Sun, WenchaoEstimating River Discharge by <strong>the</strong> HydrologicalModel Calibrated Based <strong>on</strong> River Flow WidthDerived from Syn<strong>the</strong>tic Aperture Radar ImagesSun, Wenchao 1 ; Ishidaira, Hiroshi 2 ; Bastola, Satish 31. College <strong>of</strong> Water Sciences, Beijing Normal University,Beijing, China2. University <strong>of</strong> Yamanashi, K<strong>of</strong>u, Japan3. Nati<strong>on</strong>al University <strong>of</strong> Ireland, Maynooth, IrelandRiver discharge is an integral part <strong>of</strong> terrestrialhydrology and <strong>the</strong> overall hydrological cycle. Thehydrological is a comm<strong>on</strong> tool for estimating river dischargein <strong>the</strong> field <strong>of</strong> hydrology. The dependence <strong>on</strong> observed riverdischarge data for calibrati<strong>on</strong> restricts applicati<strong>on</strong>s <strong>of</strong>models in basins that <strong>the</strong> in situ observati<strong>on</strong> is unavailable.In <strong>the</strong> last decade, <strong>the</strong> river cross-secti<strong>on</strong>al water surfacewidth obtained from remote sensing images, especially from<strong>the</strong> syn<strong>the</strong>tic aperture radar (SAR) which can penetrate <strong>the</strong>clouds, has been proved to be effective to trace riverdischarge from space. In this study, we present a methodusing river widths measured from SAR images for calibratingrainfall-run<strong>of</strong>f models based <strong>on</strong> at-a-stati<strong>on</strong> hydraulicgeometry. One distinct advantage is that this calibrati<strong>on</strong> isindependent <strong>of</strong> river discharge informati<strong>on</strong>. To explore <strong>the</strong>feasibility <strong>of</strong> <strong>the</strong> proposed calibrati<strong>on</strong> scheme intensively andanalyse <strong>the</strong> uncertainty in <strong>the</strong> modelling processquantitively, <strong>the</strong> generalized likelihood uncertaintyestimati<strong>on</strong> (GLUE) was applied. The method is illustratedthough a case study in <strong>the</strong> Mek<strong>on</strong>g basin. The resultsindicate that <strong>the</strong> satellite observati<strong>on</strong> <strong>of</strong> river width is acompetent surrogate <strong>of</strong> observed discharge for <strong>the</strong>calibrati<strong>on</strong> <strong>of</strong> rainfall-run<strong>of</strong>f model. This study c<strong>on</strong>tributesto river discharge estimati<strong>on</strong> in basins that no in situgauging is available.Ensemble simulati<strong>on</strong>s <strong>of</strong> river dischargeSur, ChanyangRelati<strong>on</strong>ship <strong>of</strong> <strong>Remote</strong> sensing-basedEvapotranspirati<strong>on</strong> and Eco-hydrological Factor;Water Use EfficiencySur, Chanyang 1 ; Choi, Minha 11. Civil and Envir<strong>on</strong>ment Engineering, Hanyang University,Seoul, Republic <strong>of</strong> KoreaWater Use Efficiency (WUE) as an eco-hydrologicalparameter, is an index that how amount <strong>of</strong>evapotranspirati<strong>on</strong> (ET) is used for vegetative productivity.This index is defined as <strong>the</strong> ratio <strong>of</strong> Gross PrimaryProductivity (GPP) and ET per unit area. In this study, weextracted GPP and estimated ET using Moderate Resoluti<strong>on</strong>Imaging Spectroradiometer (MODIS) image data tocompute spatio-temporal distributi<strong>on</strong> <strong>of</strong> WUE in North-East Asia. The WUE will c<strong>on</strong>tribute to understand <strong>the</strong> rolevegetative activity <strong>on</strong> hydrologic cycle in <strong>the</strong> ecosystem. Mainpurpose <strong>of</strong> this study is to understand relati<strong>on</strong>ship betweenWUE and remote sensing based ET. ET includingevaporati<strong>on</strong> from a land surface and transpirati<strong>on</strong> fromphotosyn<strong>the</strong>sis <strong>of</strong> vegetati<strong>on</strong> is a sensitive hydrologicalfactor with outer circumstances. Direct measurements EThave a limitati<strong>on</strong> that <strong>the</strong> observati<strong>on</strong> can stand for <strong>the</strong>exact site, not for an area. <strong>Remote</strong> sensing technique isadopted to compensate <strong>the</strong> limitati<strong>on</strong> <strong>of</strong> ground observati<strong>on</strong>using <strong>the</strong> Moderate Resoluti<strong>on</strong> Imaging Spectroradiometer(MODIS) multispectral sensor mounted <strong>on</strong> Terra satellite.Based <strong>on</strong> this study, we estimated Penman-M<strong>on</strong>teith basedevapotranspirati<strong>on</strong> in North-East Asia and compared withremote sensing based WUE in order to understand <strong>the</strong>interacti<strong>on</strong> between atmosphere and vegetati<strong>on</strong> activity.The schematic descripti<strong>on</strong> <strong>of</strong> <strong>the</strong> method138
Sutanudjaja, Edwin H.Using space-borne remote sensing products tocalibrate a large-scale groundwater model: a testcasefor <strong>the</strong> Rhine-Meuse basinSutanudjaja, Edwin H. 1 ; van Beek, Ludovicus P. 1 ; de J<strong>on</strong>g,Steven M. 1 ; van Geer, Frans C. 1, 3 ; Bierkens, Marc F. 1, 21. Department <strong>of</strong> Physical Geography, Faculty <strong>of</strong>Geosciences, Utrecht University, Utrecht, Ne<strong>the</strong>rlands2. Unit Soil and Groundwater Systems, Deltares, Utrecht,Ne<strong>the</strong>rlands3. Ne<strong>the</strong>rlands Organizati<strong>on</strong> for Applied Scientific ResearchTNO, Utrecht, Ne<strong>the</strong>rlandsCalibrati<strong>on</strong> <strong>of</strong> large-scale groundwater models isdifficult due to a general lack <strong>of</strong> groundwater headmeasurements and <strong>the</strong> disparity between nati<strong>on</strong>alobservati<strong>on</strong> systems in case <strong>of</strong> trans-boundary aquifers. Inthis study, we explore <strong>the</strong> possibility to calibrate such modelsusing space-borne remote sensing products. As <strong>the</strong> test bed,we use <strong>the</strong> combined Rhine-Meuse basins (200,000 km2).For this regi<strong>on</strong>, an extensive groundwater head database isavailable. However, head observati<strong>on</strong>s were used forvalidati<strong>on</strong> <strong>on</strong>ly and <strong>the</strong> model was calibrated solely using aspace-borne soil moisture product (European <strong>Remote</strong><strong>Sensing</strong> Soil Water Index: ERS-SWI), combined with riverdischarge observati<strong>on</strong>s from <strong>the</strong> Global Run<strong>of</strong>f Data Centre(GRDC). The model itself has been set up using globaldatasets <strong>on</strong>ly, such that <strong>the</strong> modeling procedure is generallyportable to o<strong>the</strong>r areas <strong>of</strong> <strong>the</strong> world including data poorenvir<strong>on</strong>ments. The hydrological model used is a tightcoupling <strong>of</strong> a land surface model, which c<strong>on</strong>ceptualizes <strong>the</strong>processes above and in <strong>the</strong> unsaturated z<strong>on</strong>e layer, and aMODFLOW-based groundwater model simulating saturatedlateral flow. Toge<strong>the</strong>r both model parts simulate <strong>the</strong>dynamic interacti<strong>on</strong> between surface water and groundwaterbodies, and between <strong>the</strong> unsaturated soil and <strong>the</strong> saturatedgroundwater z<strong>on</strong>es <strong>on</strong> a daily basis and with a spatialresoluti<strong>on</strong> <strong>of</strong> 1 km. Calibrati<strong>on</strong> is carried out by adjustingaquifer characteristics, and land surface and soil physicalparameters. State variables used in calibrati<strong>on</strong> are <strong>the</strong>unsaturated z<strong>on</strong>e/soil moisture storage and river discharge.Here we performed two calibrati<strong>on</strong> methods: (i) calibrate <strong>the</strong>model using river discharge measurements <strong>on</strong>ly; and (ii)calibrate <strong>the</strong> model by using a combinati<strong>on</strong> <strong>of</strong> riverdischarge and remotely sensed ERS SWI (soil moisture)products. Results are promising and suggest that it ispossible to use satellite remote sensing derived products asan additi<strong>on</strong>al c<strong>on</strong>straint in <strong>the</strong> calibrati<strong>on</strong> <strong>of</strong> large-scalegroundwater models. Comparing <strong>the</strong> model results <strong>of</strong> (i) to(ii) with observed groundwater head time series data, wec<strong>on</strong>clude that important model improvements can be madeby integrating models with remote sensing products. Weargue that, in <strong>the</strong> absence <strong>of</strong> groundwater headmeasurement data, space-borne remote sensing products areuseful products for calibrating groundwater models.Sweigart, MaileDrought Characterizati<strong>on</strong> <strong>of</strong> <strong>the</strong> Las Vegas Valleyusing Satellite Observati<strong>on</strong>s <strong>of</strong> TerrestrialGroundwater StorageSweigart, Maile 1 ; Nowicki, Scott 11. University <strong>of</strong> Nevada, Las Vegas, Las Vegas, NV, USAThe declining water levels <strong>of</strong> <strong>the</strong> Las Vegas Valleyaquifers and <strong>the</strong> half-empty Lake Mead is an issue <strong>of</strong> greatc<strong>on</strong>cern. The decrease <strong>of</strong> water storage in <strong>the</strong> regi<strong>on</strong> can beattributed to natural envir<strong>on</strong>mental factors, such aschanging rainfall patterns and evaporati<strong>on</strong>, but climatechange may also be a c<strong>on</strong>tributing factor. This projectutilizes data from NASA and numerous o<strong>the</strong>r agencies forhydrogeological comparis<strong>on</strong>s and calculati<strong>on</strong>s to assess <strong>the</strong>possible effect <strong>of</strong> climate change <strong>on</strong> groundwater storage in<strong>the</strong> Las Vegas Valley. Historical hydrogeological data from<strong>the</strong> area, combined with satellite imagery observati<strong>on</strong>s, werecollected and various calculati<strong>on</strong>s were made for datacomparis<strong>on</strong>s. Analyzed results reveal trends in <strong>the</strong> decliningwater levels in Lake Mead and <strong>the</strong> Las Vegas Valley aquifersin recent years. Graphed results show similar trends betweenGRACE (Gravity Recovery and Climate Experiment) satellitedata and <strong>the</strong> declining levels <strong>of</strong> Lake Mead. The observati<strong>on</strong>s<strong>of</strong> GRACE total water storage, precipitati<strong>on</strong>,evapotranspirati<strong>on</strong> and <strong>the</strong> net flux <strong>of</strong> water in <strong>the</strong> area allshow a similar trending decline in yearly wateraccumulati<strong>on</strong>, which may be indicators <strong>of</strong> <strong>the</strong> impact <strong>of</strong>drought and climate change in Sou<strong>the</strong>rn Nevada. This datawill not <strong>on</strong>ly help predict future water level decreases <strong>of</strong> <strong>the</strong>lake, but it will also show any adverse affects that climatechange may be having <strong>on</strong> <strong>the</strong> area. As Lake Mead declines,<strong>the</strong>re will be a corresp<strong>on</strong>ding increase in <strong>the</strong> rate at which<strong>the</strong> Las Vegas metropolitan area will be dependent <strong>on</strong> itsaquifers for water. Due to <strong>the</strong> fact that treated Lake Meadwater is used to recharge aquifers, <strong>the</strong> decreasing water levels<strong>of</strong> <strong>the</strong> lake could also affect aquifer-recharging efforts. Theanalyzed hydrogeological data will reveal any impact <strong>of</strong>climate change not <strong>on</strong>ly <strong>on</strong> Lake Mead, but also <strong>the</strong> impactit has <strong>on</strong> <strong>the</strong> groundwater in <strong>the</strong> aquifers and, in turn, <strong>the</strong>impact it has <strong>on</strong> <strong>the</strong> Las Vegas metropolitan area’s watersupply in general.Swens<strong>on</strong>, Sean C.A Gridded GRACE Total Water Storage Dataset forHydrological Applicati<strong>on</strong>sSwens<strong>on</strong>, Sean C. 1 ; Landerer, Felix W. 21. NCAR, Boulder, CO, USA2. Jet Propulsi<strong>on</strong> Laboratory, Pasadena, CA, USASince about 2003, <strong>the</strong> GRACE satellite missi<strong>on</strong> hasgenerated data that have been used to estimate total waterstorage variati<strong>on</strong>s. These data have been valuable form<strong>on</strong>itoring groundwater and surface water changes, regi<strong>on</strong>alwater balance studies, and model evaluati<strong>on</strong>. However,widespread utilizati<strong>on</strong> <strong>of</strong> GRACE data has been hindered by<strong>the</strong> need for sophisticated data-processing techniques. In139
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esilience to hydrological hazards a
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Alfieri, Joseph G.The Factors Influ
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Montana and Oregon. Other applicati
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accuracy of snow derivation from si
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climate and land surface unaccounte
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further verified that even for conv
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Courault, DominiqueAssessment of mo
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storage change solutions in the for
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Famiglietti, James S.Getting Real A
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mission and will address the follow
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Gan, Thian Y.Soil Moisture Retrieva
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match the two sets of estimates. Th
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producing CGF snow cover products.
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performance of the AWRA-L model for
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