Emission Inventory For Ships In Inland Waterway Network Of North Zhejiang Province

The waterborne transport is an economic,safe and environmental friendly mode of transport and deeply contributes to the world economy and modern societies.But at the same time,vessels are also emitting pollutant and greenhouse gases,which is harmful for environment and human being.The research area,waterway network channel,is located in Huzhou City,North Zhejiang Province.Due to the short distance from residential area,the influence of emission from inland shipping cannot be ignored.Developing an emission inventory can be helpful for evaluating the energy condition of inland shipping,identifying the source of pollutant and calculating the energy efficiency index.Meanwhile,it can provide reference for waterborne traffic organization,energy conservation and emission reduction.Currently,ship emission study in China is just in the beginning,most of them focus on port area,and few attention is directed in the fields of inland shipping.As a case study,a city-wide inland waterway network in the North region of Zhejiang Province,China,is demonstrated.Due to defective quantity and quality of vessel navigation recording data in inland shipping,the traffic flow is simulated via SIVAK software.In the simulation,by shutting down one route or controlling the traffic lane number in the waterway,four kinds of traffic control scenarios are applied.Based on the simulated traffic flow data,by the power-based bottom up approach,emission inventory for the waterway network per week is developed for four kinds of scenarios.In 2011,the shipping emission of SO₂,NO_x,PM₁₀,PM_2.5,HC、CO and CO₂ in inland waterway network for one month respectively are 1550kg,7454kg,246kg,238kg,201kg,1163kg and 509101kg.In other three traffic scenarios,the total emission are expected to change by-6.06%,-23.56%and+14.88%.Meanwhile,besides analysis of ship class and waterway section emission share rate,CO₂ efficiency index and EEOI（Energy Efficiency Operational Indicator）are introduced in every waterway section.In addition,the results are compared to definitive study to validate the emission estimation.And validation shows they are in good match.Based on traffic characteristics and emission features of each waterway section,after correlation coefficient calculation,three pairs of variables are chosen for regressing analyze.Parameter test is performed and the regressions provide initial reference for fast emission prediction based on traffic condition.Lastly,based on traffic efficiency,total emission,energy consumption and emission efficiency,four traffic scenarios are compared.The result shows that in C2 traffic scenario,traffic and energy efficiency are much better than N0 scenario,reducing43%passing time,saving 23%fuel consumption,and improving 26%operational energy efficiency.Conclusions and analysis suggest that appropriate traffic control and assignment will greatly improve traffic and energy efficiency,reducing total emission in designated area.It will be helpful for supporting administration to make policy and take measures for energy saving and emission reduction.