School of Environmental Studies, China University of Geosciences, Wuhan, 430074, Hubei, China.
State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.
Environ Sci Pollut Res Int. 2022 Mar;29(11):16716-16726. doi: 10.1007/s11356-021-16938-0. Epub 2021 Oct 16.
Baiyangdian Lake (BYD), a large shallow lake in North China, has complex water landscape patterns that are underlies spatial variations in water quality. In this study, we collected 61 water samples from three water landscapes (reed littoral zones, fish ponds, and open water) and analyzed them for water quality parameters, such as dissolved organic carbon (DOC), total nitrogen (TN), and total phosphorus (TP). Water landscape distribution (determined using remote sensing imagery) was then used to assess correlations between water quality parameters and water landscape proportion in differently scaled buffer zones. There was substantial variation across all subareas, with TN and TP concentrations ranging from 0.90 to 4.10 mg/L and 0.06 to 0.18 mg/L, respectively, in class IV of water quality as a whole. Spatial variations in water quality were mainly caused by water landscape distribution and external nutrient inputs. There were negative correlations between DOC, TN, and TP concentrations and the area proportion of reed littoral zones in the 300 and 500 m buffers. In contrast, DOC, TN, and TP concentrations were significantly positively correlated with the area proportion of fish ponds in the 100 m buffer. Furthermore, compared with reed littoral zones, a lower ratio of nitrogen to phosphorus and a higher proportion of dissolved organic nitrogen and tyrosine-like proteins were found in fish ponds. These effects were mainly attributed to the development of internal sediment loadings due to nutrient exchange across the sediment-water interface. Therefore, dredging-based sediment removal from fish ponds should be considered to suppress internal phosphorus loading and accelerate recovery of the BYD ecosystem.
白洋淀（BYD）是中国北方的一个大型浅水湖泊，具有复杂的水景观格局，这些格局是水质空间变化的基础。本研究采集了来自三个水景观（芦苇滨岸带、鱼塘和开阔水域）的 61 个水样，并分析了水质参数，如溶解有机碳（DOC）、总氮（TN）和总磷（TP）。然后，利用遥感图像确定水景观分布，评估不同尺度缓冲区中水质参数与水景观比例之间的相关性。所有亚区都有很大的变化，TN 和 TP 浓度在整个 IV 类水质范围内分别为 0.90 至 4.10mg/L 和 0.06 至 0.18mg/L。水质的空间变化主要是由水景观分布和外部养分输入引起的。在 300 和 500m 缓冲区中，DOC、TN 和 TP 浓度与芦苇滨岸带的面积比例呈负相关。相反，在 100m 缓冲区中，DOC、TN 和 TP 浓度与鱼塘的面积比例呈显著正相关。此外，与芦苇滨岸带相比，鱼塘中氮磷比较低，溶解有机氮和酪氨酸样蛋白的比例较高。这些影响主要归因于由于营养物质在沉积物-水界面的交换而导致内部沉积物负荷的发展。因此，应考虑从鱼塘中挖掘底泥来抑制内部磷负荷，加速白洋淀生态系统的恢复。
