Characterization of pathogen distribution and pathogenicity from landfill site DOI
Dongsheng Shen,

Xinxin Wu,

Hui Cai

et al.

Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 484, P. 136736 - 136736

Published: Nov. 30, 2024

Language: Английский

Invisible threats: urgent need to monitor bioaerosols and antimicrobial resistance at landfill sites DOI

Pooja Kamdi,

Amit Bafana,

Saravanadevi Sivanesan

et al.

Aerobiologia, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 13, 2025

Language: Английский

Citations

0
A Novel Algorithm for Estimating the Sand Dune Density of the Taklimakan Desert Based on Remote Sensing Data DOI Creative Commons
Mingyu Wang, Yongqiang Liu, Huoqing Li

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(2), P. 297 - 297

Published: Jan. 16, 2025

The dune density is an important parameter for representing the characteristics of desert geomorphology, providing a precise depiction undulating topography desert. Owing to limitations estimation methods and data availability, accurately quantifying has posed significant challenge; in response this issue, we propose innovative model estimate using vertex search combined with four-directional orographic spectral decomposition. This study reveals several key insights: (1) Taklimakan Desert distributes approximately 5.31 × 107 dunes, linear regression fit R2 0.79 between estimated observed values. average absolute error root mean square are calculated as 25.61 n/km2 30.48 n/km2, respectively. (2) distribution across eastern, northeastern, southern, western parts relatively lower, while there higher central northern areas. (3) observation constructed improved YOLOv8s algorithm remote sensing imagery effectively validate results density. new demonstrates high level accuracy estimating sand density, thereby crucial parameters sub-grid parameterization regions. Additionally, its application potential dust modeling appears promising.

Language: Английский

Citations

0
Recent Advances in the Design and Biocidal Mechanisms of Room-temperature Catalytic Nanomaterials for Efficient Inactivation of Bioaerosols DOI
Wenhui Cheng, Zhenyu Wang, Shiqi Peng

et al.

Surfaces and Interfaces, Journal Year: 2025, Volume and Issue: unknown, P. 106449 - 106449

Published: April 1, 2025

Language: Английский

Citations

0
Evaluation of size–segregated bioaerosols concentration, deposition fraction and inhalation dose in individuals of an educational institute: a case study for health risk assessment DOI
Ghosh Chirashree, K. S. Bisht, Ankita Shelly

et al.

Air Quality Atmosphere & Health, Journal Year: 2024, Volume and Issue: 17(11), P. 2693 - 2709

Published: June 26, 2024

Language: Английский

Citations

3
Specific Sources Exert Influence on the Community Structures of Bioaerosols DOI Open Access
Changliang Nie,

Yuqi Qiu,

Tianxiao Pei

et al.

Aerobiology, Journal Year: 2024, Volume and Issue: 2(4), P. 72 - 84

Published: Sept. 24, 2024

Bioaerosols constitute a crucial component of atmospheric particulate matter, encompassing physical and chemical aerosol properties along with biological characteristics. They can influence global ecosystems, climate change dynamics, air quality. Notably, bioaerosols serve as significant pathway for transmitting respiratory infectious diseases, garnering widespread attention worldwide following major pandemics such COVID-19. Thanks to the development high-throughput sequencing technologies, studies on have flourished in recent years. Understanding interconnectedness sources, spatial temporal distributions, influencing factors, health risks associated is imperative devising pollution mitigation strategies preventing spread related epidemics. This review provides an overview bioaerosol sources while elucidating distribution patterns within their community structure across various source types. Lastly, this offers insights into future advancements field corresponding recommendations.

Language: Английский

Citations

3
Seasonal and Spatial Variations in Concentration, Diversity, and Antibiotic Resistance of Ambient Bioaerosols in an Arid Region DOI Creative Commons

Bilal Sajjad,

Azhar Siddique, Kashif Rasool

et al.

Environmental Research, Journal Year: 2024, Volume and Issue: 262, P. 119879 - 119879

Published: Sept. 6, 2024

Language: Английский

Citations

1
Concentration, pathogenic composition, and exposure risks of bioaerosol in large indoor public environments: A comparative study of urban and suburban areas DOI
Jiasheng Ni, Simin Huang, Zhishu Liang

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 957, P. 177790 - 177790

Published: Nov. 29, 2024

Language: Английский

Citations

0
Characterization of pathogen distribution and pathogenicity from landfill site DOI
Dongsheng Shen,

Xinxin Wu,

Hui Cai

et al.

Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 484, P. 136736 - 136736

Published: Nov. 30, 2024

Language: Английский

Citations

0