DOI: 10.1002/2016GL069945
论文题名: An improved method for interpretation of riverine concentration-discharge relationships indicates long-term shifts in reservoir sediment trapping
作者: Zhang Q. ; Harman C.J. ; Ball W.P.
刊名: Geophysical Research Letters
ISSN: 0094-8522
EISSN: 1944-8253
出版年: 2016
卷: 43, 期: 19 起始页码: 10215
结束页码: 10224
语种: 英语
英文关键词: chemostasis
; dilution
; mobilization
; seasonality
; stationarity
; uncertainty
Scopus关键词: Dilution
; Rivers
; Water quality
; Chemostasis
; Mobilization
; Seasonality
; Stationarity
; Uncertainty
; Reservoirs (water)
英文摘要: Derived from river monitoring data, concentration-discharge (C-Q) relationships are powerful indicators of export dynamics. Proper interpretation of such relationships can be made complex, however, if the ln(C)-ln(Q) relationships are nonlinear or if the relationships change over time, season, or discharge. Methods of addressing these issues by “binning” data can introduce artifacts that obscure underlying interactions among time, discharge, and season. Here we illustrate these issues and propose an alternative method that uses the regression coefficients of the recently developed “Weighted Regressions on Time, Discharge, and Season” model for examining C-Q relationships in long-term, discretely sampled data for various water-quality constituents, including their uncertainties. The method is applied to sediment concentration data from Susquehanna River at Conowingo Dam, Maryland, to illustrate how the coefficients can be accessed and presented in ways that provide additional insights toward the interpretation of river water-quality data, which reaffirms the recently documented decadal-scale decline in reservoir trapping performance. ©2016. American Geophysical Union. All Rights Reserved. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84992391847&doi=10.1002%2f2016GL069945&partnerID=40&md5=a312b1298f4b4a20ed94e021d6357c98
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/9485
Appears in Collections: 科学计划与规划 气候变化与战略
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作者单位: Department of Geography and Environmental Engineering, The Johns Hopkins University, Baltimore, MD, United States
Recommended Citation:
Zhang Q.,Harman C.J.,Ball W.P.. An improved method for interpretation of riverine concentration-discharge relationships indicates long-term shifts in reservoir sediment trapping[J]. Geophysical Research Letters,2016-01-01,43(19).