EAPSI: Estimating methane and carbon dioxide emissions from the Three Gorges Reservoir in China

EAPSI：估算中国三峡水库的甲烷和二氧化碳排放量

• 批准号: 1414818
• 负责人: Lindsey Witthaus-Yasarer
• 金额: $ 0.51万
• 依托单位: Witthaus-Yasarer Lindsey M
• 依托单位国家: 美国
• 项目类别: Fellowship Award
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-06-01 至 2015-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1414818&HistoricalAwards=false
• 关键词: EAPSI; Estimating; methane; carbon; dioxide

The Three Gorges Reservoir (TGR) in China is one of the largest reservoir systems in the world. Environmental concerns of the TGR construction and operation, such as nutrient enrichment of reservoir waters, algal blooms, fragmentation of critical habitats, and greenhouse gas emissions (methane and carbon dioxide) from the reservoir area, have drawn global concern. Studies of methane (CH4) and carbon dioxide (CO2) production from the TGR and other large reservoirs worldwide has demonstrated that hydroelectric power is not a carbon-neutral energy source. However, more rigorous methods of estimating reservoir carbon emissions are still necessary. In collaboration with Dr. Zhe Li, a noted expert on reservoir biogeochemistry at Chongqing University, this project will use statistical and geospatial tools to analyze data from ongoing monitoring of CH4 and CO2 fluxes, water quality, and reservoir characteristics to provide a comprehensive estimate of both CH4 and CO2 emissions for the TGR. The approach developed in this project will help to estimate CH4 and CO2 emissions for other reservoir systems around the world. This project will use statistical and geospatial tools to create a spatially-heterogeneous estimate of CH4 and CO2 emissions from the TGR. The proposed work will integrate geospatial analysis into a long-term study of reservoir carbon fluxes. Multivariate statistics and geospatial tools in ArcGIS will be utilized to determine spatially-heterogeneous relationships between reservoir properties - such as depth and nutrient levels - and carbon emissions. The approach developed in this project can be used to predict how greenhouse gas emissions may change in the TGR under various management regimes, and will be applied to other reservoir systems. Overall, this project will help to advance the current methods of estimating greenhouse gas emissions from reservoir systems and can aid in understanding the carbon budget of freshwater systems. This NSF EAPSI award is funded in collaboration with the Chinese Ministry of Science and Technology.

中国三峡水库是世界上最大的水库系统之一。三峡工程建设和运行过程中出现的环境问题，如库区沃茨富营养化、藻类水华、关键生境破碎化、库区温室气体（甲烷和二氧化碳）排放等，已引起全球关注。对三峡水库和世界各地其他大型水库产生的甲烷（CH4）和二氧化碳（CO2）的研究表明，水力发电不是碳中性能源。然而，仍然需要更严格的方法来估计水库的碳排放量。该项目将与重庆大学著名的水库地球化学专家李哲博士合作，利用统计和地理空间工具分析CH4和CO2通量、水质和水库特征的持续监测数据，以提供三峡库区CH4和CO2排放量的综合估计。该项目中开发的方法将有助于估计世界各地其他水库系统的甲烷和二氧化碳排放量。该项目将使用统计和地理空间工具，对三峡库区甲烷和二氧化碳排放量进行空间异质性估计。拟议的工作将把地理空间分析纳入对储层碳通量的长期研究。将利用ArcGIS中的多元统计和地理空间工具来确定储层特性（如深度和营养水平）与碳排放之间的空间异质关系。本项目开发的方法可用于预测不同管理制度下三峡库区温室气体排放量的变化，并将应用于其他水库系统。总体而言，该项目将有助于推进目前估算水库系统温室气体排放量的方法，并有助于了解淡水系统的碳预算。NSF EAPSI奖是与中国科技部合作资助的。