光谱学与光谱分析 |
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Monitoring Model and Temporal-Spatial Changes of Dissolved Oxygen Based on Remote Sensing: a Case Study in Huangpu River |
XIE Huan1,2,TONG Xiao-hua1*,QIU Yan-ling3,ZHANG Hong-en3,ZHANG Ya-lei3,ZHAO Jian-fu3 |
1. Department of Surveying and Geo-informatics,Tongji University,Shanghai 200092,China 2. Geomatics and Applications Laboratory,Liaoning Technical University,Fuxin 123000,China 3. State Key Laboratory of Pollution Control and Resource Reuse,Tongji University,Shanghai 200092,China |
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Abstract The concentration of dissolved oxygen (DO) is one of the most important quality indicators to reflect the water organic pollution. In the present paper,the typical water quality parameter in Huangpu River upper region,namely dissolved oxygen (DO),is chosen as the research object. Using ground hyperspectral remote sensing data,multispectral remote sensing data and in situ water quality monitoring data,the relation between the characteristic of water spectral reflectance and the concentration of DO is first analyzed. The result generated with the given monitoring methods indicates that the correlation between DO concentration and spectral reflectance at band 641 nm is the highest,while the logarithmic model using the ratio of Landsat5 TM band 3 to 4 as an independent variable has the highest correlation coefficient (0.829). The accuracy and the generality of the derived model are then tested,and the temporal-spatial changes of dissolved oxygen based on multi-temporal remote sensing imageries are further studied. The result shows that the DO model has a high accuracy,the temporal change characteristic of estimated DO is in consistency with that of measured ground data,and the DO concentration distribution derived from this model is also in accordance with the practical organic pollution distribution characters in this region.
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Received: 2006-04-08
Accepted: 2006-06-28
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Corresponding Authors:
TONG Xiao-hua
E-mail: tongxhtj@yeah.net
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Cite this article: |
XIE Huan,TONG Xiao-hua,QIU Yan-ling, et al. Monitoring Model and Temporal-Spatial Changes of Dissolved Oxygen Based on Remote Sensing: a Case Study in Huangpu River [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2007, 27(08): 1574-1579.
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URL: |
https://www.gpxygpfx.com/EN/Y2007/V27/I08/1574 |
[1] Stone W R. Review of Radio Science: 1999-2002. New York: A John. Wiley & Sons. INC.,2002. 519. [2] Conkringht M E,Gregg W W. International Journal of Remote Sensing,2003,24:969. [3] Alicia Vignolo,Alberto Pochettino,Daniel Cicerone. Journal of Environmental Management,2006,81: 429. [4] Dekker A G,Vos R J,Peters S W M. International Journal of Remote Sensing,2002,23:15. [5] Conghe S,Curtis E W,Karen C S,et al. Macomber S.A. Remote Sensing of Environment,2001,75(2):230. [6] Hu C M,Chen Z Q,Clayton T D,et al. Remote Sensing of Environment,2004,93: 423. [7] Koponen S,Pulliainen J,Kallio K,et al. Remote Sensing of Environment,2002,79(1):51. [8] Thiemann S,Kaufmann H. Remote Sensing of Environment,2000,73:227. [9] XIE Huan,TONG Xiao-hua(谢 欢,童小华). Remote Sensing Information(遥感信息),2006,(2): 67. [10] WANG Xiao-qin,WANG Qin-min,WU Qun-yong,et al (汪小钦,王钦敏,邬群勇,等). Journal of Remote Sensing(遥感学报),2003,7(1): 54. [11] Chen X L,Yok S L,Liu Z G,et al. Continental Shelf Research,2004,24(16): 1827. [12] LIU Tang-you,KUANG Ding-bo,YIN Qiu(刘堂友,匡定波,尹 球). Chinese Journal of Infrared and Millimeter Waves(红外与毫米波学报),2004,23(1): 11. [13] GE Hui-zhen(葛惠珍). Shanghai Environment Protection Education Centre(上海市环境保护宣传教育中心) May,1998. http://www.envir.com.cn/wp/6-5wp.asp. [14] LI Qing-shan,LI Yi-ting(李青山,李怡庭). The Practical Handbook for Water Environment Monitoring(水环境监测实用手册). Beijing: Published by China Waterpower Press(北京: 中国水利水电出版社),2003. [15] LIU Yan,WANG Jun(刘 岩,王 军). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2005,25(1): 133. [16] Kirk J T O. Light and Photosynthesis in Aquatic Ecosystems,2nd Edition. London: Combridge University Press,1994. [17] TANG Jun-wu,TIAN Guo-liang,WANG Xiao-yong,et al(唐军武,田国良,汪小勇,等). Journal of Remote Sensing(遥感学报),2004,8(1): 37. [18] WANG Xiao-yong,LI Tong-ji,TANG Jun-wu,et al(汪小勇,李铜基,唐军武,等). Ocean Technology(海洋技术),2004,23(2): 1. [19] WANG Ying,MO Jin-yuan(王 瑛,莫金垣). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2005,25(1): 124. [20] Lee Z,Carder K L,Steward R G,et al. Proceedings of SPIE,1996a,1996,2963: 160. [21] Mobley C D,Applied Opticss,1999,38: 7442. |
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