Guni Xiang , Zhihao Xu , Kaiheng Chen , Pan Yang , Jingchuan Xue , Sibo Zhang , Weilun Gao
{"title":"多种社会经济发展情景下储层甲烷排放对不同有机碳负荷的响应","authors":"Guni Xiang , Zhihao Xu , Kaiheng Chen , Pan Yang , Jingchuan Xue , Sibo Zhang , Weilun Gao","doi":"10.1016/j.ecolmodel.2025.111340","DOIUrl":null,"url":null,"abstract":"<div><div>Reservoirs are riverine organic carbon (OC) retention and methane (CH<sub>4</sub>) emission hotspots. However, the response of reservoir CH<sub>4</sub> cycling processes and emissions to varying OC loads under different socioeconomic development scenarios remains unclear. Accordingly, this study evaluates the impact of OC loads on reservoir CH<sub>4</sub> cycling processes and predicts future emissions under multiple socioeconomic development scenarios. A coupled physical-biogeochemical reservoir model was used to simulate CH<sub>4</sub> production, oxidation, diffusion, and ebullition dynamics. Three socioeconomic development scenarios (i.e., low, steady, and high-speed development) were adopted to project riverine OC loads and reservoir CH<sub>4</sub> emission. Using the second largest reservoir in China (i.e., Danjiangkou Reservoir) as a case study, the results demonstrate that increased OC loads led to a reduction in sediment CH<sub>4</sub> oxidation efficiency. As OC loads increased, the dominant sediment CH<sub>4</sub> release pathway shifted from diffusion to ebullition. A linear relationship was also observed between CH<sub>4</sub> ebullition and OC loads, while CH<sub>4</sub> diffusion exhibited a nonlinear growth trend. The findings highlight the importance of OC loads in regulating reservoir CH<sub>4</sub> cycling. Furthermore, CH<sub>4</sub> emissions may significantly increase (34 %–125 %) by 2050, raising emission control concerns. This study provides a modelling tool and fresh implications for future reservoir emission estimations and watershed management in the pursuance of carbon (C) neutrality goals.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"510 ","pages":"Article 111340"},"PeriodicalIF":3.2000,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Reservoir methane emission response to varying organic carbon loads under multiple socioeconomic development scenarios\",\"authors\":\"Guni Xiang , Zhihao Xu , Kaiheng Chen , Pan Yang , Jingchuan Xue , Sibo Zhang , Weilun Gao\",\"doi\":\"10.1016/j.ecolmodel.2025.111340\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Reservoirs are riverine organic carbon (OC) retention and methane (CH<sub>4</sub>) emission hotspots. However, the response of reservoir CH<sub>4</sub> cycling processes and emissions to varying OC loads under different socioeconomic development scenarios remains unclear. Accordingly, this study evaluates the impact of OC loads on reservoir CH<sub>4</sub> cycling processes and predicts future emissions under multiple socioeconomic development scenarios. A coupled physical-biogeochemical reservoir model was used to simulate CH<sub>4</sub> production, oxidation, diffusion, and ebullition dynamics. Three socioeconomic development scenarios (i.e., low, steady, and high-speed development) were adopted to project riverine OC loads and reservoir CH<sub>4</sub> emission. Using the second largest reservoir in China (i.e., Danjiangkou Reservoir) as a case study, the results demonstrate that increased OC loads led to a reduction in sediment CH<sub>4</sub> oxidation efficiency. As OC loads increased, the dominant sediment CH<sub>4</sub> release pathway shifted from diffusion to ebullition. A linear relationship was also observed between CH<sub>4</sub> ebullition and OC loads, while CH<sub>4</sub> diffusion exhibited a nonlinear growth trend. The findings highlight the importance of OC loads in regulating reservoir CH<sub>4</sub> cycling. Furthermore, CH<sub>4</sub> emissions may significantly increase (34 %–125 %) by 2050, raising emission control concerns. This study provides a modelling tool and fresh implications for future reservoir emission estimations and watershed management in the pursuance of carbon (C) neutrality goals.</div></div>\",\"PeriodicalId\":51043,\"journal\":{\"name\":\"Ecological Modelling\",\"volume\":\"510 \",\"pages\":\"Article 111340\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2025-09-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecological Modelling\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0304380025003266\",\"RegionNum\":3,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Modelling","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0304380025003266","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECOLOGY","Score":null,"Total":0}
Reservoir methane emission response to varying organic carbon loads under multiple socioeconomic development scenarios
Reservoirs are riverine organic carbon (OC) retention and methane (CH4) emission hotspots. However, the response of reservoir CH4 cycling processes and emissions to varying OC loads under different socioeconomic development scenarios remains unclear. Accordingly, this study evaluates the impact of OC loads on reservoir CH4 cycling processes and predicts future emissions under multiple socioeconomic development scenarios. A coupled physical-biogeochemical reservoir model was used to simulate CH4 production, oxidation, diffusion, and ebullition dynamics. Three socioeconomic development scenarios (i.e., low, steady, and high-speed development) were adopted to project riverine OC loads and reservoir CH4 emission. Using the second largest reservoir in China (i.e., Danjiangkou Reservoir) as a case study, the results demonstrate that increased OC loads led to a reduction in sediment CH4 oxidation efficiency. As OC loads increased, the dominant sediment CH4 release pathway shifted from diffusion to ebullition. A linear relationship was also observed between CH4 ebullition and OC loads, while CH4 diffusion exhibited a nonlinear growth trend. The findings highlight the importance of OC loads in regulating reservoir CH4 cycling. Furthermore, CH4 emissions may significantly increase (34 %–125 %) by 2050, raising emission control concerns. This study provides a modelling tool and fresh implications for future reservoir emission estimations and watershed management in the pursuance of carbon (C) neutrality goals.
期刊介绍:
The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).