Study on monitoring method of pollution range in scenic spots based on two-dimensional threshold method

IF 0.5 Q4 ENGINEERING, ENVIRONMENTAL
Yaqi Shi
{"title":"Study on monitoring method of pollution range in scenic spots based on two-dimensional threshold method","authors":"Yaqi Shi","doi":"10.1504/ijetm.2023.134324","DOIUrl":null,"url":null,"abstract":"In order to overcome the problem of low accuracy of monitoring threshold extraction and pollution range monitoring in traditional pollution range monitoring methods, a new pollution range monitoring method of scenic spots based on two-dimensional threshold method is proposed in this paper. Firstly, collect satellite remote sensing data of the pollution range of scenic spots. Secondly, based on the collected data, the two-dimensional threshold method is used to extract the pollution range change threshold of scenic spots. Finally, according to the threshold extraction results, the weight coefficient of pollution range change is calculated, and the pollution range monitoring function is constructed. The output result of the function is the final monitoring result. The experimental results show that compared with the traditional pollution range monitoring method, this method can accurately monitor the pollution range of scenic spots, and the monitoring accuracy is always maintained at more than 94%.","PeriodicalId":13984,"journal":{"name":"International Journal of Environmental Technology and Management","volume":"19 1","pages":"0"},"PeriodicalIF":0.5000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Environmental Technology and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijetm.2023.134324","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
引用次数: 0

Abstract

In order to overcome the problem of low accuracy of monitoring threshold extraction and pollution range monitoring in traditional pollution range monitoring methods, a new pollution range monitoring method of scenic spots based on two-dimensional threshold method is proposed in this paper. Firstly, collect satellite remote sensing data of the pollution range of scenic spots. Secondly, based on the collected data, the two-dimensional threshold method is used to extract the pollution range change threshold of scenic spots. Finally, according to the threshold extraction results, the weight coefficient of pollution range change is calculated, and the pollution range monitoring function is constructed. The output result of the function is the final monitoring result. The experimental results show that compared with the traditional pollution range monitoring method, this method can accurately monitor the pollution range of scenic spots, and the monitoring accuracy is always maintained at more than 94%.
基于二维阈值法的景区污染范围监测方法研究
为了克服传统污染范围监测方法中监测阈值提取和污染范围监测精度低的问题,本文提出了一种基于二维阈值法的景区污染范围监测新方法。首先,采集景区污染范围的卫星遥感数据。其次,在采集数据的基础上,采用二维阈值法提取景区污染范围变化阈值;最后,根据阈值提取结果,计算污染范围变化的权重系数,构建污染范围监测函数。该函数的输出结果就是最终的监控结果。实验结果表明,与传统的污染范围监测方法相比,该方法能够准确监测景区污染范围,监测精度始终保持在94%以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
1.00
自引率
0.00%
发文量
66
期刊介绍: IJETM is a refereed and authoritative source of information in the field of environmental technology and management. Together with its sister publications IJEP and IJGEnvI, it provides a comprehensive coverage of environmental issues. It deals with the shorter-term, covering both engineering/technical and management solutions.
×
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