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基于GIS的区域环境噪声分析与评价
引用本文:陈荣平,潘洁,张银龙,林乃锋.基于GIS的区域环境噪声分析与评价[J].中国环境监测,2013,29(5):114-117.
作者姓名:陈荣平  潘洁  张银龙  林乃锋
作者单位:南京林业大学森环院, 江苏 南京 210037;南京林业大学化工院, 江苏 南京 210037;南京林业大学森环院, 江苏 南京 210037;南京林业大学森环院, 江苏 南京 210037;南京信息工程大学遥感学院, 江苏 南京 210044
基金项目:国家林业局"948"项目(2011-4-81);江苏省高校优势学科建设工程资助项目;南京林业大学创新项目(CX2011-09)
摘    要:噪声污染具有复杂的空间分布特征,传统的噪声评价方法难以达到准确、直观的效果。噪声分布的空间特性和GIS强大的空间数据处理和分析功能及可视化图像操作界面,使得GIS在处理与空间位置有关的环境噪声问题方面体现出巨大优势。以大学校园为例,探讨了GIS方法在区域环境噪声评价方面的应用。研究结果表明,GIS 方法评价噪声高效、准确、直观,是区域环境噪声评价理想的技术工具并具有良好的应用前景。

关 键 词:环境噪声  GIS  环境评价  IDW
收稿时间:2012/2/13 0:00:00
修稿时间:4/7/2012 12:00:00 AM

Analysis and Evaluation of Regional Environment Noise Based on GIS Technology
CHEN Rong-ping,PAN Jie,ZHANG Yin-long and LIN Nai-feng.Analysis and Evaluation of Regional Environment Noise Based on GIS Technology[J].Environmental Monitoring in China,2013,29(5):114-117.
Authors:CHEN Rong-ping  PAN Jie  ZHANG Yin-long and LIN Nai-feng
Institution:College of Forest Resources and Environment, Nanjing Forestry University, Nanjing 210037, China;College of Chemistry engineering, Nanjing Forestry University, Nanjing 210037, China;College of Forest Resources and Environment, Nanjing Forestry University, Nanjing 210037, China;College of Forest Resources and Environment, Nanjing Forestry University, Nanjing 210037, China;College of Remote Sensing, Nanjing University of Informat
Abstract:Noise pollution was considered complex characteristics in the spatial distribution. It is great difficult to get more accurate and direct results by traditional evaluation methods. With the spatial character of noise distribution and the powerful capability of spatial data processing spatial analysis and visualization, GIS technique has great advantage in processing environmental problems related to spatial locations. This article takes the university campus as an example, discussing the application of GIS method in the evaluation of regional environment noise. The research indicated that the GIS evaluation method is an ideal technologic tool in evaluation environment noise and it has good application prospect.
Keywords:environment noise  geography information system  environment evaluation  inverse distance weighted
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