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Updated: Jan 14, 2026

Understanding Dissolved Organic Matter Biogeochemistry Through In Situ Nutrient Manipulations in Stream Ecosystems
Published on: October 29, 2016
Robust data-driven approach evolution for multi-factor driving effect understanding of nutrient loading variations at
Xizhi Nong1, Zhongan Li2, Lihua Chen2
1College of Civil Engineering and Architecture, Guangxi University, Nanning 530004, China; State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China.
Abstract:
Identifying the nutrient driving factors and pathways of reservoirs in the water source area from the basin scale is of great significance for the safety management of water quality. In this study, a new comprehensive framework based on the self-organizing map algorithm, mantel's test, and partial least squares structural equation model was proposed to identify the synergistic effects of meteorological (ME), economic (EC), and water quality (WQ) parameters on nitrogen loading (NL) and phosphorus loading (PL). This framework can integrate information from multiple sources to comprehensively evaluate nutritional status and was validated in a case study of the Danjiangkou Reservoir (DJKR) in China, the largest artificial lake in Asia. Data were collected monthly from 16 tributaries of DJKR from 2017 to 2022. The results show that the NL (67.90 %) and PL (80.20 %) of DJKR mainly come from the Hanjiang River, whereas Shending and Si River show high nitrogen and phosphorus concentrations. Therefore, targeted management and stricter upstream control are needed to alleviate the pollution problem. NL and PL are mainly affected by ME (0.3-0.77) and EC (0.20-0.38). ME not only indirectly affects NL and PL through EC, but also directly affects NL and PL (0.52-0.78), and EC directly affects NL and PL (0.27-0.32). WQ have no effect on NL and PL in all areas. The research results emphasize the importance of considering multi-factor coupling in mid-scale basin management and provide an insightful perspective and method for pollution prevention and water quality management.
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