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Empirical estimation of total phosphorus concentration in the mainstream of the Qiantang River in China using Landsat TM data

文献类型：期刊论文

作者Wu, Chunfa1,2,3; Wu, Jiaping1; Qi, Jiaguo4; Zhang, Lisu1; Huang, Huiqing1; Lou, Liping1; Chen, Yingxu1
刊名INTERNATIONAL JOURNAL OF REMOTE SENSING
出版日期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
ISSN号0143-1161
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
文献子类Article
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.
学科主题Remote Sensing ; Imaging Science & Photographic Technology
URL标识查看原文
WOS关键词THEMATIC MAPPER DATA ; WATER-QUALITY ; EUTROPHICATION MODEL ; SURFACE CHLOROPHYLL ; SECCHI DEPTH ; LAKE WATER ; NITROGEN ; IMAGERY ; PHYTOPLANKTON ; REFLECTANCE
WOS研究方向Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000277999100006
资助机构Department of Science and Technology, Zhejiang Province, China ; Zhejiang University ; National Aeronautics and Space Administration (NASA) ; NEESPI Sciences [NNG05GD49G]
公开日期2011-07-14
源URL[http://ir.yic.ac.cn/handle/133337/3690]  
专题烟台海岸带研究所_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.

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来源：烟台海岸带研究所

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