基于R软件在湖库营养化评价中的应用

Application of R Software-Based Assessment of Eutrophication in Lakes and Reservoirs

摘要: 湖北省素有“千湖之省”之称，湖库水生态对区域可持续发展至关重要。为科学评估其富营养化状况，本研究以湖北省33个典型湖库为对象，探讨基于R软件在湖库营养化评价中的应用。研究收集了湖库的水质监测数据(含总氮、总磷、叶绿素a等)，依据《地表水资源质量评价技术规程》(SL 395-2007)规定的指数法(EI)，运用R软件构建营养状态指数评价模型，开展多维数据处理与可视化分析。结果表明，33个典型湖库里有11个处于中营养状态，22个处于轻度富营养状态，中营养站点以水库型水体为主，轻度富营养站点以湖泊型水体为主。研究证实，R软件在营养化评价中具有计算高效、扩展性强和可视化直观等优势，可为湖北省湖库水环境精准治理、富营养化预警及生态保护提供科学依据与技术支撑。

Abstract: Hubei Province is renowned as the “Province of Thousand Lakes”, and the water ecology of lakes and reservoirs is vital to regional sustainable development. To scientifically assess their eutrophication status, this study selected 33 typical lakes and reservoirs in Hubei Province as research objects and explored the application of R software in eutrophication assessment. Water quality monitoring data (including total nitrogen, total phosphorus, chlorophyll-a, etc.) were collected. According to the index method (EI) specified in the Technical Regulations for Surface Water Resources Quality Assessment (SL 395-2007), R software was used to construct a trophic state index evaluation model and carry out multi-dimensional data processing and visualization analysis. The results showed that among the 33 typical lakes and reservoirs, 11 were in a mesotrophic state and 22 were in a mildly eutrophic state. The mesotrophic sites were mainly reservoirs, while the mildly eutrophic sites were mainly lakes. The study confirms that R software has advantages such as high computational efficiency, strong scalability, and intuitive visualization in eutrophication assessment, and can provide a scientific basis and technical support for precise water environment management, eutrophication early warning, and ecological protection of lakes and reservoirs in Hubei Province.