Výsledky vyhledávání

Akademický článek

A Data-Driven Approach to Identify Major Air Pollutants in Shanghai Port Area and Their Contributing Factors

Autor: Xing-Zhou Li, Zhong-Ren Peng, Qingyan Fu, Qian Wang, Jun Pan, Hongdi He

Publikováno v: Journal of Marine Science and Engineering, Vol 12, Iss 2, p 288 (2024)

Air pollution is a growing concern in metropolitan areas worldwide, and Shanghai, as one of the world’s busiest ports, faces significant challenges in local air pollution control. Assessing the contribution of a specific port to air pollution is es

Externí odkaz: https://doaj.org/article/a73be5e8a6ca4864a82a663a58ca5dd0

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Akademický článek

Quantification of Gaseous and Particulate Emission Factors from a Cargo Ship on the Huangpu River

Autor: Hanyu Wang, Qingyao Hu, Cheng Huang, Kaifa Lu, Hongdi He, Zhonren Peng

Publikováno v: Journal of Marine Science and Engineering, Vol 11, Iss 8, p 1580 (2023)

Exhaust emissions from ships have garnered significant attention because of their impact on global climate change, deterioration of air quality, and potential risks to human health. Consequently, it is necessary and urgent to quantify the gaseous and

Externí odkaz: https://doaj.org/article/4704d508cedc4568a36035651bba9b83

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Report

Smart City Data Analysis via Visualization of Correlated Attribute Patterns

Autor: Sasaki, Yuya, Hori, Keizo, Nishihara, Daiki, Ohashi, Sora, Wakuta, Yusuke, Harada, Kei, Onizuka, Makoto, Arase, Yuki, Shimojo, Shinji, Doi, Kenji, Hongdi, He, Peng, Zhong-Ren

Publikováno v: EDBT 2021

Urban conditions are monitored by a wide variety of sensors that measure several attributes, such as temperature and traffic volume. The correlations of sensors help to analyze and understand the urban conditions accurately. The correlated attribute

Externí odkaz: http://arxiv.org/abs/2104.06701