安徽农业科学2017，Vol.45Issue(27)：98-102,167,6.
天津于桥水库流域河流表层沉积物中碳· 氮· 磷分布及污染评价
Distribution Characteristics of Carbon, Nitrogen and Phosphorous of River Surface and Pollution Status Evaluation of Sediments in Yuqiao Reservoir Basin, Tianjin
吕豪朋 1申丽娜1
作者信息
- 1. 天津师范大学城市与环境科学学院,天津300387
- 折叠
摘要
Abstract
The contents of total organic carbon, total nitrogen and phosphorus in the sediment samples of 33 rivers in the watershed were measured,the distribution characteristics of carbon, nitrogen and phosphorus in sediment and the correlation between the three were analyzed, and the pollution status of river surface sediments in Yuqiao Reservoir Basin was evaluated.The results showed that the average content of TOC in the surface sediments of the Yuqiao Reservoir Basin was 0.99%, the average content of TN was 0.15%, and the average content of TP was 1904.93 mg/kg.Correlation analysis showed that the sediments of TOC and TN was significantly positive correlation (R2 =0.794), TOC and the proportion of grassland area was significantly positively correlated, R2 was 0.685; there was a positive correlation between TN and grass-land area ratio (R2 =0.392).TP and various types of land use have no correlation, but OP and Fe/Al-P and the urban area proportion was significantly positively correlated, R2 were 0.664 and 0.698 respectively, and the forest area ratio had a significant negative correlation, R2 of-0.472 and -0.403 respectively.The organic index and organic nitrogen evaluation results showed that organic index of 48.5% sampling points was in theⅠ class level, there were 39.4% and 48.5% samples of organic nitrogen in Ⅲ and IV.The result showed that pollution lev-el of Yuqiao reservoir sediment basin river surface organic index as a whole was still clean and above the level of the organic pollution was less , and organic nitrogen pollution the basin was relatively serious.关键词
于桥水库流域/沉积物/有机碳/氮/磷/污染状况Key words
Yuqiao Reservoir Watershed/Sediment/Organic carbon/Nitrogen/Phosphorus/Pollution status分类
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吕豪朋,申丽娜..天津于桥水库流域河流表层沉积物中碳· 氮· 磷分布及污染评价[J].安徽农业科学,2017,45(27):98-102,167,6.
