Key Laboratory of Northwest Water Resource, Environment and Ecology, MOE, Xi'an University of Architecture and Technology, Xi'an, 710055, PR China; Shaanxi Key Laboratory of Environmental Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, PR China.
Key Laboratory of Northwest Water Resource, Environment and Ecology, MOE, Xi'an University of Architecture and Technology, Xi'an, 710055, PR China; Shaanxi Key Laboratory of Environmental Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, PR China.
Chemosphere. 2018 Nov;211:1123-1136. doi: 10.1016/j.chemosphere.2018.08.043. Epub 2018 Aug 14.
Zhoucun reservoir is one of the major water resources in Zao Zhuang city, northern China. The seasonal distribution of surface sediment denitrification rate and enhanced performance of denitrification via water-lifting aeration technology were explored using the acetylene-inhibition technique. Surface sediment denitrification rates ranged from 2.57 ± 1.32 to 923.90 ± 86.81 nmol N/(g dw·h), with the highest rates in November (ANOVA, p < 0.05) and significantly low rates in June, July, and August (ANOVA, p < 0.05), mainly because of the seasonal differences in nitrate concentration, water temperature, and sediment total nitrogen (STN). Meanwhile, the N/(N+NO) ratio (83.44-91.70% for the highest sediment denitrification period) indicated that N accounted for a majority of denitrification. Correlation analysis between various environmental factors and denitrification was conducted, and nitrate concentration, STN, low molecular weight organic carbon, the number of aerobic denitrifying bacteria, and the environmental parameters of oxidation-reduction potential (ORP), pH, electrical conductivity (EC), and chlorophyll a (Chl-a) presented significant relationships during the entire study period. On the basis of the multiple regression model, nitrate and low molecular weight organic carbon concentration were the most influential factors on denitrification variability. Moreover, the denitrification rates of the surface sediment clearly increased, from 5.28 to 13.22 nmol N/(g dw·h) to 1117.02-3129.47 nmol N/(g dw·h), which were higher than those in the non-operating year. This suggests that the denitrification in the sediment system could be enhanced in situ by water-lifting and aeration technology in the reservoir ecosystem.
周村水库是中国北方淄博市的主要水资源之一。本研究采用乙炔抑制技术,探讨了表层沉积物硝酸盐还原速率的季节性分布及提水曝气技术增强硝酸盐还原性能。表层沉积物硝酸盐还原速率范围为 2.57±1.32 至 923.90±86.81 nmol N/(g dw·h),其中 11 月速率最高(ANOVA,p<0.05),6、7 和 8 月速率显著较低(ANOVA,p<0.05),主要是由于硝酸盐浓度、水温、沉积物总氮(STN)的季节性差异所致。同时,N/(N+NO) 比值(最高沉积物硝酸盐还原期为 83.44-91.70%)表明 N 是硝酸盐还原的主要来源。对各种环境因素与硝酸盐还原的相关性进行了分析,在整个研究期间,硝酸盐浓度、STN、低分子质量有机碳、好氧反硝化菌数量以及氧化还原电位(ORP)、pH 值、电导率(EC)和叶绿素 a(Chl-a)等环境参数与硝酸盐还原呈显著相关关系。基于多元回归模型,硝酸盐和低分子质量有机碳浓度是硝酸盐还原变异性的最主要影响因素。此外,表层沉积物的硝酸盐还原速率明显增加,从 5.28 至 13.22 nmol N/(g dw·h)增至 1117.02-3129.47 nmol N/(g dw·h),均高于非运行年份。这表明在水库生态系统中,提水曝气技术可原位增强沉积物系统的反硝化作用。