基于 HJ CCD 的杭州湾海域水质评价

摘要

Objective]Based on HJ CCD imagery,retrieval algorithms of water quality parame﹣ters for Hangzhou Bay were appropriately chosen to establish remote sensing water quality as﹣sessment method.[Methods]The worst factor discriminance,the mean method,the Nemerow index method and the fuzzy comprehensive evaluation method are analyzed by using remote sensing inversion results of CDOM,SD,Chl a and TP.[Results]Compared with the other three methods,the fuzzy comprehensive evaluation method highlights HJ CCD high spatial resolution characteristics and gives more complete assessment of different water quality categories in Han﹣gzhou Bay and its adjacent waters,and the results match well with the data released by the State Oceanic Administration.[Conclusion ]By using appropriate water quality assessment method,high-resolution HJ CCD imagery has an advantage for routine assessment of the water quality in coastal waters.%【目的】筛选适用于杭州湾海域卫星遥感反演算法的水质参数，探明基于 HJ CCD 的研究区遥感水质评价方法。【方法】利用有色可溶性有机物(CDOM)、透明度(SD)、叶绿素 a(Chl a)及总磷(TP)的遥感定量反演结果，分析最差因子判别法、均值法、内梅罗指数法及模糊综合评价法的优劣。【结果】与其它3种评价方法相比，模糊综合评价法突出了 HJ CCD 高空间分辨率特性，较为完整地评价出杭州湾海域水质类别，与海洋环境状况公报中的评价结果具有较好的一致性。【结论】选用恰当的水质评价方法，高分辨率的环境卫星可以用于我国近岸海域水质日常评价分析。