Empirical estimation of total phosphorus concentration in the mainstream of the Qiantang River in China using Landsat TM data | |
Wu, Chunfa1,2,3; Wu, Jiaping1; Qi, Jiaguo4; Zhang, Lisu1; Huang, Huiqing1; Lou, Liping1; Chen, Yingxu1 | |
发表期刊 | INTERNATIONAL JOURNAL OF REMOTE SENSING |
ISSN | 0143-1161 |
2010 | |
卷号 | 31期号:9页码:2309-2324 |
关键词 | Thematic Mapper Data Water-quality Eutrophication Model Surface Chlorophyll Secchi Depth Lake Water Nitrogen Imagery Phytoplankton Reflectance |
产权排序 | [Wu, Chunfa; Wu, Jiaping; Zhang, Lisu; Huang, Huiqing; Lou, Liping; Chen, Yingxu] Zhejiang Univ, Coll Environm & Nat Resources, Hangzhou 310029, Zhejiang, Peoples R China; [Wu, Chunfa] Chinese Acad Sci, Inst Soil Sci, Key Lab Soil Environm & Pollut Remediat, Nanjing 210008, Peoples R China; [Wu, Chunfa] Chinese Acad Sci, Yantai Inst Coastal Zone Res Sustainable Dev, Yantai 264003, Peoples R China; [Qi, Jiaguo] Michigan State Univ, Ctr Global Change & Earth Observat, E Lansing, MI 48823 USA |
通讯作者 | Wu, JP, Zhejiang Univ, Coll Environm & Nat Resources, Hangzhou 310029, Zhejiang, Peoples R China |
作者部门 | 滨海湿地实验室 |
英文摘要 | Eutrophication is a serious environmental problem in Qiantang River, the largest river in the Zhejiang Province of southeast China. Increased phosphorus concentration is thought to be the major cause of water eutrophication. The objective of this study was to develop an empirical remote sensing model using Landsat Thematic Mapper (TM) data to estimate phosphorus concentration and characterize the spatial variability of the phosphorus concentration in the mainstream of Qiantang River. Field water quality data were collected across a spatial gradient along the river and geospatially overlaid with Landsat satellite images. Various statistical regression models were tested to correlate phosphorus concentration with a combination of other water quality indicators and remotely sensed spectral reflectance, including Secchi depth (SD) and chlorophyll-a (Chl-a) concentration. The optimal regression model was subsequently used to map and characterize the spatial variability of the total phosphorus (TP) concentration in the mainstream of Qiantang River. The results suggest that spectral reflectance from the Landsat satellite is spatially and implicitly correlated with phosphorus concentration (R-2 = 0.77). The approach proved to be effective and has the potential to be applied over large areas for water quality monitoring.; Eutrophication is a serious environmental problem in Qiantang River, the largest river in the Zhejiang Province of southeast China. Increased phosphorus concentration is thought to be the major cause of water eutrophication. The objective of this study was to develop an empirical remote sensing model using Landsat Thematic Mapper (TM) data to estimate phosphorus concentration and characterize the spatial variability of the phosphorus concentration in the mainstream of Qiantang River. Field water quality data were collected across a spatial gradient along the river and geospatially overlaid with Landsat satellite images. Various statistical regression models were tested to correlate phosphorus concentration with a combination of other water quality indicators and remotely sensed spectral reflectance, including Secchi depth (SD) and chlorophyll-a (Chl-a) concentration. The optimal regression model was subsequently used to map and characterize the spatial variability of the total phosphorus (TP) concentration in the mainstream of Qiantang River. The results suggest that spectral reflectance from the Landsat satellite is spatially and implicitly correlated with phosphorus concentration (R(2) = 0.77). The approach proved to be effective and has the potential to be applied over large areas for water quality monitoring. |
文章类型 | Article |
资助机构 | Department of Science and Technology, Zhejiang Province, China ; Zhejiang University ; National Aeronautics and Space Administration (NASA) ; NEESPI Sciences [NNG05GD49G] |
收录类别 | SCI |
语种 | 英语 |
关键词[WOS] | THEMATIC MAPPER DATA ; WATER-QUALITY ; EUTROPHICATION MODEL ; SURFACE CHLOROPHYLL ; SECCHI DEPTH ; LAKE WATER ; NITROGEN ; IMAGERY ; PHYTOPLANKTON ; REFLECTANCE |
研究领域[WOS] | Remote Sensing ; Imaging Science & Photographic Technology |
WOS记录号 | WOS:000277999100006 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.yic.ac.cn/handle/133337/3689 |
专题 | 中国科学院海岸带环境过程与生态修复重点实验室_滨海湿地实验室 |
作者单位 | 1.Zhejiang Univ, Coll Environm & Nat Resources, Hangzhou 310029, Zhejiang, Peoples R China 2.Chinese Acad Sci, Inst Soil Sci, Key Lab Soil Environm & Pollut Remediat, Nanjing 210008, Peoples R China 3.Chinese Acad Sci, Yantai Inst Coastal Zone Res Sustainable Dev, Yantai 264003, Peoples R China 4.Michigan State Univ, Ctr Global Change & Earth Observat, E Lansing, MI 48823 USA |
推荐引用方式 GB/T 7714 | Wu, Chunfa,Wu, Jiaping,Qi, Jiaguo,et al. Empirical estimation of total phosphorus concentration in the mainstream of the Qiantang River in China using Landsat TM data[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2010,31(9):2309-2324. |
APA | Wu, Chunfa.,Wu, Jiaping.,Qi, Jiaguo.,Zhang, Lisu.,Huang, Huiqing.,...&Chen, Yingxu.(2010).Empirical estimation of total phosphorus concentration in the mainstream of the Qiantang River in China using Landsat TM data.INTERNATIONAL JOURNAL OF REMOTE SENSING,31(9),2309-2324. |
MLA | Wu, Chunfa,et al."Empirical estimation of total phosphorus concentration in the mainstream of the Qiantang River in China using Landsat TM data".INTERNATIONAL JOURNAL OF REMOTE SENSING 31.9(2010):2309-2324. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Empirical estimation(977KB) | 开放获取 | -- | 浏览 请求全文 |
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。
修改评论