A port statistics-based generic ballast water estimation and risk assessment approach and its application to Chinese ports

被引:2
作者
Chen, Dong [1 ]
Bai, Xiwen [2 ]
Wang, Zhaojun [3 ,4 ]
Yang, Dong [1 ,5 ]
机构
[1] Hong Kong Polytech Univ, Dept Logist & Maritime Studies, Hong Kong, Peoples R China
[2] Tsinghua Univ, Dept Ind Engn, Beijing 100084, Peoples R China
[3] Univ Delaware, 305 Robinson Hall, Newark, DE 19716 USA
[4] Smithsonian Environm Res Ctr, 647 Contees Wharf Rd, Edgewater, MD 21037 USA
[5] Hong Kong Polytech Univ, Shipping Res Ctr, Hong Kong, Peoples R China
关键词
Ballast water estimation; Risk assessment; Port statistic; Lasso regression; Chinese port; INVASIONS; TRANSPORT;
D O I
10.1016/j.marpolbul.2023.115068
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Ballast Water Management Convention now enters the experience-building stage, but developing countries have no adequate ballast water information yet. Against this background, considering the richness and generality of common port statistics, we develop a new generic approach to estimate discharge volumes and assess asso-ciated risks. This is one of the few efficient and feasible ways for port authorities to manage real discharged ballast water. Discharge volumes during 2017-2020 and risks in 2017 are analyzed for bulker and tanker. Results show that: (1) Ports in Yangtze River Delta and Bohai Rim received most ballast water, especially Ningbo-Zhoushan port as high-risk region receiving about 65 million tons per year; (2) With a higher ratio of discharge volumes to cargo throughputs, the tanker tends to release more ballast water than the bulker; (3) Chinese ports suffer more than 0.9 of the probability of non-indigenous species introduction. All these findings help implement convention globally.
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页数:11
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