基于地面实测光谱的太湖水体富营养化水平估算

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基于地面实测光谱的太湖水体富营养化水平估算 全文下载 焦红波，查勇，李云梅，黄家柱，韦玉春 （南京师范大学地理科学学院， 南京 210097） 摘要：富营养化指数是评价水体污染情况的一个重要的综合性指标.通过对高光谱遥感数据和水体富营养化指数的分析，确立了反演水体富营养化水平的高光谱敏感波段，进而用选择的敏感波段和波段组合来建立模型.通过对几个模型的比较，选出了较为理想的估算模型.最后对模型进行精度分析，认为该模型具有一定的可靠性和实用性.从而确定了直接由高光谱遥感数据监测水体富营养化水平的可能性，为实现由高光谱遥感数据开展大范围的水质调查奠定了一定的理论基础. 关键词：太湖；富营养化水平；高光谱遥感 参考文献 [1]浦瑞良.高光谱遥感及其应用.北京：高等教育出版社,2000:3. [2]Hoogenboom H J, DekkerA G, Althuis I J A. Simulation of AVIRIS sensitivity for detecting Chlorophyll over coastal and inland waters.Remote Sens Environ,1998,65: 333-340. [3]Frater R N. Hyperspectral remote sensing of turbidity and chlorophyll?a among Nebraska Sand Hills lakes. Int J Remote Sensing, 1998,19(8):1579-1589. [4]Binding C E, Bowers D G, Mitchelson?Jacob EG. An algorithm for the retrieval of suspended sediment concentrations in the Irish Sea from sea WiFS Ocean color satellite imagery. Int J Remote Sensing, 2003,24 (19): 3791-3806. [5]Dekker A G, Vos R J, Peters S W M. Comparison of remote sensing data, model results and in situ data for total suspended matter (TSM) in the southern Frisian lakes. The Science of the Total Environment, 2001,268: 197-214. [6]马荣华,戴锦芳.结合Landsat ETM与实测光谱估测太湖叶绿素及悬浮物含量.湖泊科学,2005,17(2):97-103. [7]Thiemann S, Kaufmann H. Determination of chlorophyll content and trophic state of lakes using field spectrometer and IRS-IC satellite data in the Mechlenburg lake district, Germany. Remote Sensing of Environment, 2000,73:227-235. [8]Chen L. A study of applying genetic programming to reservoir trophic state evaluation using remote sensor data. Int J Remote Sensing, 2003,24(11): 2265-2275. [9]张海林,何报寅,丁国平.武汉湖泊富营养化遥感调查与评价.长江流域资源与环境,2002,11(1):36-39. [10] 唐军武，田国良等.水体光谱测量与分析Ⅰ：水面以上测量法.遥感学报， 2004,8(1):37-44. [11] 舒金华.我国主要湖泊富营养化程度的评价.海洋与湖沼, 1993,24(6):616-619. [12] 李祚泳，张辉军.我国若干湖泊水库的营养状态指数TSIC及其各参数的关系.环境科学学报，1993,13(4):391-397. [13] 黄玉瑶.内陆水域污染生态学——原理与方法.北京：科学出版社,2001:184. [14] Http://www.tba.gov.cn/wqinform.asp [15] 李素菊，吴倩,王学军等.巢湖浮游植物叶绿素含量与反射光谱特征的关系.湖泊科学，2002,14(3):228-234. [16] Gitelson A. The peak near 700nm on radiance spectra of algae and water：relationships of its magnitude and position with chlorophyll. Int J Remote Sensing,1993,13(17):3367-3373. [17] Pulliainen J, Kallio K, Eloheimo K. A semi?operative approach to lake water quality retrieval from remote sensing data. The Science of the Total Environment, 2001,268:79-93.