基于ArcEngine的污染场地修复技术筛选平台设计与开发

	基于ArcEngine的污染场地修复技术筛选平台设计与开发
	王新秀
学位类型	硕士
导师	高猛
	2015-05-17
学位授予单位	中国科学院研究生院
学位授予地点	北京
学位专业	地图学与地理信息系统
关键词	污染场地土壤修复组件式gis 信息管理决策支持
摘要	随着我国经济的快速发展，污染场地数量急剧增加，污染场地修复也越来越受到国家重视。污染场地修复是一项复杂的工程实践，包括污染场地调查、风险评估、场地修复等多个环节，涉及多类型信息管理、多种模型应用和多属性决策问题。建立污染场地修复技术筛选平台，实现场地信息综合管理、风险评估、修复技术决策等功能，具有重要的科学意义和价值。本文在参考国内外污染场地风险评估及修复技术筛选软件的基础上，特别是参考我国最新颁布的与污染场地调查和修复相关的技术导则，开展了污染场地管理与修复技术筛选研究。同时，基于GIS 组件式开发技术与可视化编程语言C#,结合SQL Server 2008数据库，设计并开发了基于ArcEngine的污染场地修复技术筛选平台。本文的主要研究内容包括：(1)污染场地环境调查信息管理与分类、风险评估和污染土壤修复技术筛选的原理、流程；(2)污染场地修复技术筛选平台的需求分析及系统设计，包括功能设计、模块设计、流程设计、数据库设计和筛选模块设计；(3)污染场地修复技术筛选平台的功能实现，包括污染场地信息管理功能、风险评估功能和修复技术决策功能，并在ArcEngine平台下完成了系统开发；(4)污染场地修复技术筛选平台的应用，以青海海北化工厂铬污染场地为例，进行场地信息录入与管理，并利用修复技术筛选模块对可选的修复技术进行了初步筛选，为场地修复实践提供了参考。本文设计和开发的污染场地修复技术筛选平台可以有效地管理染场地调查所涉及的各类信息，并为修复技术人员提供场地风险评估和修复技术筛选的帮助，是一种适用于我国国情的场地管理工具和修复决策支持工具。该系统在数据存储方式、模型数量等方面还存在不足，需要在信息存储方式、模型丰富度、三维可视化与插值方法以及多属性决策方面进行改进和完善。
其他摘要	With the rapid economic development and urbanization, more and more contaminated sites arose in China due to industrial plants relocation in the past few decades. The remediation and reuse of these contaminated sites have attracted broad attention from government, scientists, and general public. As we know contaminated site remediation is a complicated process ranging from contaminated site investigation, risk assessment, monitoring, remediation technology selection, to remediation implementation. In this process, a lot of technical and engineering problems, such as multiple types of information management, multiple assessment model application and multiple attribute decision making are involved. Therefore, it is meaningful and necessary to develop a decision support system (DSS) that aims to solve the above-mentioned problems. In this thesis, the information management and remediation technology selection techniques are firstly studied through reviewing previous literatures and software package about site risk assessment and/or remediation, especially the newly published national technical guide of contaminated site remediation. Meanwhile, a DSS is designed and developed, where the system implementation is based on C# language and ArcEngine GIS component platform associated with SQL Server-2008. The main contents of this thesis include:(1)the principles and basic processes of contaminated site investigation, risk assessment and remediation technology decision, along with information management and classifications; (2) the software requirement analysis and system design, including function design, module design, process design, database design, and the remediation technology decision; (3) implementation and coding of the DSS, especially the three main functions, contaminated site information management, risk assessment, and remediation technology decision;(4)an application of the system to Cr contaminated site, HaiBei chemical plant, including the input of site information and management, remediation technology selection. It is concluded that the system presented in this thesis plays a supporting role during the contaminated site remediation and alleviates technicians’ burden in decision making. However, there is some short coming in data storage and assessment and selection model. The future work should concern the geographic information storage mode, the richness of assessment models, 3D visualization and interpolation, and multiple objective decisions for remediation selection.
语种	中文
文献类型	学位论文
条目标识符	http://ir.yic.ac.cn/handle/133337/7918
专题	中国科学院烟台海岸带研究所知识产出_学位论文
作者单位	中国科学院烟台海岸带研究所
推荐引用方式 GB/T 7714	王新秀. 基于ArcEngine的污染场地修复技术筛选平台设计与开发[D]. 北京. 中国科学院研究生院,2015.

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