Equilibrium simulation and driving factors of dissolved oxygen in a shallow eutrophic Inner Mongolian lake (UL) during open-water period. Issue 6 (27th May 2022)

• Record Type: Journal Article
• Authors: Zhang, Fan; Shi, Xiaohong; Zhao, Shengnan; Arvola, Lauri; Huotari, Jussi; Hao, Ruonan
• Is Part Of: Water Supply. Volume 22:Issue 6(2022)
• Page Start: 6013
• Page End: 6031
• Publication Date: 2022-05-27
• Subjects: dissolved oxygen equilibrium -- model simulation -- online monitoring -- open-water period -- shallow eutrophic lakes
• DOI: 10.2166/ws.2022.217
• Languages: English
• ISSNs: 1606-9749

Abstract

Abstract: A water quality monitoring buoy installed in the center of the eutrophic shallow lake Ulansuhai was used to explore the dissolved oxygen (DO) balance. A revised DO model for shallow eutrophic lakes was applied to identify trends in the lake's DO content during the non-frozen period and determine the equilibrium relationship of DO in the water body. The coefficient of determination and the Nash efficiency of the model proved the feasibility of the model. The main drivers affecting the DO balance of the lake were photosynthesis, aeration and the lateral movements of oxygen-rich water, which accounted for 49.28, 14.72 and 36%, respectively, whereas respiration and sediment oxygen consumption, on the other hand, accounted for 1.56 and 98.44%, respectively. These findings suggest that photosynthesis and sediment oxygen consumption dominate the DO balance in eutrophic shallow lakes. A trend analysis of the average oxygen production and consumption rates indicated a maximum of 0.22 mg/L·h for photosynthesis and 0.20 mg/L·h for sediment oxygen consumption. A correlation analysis showed that water temperature was involved in changing the DO level of the lake mainly by affecting the oxygen consumption process. HIGHLIGHTS: Continuous DO data were obtained by an on-line monitoring instrument with high frequency, and the data were simulated. A model of DO in a shallow water eutrophication lake is improved and successfully applied to typical lakes in the study area. The main driving factors of DO were found out and their variation range was determined.