Total inorganic nitrogen content distribution pattern in estuary regionby means of hyperspectral remote sensing and water quality numericsimulation techniques

摘要

Quantitative analysis of the temporal and spatial distribution characteristics of coastal nutrient substances enables toadequately estimate the state of coastal marine environment and describe environmental change processes conditioned byanthropogenic forces. Remote sensing has the potential to provide synoptic information and has been somewhatsuccessful in monitoring nutrient properties at rivers and estuaries. So taking total inorganic nitrogen (TIN) as typicalnutrient monitoring index, Sheyang River estuary located in middle part of Jiangsu coastline, China was chosen for waterquality simulation and variation trend analysis. Six correlation coefficient matrixes were calculated by usingsynchronous TIN concentration and its corresponding normalized water surface reflectance data from 15 field samples.Results showed that band combination of 804 and 630nm with the form of pseudo-sediment parameter could get the bestcorrelation capacity and minimized reversion error. Based on this selected parameter, an inverse model was built for TINquantitative reversion. R2 coefficients reached 0.97 and 0.9972 in calibration and validation period respectively. Andthen the spatial distribution pattern of TIN in Sheyanghe River estuary was obtained using the inverse model viaHyperion hyperspectral remote sensing image. A coupled wave-tide-surge model and material transport and diffusionmodel were adopted for TIN concentration cross validation of the reversion precision exactly at river outlet. Comparisonresults indicated that these two dataset made a good consistency for TIN diffusive characters in Sheyang River estuarywith the R2 reached 0.6549. The magnitude of TIN concentration was also agreed fairly well.