Water budget analysis

2006 ◽  
pp. 681-687
Author(s):  
Robert A. Muller ◽  
John M. Grymes
Keyword(s):  
Water Budget ◽  
Budget Analysis

Water Budget Analysis by Using Thornwaite’s TMI Index: A Case Study of India

2011 ◽  
Vol 3 (6) ◽  
pp. 267-269
Author(s):  
P. T. Patil P. T. Patil ◽  
◽  
M. M. Jamadar M. M. Jamadar ◽  
N. A. Jamadar N. A. Jamadar
Keyword(s):  
Water Budget ◽  
Budget Analysis

scholarly journals Inverse streamflow routing

2013 ◽  
Vol 17 (11) ◽  
pp. 4577-4588 ◽  
Author(s):  
M. Pan ◽  
E. F. Wood
Keyword(s):  
Water Budget ◽  
Temporal Dynamics ◽  
Water Cycle ◽  
Ohio River ◽  
Temporal Difference ◽  
Time And Space ◽  
Ohio River Basin ◽  
Budget Analysis ◽  
Spatially Distributed ◽  
Terrestrial Water

Abstract. The process whereby the spatially distributed runoff (generated through saturation/infiltration excesses, subsurface flow, etc.) travels over the hillslope and river network and becomes streamflow is generally referred to as "routing". In short, routing is a runoff-to-streamflow process, and the streamflow in rivers is the response to runoff integrated in both time and space. Here we develop a methodology to invert the routing process, i.e., to derive the spatially distributed runoff from streamflow (e.g., measured at gauge stations) by inverting an arbitrary linear routing model using fixed interval smoothing. We refer to this streamflow-to-runoff process as "inverse routing". Inversion experiments are performed using both synthetically generated and real streamflow measurements over the Ohio River basin. Results show that inverse routing can effectively reproduce the spatial field of runoff and its temporal dynamics from sufficiently dense gauge measurements, and the inversion performance can also be strongly affected by low gauge density and poor data quality. The runoff field is the only component in the terrestrial water budget that cannot be directly measured, and all previous studies used streamflow measurements in its place. Consequently, such studies are limited to scales where the spatial and temporal difference between the two can be ignored. Inverse routing provides a more sophisticated tool than traditional methods to bridge this gap and infer fine-scale (in both time and space) details of runoff from aggregated measurements. Improved handling of this final gap in terrestrial water budget analysis may potentially help us to use space-borne altimetry-based surface water measurements for cross-validating, cross-correcting, and assimilation with other space-borne water cycle observations.

Water budget analysis

2006 ◽  
pp. 681-687
Author(s):  
Robert A. Muller ◽  
John M. Grymes
Keyword(s):  
Water Budget ◽  
Budget Analysis

FIFE 1987 water budget analysis

1996 ◽  
Vol 101 (D3) ◽  
pp. 7197-7207 ◽  
Author(s):  
Q. Y. Duan ◽  
J. C. Schaake ◽  
V. I. Koren
Keyword(s):  
Water Budget ◽  
Budget Analysis

scholarly journals Correction to “FIFE 1987 water budget analysis” by Q. Y. Duan, J. C. Schaake, and V. I. Koren

1996 ◽  
Vol 101 (D23) ◽  
pp. 29603-29603 ◽  
Author(s):  
Q. Y. Duan ◽  
J. C. Schaake ◽  
V. I. Koren
Keyword(s):  
Water Budget ◽  
Budget Analysis

scholarly journals Estimation of submarine groundwater discharge in the Il-Gwang watershed using water budget analysis and222Rn mass balance

2013 ◽  
Vol 28 (11) ◽  
pp. 3761-3775 ◽  
Author(s):  
Yong-Seok Gwak ◽  
Sang-Hyun Kim ◽  
Yong-Woo Lee ◽  
Boo-Keun Khim ◽  
Se-Yeong Hamm ◽  
...  
Keyword(s):  
Mass Balance ◽  
Water Budget ◽  
Submarine Groundwater Discharge ◽  
Groundwater Discharge ◽  
Budget Analysis ◽  
Submarine Groundwater

Water budget analysis of small forested boreal watersheds: comparison of Sphagnum bog, patterned fen and lake dominated downstream areas in the La Grande River region, Québec

2014 ◽  
Vol 46 (1) ◽  
pp. 106-120 ◽  
Author(s):  
Simon Tardif ◽  
André St-Hilaire ◽  
René Roy ◽  
Monique Bernier ◽  
Serge Payette
Keyword(s):  
Water Budget ◽  
Stomatal Resistance ◽  
High Variability ◽  
Produce Water ◽  
Budget Analysis ◽  
Sphagnum Bogs ◽  
River Region ◽  
Sphagnum Bog ◽  
And Storage ◽  
Monteith Equation

A water budget analysis (precipitation (P), surface runoff (Q), evapotranspiration (ET) and storage variations (ΔS)) was completed over a 3-year span for two Sphagnum bogs, three patterned fens and two shallow lakes all located in the La Grande River watershed in central Québec. The high variability of P from 2005 to 2007 during summer and fall (July to October) allowed us to produce water budgets over a large spectrum of wetness conditions at seasonal and event timescales. Bogs and fens (not lakes) have the intrinsic ability to keep the water table near the surface most of the time, which affects Q. Fens and lakes showed a similar hydrological behavior when compared to bogs, in spite of differences in Q and ΔS variability due to the typical vegetation structure of fens. This structure also tends to produce sharper rises of Q when compared to lakes that have overall smoother hydrograms. The dominant water budget term for bogs, fens and lakes was ΔS, Q and ET, respectively. Finally, an adaptation of the Penman–Monteith equation was successfully used to estimate potential ET. This revised method is based on peatland vegetation identification that provides a simple weighing factor for stomatal resistance.

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