| Literature DB >> 30599347 |
Wei Ouyang1, Xin Hao2, Li Wang2, Yixue Xu2, Mats Tysklind3, Xiang Gao2, Chunye Lin2.
Abstract
Sediment cores can reflect diffuse pollution history due to the accumulation of pollutants over time, therefore, the quantitative relationship between the sedimentation flux of pollutants and diffuse loads can identify the historical change. Sediment cores were collected from two river reaches in a small agricultural watershed (143 km2), and the total nitrogen (TN) and total phosphorus (TP) concentrations were determined. The sediments were dated using 210Pb isotope radioactivity and the TN and TP sedimentation flux was calculated with Constant Rate of Supply (CRS) and Constant Initial Concentration (CIC) models. Watershed loss loads were simulated using the Soil and Water Assessment Tool (SWAT) in the same temporal period. As the similar natural condition in the post-depositional period of sediments, a linear regression model was used to analyze the relationship between TN and TP sedimentation flux and the hindcast model data. The TP sedimentation flux showed a clear positive relationship with its simulated load (R2 = 0.600 and 0.664) using the CRS model, and better reflected long-term diffuse pollution loss dynamics than nitrogen. The impacts of land use change on diffuse pollution loading were identified with the combination of sedimentation flux from different reaches and watershed modeling. During the expansion of paddy land in the lower reach, the difference of TP sedimentation flux between upper and lower reaches narrowed, while gap of TN sedimentation flux increased. Base on the lateral correlations of two sections, the sediment concentration of TP was more reliable for the long term diffuse pollution assessment under land development.Entities:
Keywords: Land development; Non-point source pollution; Sediment geochemical; TN and TP; Vertical distribution
Year: 2018 PMID: 30599347 DOI: 10.1016/j.scitotenv.2018.12.367
Source DB: PubMed Journal: Sci Total Environ ISSN: 0048-9697 Impact factor: 7.963