Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, 73 East Beijing Road, Nanjing 210008, China.
Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, 73 East Beijing Road, Nanjing 210008, China.
Sci Total Environ. 2016 Aug 15;562:946-952. doi: 10.1016/j.scitotenv.2016.04.068. Epub 2016 May 3.
Phosphorus (P) export from lowland polders has caused severe water pollution. Numerical models are an important resource that help water managers control P export. This study coupled three models, i.e., Phosphorus Dynamic model for Polders (PDP), Integrated Catchments model of Phosphorus dynamics (INCA-P) and Universal Soil Loss Equation (USLE), to describe the P dynamics in polders. Based on the coupled models and a dataset collected from Polder Jian in China, sensitivity analysis were carried out to analyze the cause-effect relationships between environmental factors and P export from Polder Jian. The sensitivity analysis results showed that P export from Polder Jian were strongly affected by air temperature, precipitation and fertilization. Proper fertilization management should be a strategic priority for reducing P export from Polder Jian. This study demonstrated the success of model coupling, and its application in investigating potential strategies to support pollution control in polder systems.
低地圩区的磷（P）输出导致了严重的水污染。数值模型是帮助水资源管理者控制磷输出的重要资源。本研究将三个模型耦合在一起，即圩区磷动力模型（PDP）、磷动力学综合集水区模型（INCA-P）和通用土壤流失方程（USLE），以描述圩区的磷动态。基于耦合模型和从中国 Jian 圩区收集的数据集，进行了敏感性分析，以分析环境因素与 Jian 圩区磷输出之间的因果关系。敏感性分析结果表明，Jian 圩区的磷输出受气温、降水和施肥的强烈影响。适当的施肥管理应成为减少 Jian 圩区磷输出的战略重点。本研究展示了模型耦合的成功，以及其在调查支持圩区系统污染控制的潜在策略中的应用。
