大气重金属污染实时评价显示系统设计
发布时间：2018-07-29 06:45
【摘要】：近年来,我国许多省份雾霾天气频发,导致的健康危害引起社会广泛关注,但是作为空气质量主要影响因素之重金属污染,尚未全面开展重金属污染物监测项目,也未建立大气重金属质量控制发布系统。在这样的环境污染状况和应用需求下,本文在Visual Studio 2008+MFC环境下设计了大气重金属污染实时评价显示系统。系统采用C/S体系结构,以SQL Server 2005为系统后台数据库,用于存储和管理系统信息,对重金属监测信息综合应用单因子污染指数法和潜在生态危害指数法进行生态环境污染评估与分级,为系统数据汇总、统计及显示做好数据预处理工作。首先,采用ADO技术访问数据库,实现系统与数据库信息交互；接着,以Google Earth和百度地图为开发平台,实现重金属监测信息与基础地理信息的集成,实时更新KML文件节点信息,查询站点弹出气泡框显示污染浓度值与污染等级,等值线和污染分布图评估查询地区整体污染状况；然后,完成曲线图、柱状图展示实时、24h及周污染数据变化规律、并提供判别污染源位置、实时播报、污染超过临界值报警等功能,使得系统全面形象的发布重金属监测结果；最后,对系统进行了环境与功能测试,保障系统安全可靠地运行。针对实时重金属数据存在监测值缺失或错误的现象,本文在研究现有的空间插值法基础上,提出插值精度更高且适合于大气污染物插补的RBF神经网络空间插值法,取得了良好的效果,为环保业务人员提供了有效的数据处理方法,同时为建立连续重金属数据集奠定了基础。
[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.
【学位授予单位】：南京信息工程大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：X823;TP311.13
[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.
【学位授予单位】：南京信息工程大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：X823;TP311.13
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