Jie Yin, Xiaobing Chen, Lizhen Wen, Xiaoli Tu, Wenting Xie, Ran Xv
{"title":"Spatial and seasonal variations of carbon emissions in an urban lake: Flux sensitivity and sampling optimization based on high-resolution measurements","authors":"Jie Yin, Xiaobing Chen, Lizhen Wen, Xiaoli Tu, Wenting Xie, Ran Xv","doi":"10.1016/j.jhydrol.2024.132472","DOIUrl":null,"url":null,"abstract":"Understanding the dynamics of <ce:italic>p</ce:italic>CO<ce:inf loc=\"post\">2</ce:inf> and <ce:italic>p</ce:italic>CH<ce:inf loc=\"post\">4</ce:inf> is important for evaluating carbon emissions from the aquatic environment. While temporal dynamics of <ce:italic>p</ce:italic>CO<ce:inf loc=\"post\">2</ce:inf> and <ce:italic>p</ce:italic>CH<ce:inf loc=\"post\">4</ce:inf> have been extensively studied, there is a noticeable gap in the literature concerning their spatial characteristics. In this study, we used boat-mounted sensors to directly measure <ce:italic>p</ce:italic>CO<ce:inf loc=\"post\">2</ce:inf> and <ce:italic>p</ce:italic>CH<ce:inf loc=\"post\">4</ce:inf> with high spatial resolution across seasons in Xuanwu Lake (XWL), an urban lake in Nanjing, China. Additionally, water chemistries were measured at selected sites for correlation analysis. Sensitivity analysis was performed to assess the effects of measurement location and density on carbon flux estimates.","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"1 1","pages":""},"PeriodicalIF":5.9000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hydrology","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1016/j.jhydrol.2024.132472","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
引用次数: 0
Abstract
Understanding the dynamics of pCO2 and pCH4 is important for evaluating carbon emissions from the aquatic environment. While temporal dynamics of pCO2 and pCH4 have been extensively studied, there is a noticeable gap in the literature concerning their spatial characteristics. In this study, we used boat-mounted sensors to directly measure pCO2 and pCH4 with high spatial resolution across seasons in Xuanwu Lake (XWL), an urban lake in Nanjing, China. Additionally, water chemistries were measured at selected sites for correlation analysis. Sensitivity analysis was performed to assess the effects of measurement location and density on carbon flux estimates.
期刊介绍:
The Journal of Hydrology publishes original research papers and comprehensive reviews in all the subfields of the hydrological sciences including water based management and policy issues that impact on economics and society. These comprise, but are not limited to the physical, chemical, biogeochemical, stochastic and systems aspects of surface and groundwater hydrology, hydrometeorology and hydrogeology. Relevant topics incorporating the insights and methodologies of disciplines such as climatology, water resource systems, hydraulics, agrohydrology, geomorphology, soil science, instrumentation and remote sensing, civil and environmental engineering are included. Social science perspectives on hydrological problems such as resource and ecological economics, environmental sociology, psychology and behavioural science, management and policy analysis are also invited. Multi-and interdisciplinary analyses of hydrological problems are within scope. The science published in the Journal of Hydrology is relevant to catchment scales rather than exclusively to a local scale or site.