基于TDLAS的极端环境甲烷高精度检测方法

Tingting Zhang, Lin Zhang, Yanfang Li, Yubin Wei, Zhaowei Wang, Weihua Gong, Lei Lv, Jiqiang Wang, Tong-yu Liu
{"title":"基于TDLAS的极端环境甲烷高精度检测方法","authors":"Tingting Zhang, Lin Zhang, Yanfang Li, Yubin Wei, Zhaowei Wang, Weihua Gong, Lei Lv, Jiqiang Wang, Tong-yu Liu","doi":"10.1117/12.2604823","DOIUrl":null,"url":null,"abstract":"ABSTRACT The continuous emission of greenhouse gases leads to the sharp rise of environmental temperature. Its content and distribution also affect the atmosphere radiation, climate characteristics, stratosphere troposphere exchange (STE) and circulation in the near-tropopause region. Methane is the second most important greenhouse gas after carbon dioxide, and its concentration has strong gradients near the tropopause. Therefore, the sensitivity, accuracy of methane detection approach in extreme environment have been greatly restricted, and this has become a technical bottleneck for low-temperature and low-pressure gas detection. To address this, a novel 3-dimensional compensation model of temperature and pressure is reported based on the simulation of methane absorption characteristic. Through a detailed investigation, the simulation system and compensation model are evaluated, the detection accuracy is improved by an order of magnitude; the minimum detection limit is ~0.012ppm with integration time is 59s.","PeriodicalId":236529,"journal":{"name":"International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT)","volume":"287 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"High precision detection method of methane in extreme environment based on TDLAS\",\"authors\":\"Tingting Zhang, Lin Zhang, Yanfang Li, Yubin Wei, Zhaowei Wang, Weihua Gong, Lei Lv, Jiqiang Wang, Tong-yu Liu\",\"doi\":\"10.1117/12.2604823\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT The continuous emission of greenhouse gases leads to the sharp rise of environmental temperature. Its content and distribution also affect the atmosphere radiation, climate characteristics, stratosphere troposphere exchange (STE) and circulation in the near-tropopause region. Methane is the second most important greenhouse gas after carbon dioxide, and its concentration has strong gradients near the tropopause. Therefore, the sensitivity, accuracy of methane detection approach in extreme environment have been greatly restricted, and this has become a technical bottleneck for low-temperature and low-pressure gas detection. To address this, a novel 3-dimensional compensation model of temperature and pressure is reported based on the simulation of methane absorption characteristic. Through a detailed investigation, the simulation system and compensation model are evaluated, the detection accuracy is improved by an order of magnitude; the minimum detection limit is ~0.012ppm with integration time is 59s.\",\"PeriodicalId\":236529,\"journal\":{\"name\":\"International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT)\",\"volume\":\"287 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.2604823\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2604823","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

温室气体的持续排放导致环境温度急剧上升。它的含量和分布也影响大气辐射、气候特征、平流层对流层交换和近对流层顶区域的环流。甲烷是仅次于二氧化碳的第二大温室气体,其浓度在对流层顶附近有很强的梯度。因此,极端环境下甲烷检测方法的灵敏度、准确性受到很大限制,成为低温低压气体检测的技术瓶颈。为了解决这一问题,在模拟甲烷吸收特性的基础上,提出了一种新的三维温度和压力补偿模型。通过详细的研究,对仿真系统和补偿模型进行了评价,检测精度提高了一个数量级;最小检出限为~0.012ppm,积分时间为59s。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High precision detection method of methane in extreme environment based on TDLAS
ABSTRACT The continuous emission of greenhouse gases leads to the sharp rise of environmental temperature. Its content and distribution also affect the atmosphere radiation, climate characteristics, stratosphere troposphere exchange (STE) and circulation in the near-tropopause region. Methane is the second most important greenhouse gas after carbon dioxide, and its concentration has strong gradients near the tropopause. Therefore, the sensitivity, accuracy of methane detection approach in extreme environment have been greatly restricted, and this has become a technical bottleneck for low-temperature and low-pressure gas detection. To address this, a novel 3-dimensional compensation model of temperature and pressure is reported based on the simulation of methane absorption characteristic. Through a detailed investigation, the simulation system and compensation model are evaluated, the detection accuracy is improved by an order of magnitude; the minimum detection limit is ~0.012ppm with integration time is 59s.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信