Ammonia emission concentration measurement using laser absorption spectroscopy chamber system based on deep belief networks
文献类型：期刊论文
| 作者 | Yu, Dongqi1,2; Zhang, Yujun1 ; He, Ying1; You, Kun1; Fan, Boqiang1; Xie, Hao1; Zhang, Wangchun1,2
|
| 刊名 | OPTICAL ENGINEERING
 |
| 出版日期 | 2024-07-01 |
| 卷号 | 63 |
| 关键词 | ammonia measurement deep belief network gas concentration retrieval tunable diode laser absorption spectroscopy |
| ISSN号 | 0091-3286 |
| DOI | 10.1117/1.OE.63.7.074106 |
| 通讯作者 | Zhang, Yujun(yjzhang@aiofm.ac.cn) |
| 英文摘要 | Based on our original development of a new laser absorption spectroscopy chamber (LASC) system, we further report ammonia emission concentration measurement using the LASC system based on deep belief networks (DBNs), aiming to present an effective approach for the retrieval of the gas concentration to increase the measurement accuracy of the LASC system and expand its application to monitoring ammonia emission in farmland. Surrounding the LASC system, an experimental system was constructed, and a DBN algorithm was introduced for gas concentration retrieval. The absorption spectroscopy obtained by the experimental system was first pretreated by an empirical wavelet transform algorithm and principal component analysis method, which greatly improved the signal-to-noise ratio of the signal and reduced the dimensionality of the processed signal to meet the need of the training of DBN model. The results showed that the measured gas concentrations were close to true values with small errors, and the mean relative error obtained by the DBN algorithm (0.37%) was much smaller than those obtained by the back-propagation neural network algorithm (0.97%) and absorbance peak method (2.37%) in a wide range of NH3 standard concentrations. Field experiments verified the effectiveness and reliability of the LASC system when it was applied to ammonia emission measurement in farmland with the concentration retrieval based on the DBN algorithm, which is of importance for its applications in air pollution detection. |
| WOS关键词 | OPEN-PATH ; NITROUS-OXIDE ; METHANE ; GAS ; FLUXES ; SENSOR ; FIBER |
| 资助项目 | National Key Research and Development Project ; Key Research and Development plan of Anhui Province[2022107020036] ; National Natural Science Foundation of China[62033012] ; China Postdoctoral Science Foundation[2023M733541] ; Youth Fund of Hefei Institutes of Physical Science[YZJJ2024QN11] ; Youth Fund of Hefei Institutes of Physical Science[YZJJ2024QN12] ; [2023YFC3705302] |
| WOS研究方向 | Optics |
| 语种 | 英语 |
| WOS记录号 | WOS:001309392800023 |
| 出版者 | SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS |
| 资助机构 | National Key Research and Development Project ; Key Research and Development plan of Anhui Province ; National Natural Science Foundation of China ; China Postdoctoral Science Foundation ; Youth Fund of Hefei Institutes of Physical Science |
| 源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/135149]  |
| 专题 | 中国科学院合肥物质科学研究院 |
| 通讯作者 | Zhang, Yujun |
| 作者单位 | 1.Chinese Acad Sci, Hefei Inst Phys Sci, Hefei, Peoples R China 2.Univ Sci & Technol China, Hefei, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yu, Dongqi,Zhang, Yujun,He, Ying,et al. Ammonia emission concentration measurement using laser absorption spectroscopy chamber system based on deep belief networks[J]. OPTICAL ENGINEERING,2024,63. |
| APA | Yu, Dongqi.,Zhang, Yujun.,He, Ying.,You, Kun.,Fan, Boqiang.,...&Zhang, Wangchun.(2024).Ammonia emission concentration measurement using laser absorption spectroscopy chamber system based on deep belief networks.OPTICAL ENGINEERING,63. |
| MLA | Yu, Dongqi,et al."Ammonia emission concentration measurement using laser absorption spectroscopy chamber system based on deep belief networks".OPTICAL ENGINEERING 63(2024). |
入库方式： OAI收割
来源：合肥物质科学研究院
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。