Liu, C.; Qian, B.; Wang, L., and Miao, Q., 2019. Application of GIS and remote sensing in spatial distribution of nitrogen and phosphorus pollutant in urban rivers: A case study of Linyi Economic Development Zone, China. In: Guido-Aldana, P.A. and Mulahasan, S. (eds.), Advances in Water Resources and Exploration. Journal of Coastal Research, Special Issue No. 93, pp. 250–256. Coconut Creek (Florida), ISSN 0749-0208.
The objectives of this paper were to develop, evaluate and apply the remote sensing based on models of ammonia nitrogen (NH3-N) and total phosphorus (TP) for the Yi and Shu River in Linyi Economic Development Zone, Shandong Province, China. The scenes of Landsat-8 OLI satellite data were used to establish the relationship between the planetary reflectance and the measured data for five years (i.e., 2014-2017). The five spectral bands (i.e., Coastal, Blue, Green, Red, NIR) were used to obtain the most suitable modeling factor from the different band combinations. The liner regression analysis showed that red band both had highest correlation with NH3-N and TP in Yi and Shu River. For the Yi River, the co-efficient of determination (R2) of red band was 0.541 for the NH3-N model and 0.498 for the TP model. For the Shu River, the co-efficient of determination (R2) of red band was 0.643 for the NH3-N model and 0.565 for the TP model. The best-fit Models were validated with measured data and found that the errors of the NH3-N and TP models of the Yi River were 34.93% and 29.33%, respectively, and while 33.66% and 32.48% for the Shu River. With the models, the distribution diagrams of NH3-N and TP were generated, which can be assisted analysis of spatial and temporal for Yi and Shu River. The results showed that the established models could indicate the trend of NH3-N and TP in rivers that was validated by field visit. The proposed approach in this paper has satisfactory validity and practicability, thus could be reference for study on NH3-N and TP in water based on remote sensing.
