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从遥感光谱信号在海水中的传播特点出发，分析了目前应用遥感方法探测港湾初级生产力精度不高的原因；并从港湾初级生产力的生存条件着手，指出水交换状态是一种有效的可监测因素，可将其引入到港湾初级生产力的遥感探测模型中。提出了互补性参数的引入可能是模型改善的原因。通过作者在大亚湾的初步试验表明；水交换状态参数的引用，模型的误差从６．５％降为０．２６％，精度大大提高，从而证明了该方法的可行性和有效性。
Based on the propagation characteristics of remote sensing spectral signal in seawater, the reasons for the low accuracy of primary productivity in the estuary were analyzed by using remote sensing method. Based on the survival conditions of primary productivity in harbor, it was pointed out that water exchange status is an effective monitoring factor , Which can be introduced into the remote sensing model of primary productivity in the harbor. It is suggested that the introduction of complementary parameters may be the reason for the improvement of the model. According to the author’s preliminary experiment in Daya Bay, the error of the model is reduced from 6.5% to 0.26% with the reference of water exchange state parameters. The accuracy is greatly improved, which proves the feasibility and effectiveness of this method.