在公众对水环境污染问题日益关注的背景下，景观格局变化的水环境效应研究已经成为资源环境领域的研究热点。虽然很多学者（主要基于统计分析方法）对景观格局和水质关系（以淡水水体为主）研究做了大量研究，但研究结论各种各样有时大相径庭，这可能与研究方法（没有考虑数据序列的自相关性和时滞效应）不够科学、景观格局指标选择不当和研究尺度不一致有关。基于非点源污染过程的景观格局指标的上游流域景观格局和近海水质关系的时滞效应和尺度依赖性研究至今尚未发现。本研究利用中国渤海6个近岸生态监控区的15年长期水质监测数据和上游流域不同尺度上的景观格局动态分析数据，通过基于RUSLE模型的陆源氮污染负荷模型构造反映非点源污染景观过程的景观格局指标，借助滑动平均自相关（ARIMA）模型研究不同景观格局指数和近海氮类水质指标之间的相关性和滞后效应以及其尺度依赖性。研究成果有望为海陆统筹治理近海富营养化提供技术支持.

In the context of increased public concern of water pollution issues and rapid land cover/land use change, the water environmental consequences of landscape pattern changesn have become a hot spot of resources and environmental sciences. In spite of numerous studies (mainly based on statistical analysis) on landscape pattern-water quality (mainly dealing with inland water bodies), the research results are inconsistent and vary greatly. This is perhaps attibuted to the problems with research method( no consideration of serial correlation with time series data and time lag effects), landscape metrics ( no link between landscape pattern and ecological processes of interest) selection and scale issue. the scale-dependency and time lag effects of landscape pattern and water relation based on landscape metrics linking non-point pollution process is rarely investigated, espcially in coastal and marine zones where marine eutrophication is greatly concerned. This project uses 2004-2018 Nitrogen related water quality data for six offshore ecological monitoring zones in Bohai Sea and landscape pattern datas for the upstream catchments for these six ecological monitoring zones to investigate how landscape pattern changes affect marine water quality related to eutrophication by means of ARIMA model based regression analysis and cross-correlation analysis and determine the time lags between landscape pattern change and water quality dynamics. In addition, the way how landscape pattern affects marien eutrophication vary with spatial scales (including extent and resolution or grain) is also inverstigated in thjs projiect. the research results are expected to provide scientific foundation for marine eutrophication control by way of upstream landscape pattern optimization and provide a good reference for landscape pattern and ecological processed coupling.