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<p>Many methods are available for assessing nutrient pollution in lakes; however, few of them integrate sedimentary history in their evaluations. This study collected 32 undisturbed sediment samples from Lake Chaohu, China, to analyze the distribution patterns of total nitrogen (TN), organic matter (OM), and total phosphorus (TP). The distributions of TN, TP, and OM, and their relationships with sediment depth were investigated. The findings revealed an exponential relationship between sediment depth and the OM/TN ratio, effectively reflecting historical and current environmental dynamics in the lake. TP, as a relatively stable indicator, demonstrated its capacity to reveal trends in water quality based on its inherent characteristics. To enhance sediment pollution risk assessment, this study developed the ONP coefficient, which integrates the relationships among OM, TN, and TP. The ONP approach was analyzed in comparison with conventional nutrient risk assessment methods, highlighting its potential advantages. ONP values were categorized into five risk levels, from low to extreme, providing a structured framework for sediment pollution assessment. This approach offers a deeper understanding of historical and present lake water conditions, contributing to more informed and effective lake management strategies.</p>

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Nutrient Distribution and Interrelationships in Chaohu Lake, China: Insights from Sedimentary Records

  • 期刊论文

  • 发表日期：

    2025年3月23日

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  • Wenguang Luo,
  • Yangzhen Fan,
  • Jing Lu,
  • Senlin Zhu

摘要

Many methods are available for assessing nutrient pollution in lakes; however, few of them integrate sedimentary history in their evaluations. This study collected 32 undisturbed sediment samples from Lake Chaohu, China, to analyze the distribution patterns of total nitrogen (TN), organic matter (OM), and total phosphorus (TP). The distributions of TN, TP, and OM, and their relationships with sediment depth were investigated. The findings revealed an exponential relationship between sediment depth and the OM/TN ratio, effectively reflecting historical and current environmental dynamics in the lake. TP, as a relatively stable indicator, demonstrated its capacity to reveal trends in water quality based on its inherent characteristics. To enhance sediment pollution risk assessment, this study developed the ONP coefficient, which integrates the relationships among OM, TN, and TP. The ONP approach was analyzed in comparison with conventional nutrient risk assessment methods, highlighting its potential advantages. ONP values were categorized into five risk levels, from low to extreme, providing a structured framework for sediment pollution assessment. This approach offers a deeper understanding of historical and present lake water conditions, contributing to more informed and effective lake management strategies.