Prediction of the Granulometric Composition of the Silt Loading on Transport Arteries in the City of Bourgas Based on Artificial Neural Networks-Reference-Cited by-同舟云学术

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Prediction of the Granulometric Composition of the Silt Loading on Transport Arteries in the City of Bourgas Based on Artificial Neural Networks

Published:2023 Issue: Volume: Page:21-31
ISSN:2367-3370
Container-title:Recent Contributions to Bioinformatics and Biomedical Sciences and Engineering
language:
Short-container-title:

Author:

Ivanova Dimitrinka^ORCID,Tasheva Yordanka^ORCID,Sotirova Evdokia^ORCID,Dimitrov Aleksandar^ORCID,Sotirov Sotir^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-31069-0_3

Reference30 articles.

1. Zhang, Y., et al.: Fine particle-bound polycyclic aromatic hydrocarbons (PAHs) at an urban site of Wuhan, central China: characteristics, potential sources and cancer risks apportionment. Environ. Pollut. 246, 319–327 (2019)

2. Buckeridge, D.L., Glazier, R., Harvey, B.J., Escobar, M., Amrhein, C., Frank, J.: Effect of motor vehicle emissions on respiratory health in an urban area. Environ. Health Perspect. 110(3), 293–300 (2002)

3. Bhaskar, V.S., Sharma, M.: Assessment of fugitive road dust emissions in Kanpur, India. Transp. Res. Part D 13, 400–403 (2008)

4. Fan, Y., et al.: Acute short-term exposures to PM2.5 generated by vehicular emissions and cardiopulmonary effects in older adults. Epidemiology 17(6), S213–S214 (2006)

5. Fulper, C.R., et al.: Methods of characterizing the distribution of exhaust emissions from light-duty, gasoline-powered motor vehicles in the U.S. fleet. J. Air Waste Manag. Assoc. 60, 1376–1387 (2010)

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