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Physical and chemical consequences of artificially deepened thermocline in a small humic lake – a paired whole-lake climate change experiment

机译:在一个小腐殖质湖中人工加深的温跃层的物理和化学后果-一次全湖气候变化配对实验

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Climate change with higher air temperatures and changes in cloud cover, radiation and wind speed alters the heat balance and stratification patterns of lakes. A paired whole-lake thermocline manipulation experiment of a small (0.047 kmsup2/sup) shallow dystrophic lake (Halsj?rvi) was carried out in southern Finland. A thermodynamic model (MyLake) was used for both predicting the impacts of climate change scenarios and for determining the manipulation target of the experiment. The model simulations assuming several climate change scenarios indicated large increases in the whole-lake monthly mean temperature (+1.4–4.4 °C in April–October for the A2 scenario), and shortening of the length of the ice covered period by 56–89 days. The thermocline manipulation resulted in large changes in the thermodynamic properties of the lake, and those were rather well consistent with the simulated future increases in the heat content during the summer-autumn season. The manipulation also resulted in changes in the oxygen stratification, and the expansion of the oxic water layer increased the spatial extent of the sediment surface oxic-anoxic interfaces. In addition, the experiment affected several other chemical constituents; concentrations of organic carbon, TotN, and NHsub4/sub showed a statistically significant decrease, likely due to both changes in hydrological conditions during the experiment period and increased decomposition and sedimentation. In comparison with the results of a similar whole-lake manipulation experiment in a deep, oligotrophic, clear-watered lake in Norway, it is evident that shallow dystrophic lakes, common in the boreal region, are more sensitive to physical perturbations. This means that projected climate change may modify their physical and chemical conditions in the future.
机译:随着气温升高,气候变化以及云层,辐射和风速的变化改变了湖泊的热量平衡和分层模式。在芬兰南部,对一个小的(0.047 km 2 )浅营养不良湖(Halsj?rvi)进行了成对的全湖温跃层操纵实验。使用热力学模型(MyLake)预测气候变化情景的影响并确定实验的操作目标。假设有几种气候变化情景的模型模拟表明,全湖月平均温度大幅上升(A2情景在4月至10月为+ 1.4-4.4°C),而冰覆盖期的长度缩短了56-89天。进行温跃层操纵导致湖泊的热力学性质发生了很大的变化,这些变化与夏季至秋季模拟的未来热量含量的增加非常吻合。该操作还导致了氧分层的变化,含氧水层的膨胀增加了沉积物表面含氧-缺氧界面的空间范围。此外,该实验还影响了其他几种化学成分。有机碳,TotN和NH 4 的浓度显示出统计学上的显着下降,这可能是由于实验期间水文条件的变化以及分解和沉降增加所致。与在挪威的一个深营养贫水的清水湖中进行类似的全湖操纵实验的结果相比,很明显,北部地区常见的浅营养不良湖对物理扰动更为敏感。这意味着未来的气候变化可能会改变其物理和化学条件。

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