本文關(guān)鍵詞： 港口船舶排放清單 自下而上 排放因子 AIS 水運(yùn)周轉(zhuǎn)量　出處：《大連海事大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：大連港口海運(yùn)業(yè)務(wù)繁忙,進(jìn)出港口的船舶數(shù)量眾多。海運(yùn)業(yè)務(wù)為城市帶來經(jīng)濟(jì)效益的同時(shí),也為當(dāng)?shù)氐目諝鈳砹宋廴疚镔|(zhì)和溫室氣體。為了保障人們生活的大氣環(huán)境,急需國(guó)內(nèi)對(duì)船舶排放做更加深入的研究,同時(shí)應(yīng)該向發(fā)達(dá)國(guó)家學(xué)習(xí)海運(yùn)排放的治理辦法。只有了解了船舶的排放數(shù)量和特征,才能提供更加科學(xué)的決策依據(jù)和有效的治理措施。本文測(cè)算了大連港口船舶NOx、CO、HC、CO2、SO2和PM的排放量,分別為8527t、721t、331t、822651t、9122t和1165t。通過對(duì)排放清單結(jié)果的分析,得到了船舶排放量的分配特征。本文選擇"自下而上"的辦法,通過研究船舶活動(dòng)過程來確定排放清單,進(jìn)而得到大連港口船舶排放排放量和排放特征。對(duì)所選區(qū)域建立了計(jì)算模型,并按照船舶活動(dòng)過程劃分為巡航、減速、機(jī)動(dòng)操作和停泊四個(gè)階段,各階段的距離長(zhǎng)度和船舶活動(dòng)時(shí)間通過AIS(Automatic Identification System)統(tǒng)計(jì)獲取。對(duì)計(jì)算模型參數(shù)中的主機(jī)標(biāo)定功率和船舶的設(shè)計(jì)航速進(jìn)行了本地化的研究,主要擬合了選取樣本中主機(jī)標(biāo)定功率和船舶設(shè)計(jì)航速分別與船舶總噸的關(guān)系。計(jì)算模型參數(shù)中的排放因子也是選取了本地化的基于臺(tái)架試驗(yàn)的研究數(shù)值,船舶主機(jī)和副機(jī)在不同運(yùn)行工況下排放因子以變化的數(shù)值輸入到計(jì)算模型當(dāng)中的。本文對(duì)副機(jī)標(biāo)定功率的選取是來源于其它文獻(xiàn)的研究,主要通過副機(jī)與主機(jī)的比值計(jì)算。鍋爐標(biāo)定功率的選取來源于美國(guó)洛杉磯港口編制船舶排放清單時(shí)的數(shù)據(jù)。本文結(jié)合AIS系統(tǒng)的統(tǒng)計(jì)數(shù)據(jù),總結(jié)了船舶的活動(dòng)過程,基于"自下而上"的方法,建立了大連港口船舶排放的計(jì)算模型,并結(jié)合海事部門對(duì)大連港口一年進(jìn)出港船舶數(shù)量的統(tǒng)計(jì),測(cè)算了大連港口的船舶排放清單。對(duì)清單研究結(jié)果進(jìn)行了特征分析�；谒\(yùn)周轉(zhuǎn)量,測(cè)算及預(yù)測(cè)了大連水運(yùn)氣體排放量。
[Abstract]:Dalian port shipping business is busy, the number of ships in and out of the port is numerous. Shipping business brings economic benefits to the city at the same time. It also brings pollution and greenhouse gases to the local air. In order to protect the atmospheric environment of people living, it is urgent to do more in-depth research on the emission of ships in China. At the same time, the developed countries should learn from the management of marine emissions. Only understand the quantity and characteristics of the ship's emissions. In order to provide more scientific decision basis and effective control measures, this paper calculates the emission of so _ 2 and PM of no _ x CO _ (2) CO _ (2) CO _ (2) CO _ (2) CO _ (2) and PM (8527 t), respectively. 721t ~ 331t ~ (331t) ~ 822651t ~ 9122 t and 1165 t ~ (-1). The results of emission inventory were analyzed. In this paper, we choose the bottom-up approach to determine the emission inventory by studying the process of ship activity. Then the emission and emission characteristics of Dalian port ship are obtained. A calculation model is established for the selected area, which is divided into four stages: cruise, deceleration, motorized operation and berthing according to the process of ship activity. Distance length of each stage and time of ship's movement through AIS(Automatic Identification system). The calibration power of the main engine and the design speed of the ship are studied in this paper. The relationship between the calibrated power of the main engine and the ship design speed and the total tonnage of the ship in the selected sample is mainly fitted. The emission factors in the calculation model parameters are also selected to localize the research values based on the bench test. The emission factors of the main engine and the auxiliary engine under different operating conditions are input into the calculation model by varying numerical values. In this paper, the selection of the auxiliary calibration power is derived from other literature research. The selection of boiler calibration power comes from the data of the port of Los Angeles in the United States when compiling the ship emission inventory. This paper combines the statistical data of AIS system. Based on the bottom-up method, the ship emission calculation model of Dalian port is established, and the statistics of the number of ships entering and leaving Dalian port every year are given by the maritime department. The ship emission inventory of Dalian port is calculated and the characteristics of the inventory research results are analyzed. Based on the water transportation turnover the discharge of Dalian water transportation gas is calculated and forecasted.
【學(xué)位授予單位】：大連海事大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：X736

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 邢輝;段樹林;黃連忠;韓志濤;劉勤安;;基于臺(tái)架測(cè)試的我國(guó)船用柴油機(jī)廢氣排放因子[J];環(huán)境科學(xué);2016年10期

2 邢輝;段樹林;黃連忠;劉勤安;;中國(guó)水路運(yùn)輸業(yè)能源消耗與廢氣排放測(cè)算[J];中國(guó)環(huán)境科學(xué);2016年06期

3 王征;張衛(wèi);耿雄飛;彭傳圣;秦翠紅;;典型航線船舶排放清單及排放特征研究[J];交通節(jié)能與環(huán)保;2015年05期

4 譚建偉;宋亞楠;葛蘊(yùn)珊;李加強(qiáng);李蘭;;大連海域遠(yuǎn)洋船舶排放清單[J];環(huán)境科學(xué)研究;2014年12期

5 尹航;丁焰;葛蘊(yùn)珊;葉文韜;王軍方;白濤;錢立運(yùn);;內(nèi)河船舶柴油機(jī)的實(shí)際排放特征[J];環(huán)境科學(xué)研究;2014年05期

6 葉斯琪;鄭君瑜;潘月云;王水勝;盧清;鐘流舉;;廣東省船舶排放源清單及時(shí)空分布特征研究[J];環(huán)境科學(xué)學(xué)報(bào);2014年03期

7 林楚彬;趙黛青;蔡國(guó)田;劉啟漢;吳家穎;;廣東貨船水運(yùn)的溫室氣體排放和低碳發(fā)展對(duì)策[J];環(huán)境科學(xué)研究;2013年12期

8 伏晴艷;沈寅;張健;;上海港船舶大氣污染物排放清單研究[J];安全與環(huán)境學(xué)報(bào);2012年05期

9 周玲玲;顧阿倫;葉薇倩;劉濱;;中國(guó)未來國(guó)際海運(yùn)CO_2排放量預(yù)測(cè)[J];清華大學(xué)學(xué)報(bào)(自然科學(xué)版);2012年08期

10 劉靜;王靜;宋傳真;秦娟娟;;青島市港口船舶大氣污染排放清單的建立及應(yīng)用[J];中國(guó)環(huán)境監(jiān)測(cè);2011年03期

相關(guān)博士學(xué)位論文 前2條

1 劉杰;北京大氣污染物時(shí)空變化規(guī)律及評(píng)價(jià)預(yù)測(cè)模型研究[D];北京科技大學(xué);2015年

2 劉暢;船舶自動(dòng)識(shí)別系統(tǒng)（AIS）關(guān)鍵技術(shù)研究[D];大連海事大學(xué);2013年

相關(guān)碩士學(xué)位論文 前1條

1 馬楓;內(nèi)河AIS船臺(tái)設(shè)備的開發(fā)與應(yīng)用研究[D];武漢理工大學(xué);2010年

，

本文編號(hào)：1445682