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Shitao Peng

affiliation not provided to SSRN

SCHOLARLY PAPERS

4

DOWNLOADS

150

TOTAL CITATIONS

0

Scholarly Papers (4)

1.

Predicting Dust Pollution from Dry Bulk Ports in Coastal Cities: A Hybrid Approach Based on Data Decomposition and Deep Learning

Number of pages: 36 Posted: 16 Nov 2023
Dalian University of Technology, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 74 (860,052)

Abstract:

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Dry bulk port, Dust pollution, Time series prediction, Data decomposition, deep learning

2.

Intelligent Detection and Emission Characteristics Analysis of Black Smoke and Blackness from Navigating Ships: A Case Study of Shanghai Waters

Number of pages: 45 Posted: 29 May 2024
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 34 (1,277,121)

Abstract:

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Ship black smoke, Ringelmann smoke chart, black smoke tracking, black smoke detection, Emission characterization

3.

Surveillance of So2 from Ship Emissions and Compliance with Sulfur Content Regulations by Sailing Ships in the Yangtze River Estuary

Number of pages: 18 Posted: 14 May 2025
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 21 (1,448,301)

Abstract:

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Ship emissions, Sulfur content regulations, Sniffing telemetry, FSC, Spatiotemporal variations, ECA

4.

A Study on Remote Sensing Monitoring of Nox Emissions from Inland Vessels

Number of pages: 40 Posted: 21 Jun 2024
Mengtao Deng, Shitao Peng, Jianbo Hu and Zhaoyu Qi
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 21 (1,436,435)

Abstract:

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TDLAS, Inland vessel, NOx, Detection rate