基于GIS城市道路交通噪声环境管理系统的构架与实现

详细介绍了基于GIS技术开发城市道路交通噪声环境管理系统的构架与实现.该系统的开发工作主要包括:噪声数据库设计、噪声数据管理、交通噪声的模拟和交通噪声影响统计.系统采用了数据库技术、GIS技术和交通噪声预测模型,综合考虑实际情况,对城市噪声环境进行管理和模拟.从实例结果分析可见,模拟结果能达到实际使用的要求.该系统能为城市规划、城市环境评价提供信息和技术支持.     

构建以GIS为基础支撑的数字环保体系

探讨了构建以地理信息系统（GIS）为基础支撑的数字环保体系,给出了一个以GIS为基础支撑的数字环保结构模型,阐述了GIS在数字环保中的应用,说明GIS技术是数字环保系统建立和运行必不可少的支撑。     

水环境数学模型与GIS的集成研究

从地理信息系统(GIS)的功能特点、环境信息的特性和水环境数学模型软件应用时存在不足的3个方面分析了GIS和水环境数学模型软件集成的必要性.介绍了GIS和水环境数学模型的集成方式以及苏州河三期综合整治决策支持系统的主要功能结构,重点从GIS和水环境数学模型集成方面介绍了地图矢量化、模型计算结果转化为相应数据库文件、数据库文件和GIS实现绑定以及断面水位动态演示的实现方法和重要作用.     

论基于EGIS平台的放射源管理系统的开发

放射源管理系统是一种基于环境地理信息系统平台的资源管理系统,是GIS技术与环境监测技术、环境管理技术、数据库技术等各种环境信息分析和处理技术的集成。系统为环保部门提供了一个功能强大的空间信息服务和管理工具,可以直观、方便地获取放射源的监控、管理等数据信息,为环境管理部门的决策提供依据。     

基于空间决策支持系统的"数字生态"系统研究

融合决策支持系统(DSS)的多模型组合建模技术和地理信息系统(GIS)的空间分析技术形成的空间决策支持系统(SDSS)为生态城市的建设带来了新的方法和技术支持,对生态城市建设的研究和实践具有重要的战略意义."数字生态"是综合应用卫星遥感、地理信息、全球定位、DSS、SDSS、宽带网络、多媒体及虚拟仿真等技术,以数据平台、应用平台为框架,为生态管理、设计、建设的静态、动态、分析、决策等提供服务的技术系统,它是生态的数字化再现.探讨了"数字生态"系统的总体框架结构和功能,数据库和应用系统的设计,以及结合系统的人机交互系统,从而实现对生态城市发展模式的辅助决策.     

基于GIS技术建立区域危险化学品管理体系

分析了地理信息系统 ( GIS)技术的特点 ,阐述了它在建立区域危险化学品管理体系中的适用性。论述了基于 GIS技术建立区域危险化学品管理体系的主要内容、关键技术和技术路线 ,最后指出了区域危险化学品管理体系是一个需要不断更新的体系。     

生态系统的移动监管系统研制成功

福建厦门环境信息中心与北京大学空间信息工程中心合作，研制成功生态系统的移动监管系统，并通过了专家鉴定。专家认定该系统达到国际先进水平，它将RS、GIS、GPS技术同移动通信和办公管理相结合，使得外出作业人员能方便地把作业数据、定位数据和数码照片记录储存，并定时传递到指挥中心数据库，指挥中心可通过该系统查看收到的调查数据，并跟踪每一个外出作业人员的位置移动，向其发出指令。     

生态系统的移动监管系统研制成功

福建厦门环境信息中心与北京大学空间信息工程中心合作，研制成功生态系统的移动监管系统，并通过了专家鉴定。专家认定该系统达到国际先进水平，它将RS、GIS、GPS技术同移动通信和办公管理相结合，使得外出作业人员能方便地把作业数据、定位数据和数码照片记录储存，并定时传递到指挥中心数据库，指挥中心可通过该系统查看收到的调查数据，并跟踪每一个外出作业人员的位置移动，向其发出指令。     

可视化黄浦江水环境数学模型系统设计与开发

随着信息技术的高速发展,传统的水环境数学模型与数据库技术、GIS技术、可视化编程工具紧密结合,水环境数学模型的可视化是其发展的一个重要趋势,也是开发水环境决策支持系统和水环境数学模型商业软件的重要基础。对可视化水环境数学模型的设计框架进行了初步探讨,并结合自主开发的可视化黄浦江二维水环境数学模型系统,介绍可视化水环境数学模型的设计与开发。     

第一次全国污染源普查重点污染源空间数据管理与信息共享服务平台建设研究

第一次全国污染源普查是重大的国情调查,分析和利用好第一次全国污染源普查数据具有重要意义.针对第一次全国污染源普查重点污染源数据,采用地理信息系统(GIS)技术,基于面向服务架构(SOA)设计,开发了第一次全国污染源普查重点污染源空间数据管理与信息共享服务平台,平台包括数据库、数据库管理系统、信息发布与共享服务平台.平台为污染源普查数据的制图、可视化分析、汇总和发布提供空间数据服务和技术支撑,为第一次全国污染源普查工作办公室提供了可视化的管理平台,也为相关业务部门和科研机构提供了方便的数据查询、分级浏览和分发服务等功能,有力地支撑了污染源普查数据的共享、分析和应用.     

环境应急信息管理平台

环境应急信息管理平台是以信息化技术手段作为支撑的、面向环境应急事件的综合性的信息管理、事态预测、应急决策系统。系统以GIS为基础,可以快速地了解突发环境事件的发展状况,同时通过对环境背景数据库、空间信息数据库、环境应急专项数据库中的相关知识与数据进行综合分析,建立污染物扩散模型以及辅助决策模型,为决策者快速提供一个直观、科学、合理、优化的应急处置方案和指挥调度方案,并能够为事件后期评估、科学制定善后处理措施提供必要保障。     

Remote Sensing Tools Assist in Environmental Forensics:Part II—Digital Tools

This is the second part of a two-part discussion, in which we will provide an overview of the use of GIS and GPS in environmental analysis and enforcement. Geographic Information Systems (GIS) describes a system which manages, analyses and displays geographic information. Environmental applications include analysis of source, extent and transport of contaminants, nonpoint runoff modeling, flood control, and emergency response support. The ability to examine spatial relationships between environmental observations and other mapped and historical information, and to communicate these relationships to others, makes GIS valuable in environmental forensics. The US Environmental Protection Agency currently requires the inclusion of locational information with all other environmental data that is collected. Geographic Information Systems is a complex tool that requires careful planning and design to be successfully implemented. Choices in hardware, software and data development must be based on evaluation of project objectives, analytical requirements, data availability and data development considerations. Data sets must be evaluated and documented with metadata. The Global Positioning System (GPS) is a satellite-based system which provides highly accurate, three-dimensional position information anywhere on the earth’s surface. Using portable radio receivers, field analysts can easily record the positions of spill sites, sampling locations and other environmental features. Spatial accuracy of GPS ranges from 20–30 m (single receiver) to 1–5 m (differential GPS) for navigation-grade instruments, and down to millimeter level accuracy for geodetic units. Global Position Systems can be used not only to capture spatial information into a GIS system, but also to evaluate and quantify the spatial accuracy of existing digital map data, and to provide control points for existing aerial photographs and other remotely-sensed data.     

上海市青浦区农业非点源污染的流域分配研究

根据遥感技术得到的土地利用类型、河网、道路、圩区等信息,结合地理信息系统(GIS)的空间分析功能,建立了在多种空间因素影响下确定农业非点源污染负荷的流域分配方法。在此基础上,以上海市青浦区为例,得到了该区各河段中的污染负荷量．从而为寻求流域内合理的土地利用模式和农业非点源污染排放总量的控制方法提供决策依据。     

Estimating erosion in a riverine watershed bayou liberty-tchefuncta river in louisiana

GOAL, SCOPE, BACKGROUND: Sheet erosion from agricultural, forest and urban lands may increase stream sediment loads as well as transport other pollutants that adversely affect water quality, reduce agricultural and forest production, and increase infrastructure maintenance costs. This study uses spatial analysis techniques and a numerical modeling approach to predict areas with the greatest sheet erosion potential given different soils disturbance scenarios. METHODS: A Geographic Information System (GIS) and the Universal Soil Loss Equation (USLE) were used to estimate sheet erosion from 0.64 ha parcels of land within the watershed. The Soil Survey of St. Tammany Parish, Louisiana was digitized, required soil attributes entered into the GIS database, and slope factors determined for each 80 x 80 meter parcel in the watershed. The GIS/USLE model used series-specific erosion K factors, a rainfall factor of 89, and a GIS database of scenario-driven cropping and erosion control practice factors to estimate potential soil loss due to sheet erosion. RESULTS AND DISCUSSION: A general trend of increased potential sheet erosion occurred for all land use categories (urban, agriculture/grasslands, forests) as soil disturbance increases from cropping, logging and construction activities. Modeling indicated that rapidly growing urban areas have the greatest potential for sheet erosion. Evergreen and mixed forests (production forest) had lower sheet erosion potentials; with deciduous forests (mostly riparian) having the least sheet erosion potential. Erosion estimates from construction activities may be overestimated because of the value chosen for the erosion control practice factor. CONCLUSIONS: This study illustrates the ease with which GIS can be integrated with the Universal Soil Loss Equation to identify areas with high sheet erosion potential for large scale management and policy decision making. RECOMMENDATIONS: The GIS/USLE modeling approach used in this study offers a quick and inexpensive tool for estimating sheet erosion within watersheds using publicly available information. This method can quickly identify discrete locations with relatively precise spatial boundaries (approximately 80 meter resolution) that have a high sheet erosion potential as well as areas where management interventions might be appropriate to prevent or ameliorate erosion.     

Development of a speciated, hourly, and gridded air pollutants emission modeling system--a case study on the precursors of photochemical smog in the Seoul metropolitan area, Korea

A speciated, hourly, and gridded air pollutants emission modeling system (SHEMS) was developed and applied in predicting hourly nitrogen dioxide (NO2) and ozone (O3) levels in the Seoul Metropolitan Area (SMA). The primary goal of the SHEMS was to produce a systemized emission inventory for air pollutants including ozone precursors for modeling air quality in urban areas. The SHEMS is principally composed of three parts: (1) a pre-processor to process emission factors, activity levels, and spatial and temporal information using a geographical information system; (2) an emission model for each source type; and (3) a post-processor to produce report and input data for air quality models through database modeling. The source categories in SHEMS are point, area, mobile, natural, and other sources such as fugitive emissions. The emission database produced by SHEMS contains 22 inventoried compounds: sulfur dioxide, NO2, carbon monoxide, and 19 speciated volatile organic compounds. To validate SHEMS, the emission data were tested with the Urban Airshed Model to predict NO2 and O3 concentrations in the SMA during selected episode days in 1994. The results turned out to be reliable in describing temporal variation and spatial distribution of those pollutants.     

GIS-based source identification and apportionment of diffuse water pollution: perfluorinated compound pollution in the Tokyo Bay basin

To efficiently reduce perfluorinated compound (PFC) pollution, it is important to have an understanding of PFC sources and their contribution to the pollution. In this study, source identification of diffuse water pollution by PFCs was conducted using a GIS-based approach. Major components of the source identification were collection of the monitoring data and preparation of the corresponding geographic information that was extracted from a constructed GIS database. The spatially distributed pollution factors were then explored by multiple linear regression analysis, after which they were visually expressed using GIS. Among the 35 PFC homologues measured in a survey of the Tokyo Bay basin, 18 homologues were analyzed. Pollution by perfluorooctane sulfonate (PFOS) was explained well by the percentage of arterial traffic area in the basin, and the 84% variance of the measured PFOS concentration was explained by two geographic variables, arterial traffic area and population. Source apportionment between point and nonpoint sources was conducted based on the results of the analysis. The contribution of PFOS from nonpoint sources was comparable to that from point sources in several major rivers flowing into Tokyo Bay. Source identification and apportionment using the GIS-based approach was shown to be effective, especially for ubiquitous types of pollution, such as PFC pollution.     

Development of a GIS-based decision support system for urban air quality management in the city of Istanbul

A decision support system has been developed for urban air quality management in the metropolitan area of Istanbul. The system is based on CALMET/CALPUFF dispersion modeling system, digital maps, and related databases to estimate the emissions and spatial distribution of air pollutants with the help of a GIS software. The system estimates ambient air pollution levels at high temporal and spatial resolutions and enables mapping of emissions and air quality levels. Mapping and scenario results can be compared with air quality limits. Impact assessment of air pollution abatement measures can also be carried out.     

Development of a Speciated,Hourly, and Gridded Air Pollutants Emission Modeling System—A Case Study on the Precursors of Photochemical Smog in the Seoul Metropolitan Area,Korea

ABSTRACT

A speciated, hourly, and gridded air pollutants emission modeling system (SHEMS) was developed and applied in predicting hourly nitrogen dioxide (NO₂) and ozone (O₃) levels in the Seoul Metropolitan Area (SMA). The primary goal of the SHEMS was to produce a systemized emission inventory for air pollutants including ozone precursors for modeling air quality in urban areas.

The SHEMS is principally composed of three parts: (1) a pre-processor to process emission factors, activity levels, and spatial and temporal information using a geographical information system; (2) an emission model for each source type; and (3) a post-processor to produce report and input data for air quality models through database modeling. The source categories in SHEMS are point, area, mobile, natural, and other sources such as fugitive emissions. The emission database produced by SHEMS contains 22 inventoried compounds: sulfur dioxide, NO₂, carbon monoxide, and 19 speciated volatile organic compounds. To validate SHEMS, the emission data were tested with the Urban Airshed Model to predict NO₂ and O₃ concentrations in the SMA during selected episode days in 1994. The results turned out to be reliable in describing temporal variation and spatial distribution of those pollutants.