Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2019WR025001 |
Advances in Quantifying Streamflow Variability Across Continental Scales: 1. Identifying Natural and Anthropogenic Controlling Factors in the USA Using a Spatially Explicit Modeling Method | |
Alexander, Richard B.1; Schwarz, Gregory E.1; Boyer, Elizabeth W.2 | |
2019-12-01 | |
发表期刊 | WATER RESOURCES RESEARCH
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ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2019 |
卷号 | 55期号:12页码:10893-10917 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | Despite considerable progress in hydrological modeling, challenges remain in the interpretation and accurate transfer of hydrological information across watersheds and scales. In the conterminous United States (CONUS), these limitations are related to spatial inconsistencies and constraints in hydrological model structures, including a lack of spatially explicit process components (streams, reservoirs, and watershed development) and restricted estimation of model parameters across watersheds. Collectively, such limitations can impede identification of the causes of streamflow variations across the diversity of watershed sizes and land uses in the CONUS and contribute to model imprecision and spatial inconsistencies in prediction uncertainties. We addressed these concerns with a new approach, the first hybrid (statistical-mechanistic) SPARROW (SPAtially Referenced Regression On Watershed attributes) model of long-term mean annual streamflow, applied across diverse environmental settings of the CONUS. The hybrid model coupled previous catchment-scale (1 km) water balance predictions of "natural" unit area runoff, which are inclusive of major water cycling processes, with additional explanatory variables (e.g., soils, vegetation, land use, topography, water losses in streams, and reservoirs) that account for the effects of natural and cultural water supply and demand processes that operate over large spatial scales and explain streamflow variability across CONUS river basins. Accounting for these statistically unique effects, including a nonlinear surface area-dependent scaling of water loss in river networks, significantly improved the accuracy of mean streamflow predictions in CONUS basins. Our hybrid modeling approach provides new methods for transferring hydrological information to ungauged locations in river networks, especially those in larger and more culturally diverse CONUS watersheds. |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000509943100046 |
WOS关键词 | REGIONAL PARAMETER-ESTIMATION ; DATA SET ; RUNOFF ; NITROGEN ; CLIMATE ; EVAPOTRANSPIRATION ; PHOSPHORUS ; CATCHMENTS ; NUTRIENT ; DELIVERY |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/223945 |
专题 | 资源环境科学 |
作者单位 | 1.US Geol Survey, 959 Natl Ctr, Reston, VA 22092 USA; 2.Penn State Univ, Dept Ecosyst Sci & Management, University Pk, PA 16802 USA |
推荐引用方式 GB/T 7714 | Alexander, Richard B.,Schwarz, Gregory E.,Boyer, Elizabeth W.. Advances in Quantifying Streamflow Variability Across Continental Scales: 1. Identifying Natural and Anthropogenic Controlling Factors in the USA Using a Spatially Explicit Modeling Method[J]. WATER RESOURCES RESEARCH,2019,55(12):10893-10917. |
APA | Alexander, Richard B.,Schwarz, Gregory E.,&Boyer, Elizabeth W..(2019).Advances in Quantifying Streamflow Variability Across Continental Scales: 1. Identifying Natural and Anthropogenic Controlling Factors in the USA Using a Spatially Explicit Modeling Method.WATER RESOURCES RESEARCH,55(12),10893-10917. |
MLA | Alexander, Richard B.,et al."Advances in Quantifying Streamflow Variability Across Continental Scales: 1. Identifying Natural and Anthropogenic Controlling Factors in the USA Using a Spatially Explicit Modeling Method".WATER RESOURCES RESEARCH 55.12(2019):10893-10917. |
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