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Strategic environmental assessment of community air toxics exposure resulting from land use policy.

机译:土地使用政策对社区空气中毒暴露的战略环境评估。

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摘要

A significant problem in metropolitan areas is chronic population exposure to very small amounts of toxic chemicals emitted to the atmosphere by industrial, commercial and transportation sources, resulting in increased risk of cancer and other noncarcinogenic health hazards. My research goal was an approach to integrating community health risk characterization into the land use planning process by linking risk simulation and land use optimization models in a spatial decision support system for the strategic environmental assessment and management of the long-term health risk impacts of air toxics exposure resulting from implementation of land use policies.; The key system component is a source model for estimating land use emission factors as a function of local policy for permitted uses. A case study is used to test system accuracy and its ability to estimate the potential impacts of long-range land use policy. Major components of the spatial decision support system are: (1) LUAIRTOX—a source model for estimating air toxics emission factors for land use zoning districts as a function of uses permitted by local ordinance; (2) ISCST3—the EPA's regulatory model for predicting fate and transport of airborne contaminants, which was adapted to use land use zoning districts as source terms; and (3) a linear programming model to manage community health risk by optimizing planned land use to minimize the total community risk burden. The system components are loosely coupled using a GIS for data management and results visualization.; The spatial decision support system is especially timely because of the growing interest by planning professionals and citizen groups in the concept of “new urbanism” or neo-traditional planning, which has not yet satisfactorily explained how to accommodate the manufacturing sector in a community. The case study results suggest that neo-traditional land use policies encouraging expansion of the manufacturing base from within or nearby existing residential neighborhoods may exacerbate the risk burden on those areas. The health risk implications of these policies need to be explored before adoption, and alternative land use strategies or risk management policies developed. This research provides a tool for air toxics risk assessment and risk management.
机译:大城市地区的一个重要问题是长期人口接触工业,商业和运输来源排放到大气中的极少量有毒化学物质,导致罹患癌症和其他非致癌健康危害的风险增加。我的研究目标是通过将风险模拟和土地利用优化模型链接到空间决策支持系统中,以对空气的长期健康风险影响进行战略环境评估和管理,将社区健康风险特征纳入土地使用规划过程的方法实施土地使用政策导致的有毒物质暴露;关键的系统组件是一个源模型,用于根据允许使用的地方政策估算土地使用的排放因子。案例研究用于测试系统准确性及其评估长期土地使用政策的潜在影响的能力。空间决策支持系统的主要组成部分是:(1)LUAIRTOX-一种源模型,用于根据当地法令允许的用途来估算土地使用分区的空气中毒物排放因子; (2)ISCST3-EPA预测空气污染物的结局和运输的监管模型,该模型已改编为以土地使用分区地区为来源术语; (3)线性规划模型,可通过优化计划土地使用以最大程度降低社区整体风险负担来管理社区健康风险。系统组件使用GIS进行松散耦合,以进行数据管理和结果可视化。空间决策支持系统特别及时,因为规划专业人员和公民团体对“新城市主义”或新传统规划概念的兴趣日益浓厚,但尚未令人满意地说明如何在社区中容纳制造业。案例研究结果表明,鼓励从现有居民区内或附近扩展生产基地的新传统土地使用政策可能会加剧这些地区的风险负担。在采用这些政策之前,必须先探讨这些政策对健康风险的影响,并制定其他土地使用策略或风险管理政策。这项研究为空气中毒物的风险评估和风险管理提供了一种工具。

著录项

  • 作者

    Willis, Melvin Robert.;

  • 作者单位

    University of California, Santa Barbara.;

  • 授予单位 University of California, Santa Barbara.;
  • 学科 Environmental Sciences.; Urban and Regional Planning.
  • 学位 Ph.D.
  • 年度 2003
  • 页码 246 p.
  • 总页数 246
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 环境科学基础理论;区域规划、城乡规划;
  • 关键词

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