喀斯特
生物地球化学循环
水文学(农业)
溶解有机碳
环境科学
无机碳总量
碳循环
二氧化碳
地质学
生态系统
环境化学
海洋学
化学
生态学
古生物学
有机化学
生物
岩土工程
作者
Wanfa Wang,Si‐Liang Li,Jun Zhong,Yuanbi Yi,Fu‐Jun Yue,Zenglei Han,Qixin Wu,Ding He,Cong‐Qiang Liu
出处
期刊:Water Research
[Elsevier BV]
日期:2023-11-19
卷期号:248: 120893-120893
被引量:41
标识
DOI:10.1016/j.watres.2023.120893
摘要
Carbon migration, transformation, and emissions as CO2 in reservoir and lake systems have been extensively studied. However, uncertainties persist regarding carbon cycling variations in both karst and non-karst regions within large thermal stratified river-reservoir systems. To address this knowledge gap, we combined measurements of water chemistry, isotopic compositions (δ13C), partial pressure of CO2 (pCO2), and CO2 fluxes (FCO2) to elucidate the differences, control mechanisms, and environmental effects of various carbon biogeochemical processes in the Hongjiadu reservoir (HJD, karst reservoir) and Shangyoujiang reservoir (SYJ, non-karst reservoir), Yangtze River basin, China. Our results demonstrate that key biogeochemical processes are associated with CO2 production and emissions. The stronger biological carbon pump (BCP) effect in the lentic area of the HJD reservoir limited CO2 emission (0.9 ± 5.0 mmol m-2 d-1) compared to the SYJ reservoir (50.9 ± 33.4 mmol m-2 d-1), leading to low dissolved inorganic carbon (DIC) and high saturation state of carbonate minerals in the lentic epilimnion. Although the released water from both reservoirs acted as hotspots for CO2 emissions, the results of higher Revelle factor (RF) in the HJD reservoir than SYJ reservoir suggest the greater buffer capacity and lower sensitivity of OC degradation changes in DIC. Despite the shorter hydraulic retention time (HRT) of SYJ reservoir (120 d) compared to HJD reservoir (368 d), FCO2 was 3.5 times higher than that of the HJD reservoir (652.9 mmol m-2 d-1). Moreover, upon analyzing selected reservoirs worldwide, it becomes apparent that karst reservoirs demonstrate a reduced potential for CO2 emissions. Our results indicate that the impact of varying geologic settings should be considered to minimize errors in regional and global CO2 emission estimates.
科研通智能强力驱动
Strongly Powered by AbleSci AI