4.8 Article

Toward the Threshold of Radiation Hazards of U in Chinese Coal through the CART Algorithm

期刊

ENVIRONMENTAL SCIENCE & TECHNOLOGY
卷 56, 期 3, 页码 1864-1874

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.est.1c07776

关键词

naturally occurring radioactive materials; coal combustion residues; radiation hazard; building materials; classification and regression tree

资金

  1. National Key National Key Research and Development Program of China [2021YFC2902000]
  2. National Natural Science Foundation of China [61772320]
  3. 111 Projects [B17042]

向作者/读者索取更多资源

The potential harm of naturally occurring radioactive materials in coal combustion residues to humans depends on the U content and ash yield in coal. The threshold of U content in coal varies depending on the ash yield levels.
The high volume of coal used for combustion usually leads to a large amount of coal combustion residues (CCRs), which contain the naturally occurring radioactive materials (NORMs) decayed from U and Th in coals. The high radioactivity of NORMs can cause potential harm to humans if the CCRs are used as building materials. The activities of CCRs not only depend on the concentrations of radionuclides but also largely depend on the variations of ash yields of coal. On the other hand, ash yields significantly vary in coal from less than 1-50%. This indicates that similar concentrations of radionuclides in coal with different ash yields generally do not result in similar activities in CCRs. Therefore, it is significant to build a threshold of U in coals with different ash yield levels. In this research, based on the data of 945 coal samples from China and the selected optimal model using the classification and regression tree algorithm, the threshold of U for the radiation hazard is determined to be 7.98 mg/kg for coals with ash yields higher than 20%, while the threshold of U for the radiation hazard is 5.28 mg/kg for coals with ash yields lower than 20%.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据