Shi Jie, Zhang Mi, Qiu Ji-Li, Wan Zi-Wen, Zhao Ruo-Nan, Xie Yan-Hong, Chen Ming-Jian, Zhao Jia-Yu, Xiao Wei, Liu Shou-Dong
Yale-NUIST Center on Atmospheric Environment, International Joint Laboratory on Climate and Environment Change (ILCEC), Nanjing University of Information Science & Technology, Nanjing 210044, China.
Huan Jing Ke Xue. 2022 Sep 8;43(9):4867-4877. doi: 10.13227/j.hjkx.202110131.
As an important source of greenhouse gases, the changes in greenhouse gas concentrations of aquaculture ponds are not only the basis for accurate quantification of greenhouse gases emissions but are also important for identifying their influencing factors. The spatial and temporal variation characteristics of CH, CO, and NO concentrations and the influencing factors in a typical small aquaculture pond in the Yangtze River Delta were analyzed based on the headspace equilibrium-gas chromatograph method. Except in spring, the concentrations of CH, and NO appeared high at noon or afternoon and were influenced by water temperature. Impacted by water temperature and aquatic plant photosynthesis, the concentrations of CO were high in the morning when photosynthesis was weak. The concentrations of CH and CO were the highest in autumn and the lowest in winter. The mean concentrations of CH in autumn and winter were 176.34 nmol·L and 32.75 nmol·L, respectively, which were mainly affected by air temperature, water temperature, and dissolved oxygen. The average CO concentrations in autumn and winter were 134.37 μmol·L and 23.10 μmol·L, respectively, and were mainly affected by aquatic vegetation photosynthesis and pH. NO concentration was the highest in summer and the lowest in winter, with mean values of 97.05 nmol·L and 19.41 nmol·L, respectively, which were mainly affected by air temperature and water temperature. In terms of the vertical spatial variations of the three greenhouse gases, the concentration of CHdecreased with water depth in summer, and the concentration differences between the surface layer and the bottom and middle layers were 71.28 nmol·L and 42.80 nmol·L, respectively. The concentration of CH increased with water depth in autumn, and the concentration difference between the bottom layer and surface layer was 163.94 nmol·L. The CO concentration increased with water depth in summer and autumn. The concentration differences between the bottom and surface concentrations were 18.69 μmol·L and 29.90 μmol·L, respectively. NO concentration showed no obvious change in the vertical direction. For the horizontal variations, the concentrations of CH, CO, and NO in the feeding area in summer and in chicken manure in spring were approximately 1.34-1.98 times and 1.95-2.42 times those in other areas, respectively, and the concentrations of NO and CO in spring and summer were approximately 1.13-1.26 times and 1.39-1.74 times those in other areas.
作为温室气体的重要来源,养殖池塘温室气体浓度变化不仅是准确量化温室气体排放的基础,对于识别其影响因素也具有重要意义。基于顶空平衡-气相色谱法,分析了长江三角洲典型小型养殖池塘中CH、CO和NO浓度的时空变化特征及其影响因素。除春季外,CH和NO浓度在中午或下午较高,受水温影响。受水温和水生植物光合作用影响,CO浓度在光合作用较弱的早晨较高。CH和CO浓度秋季最高,冬季最低。秋季和冬季CH的平均浓度分别为176.34 nmol·L和32.75 nmol·L,主要受气温、水温和溶解氧影响。秋季和冬季CO的平均浓度分别为134.37 μmol·L和23.10 μmol·L,主要受水生植物光合作用和pH值影响。NO浓度夏季最高,冬季最低,平均值分别为97.05 nmol·L和19.41 nmol·L,主要受气温和水温影响。就三种温室气体的垂直空间变化而言,夏季CH浓度随水深降低,表层与底层和中层的浓度差分别为71.28 nmol·L和42.80 nmol·L。秋季CH浓度随水深增加,底层与表层的浓度差为163.94 nmol·L。夏季和秋季CO浓度随水深增加。底层与表层浓度差分别为18.69 μmol·L和29.90 μmol·L。NO浓度在垂直方向上无明显变化。在水平变化方面,夏季投喂区CH、CO和NO浓度以及春季鸡粪区CH、CO和NO浓度分别约为其他区域的1.34 - 1.98倍和1.95 - 2.42倍,春季和夏季NO和CO浓度分别约为其他区域的1.13 - 1.26倍和1.39 - 1.74倍。