Legacy contributions to diffuse water pollution: Data-driven multi-catchment quantification for nutrients and carbon

被引:5
|
作者
Cantoni, Jacopo [1 ]
Kalantari, Zahra [1 ,2 ]
Destouni, Georgia [1 ]
机构
[1] Stockholm Univ, Dept Phys Geog, SE-10691 Stockholm, Sweden
[2] KTH Royal Inst Technol, Dept Sustainable Dev, Environm Sci & Engn, SE-10044 Stockholm, Sweden
基金
瑞典研究理事会;
关键词
Legacy sources; Eutrophication; Water browning; Streams; Groundwater; Land use; QUALITY; SUBSURFACE; PHOSPHORUS; TRANSPORT; IDENTIFY; NITROGEN; SURFACE; SCALE; LAKES;
D O I
10.1016/j.scitotenv.2023.163092
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Legacy pollutants are increasingly proposed as possible reasons for widespread failures to improve water quality, de -spite the implementation of stricter regulations and mitigation measures. This study investigates this possibility, using multi-catchment data and relatively simple, yet mechanistically-based, source distinction relationships between water discharges and chemical concentrations and loads. The relationships are tested and supported by the available catch -ment data. They show dominant legacy contributions for total nitrogen (TN), total phosphorus (TP) and total organic carbon (TOC) across catchment locations and scales, from local to country-wide around Sweden. Consistently across the study catchments, close relationships are found between the legacy concentrations of TN and TOC and the land shares of agriculture and of the sum of agriculture and forests, respectively. The legacy distinction and quantification capabilities provided by the data-driven approach of this study could guide more effective pollution mitigation and should be tested in further research for other chemicals and various sites around the world.
引用
收藏
页数:10
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