Ecological Restoration Effectively Mitigated pCO2 and CO2 Evasions From Severely Polluted Urban Rivers

环境科学 拦截 分水岭 恢复生态学 污染 生态系统 生态学 水文学(农业) 生物 岩土工程 机器学习 计算机科学 工程类
作者
Jilong Wang,Xiaofeng Wang,Tingting Liu,Huai Chen,Yixin He,Xingzhong Yuan
出处
期刊:Journal Of Geophysical Research: Biogeosciences [Wiley]
卷期号:128 (11) 被引量:2
标识
DOI:10.1029/2023jg007531
摘要

Abstract Urban rivers are significant hotspots of CO 2 emissions into the atmosphere, playing important roles in global carbon emission inventories. However, little is known about the effect of ecological restoration on CO 2 dynamics in severely polluted urban rivers, and this strongly hindering our understanding of the positive effects of human activities on CO 2 emissions in urbanized aquatic ecosystems. We measured CO 2 partial pressure ( p CO 2 ) and fluxes in nine severely polluted urban rivers with varying degrees of ecological restoration, and assessed the relationships with water physicochemical parameters, pollution levels and basin environmental investment. Our results indicate that urban rivers with high pollution loadings were indeed hotspots of CO 2 evasion. However, fully restored rivers had generally lower p CO 2 and CO 2 emissions than partially restored rivers and were observably lower than unrestored rivers, suggesting that watershed eco‐restoration could effectively reduce CO 2 evasion. In particular, environmental investment per unit basin area had a significant negative correlation with CO 2 evasion and could explain 51%–85% and 51% of total variability in p CO 2 and CO 2 fluxes among nine urban rivers respectively, emphasizing the potential benefits of carbon emission regulation resulting from positive environmental management. Nutrient removal and sewage interception during watershed eco‐restoration were key processes reducing p CO 2 and CO 2 fluxes in polluted urban rivers. pH alteration kept close correlations with p CO 2 and acted as a sensitive regulator of CO 2 evasion in the nine rivers. We highlight the importance of considering the coupling effects of pollution and restoration on the spatiotemporal variability of CO 2 evasion and the uncertainty of related monitoring methods in urban watersheds.
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