Estimation of water quality dynamics under long-term anoxic state in organically polluted reservoir by field observations and improved ecosystem model
Estimation of water quality dynamics under long-term anoxic state in organically polluted reservoir by field observations and improved ecosystem model
复制标题
现场观测和改进生态系统模型估算有机污染水库长期缺氧状态下的水质动态
DOI：
10.1007/s10333-018-0659-6
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发表时间：
2018
影响因子：
2.2
通讯作者：
Kazuaki Hiramatsu and Toshinori Tabata
中科院分区：
文献类型：
--
作者：
Tran Tuan Thach;Masayoshi Harada;Ayaka Oniki;Kazuaki Hiramatsu and Toshinori Tabata
在有机污染显著的封闭水体中，由于热分层导致的缺氧导致氮和磷从底部沉积物中洗脱并产生硫化物，导致水环境进一步恶化。本研究以长期缺氧的有机污染水库为研究对象，通过实地观测溶解氧、氮、磷和硫化物的季节性垂直剖面变化和基于厌氧生化过程的生态系统模型构建水质预测模型，研究了水库的水质动态变化。铁还原和硫酸盐还原同时发生，这是由于缺氧后硝化细菌对硝酸盐氮的还原作用，铁还原成为氨氮和磷素磷增加的主要因素。当缺氧开始发生时，底质表面的氧化还原状态极大地影响了厌氧条件下逐渐还原反应所引起的水质动态。此外，通过对传统模型的修正，提高了氨氮、磷磷和硫化物的计算精度。改进后的生态系统模型充分反映了厌氧条件下的水质特征。该水质预测模型可用于有机污染水体水环境动态的定量评价。该模型可以在未来进一步发展，以解决长期缺氧所造成的问题。
In closed water bodies with significant organic pollution, anoxification due to thermal stratification leads to the elution of nitrogen and phosphorus from the bottom sediment and the generation of sulfide, resulting in further degradation of the water environment. This study focuses on the water quality dynamics in an organically polluted reservoir exhibiting long-term anoxification using two approaches: (1) field observations of seasonal changes in vertical profiles of dissolved oxygen, nitrogen, phosphorus, and sulfide and (2) construction of a water quality prediction model based on an ecosystem model incorporated with anaerobic biochemical processes. Iron and sulfate reduction occurred simultaneously because nitrate–nitrogen was reduced by denitrifying bacteria after the anoxification, and iron reduction became the main factor of the increase in ammonium–nitrogen and phosphate–phosphorus. The redox state of the bottom sediment surface, when anoxification began to occur, greatly affected the water quality dynamics caused by gradual reductive reactions under anaerobic conditions. Furthermore, the calculation accuracy of ammonium–nitrogen, phosphate–phosphorus, and sulfide was highly improved by modifying the conventional model based on the field observations. The characteristics of water quality under anaerobic conditions were sufficiently reflected in the upgraded ecosystem model. The proposed water quality prediction model could be used to quantitatively estimate the water environment dynamics in organically polluted water bodies. The model could be developed further in the future to solve the problems caused by long-term anoxification.
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