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DOI | 10.1029/2019MS001632 |
A Multilayer Reservoir Thermal Stratification Module for Earth System Models | |
Yigzaw W.; Li H.-Y.; Fang X.; Leung L.R.; Voisin N.; Hejazi M.I.; Demissie Y. | |
发表日期 | 2019 |
ISSN | 19422466 |
起始页码 | 3265 |
结束页码 | 3283 |
卷号 | 11期号:10 |
英文摘要 | Thermal stratification in reservoirs is a critical process that regulates downstream riverine energy and biogeochemical cycling. Current stratification models either simplify vertical energy process, reservoir geometry or neglecting the effects of reservoir operation. Here we present a new multilayer reservoir stratification model that can be applied for reservoir and stream temperature simulation at regional or global scale. With a multilayer vertical discretization, we introduce a newly developed storage-area-depth dataset to improve parameterization of advection processes in and out of the reservoir. The new model better represents vertical temperature gradient and subsequently temperature of water released to downstream. The stratification model is applied to 1,400 reservoirs over the contiguous United States and validated against observed surface, profile, and outflow temperature data over 130 reservoirs subjected to various levels of regulation. The Nash-Sutcliffe values are higher than 0.5 for about 77% of the validated reservoirs using surface temperature while the average values of root mean square error and bias are 3.6 °C and −1.1 °C, respectively. Using the new reservoir storage-area-depth dataset improves the simulation of surface temperature at over 69% of the validated reservoirs compared to using simplified reservoir geometry. The reservoir stratification model contributes to improving predictive understanding of anthropogenic impact on terrestrial hydrological, ecological, and biogeochemical cycles. © 2019. The Authors. |
英文关键词 | earth system modeling; reservoirs; Thermal stratification |
语种 | 英语 |
scopus关键词 | Atmospheric temperature; Biogeochemistry; Digital storage; Ecology; Mean square error; Multilayers; Petroleum reservoirs; Surface properties; Thermal stratification; Anthropogenic impacts; Biogeochemical cycling; Current stratification; Earth system model; Multilayer reservoirs; Root mean square errors; Temperature of water released; Vertical temperature gradients; Reservoirs (water); anthropogenic effect; biogeochemical cycle; data set; Earth structure; reservoir; stratification; temperature gradient; United States |
来源期刊 | Journal of Advances in Modeling Earth Systems
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/156846 |
作者单位 | Department of Civil and Environmental Engineering, University of Houston, Houston, TX, United States; Department of Civil Engineering, Auburn University, Auburn, AL, United States; Pacific Northwest National Laboratory, Richland, WA, United States; Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, MD, United States; Department of Civil and Environmental Engineering, Washington State University, Richland, WA, United States |
推荐引用方式 GB/T 7714 | Yigzaw W.,Li H.-Y.,Fang X.,et al. A Multilayer Reservoir Thermal Stratification Module for Earth System Models[J],2019,11(10). |
APA | Yigzaw W..,Li H.-Y..,Fang X..,Leung L.R..,Voisin N..,...&Demissie Y..(2019).A Multilayer Reservoir Thermal Stratification Module for Earth System Models.Journal of Advances in Modeling Earth Systems,11(10). |
MLA | Yigzaw W.,et al."A Multilayer Reservoir Thermal Stratification Module for Earth System Models".Journal of Advances in Modeling Earth Systems 11.10(2019). |
条目包含的文件 | 条目无相关文件。 |
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