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Updated: Jan 28, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

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超越住宅环境度:量化暴露误差和推进个人PM2.5预测,使用可扩展的建模框架.

Xinjie Dai1, Ruitong Zhang1, Qing Li1

  • 1School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-Sen University, Shenzhen, Guangdong 518107, China.

Environmental science & technology
|January 26, 2026
PubMed
概括

准确的个人PM2.5暴露评估对流行病学至关重要. 这项研究开发了一个可扩展的框架来预测个人暴露,通过克服环境数据限制来提高健康研究的有效性.

关键词:
暴露错误分类的错误分类微细颗粒物 (PM2.5) 是一种微细颗粒物.机器学习是机器学习.个人暴露的个人暴露.

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