Characteristics of three dimensional fluorescence spectra and its correlation with water quality in Jinghe and Bortala River from Lake Ebinur's major inflow tributaries, Xinjiang
Water quality potential factor and chromophoric dissolved organic matter fluorescence in Lake Ebinur and its major inflow tributaries were analyzed. Results indicated that three dimensional fluorescence spectra (EEM) of Jinghe River and Bortala River showed that all sampled water bodies contained C1(260/420 nm) humic organic matter, C2(240, 240/490 nm) and C4(260, 270/530 nm) kind of humus, and C3(220/280, 300/450 nm) protein like, which was based on PARAFAC analysis method. In order to further understand the characteristics of DOM components, it was found that protein organic matter was the highest and fulvic acid was the lowest in Jinghe River and Bortala River, based on FRI analysis and the regional standards related to water quality and fluorescence. Among the correlation coefficients of water quality parameters and fluorescence indexes, biological index (BIX) and total nitrogen (TN) concentration, humification index (HIX) and ammonium nitrogen (NH4+-N) were high in Lake Ebinur's major inflow tributaries: the correlation coefficients were 0.831 and 0.684, at P<0.01 significant level, respectively. Correlation between HIX and TN concentration was 0.604 at P<0.05 significant level. The water quality parameters and the fluorescence indexes showed a three fitting relationships, while the HIX-NH4+-N fitting effect is best with the correlation coefficient of 0.908. The second one is the BIX-TN with the correlation coefficient of 0.844. The results of this work can provide scientific support for the water quality management and restoration in this area.
Hupo Kexue/Journal of Lake Sciences
Zhang, H., Zhang, F., Li, Z., Abduwasit, G., Kung, H., Ren, Y., & Chen, Y. (2017). Characteristics of three dimensional fluorescence spectra and its correlation with water quality in Jinghe and Bortala River from Lake Ebinur's major inflow tributaries, Xinjiang. Hupo Kexue/Journal of Lake Sciences, 29 (5), 1112-1120. https://doi.org/10.18307/2017.0509