Abstract
 Geospatial Modeling of Ship Traffic and Air Emissions Track: Transportation Author(s): Chengfeng Wang, John Callahan, James Corbett We present the Ship Traffic, Energy and Environment Model (STEEM) to predict the routes of inter-port ship movements, estimate ship energy use and air emissions, and to produce gridded ship emissions inventory. We built an empirical global waterway dataset with ~10,000 segments based on the network structure derived from 20-year historical locations of ships. Applying ArcGIS Network Analyst, we solved ~21,000 routes (unique pairs of ~1,800 world ports) on the global network for ~170,000 trips in North America in 2002. Based on the length of segments, ship attributes, emissions estimation algorithm, and relationship between individual ships, trips, routes, and segments of the network, we calculated number of trips, amount of air emissions from individual segments, and produced the gridded ship emissions inventory. We also present the ongoing work on refining the network for the San Francisco Bay area using ship Automatic Identification System (AIS) data and the future work to develop a comprehensive GIS-based ship emissions inventory model for the State of California. Chengfeng Wang California Air Resources Board Planning & Technical Support Division 1001 I Street Sacramento , CA 95812 US Phone: (916)322-1719 Fax: (916) 327-8524 E-mail: cwang@arb.ca.gov John Callahan University of Delaware Research & Data Management Services Research & Data Management Services University of Delaware, Smith Hall Newark , DE 19716 US Phone: 302 831 1978 E-mail: diodata@udel.Edu James Corbett University of Delaware College of Marine and Earth Studies University of Delaware Robinson Hall Newark , DE 19716 US Phone: 302 831 0768 E-mail: jcorbett@udel.edu |
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