摘要
水体叶绿素a含量和蓝藻密度是评价水质污染的主要参数,对监测水体蓝藻水华有重要意义。该文利用2008年11月10日和11日太湖水面实测光谱及FY-3A/MERSI,AQUA/MODIS卫星的波段响应函数,计算了卫星波段的水体表面等效反射率。水体实测光谱显示蓝藻污染提高了近红外波段的遥感反射率,在蓝光波段和绿光波段有明显的吸收谷和反射峰。根据这一原理,该文建立了近红外和红光波段的比值指数RI模型,成功反演了太湖水体叶绿素a含量(均方根误差分别为0.0174 mg·L^(-1)和0.0188 mg·L^(-1))和蓝藻密度(均方根误差分别为247.21×10~6L^(-1)和275.64×10~6L^(-1))。这一结果为分析太湖水面光学特性、水质污染状况提供了重要依据。
The chlorophyll-a and cyanobacterial density are important variables for the evaluation of water quality and thus important for red tide monitoring.An evaluation of spectral measurements is implemented for the estimation of chlorophyll-a(Chl-a) and cyanobacterial density in the Taihu Lake.There are 39 sample points over the Taihu Lake during the experiment from 10 to 12 November in 2008.For each sample point, measurements of spectral reflectance and water quality sampling are conducted.Observation shows that cyanobacterial affect water reflectance greatly,leading to an obvious absorption peak in the red while strong absorption in the blue and near-infrared bands.Spectral responses for points with little cyanophyte are similar to that of water reflectance.However,for the cyanobacterial points,spectral responses show the similar trend of vegetation to some extent.Besides,comparison between the reflectance obtained at nadir and at 45°departure indicates that the existence of cyanophytes has great effects on the visible and near infrared regions.This is because the increase of heterogeneity in water will increase the energy that can be acquired by the sensor.To investigate the operational application feasibilities for satellite remote sensing of water quality,equivalent reflectance based on FY-3A/MESRI and AQUA/MODIS band settings is derived using the spectral response functions.Comparison analysis indicates that the equivalent reflectance calculated from FY-3A/MESRI band settings is consistent to that of the AQUA/MODIS.Larger variations are observed for the cyanobacterial water indicating different sensitivity of these bands in water quality evaluation. Furthermore,the Ration Index(RI) model is used for the evaluation of water quality and high determination coefficients(RMS of 0.0174 mg·L^(-1) and 0.0188 mg·L^(-1) for Chl-a;247.21×10~6 L^(-1) and 275.64×10~6 L^(-1) for cyanobacterial density) are observed for chlorophyll-a and cyanobacterial density.An important meaning lies in the l
出处
《应用气象学报》
CSCD
北大核心
2010年第6期724-731,共8页
Journal of Applied Meteorological Science
基金
国家自然科学基金项目“基于风云三号数据的太湖蓝藻水华监测模型研究”(40801176/D010702)资助