δ13 C‐δ18 O Covariance: An Effective Indicator of Hydrological Closure for Lakes?
δ13 C‐δ18 O Covariance: An Effective Indicator of Hydrological Closure for Lakes?
复制标题
δ13 C-δ18 O协方差：湖泊水文闭合的有效指标？
DOI：
10.1111/j.1755-6724.2008.tb00653.x
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发表时间：
2008
期刊：
影响因子：
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通讯作者：
Xiao Tang
中科院分区：
文献类型：
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作者：
Chen Jing;Wang Fushun;Wan Guojiang;Tang Degui;David Dian Zhang;Hunag Ronggui;Li Jian;Xiao Tang
原生碳酸盐中δ13C和δ180之间的相关性受水文平衡、总二氧化碳浓度、气候条件和湖泊生产力等多种因素的影响。这些因素对δ13C-δ180相关性的影响在不同的时间尺度上可能是不同的。本文选取了中国西南部的洱海和澄海两个不同类型的湖泊，研究了气候模式对δ13C-δ180相关性的影响，并评价了δ13C-δ180协方差作为水文闭合指标的可靠性。结果表明，洱海(泛滥开阔湖)和澄海(封闭湖)的δ13C与δ180有较好的相关性。这表明δ13C-δ180协方差可能不是湖泊水文闭合的有效指标，特别是在短时间尺度上。一方面，由于气候的影响，水文开阔的湖泊可能表现出δ13C和δ180的协变。中国西南部特殊的暖干冷湿交替气候格局可能是洱海和澄海δ13C-δ180协方差的主要原因。另一方面，由于高二氧化碳浓度对高碱性湖泊δ13C漂移的缓冲作用，水文封闭湖泊的δ13C和δ18O之间不必要地表现出协变趋势。在用δ13C和δ18O的协方差来判断湖泊的水文封闭性时应慎重。
The correlation between the δ13 C and δ18 0 in primary carbonates is affected by several factors such as hydrological balance, total CO2 concentrations, climatic condition and lake productivity. The influence of these factors on the δ13 C‐δ18 0 correlation may be different on different time scales. In this paper, two different‐type lakes in southwestern China, Lake Erhai and Lake Chenghai, are selected to investigate the influence of climatic pattern on the δ13 C‐δ18 0 correlation and to evaluate the reliability of the δ13 C‐δ18 0 covariance as an indicator of hydrological closure. The results show that there exists good correlation between the δ13 C and δ18 0 in Lake Erhai (overflowing open lake) and in Lake Chenghai (closed lake). This suggests that the δ13 C‐δ18 0 covariance may be not an effective indicator of hydrological closure for lakes, especially on short time scales. On the one hand, a hydrologically open lake may display covariant δ13 C and δ18 0 as a result of climatic influence. The particular alternate warm‐dry and cold‐wet climatic pattern in southwestern China may be the principal cause of the δ13 C‐δ18 0 covariance in Lake Erhai and Lake Chenghai. On the other hand, a hydrologically closed lake unnecessarily displays covariant trends between δ13 C and δ18 O because of the buffering effect of high CO2 concentration on the δ13 C shift in hyper‐alkaline lakes. We should be prudent when we use the covariance between δ13 C and δ18 O to judge the hydrological closure of lake.
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DOI：
--
发表时间：
2022
期刊：
影响因子：
--
作者：
広瀬浩二郎;山本容子;庄司佳子・小林知子・奥西麻衣子・河原佑香・柿野成美
通讯作者：
庄司佳子・小林知子・奥西麻衣子・河原佑香・柿野成美