期刊
WATER RESOURCES RESEARCH
卷 49, 期 11, 页码 7366-7379出版社
AMER GEOPHYSICAL UNION
DOI: 10.1002/wrcr.20532
关键词
recession analysis; hydromorphology; base flow recession constant; human withdrawals; watershed time constant
资金
- Summer Institute
- NSF [0854957]
- Tufts Institute for the Environment (TIE)
- University of California Office of the President Multicampus Research and Programs Initiative
- Directorate For Geosciences
- Division Of Earth Sciences [0854957] Funding Source: National Science Foundation
The base flow recession constant, K-b, is used to characterize the interaction of groundwater and surface water systems. Estimation of K-b is critical in many studies including rainfall-runoff modeling, estimation of low flow statistics at ungaged locations, and base flow separation methods. The performance of several estimators of K-b are compared, including several new approaches which account for the impact of human withdrawals. A traditional semilog estimation approach adapted to incorporate the influence of human withdrawals was preferred over other derivative-based estimators. Human withdrawals are shown to have a significant impact on the estimation of base flow recessions, even when withdrawals are relatively small. Regional regression models are developed to relate seasonal estimates of K-b to physical, climatic, and anthropogenic characteristics of stream-aquifer systems. Among the factors considered for explaining the behavior of K-b, both drainage density and human withdrawals have significant and similar explanatory power. We document the importance of incorporating human withdrawals into models of the base flow recession response of a watershed and the systemic downward bias associated with estimates of K-b obtained without consideration of human withdrawals.
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