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中文摘要：
区域危险废物环境管理与风险控制是涉及到危险废物特性、环境、经济和社会等多因素的复杂过程，对资源环境的可持续发展和人体健康都至关重要。空间数据挖掘技术在传统数据挖掘的基础上增加空间维尺度，能够实现从空间数据库和非空间数据库中提取危险废物产生、转移、处置和管理过程中隐含的空间模式与特征。文章在传统的危险废物环境管理和风险控制方法的基础上，构建了区域危险废物空间数据挖掘的指标体系，并设计了一种基于空间数据挖掘技术的区域危险废物决策支持系统框架。该框架由数据层、数据挖掘层和显示层组成，为区域危险废物管理和决策提供了直观的、科学的和高效的支持，提供了一种新颖可行的思路和方法提高危险废物的环境管理和风险控制水平，具有一定的理论和现实意义。
英文摘要：
Regional hazardous waste management and environmental risk management is a complicated process which relate to the characteristics of hazardous waste as well as environmental, economic, social and many other factors. Based on traditional methods of hazardous waste management and environmental risk management, combined with techniques of spatial datamining （SDM）, a framework of regional hazardous waste decision support system was designed. Some applications of SDM on decision of regional hazardous waste were also proposed. Suggestions are made for the Province＇ s mid and long-term （2007-2020） planning of nature reserves.
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