潮汐作用对河口区域温室气体排放的影响以鳌江流域为例

Effects of tidal forcing on greenhouse gas emissions in estuarine zones: a case study of the Aojiang River Basin

  • 摘要: 河口区域作为海陆过渡带,其水动力条件受潮汐驱动显著,从而影响水体理化性质与温室气体排放过程。以浙江省温州市鳌江流域为研究对象,系统分析了非感潮段、感潮段以及河口段水体环境因子(如盐度、溶解氧、水温以及营养盐)的空间差异,并基于广义可加模型(GAM)探讨温室气体(CO2、CH4、N2O)对多环境因子的非线性响应规律。结果表明:潮汐过程显著改变河口水体的盐度和溶解氧状况,盐度在受潮汐过程影响大的河口段明显上升至6 214.38 mg/L,并表现出强烈的空间分异,而溶解氧浓度在潮汐混合作用下显著降至4.57 mg/L(p<0.05);相比之下,潮汐过程对氮、磷、有机碳等营养盐空间分布的影响相对有限。GAM结果表明,温室气体对环境因子的响应具有明显的非线性特征。CO2模型的R2达0.744,其中溶解氧是核心驱动因子(解释率为44.98%,p=0.008);N2O模型的拟合优度最高(R2=0.850),盐度表现出强烈的抑制作用(解释率为31.48%),且N2O随水温呈现明显的“双峰型”波动(峰值位于29 ℃和33 ℃);CH4模型的R2达0.678,受盐度抑制(解释率为30.97%)和水温(解释率为28.24%)的共同调控。盐度、溶解氧和水温是调控温室气体排放的关键因子,高盐环境显著抑制CH4和N2O排放,低溶解氧浓度促进CO2排放,表明潮汐过程通过改变河口氧化还原环境和水化学条件,主导了温室气体排放格局。

     

    Abstract: Estuarine zones, as transitional zones between land and sea, are significantly influenced by tidal forcing, which in turn affects water physicochemical properties and greenhouse gas emission processes. This study focused on the Aojiang River Basin in Wenzhou City, Zhejiang Province, systematically analyzing spatial variations in aquatic environmental factors (e.g., salinity, dissolved oxygen, water temperature, and nutrients) in the non-tidal segment, tidal segment, and estuarine segment. Based on generalized additive models (GAM), the study explored the nonlinear response patterns of greenhouse gases (CO2, CH4, N2O) to multiple environmental factors. The results indicated that tidal processes significantly altered the salinity and dissolved oxygen (DO) status; salinity increased sharply to 6 214.38 mg/L in the estuarine segment, exhibiting strong spatial differentiation, whereas DO significantly decreased to 4.57 mg/L (p<0.05) under the influence of tidal mixing. In comparison, tidal processes had a relatively limited effect on the spatial distribution of nutrients, including nitrogen, phosphorus, and organic carbon. GAM results revealed that greenhouse gases exhibited distinct non-linear responses to environmental factors. The CO2 model achieved an R2 of 0.744, with DO identified as the primary driver (explaining 44.98%, p=0.008). The N2O model showed the highest goodness-of-fit (R2=0.850), where salinity exerted a strong inhibitory effect (explaining 31.48%), and N2O followed a distinct "double-peak" pattern with water temperature (peaks at 29 ℃ and 33 ℃). The CH4 model reached an R2 of 0.678, co-regulated by salinity inhibition (explaining 30.97%) and water temperature (explaining 28.24%). Overall, salinity, dissolved oxygen, and water temperature are key factors regulating greenhouse gas emissions: high-salinity conditions significantly suppress CH4 and N2O, while low DO promotes CO2 release. These findings demonstrate that tidal processes, by altering the redox environment and hydrochemical conditions in the estuary, play a dominant role in shaping the greenhouse gas emission patterns.

     

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