GSTDTAP  > 资源环境科学
DOI10.1029/2019WR025001
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
ISSN0043-1397
EISSN1944-7973
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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