Research On CO₂ Emission Measurement And Emission Reduction Strategy Of Ships In Inland Ports

In recent years,with the increase of global industrial and human activities,greenhouse gas emissions have increased sharply.In response to global climate change,China has put forward the vision of carbon peaking and carbon neutrality goals,and is committed to taking strong actions to achieve the country’s independent contribution to carbon emission reduction.Transportation is an important carbon emission sector,and carbon emission control in the transportation field has always been a worldwide problem.Inland waterway shipping is an important part of the comprehensive transportation system.The rapid development of inland waterway shipping has led to the increase of ship carbon emission year by year.The contradiction between the development of inland waterway ports and greenhouse gas control has become increasingly prominent.To achieve the goal of carbon peaking and carbon neutrality,there is an urgent need to study accurate measurement methods in the field of inland waterway shipping and explore the technical path to achieve deep emission reduction in inland river ports,so as to promote the green,low-carbon and efficient development of ports.This paper studies the carbon emission measurement and emission reduction strategy of ships in inland river ports,and proposes a method for measuring and distributing carbon emissions from ships in inland river ports considering external environmental factors.On the basis of obtaining the measurement results and emission distribution of ship carbon emissions in inland river ports,a forecasting method of port ship transportation carbon emissions based on scenario-based emission reduction strategies is constructed.The main research work of this paper includes:（1）In order to realize the accurate accounting of the carbon emissions of ships in inland water transportation,a method for measuring the carbon emissions of ships in inland river ports based on ship activities was proposed.Firstly,according to the characteristics of inland river ships,a model framework for measuring CO₂ emissions from ships under different active states is built.Then,according to the AIS data and the characteristics of the ship’s behavior,the identification methods of the three active states of the ship in navigation,at anchor and at the dock are constructed,so as to distinguish the ship’s behavior and improve the accounting accuracy.Finally,a quantitative model of the influence of wind and current on ship speed is proposed,so as to optimize the load factor of the model and improve the accuracy of the measurement method.（2）In order to obtain the distribution and hotspots of CO₂ emissions generated by ship traffic in the port area,a method for identifying the spatiotemporal distribution characteristics of ships’carbon emissions and extracting hotspots is proposed.Firstly,based on the data field theory,a method for identifying the spatiotemporal distribution characteristics of carbon emissions and extracting hot spots is constructed,and the spatiotemporal distribution of ship emissions in ports is obtained according to the carbon potential value.Secondly,based on the Moran’s I,a spatiotemporal autocorrelation analysis method of ship carbon emissions is proposed to judge the aggregation of carbon emissions,and further verify the accuracy of the distribution of emission hotspots.Finally,taking Wuhan Port as an example to verify,the carbon emission measurement results and hotspot distribution of Wuhan Port were obtained,and the stability and aggregation of its emissions were explored.（3）In order to explore the technical emission reduction path of inland river ports,a carbon emission prediction method based on complex scenario emission reduction strategy was proposed.Firstly,according to the port carbon emission measurement results and the distribution of hot spots,the port carbon emission can be reduced and analyzed,and based on the analysis results,a benchmark strategy and a reduction strategy based on complex scenarios are designed and constructed.Secondly,a carbon emission prediction model framework is constructed,based on the GA-BP algorithm and the ARIMA model to predict the future emission-related factors and port traffic volume of port ships,and quantify and decompose various emission reduction measures involved in the emission reduction strategy.Finally,Wuhan Port is selected for verification,and based on the forecast results,the basic technical direction and medium-and long-term carbon reduction strategy recommendations that should be followed by the greenhouse gas emission reduction path of inland river ports are proposed.The research work in this paper can realize the accurate measurement of carbon emissions of port ship traffic according to the environmental characteristics of inland river ports,and provide new ideas for the research on low-carbon development and carbon emission control of ports.The research results of this paper provide data reference and theoretical basis for Carbon Monitoring and carbon emission reduction policy formulation of inland port water traffic,and help to achieve the goal of greenhouse gas emission reduction for inland port area shipping traffic.