FLEMING, ZOE LOUISE
Preferred name
FLEMING, ZOE LOUISE
Main Affiliation
Email
zfleming@udd.cl
ORCID
0000-0001-5732-1479
Scopus Author ID
8581789300
21 results
Now showing 1 - 10 of 21
- Some of the metrics are blocked by yourconsent settings
Item type:Product, 2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Investigating the dispersion and transport of carbon monoxide in West Africa with a focus on biomass burning and gas flaring sources(Springer Science and Business Media LLC, 2025-06-17) ;Ajoke Onojeghuo; ;Marios Panagi ;Heiko BalzterPaul S. Monks6 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Impact of mining on the metal content of dust in indigenous villages of northern Chile(2022) ;Nicolás C. Zanetta-Colombo; ;Eugenia M. Gayo ;Carlos A. ManzanoMarios PanagiScopus© Citations 38 3 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Road Traffic Noise on the Santa Marta City Tourist Route(2021) ;Dámaris A. Jiménez-Uribe ;Darwin Daniels; Andrés M. Vélez-PereiraThe objective of this study was to determine the influence of vehicular traffic on the environmental noise levels of the Santa Marta City tourist route on the Colombian coast. An analysis of vehicle types and frequencies at various times of the day over nearly a year helped to track the main sources of environmental noise pollution. Five sampling points were selected, which were distributed over 12 km, with three classified as peripheral urban and two as suburban. The average traffic flow was 966 vehicles/h and was mainly composed of automobiles, with higher values in the peripheral urban area. The noise level was 103.3 dBA, with background and peak levels of 87.2 and 107.3 dBA, respectively. The noise level was higher during the day; however, there were no differences between weekdays and weekends. The results from the analysis of variance showed that the number of vehicles and the noise levels varied greatly according to the time of day and sampling point location. The peak and mean noise levels were correlated with the number of automobiles, buses and heavy vehicles. The mean noise levels were similar at all sample points despite the traffic flow varying, and the background noise was only correlated for automobiles (which varied much more than the heavy vehicles between day and night).Scopus© Citations 2 3 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, An interdisciplinary approach for air quality assessment: biomonitoring using Tillandsia bergeri and risk perceptions in the environmentally sacrificed province of Chacabuco, Chile(Springer Science and Business Media LLC, 2025-03-04) ;Eva Schreck ;Lucie Le Goff ;Aude Calas; Carme Bosch3Scopus© Citations 2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Long-term airborne particle pollution assessment in the city of Coyhaique, Patagonia, Chile(2022) ;Rafael Solís ;Richard Toro A. ;Luis Gomez ;Andrés M. Vélez-PereiraManuela LópezScopus© Citations 18 5 - Some of the metrics are blocked by yourconsent settings
Item type:Product, 2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, 12 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Blowin’ in the Wind: Mapping the Dispersion of Metal(loid)s From Atacama Mining(2024) ;Nicolás C. Zanetta‐Colombo ;Carlos A. Manzano ;Dagmar Brombierstäudl; Eugenia M. Gayo<jats:title>Abstract</jats:title><jats:p>The Atacama Desert’s naturally elevated metal(loid)s pose a unique challenge for assessing the environmental impact of mining, particularly for indigenous communities residing in these areas. This study investigates how copper mining influences the dispersion of these elements in the wind‐transportable fraction (<75 μm) of surface sediments across an 80 km radius. We employed a multi‐pronged approach, utilizing spatial modeling to map element distributions, exponential decay analysis to quantify concentration decline with distance, regime shift modeling to identify dispersion pattern variations, and pollution assessment to evaluate impact. Our results reveal significant mining‐driven increases in surface concentrations of copper (Cu), molybdenum (Mo), and arsenic (As). Notably, within the first 20 km, concentrations peaked at 1,016 mg kg⁻<jats:sup>1</jats:sup> for Cu, 31 mg kg⁻<jats:sup>1</jats:sup> for Mo, and a remarkable 165 mg kg⁻<jats:sup>1</jats:sup> for As. Cu and Mo displayed significant dispersion, extending up to 50 km from the source. However, As exhibited the most extensive reach, traveling up to 70 km downwind, highlighting the far‐reaching ecological footprint of mining operations. Mineralogical analyses corroborated these findings, identifying mining‐related minerals in surface sediments far beyond the immediate mining area. Although pollution indices based on the proposed Local Geochemical Background reveal significant contamination across the study area, establishing accurate pre‐industrial baseline values is essential for a more reliable assessment. This study challenges the concept of “natural pollution” by demonstrating that human activities exacerbate baseline metal(loid)s levels. Expanding monitoring protocols is imperative to comprehensively assess the combined effects of multiple emission sources, including mining and natural processes, in safeguarding environmental and human health for future generations.</jats:p>Scopus© Citations 1 2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, When another one bites the dust: Environmental impact of global copper demand on local communities in the Atacama mining hotspot as registered by tree rings(2024) ;Nicolás C. Zanetta-Colombo ;Tobias Scharnweber ;Duncan A. Christie ;Carlos A. ManzanoMario BlerschScopus© Citations 12 9
- «
- 1 (current)
- 2
- 3
- »