海區(qū)船舶廢氣排放評估方法研究
發(fā)布時(shí)間:2018-09-19 17:44
【摘要】:隨著全球經(jīng)濟(jì)的發(fā)展,營運(yùn)船舶的數(shù)量不斷增加,船舶廢氣污染物排放的問題也日益加重,歐美許多國家沿海區(qū)域都劃分出污染物排放控制區(qū),以控制海域內(nèi)污染物排放。在我國航運(yùn)業(yè)飛速發(fā)展的背景下,對船舶污染物排放進(jìn)行評估的工作變得越來越重要,針對污染物排放評估的研究和探討也隨之深入化。對船舶廢氣污染物排放進(jìn)行評估和分析能夠使得船舶對環(huán)境造成的污染有更加直觀的體現(xiàn),對實(shí)現(xiàn)廢氣減排有很重要的意義。本文針對船舶廢氣污染物排放評估方法,探討了影響船舶廢氣污染物排放的主要因素,采用勞氏船級社通過1995年勞式工程服務(wù)中心多方面燃油分析推導(dǎo)出來的排放系數(shù),根據(jù)不同船舶工況下的排放系數(shù)來計(jì)算船舶的廢氣排放量。建立了船舶主機(jī)功率估算模型,通過查詢網(wǎng)格數(shù)據(jù)庫中船舶參數(shù)計(jì)算船舶航行時(shí)所受阻力,根據(jù)螺旋槳推進(jìn)系數(shù)估算船舶主機(jī)有效功率,并對模型進(jìn)行實(shí)例計(jì)算驗(yàn)證。建立基于Arc GIS的污染物排放評估模型。利用單元網(wǎng)格內(nèi)船舶參數(shù)和船舶航次信息,計(jì)算出特定某一時(shí)段船舶的廢氣排放量,結(jié)合特定海域內(nèi)網(wǎng)格劃分信息以及交通流體現(xiàn)的船舶位置信息,計(jì)算海域內(nèi)按網(wǎng)格劃分的不同區(qū)域排放總量。采用Microsoft Visual Studio2010作為開發(fā)環(huán)境,開發(fā)語言為C#設(shè)計(jì)污染物排放計(jì)算模型。將污染物排放計(jì)算模型結(jié)合Arc GIS可視化功能,實(shí)現(xiàn)基于交通流船舶排放量平面可視化顯示。本文以臺(tái)灣海峽西部海域的船舶信息和網(wǎng)格劃分信息進(jìn)行調(diào)試,實(shí)現(xiàn)該海域內(nèi)NOX排放量的可視化顯示。
[Abstract]:With the development of the global economy, the number of ships in operation is increasing, and the emission of pollutants from ships is becoming more and more serious. Many coastal areas in Europe and America have been divided into pollutant emission control areas to control the emission of pollutants in the sea area. With the rapid development of shipping industry in China, the assessment of marine pollutant emissions becomes more and more important, and the research and discussion of pollutant emission assessment become more and more in-depth. The assessment and analysis of ship exhaust pollutant emission can make the pollution caused by ship to the environment more intuitionistic, and it is of great significance to realize the emission reduction of exhaust gas. In this paper, the main factors affecting the emission of ship exhaust pollutants are discussed, and the emission coefficients derived by the Lloyd's Classification Society through the analysis of various aspects of fuel oil in the service center of the laborer engineering in 1995 are discussed in the light of the emission assessment method of ship exhaust gas pollutants. The exhaust emissions of ships are calculated according to the emission coefficient of different ship working conditions. The ship mainframe power estimation model is established. The ship resistance is calculated by querying the ship parameters in the grid database, and the effective power of the ship mainframe is estimated according to the propeller propulsion coefficient, and the model is verified by an example. The pollutant emission assessment model based on Arc GIS is established. Using the ship parameters and ship voyage information in the cell grid, the exhaust gas emissions of the ship at a certain period of time are calculated, combined with the information of grid division in the specific sea area and the position information of the ship reflected by the traffic flow. To calculate the total amount of discharge in different areas divided by grid in the sea area. Microsoft Visual Studio2010 is used as the development environment, and C # is used to design the pollutant emission calculation model. The pollutant emission calculation model is combined with the visualization function of Arc GIS to realize the visualization of ship emission based on traffic flow. In this paper, the ship information and grid information of the western Taiwan Strait are used to realize the visualization of NOX emissions in the sea area.
【學(xué)位授予單位】:集美大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2015
【分類號(hào)】:X736.3
本文編號(hào):2250862
[Abstract]:With the development of the global economy, the number of ships in operation is increasing, and the emission of pollutants from ships is becoming more and more serious. Many coastal areas in Europe and America have been divided into pollutant emission control areas to control the emission of pollutants in the sea area. With the rapid development of shipping industry in China, the assessment of marine pollutant emissions becomes more and more important, and the research and discussion of pollutant emission assessment become more and more in-depth. The assessment and analysis of ship exhaust pollutant emission can make the pollution caused by ship to the environment more intuitionistic, and it is of great significance to realize the emission reduction of exhaust gas. In this paper, the main factors affecting the emission of ship exhaust pollutants are discussed, and the emission coefficients derived by the Lloyd's Classification Society through the analysis of various aspects of fuel oil in the service center of the laborer engineering in 1995 are discussed in the light of the emission assessment method of ship exhaust gas pollutants. The exhaust emissions of ships are calculated according to the emission coefficient of different ship working conditions. The ship mainframe power estimation model is established. The ship resistance is calculated by querying the ship parameters in the grid database, and the effective power of the ship mainframe is estimated according to the propeller propulsion coefficient, and the model is verified by an example. The pollutant emission assessment model based on Arc GIS is established. Using the ship parameters and ship voyage information in the cell grid, the exhaust gas emissions of the ship at a certain period of time are calculated, combined with the information of grid division in the specific sea area and the position information of the ship reflected by the traffic flow. To calculate the total amount of discharge in different areas divided by grid in the sea area. Microsoft Visual Studio2010 is used as the development environment, and C # is used to design the pollutant emission calculation model. The pollutant emission calculation model is combined with the visualization function of Arc GIS to realize the visualization of ship emission based on traffic flow. In this paper, the ship information and grid information of the western Taiwan Strait are used to realize the visualization of NOX emissions in the sea area.
【學(xué)位授予單位】:集美大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2015
【分類號(hào)】:X736.3
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,本文編號(hào):2250862
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