Parameters of monitoring Daya Bay water quality by remote sensing
QU Min1, XING Qian-guo2, PAN Wei-bin3
1. Sino Environment Engineering Co., Ltd. Guangzhou, 510300; 2. LED, South China Sea Institute of Oceanography, Chinese Academy of Science, Guangzhou, 510301; 3. School of Envrionmental Science and Engineering, South China University of Technology, Guangzhou, 510640, China
The coastal areas in China are experiencing rapid development, and the environment of coastal waters encountered huge impact.The traditional approaches of monitoring coastal water quality are not cost effiectively, and can not provide overall spatial information for certain coastal waters.Remote sensing is a novel approach to break these constraints.However, how to determine the monitoring parameters is a key to assess water quality by remote sensing.The situation of Daya Bay water environment was reviewed in this study, the optical or thermal actively characteristics of water quality parameters were also discussed, and it suggested that water temperature, suspended sediments and chlorophyll be the main parameters for assessing the water quality with the approach of remote sensing.Suspended sediments and chlorophyll can serve as surrogate contaminants which play an important role in remote sensing of water quality in inland lakes, rivers and coastal areas, chlorophyll was also proposed to be included in national water quality assessment system as a regular monitoring parameter.
瞿敏1, 邢前国2*, 潘伟斌3. 大亚湾水质遥感监测指标分析[J]. , 2006, 25(3): 262-265.
QU Min1, XING Qian-guo2, PAN Wei-bin3. Parameters of monitoring Daya Bay water quality by remote sensing. , 2006, 25(3): 262-265.
[1] International Ocean Color Coordinating Group.1998.Minimum Requirements for an Operational Ocean-Color Sensor for the Open Ocean[M].Sathyendranath,S.(ed,),Reports of the International Ocean-Color Coordinating Group,No.1,IOCCG,Dartmouth,Canada.
[2] International Ocean Color Coordinating Group.2000.Remote Sensing of Ocean Color in Coastal,and Other Opptically-Complex Waters[M].Sathyendranath,S.(ed,),Reports of the International Ocean-Color Coordinating Group,No.3,IOCCG,Dartmouth,Canada.
[3] Song X,Huang L,Zhang J,et al.2004.Variation of phytoplankton biomass and primary production in Daya Bay during spring and summer[J].Marine Pollution Bulletin,49(11-12):1036-1044.
[6] Tang D L,Kester D R,Wang Z,et al.2003.AVHRR satellite remote sensing and shipboard measurements of the thermal plume from the Daya Bay,nuclear power station,China[J].Remote Sensing of Environment,84(4):506-515.
[8] Ritchie J C,Cooper C M.2001.Remote sensing techniques for determining water quality:Application to TMDLs[A].In:TMDL Science Issues Conference[C],Water Environment Federation,Alexandria,VA.367-374.
[9] Koponen S,Pulliainen J,Kalliob K,et al.2002.Lake water quality classification with airborne hyperspectral spectrometer and simulated MERIS data[J].Remote Sensing of Environment,79(1):51-59.
[14] Chen X,Li Y S,Liu Z,et al.2004.Integration of multi-source data for water quality classification in the Pearl River estuary and its adjacent coastal waters of Hong Kong[J].Continental Shelf Research,24(16):1827-1843.
[15] Koponen S,Pulliainen J,Hallikainen M,et al.2000.Lake water quality classification with airborne multichannel spectrometer[A].IEEE International Geoscience and Remote Sensing Symposium (IGARSS)[C].Honolulu Hawaii USA,24-28 July 2000.Proceedings,6:2681-2683.
[16] Wang X J,Ma T.2001.Application of Remote Sensing Techniques in Monitoring and Assessing the Water Quality of Taihu Lake[J].Bulletin of Environmental Contamination and Toxicology,67(6):863-870.
[17] Wang Y,Xia H,Fu J,et al.2004.Water quality change in reservoirs of Shenzhen,China:detection using LANDSAT/TM data[J].Science of The Total Environment,328(1-3):195-206.
[21] Schott J R,Barsi J A,Nordgren B L,et al.2001.Calibration of Landsat thermal data and application to water resource studies[J].Remote Sensing of Environment,78(1-2):108-117.
[22] Zeng P,Chen H,Ao B,et al.2002.Transport of waste heat from a nuclear power plant into coastal water[J].Coastal Engineering,44(4):301-319.