scholarly journals Significance of surface water in the terrestrial water budget: A case study in the Prairie Coteau using GRACE, GLDAS, Landsat, and groundwater well data

2013 ◽  
Vol 49 (9) ◽  
pp. 5756-5764 ◽  
Author(s):  
Rob A. Proulx ◽  
Michael D. Knudson ◽  
Andrei Kirilenko ◽  
Jeffrey A. VanLooy ◽  
Xiaodong Zhang
Keyword(s):  
Surface Water ◽  
Water Budget ◽  
Terrestrial Water ◽  
Well Data

Remote sensing: hydrology

2009 ◽  
Vol 33 (4) ◽  
pp. 490-509 ◽  
Author(s):  
Qiuhong Tang ◽  
Huilin Gao ◽  
Hui Lu ◽  
Dennis P. Lettenmaier
Keyword(s):  
Remote Sensing ◽  
Surface Water ◽  
Land Surface ◽  
Water Budget ◽  
Current Status ◽  
State Variables ◽  
Surface Hydrology ◽  
Earth Observing System ◽  
Land Surface Water ◽  
Terrestrial Water

Satellite remote sensing is a viable source of observations of land surface hydrologic fluxes and state variables, particularly in regions where in situ networks are sparse. Over the last 10 years, the study of land surface hydrology using remote sensing techniques has advanced greatly with the launch of NASA’s Earth Observing System (EOS) and other research satellite platforms, and with the development of more sophisticated retrieval algorithms. Most of the constituent variables in the land surface water balance (eg, precipitation, evapotranspiration, snow and ice, soil moisture, and terrestrial water storage variations) are now observable at varying spatial and temporal resolutions and accuracy via remote sensing. We evaluate the current status of estimates of each of these variables, as well as river discharge, the direct estimation of which is not yet possible. Although most of the constituent variables are observable by remote sensing, attempts to close the surface water budget from remote sensing alone have generally been unsuccessful, suggesting that current generation sensors and platforms are not yet able to provide hydrologically consistent observations of the land surface water budget at any spatial scale.

scholarly journals Inverse streamflow routing

2013 ◽  
Vol 10 (6) ◽  
pp. 6897-6929 ◽  
Author(s):  
M. Pan ◽  
E. F. Wood
Keyword(s):  
Surface Water ◽  
Water Budget ◽  
Temporal Dynamics ◽  
Water Cycle ◽  
Ohio River ◽  
Temporal Difference ◽  
Ohio River Basin ◽  
Budget Analysis ◽  
Spatially Distributed ◽  
Terrestrial Water

Abstract. The process where 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 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 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 very effectively reproduce the spatial field of runoff and its temporal dynamics from gauge measurements. Runoff field is the only component in terrestrial water budget that cannot be directly measured and all previous studies use streamflow measurements in its place. Consequently, such studies are limited to scales where the spatial and temporal difference between the two can be ignored. Now inverse routing bridges the gap and provides a best, if not only, mean to estimate runoff field at any spatial or temporal scales from observations. Closing this final gap in terrestrial water budget analysis opens up opportunities in using space-borne altimetry based surface water measurements for cross-validating, cross-correcting, and assimilation with other space-borne water cycle observations. Also, as the inverted runoff can be used to reconstruct the streamflow everywhere in the basin, inverse routing will be extremely useful in reconstructing missing river gauge records from other available gauges or even to monitor streamflow at un-gauged locations.

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

Surface Water Quality Assessment. Case Study: Târnava Mare River, Mediaș Town-Romania

2011 ◽  
Vol 4 (5) ◽  
pp. 70-72
Author(s):  
Cristina Roşu ◽  
◽  
Ioana Piştea ◽  
Carmen Roba ◽  
Mihaela Mihu ◽  
...  
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Quality Assessment ◽  
Surface Water Quality ◽  
Water Quality Assessment

scholarly journals Monitoring Lakes Surface Water Velocity with SAR: A Feasibility Study on Lake Garda, Italy

2021 ◽  
Vol 13 (12) ◽  
pp. 2293
Author(s):  
Marina Amadori ◽  
Virginia Zamparelli ◽  
Giacomo De Carolis ◽  
Gianfranco Fornaro ◽  
Marco Toffolon ◽  
...  
Keyword(s):  
Surface Water ◽  
Wind Waves ◽  
Test Site ◽  
Water Velocity ◽  
Surface Velocity ◽  
Medium Size ◽  
Small Scale ◽  
Lake Garda ◽  
Marine Applications

The SAR Doppler frequencies are directly related to the motion of the scatterers in the illuminated area and have already been used in marine applications to monitor moving water surfaces. Here we investigate the possibility of retrieving surface water velocity from SAR Doppler analysis in medium-size lakes. ENVISAT images of the test site (Lake Garda) are processed and the Doppler Centroid Anomaly technique is adopted. The resulting surface velocity maps are compared with the outputs of a hydrodynamic model specifically validated for the case study. Thermal images from MODIS Terra are used in support of the modeling results. The surface velocity retrieved from SAR is found to overestimate the numerical results and the existence of a bias is investigated. In marine applications, such bias is traditionally removed through Geophysical Model Functions (GMFs) by ascribing it to a fully developed wind waves spectrum. We found that such an assumption is not supported in our case study, due to the small-scale variations of topography and wind. The role of wind intensity and duration on the results from SAR is evaluated, and the inclusion of lake bathymetry and the SAR backscatter gradient is recommended for the future development of GMFs suitable for lake environments.

Analysis of the presence of anti-inflammatories drugs in surface water: A case study in Beberibe river - PE, Brazil.

Chemosphere ◽  
2019 ◽  
Vol 222 ◽  
pp. 961-969 ◽  
Author(s):  
Tatiane Barbosa Veras ◽  
Anderson Luiz Ribeiro de Paiva ◽  
Marta Maria Menezes Bezerra Duarte ◽  
Daniela Carla Napoleão ◽  
Jaime Joaquim da Silva Pereira Cabral
Keyword(s):  
Surface Water
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