發(fā)布時間：2018-07-29 06:45

【摘要】：近年來,我國許多省份霧霾天氣頻發(fā),導(dǎo)致的健康危害引起社會廣泛關(guān)注,但是作為空氣質(zhì)量主要影響因素之重金屬污染,尚未全面開展重金屬污染物監(jiān)測項(xiàng)目,也未建立大氣重金屬質(zhì)量控制發(fā)布系統(tǒng)。在這樣的環(huán)境污染狀況和應(yīng)用需求下,本文在Visual Studio 2008+MFC環(huán)境下設(shè)計(jì)了大氣重金屬污染實(shí)時評價顯示系統(tǒng)。系統(tǒng)采用C/S體系結(jié)構(gòu),以SQL Server 2005為系統(tǒng)后臺數(shù)據(jù)庫,用于存儲和管理系統(tǒng)信息,對重金屬監(jiān)測信息綜合應(yīng)用單因子污染指數(shù)法和潛在生態(tài)危害指數(shù)法進(jìn)行生態(tài)環(huán)境污染評估與分級,為系統(tǒng)數(shù)據(jù)匯總、統(tǒng)計(jì)及顯示做好數(shù)據(jù)預(yù)處理工作。首先,采用ADO技術(shù)訪問數(shù)據(jù)庫,實(shí)現(xiàn)系統(tǒng)與數(shù)據(jù)庫信息交互；接著,以Google Earth和百度地圖為開發(fā)平臺,實(shí)現(xiàn)重金屬監(jiān)測信息與基礎(chǔ)地理信息的集成,實(shí)時更新KML文件節(jié)點(diǎn)信息,查詢站點(diǎn)彈出氣泡框顯示污染濃度值與污染等級,等值線和污染分布圖評估查詢地區(qū)整體污染狀況；然后,完成曲線圖、柱狀圖展示實(shí)時、24h及周污染數(shù)據(jù)變化規(guī)律、并提供判別污染源位置、實(shí)時播報(bào)、污染超過臨界值報(bào)警等功能,使得系統(tǒng)全面形象的發(fā)布重金屬監(jiān)測結(jié)果；最后,對系統(tǒng)進(jìn)行了環(huán)境與功能測試,保障系統(tǒng)安全可靠地運(yùn)行。針對實(shí)時重金屬數(shù)據(jù)存在監(jiān)測值缺失或錯誤的現(xiàn)象,本文在研究現(xiàn)有的空間插值法基礎(chǔ)上,提出插值精度更高且適合于大氣污染物插補(bǔ)的RBF神經(jīng)網(wǎng)絡(luò)空間插值法,取得了良好的效果,為環(huán)保業(yè)務(wù)人員提供了有效的數(shù)據(jù)處理方法,同時為建立連續(xù)重金屬數(shù)據(jù)集奠定了基礎(chǔ)。
[Abstract]:In recent years, the frequent occurrence of haze weather in many provinces of China has caused widespread concern about the health hazards. However, heavy metal pollution, which is the main influencing factor of air quality, has not been carried out in an all-round way. Nor has a release system for heavy metal quality control in the atmosphere been established. Under the circumstance of environmental pollution and application requirement, a real-time evaluation and display system of atmospheric heavy metal pollution is designed in Visual Studio 2008 MFC environment. The system uses C / S architecture and SQL Server 2005 as background database to store and manage system information. The single factor pollution index method and the potential ecological hazard index method were used to evaluate and classify the heavy metal monitoring information for the system data collection, statistics and display to do a good job of data preprocessing. Firstly, the database is accessed by ADO technology to realize the interaction between the system and the database information, and then, the integration of heavy metal monitoring information and basic geographic information is realized on the platform of Google Earth and Baidu map, and the node information of KML file is updated in real time. The pop-up bubble box of the query site shows the pollution concentration and pollution grade, isoline and pollution distribution map to evaluate the overall pollution situation in the inquiry area, and then complete the graph, the histogram shows the change rule of the real time 24 hours and the week pollution data, It also provides the functions of judging the location of pollution sources, broadcasting in real time, alarming the pollution over the critical value and so on, which makes the system release the monitoring results of heavy metals in a comprehensive image. Finally, the environment and function of the system are tested to ensure the safe and reliable operation of the system. In order to solve the problem of missing or wrong monitoring values in real-time heavy metal data, a new spatial interpolation method based on RBF neural network, which is more accurate and suitable for air pollutant interpolation, is proposed in this paper based on the research of existing spatial interpolation methods. It provides an effective data processing method for environmental protection professionals and lays a foundation for the establishment of continuous heavy metal data sets.
【學(xué)位授予單位】：南京信息工程大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：X823;TP311.13

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本文編號：2151860