided promising results, yet passive receptors allowed estimating pollution impacts more efficiently. For the latter, species-independent grass leaf sampling reflected airborne PM depositional patterns most accurately, whereas wiped anthropogenic surfaces proved too sensitive to wash-off. (C) 2020 Elsevier B.V. All rights reserved. |
| |
|
Language
|
|
|
|
English
| |
|
Source (journal)
|
|
|
|
The science of the total environment. - Amsterdam, 1972, currens
| |
|
Publication
|
|
|
|
Amsterdam
:
2020
| |
|
ISSN
|
|
|
|
0048-9697
[print]
1879-1026
[online]
| |
|
DOI
|
|
|
|
10.1016/J.SCITOTENV.2020.140718
| |
|
Volume/pages
|
|
|
|
743
(2020)
, 8 p.
| |
|
Article Reference
|
|
|
|
140718
| |
|
ISI
|
|
|
|
000573544500017
| |
|
Pubmed ID
|
|
|
|
32758833
| |
|
Medium
|
|
|
|
E-only publicatie
| |
|
Full text (Publisher's DOI)
|
|
|
|
| |
|
Full text (publisher's version - intranet only)
|
|
|
|
| |
|