湿地关键带地下水中氮磷碳迁移转化的驱动机制与协同模式

湿地关键带是一个复杂的开放系统，是物质交换和能量传输的重要场所。氮磷碳循环及其迁移转化在湿地关键带十分活跃，其作用过程受多种影响因子制约。本立项以洞庭湖湿地为研究对象，针对湖水氮磷超标、农业面源污染及湿地退化等问题，研究地下水及关键带中氮磷碳循环和迁移转化关系至关重要。在研究区布设钻孔，采集土样、地下水和地表水样，通过现场和室内试验，测定氮磷碳赋存性态、总氮、总磷和碳含量、微生物特性及其它相关参数指标，研究其时空分布特征、演化规律，在物质交换和能量流动中提取驱动因子，研究影响因子驱动氮磷碳循环及迁移转化的作用机理，建立氮磷碳循环和迁移转化与驱动因子之间的量化关系，分析驱动因子敏感性，探讨多因子相互作用的协同机制，揭示多因子驱动氮磷碳循环与迁移转化的规律，然后建立地下水驱动氮磷碳迁移转化过程协同与联动耦合模型，预测湿地环境时空演化趋势，对增强湿地功能、保护生态环境和防控面源污染均有重要意义。

The wetland critical zone is a complex open system, it is an important place for material exchange and energy transmission. Nitrogen phosphorus carbon cycle and its migration and transformation are very active in the critical zone of wetland, and its action process is restricted by many factors. The project is taking Dongting Lake Wetland as the research object and mainly focuses on the exceeding N-P concentrations, agricultural non-point source pollution and wetland degradation, and so on. It is very important to study the circulation, migration and transformation of nitrogen, phosphorus and carbon in groundwater. The boreholes will be laid in the research area, soil, groundwater and surface water samples are collected to determine the occurrence of nitrogen, phosphorus and carbon, total nitrogen, total phosphorus and carbon content, microbial characteristics and other related indexes. Study on the temporal and spatial distribution characteristics and evolution of nitrogen, phosphorus and carbon, and the mechanism of groundwater on nitrogen, phosphorus and carbon cycle driving. The information of driving factors is extracted in the process of material flow and the energy flow. The relationship is established between groundwater driving factors and N-P-C cycle to study the sensitivity of driving factor, and to explore the synergistic mechanism of multi factor interaction and reveal the law of multi factor driving nitrogen phosphorus carbon cycle. And then, the establishment of groundwater driven nitrogen, phosphorus and carbon cycle of coordinated linkage and regulation coupling mathematical model, predict the evolution trend of wetland environment in time and space, it has great significance to enhance wetland function, protect the ecological environment and prevent non-point source pollution.