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用于环境噪声绘制的地理空间分析:大都会城市的土地利用回归方法
Ehsan Gharehchahi1, Hassan Hashemi2, Masud Yunesian3
1Department of Environmental Health Engineering, School of Public Health, Shiraz University of Medical Sciences, Shiraz, Iran; Department of Environmental Health Engineering, School of Public Health, Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.
Environmental research
|June 13, 2024
概括
这项研究开发了一种土地利用回归 (LUR) 模型,用于绘制伊朗希拉兹 (Shiraz) 的环境噪音空间变异性的地图. 该模型发现噪音水平超过了世卫组织的建议,突显了城市降噪战略的必要性.
科学领域:
- 环境健康 环境健康
- 城市规划 城市规划
- 声学 声学 在声学方面
背景情况:
- 环境噪音带来健康风险,需要了解其空间分布.
- 有效的城市规划需要准确的噪音水平绘制,以减轻对健康的影响.
研究的目的:
- 为了测量伊朗希拉兹的环境噪音水平.
- 开发一个土地利用回归 (LUR) 模型来预测噪音空间变化.
- 根据世界卫生组织 (WHO) 的建议,评估噪音水平.
主要方法:
- 基于网格的方法建立了191个测量站点,用于使用L_den和L_night指标开发LUR模型.
- 交叉验证 (LOOCV) 和38个地点的独立验证评估了模型性能.
- 统计分析包括R平方,调整后的R平方和平均绝对误差 (MAE).
主要成果:
- 土地使用权模型解释了67% (L_den) 和65% (L_night) 的空间噪声变化.
- 验证结果为两个指标的R平方值为0.62,MAE低于4.74dB (A).
- 噪音水平始终超过世卫组织推的限值,与道路相关的变量显著影响结果.
结论:
- 在LUR建模方法有效预测使用地理预测器的环境噪声水平.
- 调查结果显示,希拉兹的城市噪音污染严重,超过了安全暴露限值.
- 该研究为伊朗和全球城市噪音管理提供了有价值的工具.
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