利用墓碑侵蚀率重建过去的大气污染水平

R. Inkpen
{"title":"利用墓碑侵蚀率重建过去的大气污染水平","authors":"R. Inkpen","doi":"10.1111/AREA.12035","DOIUrl":null,"url":null,"abstract":"Converting the erosion rates derived from gravestones into erosion rates for specific time periods is possible by averaging loss data for gravestones for that time period. This information can be used with Lipfert's damage function to postdict levels of atmospheric pollution for specific locations for specific time periods. A correction factor for stone type, derived from the literature, needs to be applied to the damage function. The derived sulphur dioxide (SO2) levels are likely to represent atmospheric pollution conditions 20 years after the time period to which the erosion rates refer, because there is a lag in the response of the gravestone erosion to environmental conditions. With these correction factors applied, distinct temporal trends can be identified in both Oxford and Swansea, specifically a rapid increase in atmospheric SO2 in the early 20th century, a distinct dip in levels during the 1940s and a dramatic rise in the 1950s. In addition, there is a clear urban/rural difference in derived SO2 levels, with levels in urban Oxford being significantly higher than those in rural Oxford throughout the period of data availability. The significance of industrial activity is clearly illustrated by the very high levels of derived SO2 in Swansea throughout the early to mid 20th century.","PeriodicalId":72297,"journal":{"name":"Area (Oxford, England)","volume":"26 1","pages":"321-329"},"PeriodicalIF":0.0000,"publicationDate":"2013-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Reconstructing past atmospheric pollution levels using gravestone erosion rates\",\"authors\":\"R. Inkpen\",\"doi\":\"10.1111/AREA.12035\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Converting the erosion rates derived from gravestones into erosion rates for specific time periods is possible by averaging loss data for gravestones for that time period. This information can be used with Lipfert's damage function to postdict levels of atmospheric pollution for specific locations for specific time periods. A correction factor for stone type, derived from the literature, needs to be applied to the damage function. The derived sulphur dioxide (SO2) levels are likely to represent atmospheric pollution conditions 20 years after the time period to which the erosion rates refer, because there is a lag in the response of the gravestone erosion to environmental conditions. With these correction factors applied, distinct temporal trends can be identified in both Oxford and Swansea, specifically a rapid increase in atmospheric SO2 in the early 20th century, a distinct dip in levels during the 1940s and a dramatic rise in the 1950s. In addition, there is a clear urban/rural difference in derived SO2 levels, with levels in urban Oxford being significantly higher than those in rural Oxford throughout the period of data availability. The significance of industrial activity is clearly illustrated by the very high levels of derived SO2 in Swansea throughout the early to mid 20th century.\",\"PeriodicalId\":72297,\"journal\":{\"name\":\"Area (Oxford, England)\",\"volume\":\"26 1\",\"pages\":\"321-329\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Area (Oxford, England)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1111/AREA.12035\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Area (Oxford, England)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1111/AREA.12035","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

摘要

将墓碑的侵蚀速率转化为特定时期的侵蚀速率是可能的,方法是对该时期的墓碑损失数据进行平均。这些信息可以与Lipfert的损害函数一起用于预测特定时间段特定地点的大气污染水平。从文献中导出的石型修正系数需要应用于损伤函数。所得的二氧化硫(SO2)水平很可能代表侵蚀速率所参照的时间段后20年的大气污染状况,因为墓碑侵蚀对环境条件的反应存在滞后。利用这些校正因子,可以在牛津和斯旺西确定明显的时间趋势,特别是20世纪初大气中二氧化硫的快速增加,20世纪40年代水平明显下降,50年代急剧上升。此外,得出的SO2水平存在明显的城乡差异,在整个数据可用期间,牛津城市的水平明显高于牛津农村的水平。在整个20世纪早期到中期,斯旺西非常高的二氧化硫排放水平清楚地说明了工业活动的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Reconstructing past atmospheric pollution levels using gravestone erosion rates
Converting the erosion rates derived from gravestones into erosion rates for specific time periods is possible by averaging loss data for gravestones for that time period. This information can be used with Lipfert's damage function to postdict levels of atmospheric pollution for specific locations for specific time periods. A correction factor for stone type, derived from the literature, needs to be applied to the damage function. The derived sulphur dioxide (SO2) levels are likely to represent atmospheric pollution conditions 20 years after the time period to which the erosion rates refer, because there is a lag in the response of the gravestone erosion to environmental conditions. With these correction factors applied, distinct temporal trends can be identified in both Oxford and Swansea, specifically a rapid increase in atmospheric SO2 in the early 20th century, a distinct dip in levels during the 1940s and a dramatic rise in the 1950s. In addition, there is a clear urban/rural difference in derived SO2 levels, with levels in urban Oxford being significantly higher than those in rural Oxford throughout the period of data availability. The significance of industrial activity is clearly illustrated by the very high levels of derived SO2 in Swansea throughout the early to mid 20th century.
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
期刊最新文献
Value Capture by Companies of Different Ownership, Tier, Size, and Distance to Market: A Cross‐Sectoral Analysis “A canary is supposed to sit in a cage and look at someone else’s happiness”: Domestic rewilding in fin‐de‐siècle st. petersburg Rewilding: An emotional nature Towards a critical geopolitics of China‐US rivalry: Pericentricity, Regional Conflicts and Transnational Connections Cities of neurodiversity: New directions for an urban geography of neurodiversity
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1