环境科学                        
                
                                
                        
                            水生生态系统                        
                
                                
                        
                            反硝化                        
                
                                
                        
                            水文学(农业)                        
                
                                
                        
                            污染                        
                
                                
                        
                            水质                        
                
                                
                        
                            生态系统                        
                
                                
                        
                            硝酸盐                        
                
                                
                        
                            营养污染                        
                
                                
                        
                            氮气                        
                
                                
                        
                            环境工程                        
                
                                
                        
                            生态学                        
                
                                
                        
                            环境化学                        
                
                                
                        
                            化学                        
                
                                
                        
                            工程类                        
                
                                
                        
                            有机化学                        
                
                                
                        
                            岩土工程                        
                
                                
                        
                            生物                        
                
                        
                    
            作者
            
                Yongqiang Zhao,Yongqiu Xia,Chaopu Ti,Jun Shan,Bolun Li,Longlong Xia,Xiaoyuan Yan            
         
                    
        
    
            
        
                
            摘要
            
            Denitrification is the primary process that regulates the removal of bioavailable nitrogen (N) from aquatic ecosystems. Quantifying the capacity of N removal from aquatic systems can provide a scientific basis for establishing the relationship between N reduction and water quality objectives, quantifying pollution contributions from different sources, as well as recommending control measures. The Lake Taihu region in China has a dense river network and heavy N pollution; however, the capacity for permanent N removal by the river network is unknown. Here, we concurrently examined environmental factors and net N2 flux from sediments of two rivers in the Lake Taihu region between July 2012 and May 2013, using membrane inlet mass spectrometry, and then established a regression model incorporating the highly correlated factors to predict the N removal capacity of the river network in the region. To test the applicability of the regression model, 21 additional rivers surrounding Lake Taihu were sampled between July and December 2013. The results suggested that water nitrate concentrations are still the primary controlling factor for net denitrification even in this high N loading river network, probably due to multicollinearity of other relevant factors, and thus can be used to predict N removal from aquatic systems. Our established model accounted for 78% of the variability in the measured net N2 flux in these 21 rivers, and the total N removed through N2 production by the river network was estimated at 4 × 104 t yr–1, accounting for about 43% of the total aquatic N load to the river system. Our results indicate that the average total N content in the river water discharged into Lake Taihu would be around 5.9 mg of N L–1 in the current situation, far higher than the target concentration of 2 mg of N L–1, given the total N load and the N removal capacity. Therefore, a much stronger effort is required to control the N pollution of the surface water in the region.
         
            
 
                 
                
                    
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