利用光学遥感技术监测城市供水水源水质

Bing Zhang, Q. Shen, Junsheng Li
{"title":"利用光学遥感技术监测城市供水水源水质","authors":"Bing Zhang, Q. Shen, Junsheng Li","doi":"10.1109/URS.2009.5137559","DOIUrl":null,"url":null,"abstract":"Remote sensing monitors water quality information with wide coverage to monitor spatial change of water bodies easily. Landsat TM has high spatial resolution of 30 meters to monitor details of water bodies. MODIS has its advantage with frequent return visits to monitor algae blooms. Lake Taihu is the third largest freshwater lake in China with cyanophytes blooms annually, which dominates the water sources of Wuxi and Suzhou. The pollution of Taihu Lake has become more and more serious, which leads to contaminated drinking water in Wuxi and Suzhou city. This paper applies 250-meter MODIS level 1B images and Landsat-5 TM images to detect algae blooms, also uses a simplified bio-optical model to estimate concentration of chlorophyll-a in Lake Taihu. The results showed the distribution of algae blooms and chlorophyll a concentration in Lake Taihu at 29th July to 1st August of 2006. The algae blooms often appear at the north and the west of Lake Taihu, which agree with the actual situation. The chlorophyll-a concentrations estimated from MODIS and TM imagery are in appropriate value range in Lake Taihu in summer. The relative errors between in-situ measured and estimated chlorophyll-a concentrations are less than 30%. This study could be helpful to monitor water quality with remote sensing imagery just having red and near-infrared channels such as 250-meter MODIS imagery.","PeriodicalId":154334,"journal":{"name":"2009 Joint Urban Remote Sensing Event","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Monitoring water quality of urban water supply sources using optical remote sensing\",\"authors\":\"Bing Zhang, Q. Shen, Junsheng Li\",\"doi\":\"10.1109/URS.2009.5137559\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Remote sensing monitors water quality information with wide coverage to monitor spatial change of water bodies easily. Landsat TM has high spatial resolution of 30 meters to monitor details of water bodies. MODIS has its advantage with frequent return visits to monitor algae blooms. Lake Taihu is the third largest freshwater lake in China with cyanophytes blooms annually, which dominates the water sources of Wuxi and Suzhou. The pollution of Taihu Lake has become more and more serious, which leads to contaminated drinking water in Wuxi and Suzhou city. This paper applies 250-meter MODIS level 1B images and Landsat-5 TM images to detect algae blooms, also uses a simplified bio-optical model to estimate concentration of chlorophyll-a in Lake Taihu. The results showed the distribution of algae blooms and chlorophyll a concentration in Lake Taihu at 29th July to 1st August of 2006. The algae blooms often appear at the north and the west of Lake Taihu, which agree with the actual situation. The chlorophyll-a concentrations estimated from MODIS and TM imagery are in appropriate value range in Lake Taihu in summer. The relative errors between in-situ measured and estimated chlorophyll-a concentrations are less than 30%. This study could be helpful to monitor water quality with remote sensing imagery just having red and near-infrared channels such as 250-meter MODIS imagery.\",\"PeriodicalId\":154334,\"journal\":{\"name\":\"2009 Joint Urban Remote Sensing Event\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-05-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Joint Urban Remote Sensing Event\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/URS.2009.5137559\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Joint Urban Remote Sensing Event","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/URS.2009.5137559","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

遥感监测水质信息覆盖面广,便于监测水体的空间变化。Landsat TM具有30米的高空间分辨率,可监测水体细节。MODIS的优点是可以频繁地回访监测藻类繁殖。太湖是中国第三大淡水湖,每年都有蓝藻繁殖,是无锡和苏州的主要水源。太湖污染日益严重,导致无锡、苏州等城市的饮用水受到污染。本文利用250米MODIS 1B级影像和Landsat-5 TM影像进行了藻华探测,并采用简化的生物光学模型估算了太湖叶绿素-a浓度。结果显示了2006年7月29日至8月1日太湖水体的藻华分布及叶绿素a浓度。藻华多出现在太湖北部和西部,与实际情况相符。利用MODIS和TM影像估算的太湖夏季叶绿素a浓度处于适宜的值范围。原位测量的叶绿素-a浓度与估计值的相对误差小于30%。本研究可为250米MODIS影像等仅具有红、近红外通道的遥感影像监测水质提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Monitoring water quality of urban water supply sources using optical remote sensing
Remote sensing monitors water quality information with wide coverage to monitor spatial change of water bodies easily. Landsat TM has high spatial resolution of 30 meters to monitor details of water bodies. MODIS has its advantage with frequent return visits to monitor algae blooms. Lake Taihu is the third largest freshwater lake in China with cyanophytes blooms annually, which dominates the water sources of Wuxi and Suzhou. The pollution of Taihu Lake has become more and more serious, which leads to contaminated drinking water in Wuxi and Suzhou city. This paper applies 250-meter MODIS level 1B images and Landsat-5 TM images to detect algae blooms, also uses a simplified bio-optical model to estimate concentration of chlorophyll-a in Lake Taihu. The results showed the distribution of algae blooms and chlorophyll a concentration in Lake Taihu at 29th July to 1st August of 2006. The algae blooms often appear at the north and the west of Lake Taihu, which agree with the actual situation. The chlorophyll-a concentrations estimated from MODIS and TM imagery are in appropriate value range in Lake Taihu in summer. The relative errors between in-situ measured and estimated chlorophyll-a concentrations are less than 30%. This study could be helpful to monitor water quality with remote sensing imagery just having red and near-infrared channels such as 250-meter MODIS imagery.
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