2008 using two different calibrati<strong>on</strong> schemes for Manning’sn. First, <strong>the</strong> model is calibrated in terms <strong>of</strong> water elevati<strong>on</strong>sfrom a single in situ gauge that represents a more traditi<strong>on</strong>alapproach. Due to <strong>the</strong> gauge locati<strong>on</strong> in <strong>the</strong> channel, <strong>the</strong>calibrati<strong>on</strong> shows more sensitivity to channel roughnessrelative to floodplain roughness. Sec<strong>on</strong>d, <strong>the</strong> model iscalibrated in terms <strong>of</strong> water elevati<strong>on</strong> changes calculatedfrom ALOS PALSAR interferometry during 46 days <strong>of</strong> <strong>the</strong>image acquisiti<strong>on</strong> interval from 16 April 2008 to 1 June2009. Since SAR interferometry receives str<strong>on</strong>gly scatters infloodplain due to double bounce effect as compared tospecular scattering <strong>of</strong> open water, <strong>the</strong> calibrati<strong>on</strong> showsmore dependency to floodplain roughness. An iterativeapproach is used to determine <strong>the</strong> best-fit Manning’s n for<strong>the</strong> two different calibrati<strong>on</strong> approaches. Results suggestsimilar floodplain roughness but slightly different channelroughness. However, applicati<strong>on</strong> <strong>of</strong> SAR interferometryprovides a unique view <strong>of</strong> <strong>the</strong> floodplain flow gradients, notpossible with a single gauge calibrati<strong>on</strong>. These gradients,allow improved computati<strong>on</strong> <strong>of</strong> water storage change over<strong>the</strong> 46-day simulati<strong>on</strong> period. Overall, <strong>the</strong> results suggestthat <strong>the</strong> use <strong>of</strong> 2D SAR water elevati<strong>on</strong> changes in <strong>the</strong>Atchafalaya basin <strong>of</strong>fers improved understanding andmodeling <strong>of</strong> floodplain hydrodynamics.Kahime, KholoudWater Vulnerability, Agriculture and EnergyImpacts <strong>of</strong> Climate Change in Morocco: A CaseStudy <strong>the</strong> Regi<strong>on</strong> <strong>of</strong> AgadirKahime, Kholoud 1 ; Messouli, Mohammed 11. University <strong>of</strong> Marrakech, Marrakech, MoroccoOver Morocco, <strong>the</strong> Intergovernmental Panel <strong>on</strong> ClimateChange models predict a warming between <strong>of</strong> 0.6 C to 1.1 Cand a 4% reducti<strong>on</strong> in rainfall by 2020. These climatechanges will have adverse effects <strong>on</strong> ecosystems and waterresources. Marine ecosystems, vegetati<strong>on</strong> cover and inparticular agriculture will be severely affected. This study,performed over <strong>the</strong> regi<strong>on</strong> Agadir, is aimed at assessing <strong>the</strong>vulnerability <strong>of</strong> this regi<strong>on</strong> to climate change, and thisthrough a survey <strong>of</strong> 240 people including policy makers,farmers, employees <strong>of</strong> <strong>the</strong> tourism sector, youth anddifferent social actors representing <strong>the</strong> entire regi<strong>on</strong>. Thestudy shows that water and agriculture sectors are highlyvulnerable and unless some measures are taken, predictablec<strong>on</strong>sequences will ensue. The study also shows that <strong>the</strong>re isno engagement from citizens, which make <strong>the</strong> situati<strong>on</strong> evenunsustainable and no real communicati<strong>on</strong> between policymakers and <strong>the</strong> public. The study also stresses <strong>the</strong>immediate need to learn and include <strong>the</strong> remote sensing <strong>of</strong>terrestrial water in <strong>the</strong> water management in Morocco.Keywords: vulnerability, water, Water remote sensing,agriculture, climate change, Morocco, adaptati<strong>on</strong>.Kappas, MartinSimulati<strong>on</strong> <strong>of</strong> water balance comp<strong>on</strong>ents in awatershed located in central drainage basin <strong>of</strong> IranRafiei Emam, Ammar 1 ; Kappas, Martin 11. Cartography, GIS and <strong>Remote</strong> <strong>Sensing</strong>, University <strong>of</strong>Goettingen, Goettingen, GermanyKnowledge <strong>of</strong> water balance comp<strong>on</strong>ents is useful forwater resources analysis and <strong>the</strong> management <strong>of</strong> watersheds,<strong>the</strong> rehabilitati<strong>on</strong> <strong>of</strong> an area, <strong>the</strong> preventi<strong>on</strong> <strong>of</strong> landdegradati<strong>on</strong>, <strong>the</strong> estimati<strong>on</strong> <strong>of</strong> water availability forirrigati<strong>on</strong> or <strong>the</strong> calculati<strong>on</strong> <strong>of</strong> sustainable groundwaterwithdrawal. In this study, simulati<strong>on</strong> <strong>of</strong> <strong>the</strong> hydrologicalsituati<strong>on</strong> in <strong>the</strong> catchment has been performed by SWAT(Soil and Water Assessment Tool). The model calibrati<strong>on</strong> bySWAT is time c<strong>on</strong>suming, so in this study SUFI-2(Sequential Uncertainly Fitting Ver. 2) was used to evaluateSWAT by performing calibrati<strong>on</strong> and uncertainly analysisbased <strong>on</strong> river discharge. SUFI-2 is a semi-automated inversemodeling procedure for combined calibrati<strong>on</strong>-uncertainlyanalysis. For this aim, meteorological data measured duringa l<strong>on</strong>g period time (1976-2010) were collected. A landuse/land cover map was created by supervised classificati<strong>on</strong>method from satellite images dated in 2009. A soil map wasgenerated using soil pr<strong>of</strong>ile informati<strong>on</strong> for each land type.All data were integrated in a geographical informati<strong>on</strong>system (GIS). In order to study <strong>the</strong> water balancecomp<strong>on</strong>ents, <strong>the</strong> watershed was divided into 87 subcatchmentaccording to digital elevati<strong>on</strong>, flow directi<strong>on</strong> andflow accumulati<strong>on</strong> in <strong>the</strong> entire watershed. Then in eachsub-catchment water comp<strong>on</strong>ents such as surface run<strong>of</strong>f,percolati<strong>on</strong>, evapotranspirati<strong>on</strong> and soil moisture wasestimated. The final results show <strong>the</strong> spatial and temporaldistributi<strong>on</strong> <strong>of</strong> water balance comp<strong>on</strong>ents in <strong>the</strong> watershed.With this informati<strong>on</strong> a future management <strong>of</strong> <strong>the</strong>watershed in <strong>the</strong> directi<strong>on</strong> <strong>of</strong> an optimized water utilizati<strong>on</strong>is possible. For <strong>the</strong> future, <strong>of</strong> course it is possible to estimatewater balance comp<strong>on</strong>ents with remotely sensed data andcompare it with our hydrological model.Kappas, MartinSimulati<strong>on</strong> <strong>of</strong> water balance comp<strong>on</strong>ents in awatershed located in central drainage basin <strong>of</strong> Iranby A. Rafiei Emam and Martin W. KappasKappas, Martin 1 ; Rafiei, Ammar 11. Geography, University <strong>of</strong> Goettingen, Goettingen,GermanyAbstract Knowledge <strong>of</strong> water balance comp<strong>on</strong>ents isuseful for water resources analysis and management <strong>of</strong>watershed, rehabilitati<strong>on</strong> <strong>of</strong> area, preventi<strong>on</strong> <strong>of</strong> landdegradati<strong>on</strong>, estimati<strong>on</strong> <strong>of</strong> water availability for irrigati<strong>on</strong>,calculati<strong>on</strong> amount <strong>of</strong> groundwater withdrawal and etc. Inthis study for simulati<strong>on</strong> <strong>of</strong> hydrological model we used Soiland Water Assessment Tools (SWAT) and <strong>the</strong>n SUFI-2 wasused to calibrate and validate a model based <strong>on</strong> riverdischarge. For this aim measured <strong>of</strong> meteorological data in80
l<strong>on</strong>g period time (1976-2010) was collected. Land use/landcover map was created with a supervised classificati<strong>on</strong>method with satellite images dated in 2009. Soil map weregenerated using soil pr<strong>of</strong>ile informati<strong>on</strong> in each land types.Slope was mapping in geographical informati<strong>on</strong> system. Inorder to study <strong>the</strong> water balance comp<strong>on</strong>ents, watershed wasdivided to 87 sub catchment according to digital elevati<strong>on</strong>model and flow directi<strong>on</strong> and flow accumulati<strong>on</strong>. Then ineach sub catchment water comp<strong>on</strong>ents such as surfacerun<strong>of</strong>f, percolati<strong>on</strong>, evapotranspirati<strong>on</strong> and soil moisturewas estimated. The final results show <strong>the</strong> spatial andtemporal distributi<strong>on</strong> <strong>of</strong> water balance comp<strong>on</strong>ents inwatershed. With this informati<strong>on</strong> we can planning andmanagement <strong>of</strong> watershed in order to optimized utilizati<strong>on</strong><strong>of</strong> water. For <strong>the</strong> future, <strong>of</strong> course it is possible to estimatewater balance comp<strong>on</strong>ents with remotely sensed data andcompare it with hydrological model. Keywords: Hydrologicalmodel, SWAT, SUFI-2http://www.uni-goettingen.de/de/sh/36647.htmlKarimi, Poolad<strong>Remote</strong> sensing applicati<strong>on</strong> to support wateraccounting in <strong>the</strong> transboundary Indus BasinKarimi, Poolad 1, 2 ; Bastiaanssen, Wim 2, 3 ; Cheema,Muhammad J. 2 ; Molden, David 41. Internati<strong>on</strong>al Water Management Institute, Battaramulla,Sri Lanka2. Water management, TU Delft, Delft, Ne<strong>the</strong>rlands3. WaterWatch, Wageningen, Ne<strong>the</strong>rlands4. Internati<strong>on</strong>al Centre for Integrated MountainDevelopment, Kathmandu, NepalOver <strong>the</strong> last 50 years <strong>the</strong> world has changed from asituati<strong>on</strong> where water appeared abundant, to a situati<strong>on</strong> <strong>of</strong>water scarcity. Changes in populati<strong>on</strong>, changing diets,ec<strong>on</strong>omic growth, are behind <strong>the</strong> increase in water use.Hence, <strong>the</strong> water sector calls for a better management so that<strong>the</strong> growing demands can be met in future. Paramount tobetter management is an appropriate understanding <strong>of</strong> <strong>the</strong>actual river basin c<strong>on</strong>diti<strong>on</strong>s, based <strong>on</strong> factual datacombined with a way to recognize opportunities forimplementing and improving integrated water resourcesmanagement. Water accounting provides such an insightinto water flows in river basins. However, availability <strong>of</strong> data<strong>on</strong> water flows, and c<strong>on</strong>sumpti<strong>on</strong>s is a major c<strong>on</strong>straint forreliable water accounting in many river basins around <strong>the</strong>world. In this paper we show how remote sensing can beemployed to fill <strong>the</strong> data gaps and to provide acomprehensive picture <strong>on</strong> water balance and watershedprocesses in a basin. The study focuses <strong>on</strong> <strong>the</strong> Indus which is<strong>on</strong>e <strong>of</strong> <strong>the</strong> most densely-populated and hydrologicallycomplex river basins <strong>of</strong> <strong>the</strong> world. Informati<strong>on</strong> <strong>on</strong>evaporati<strong>on</strong> (E) and transpirati<strong>on</strong> (T), estimated usingETLook remote sensing model, toge<strong>the</strong>r with calibratedTRMM rainfall and land use land cover map (LULC) wereused to prepare water accounts for 2007. For <strong>the</strong> purpose <strong>the</strong>Water accounting plus framework (WA+) was introduced.The WA+ is a tool that provides explicit informati<strong>on</strong> <strong>on</strong>water flows and c<strong>on</strong>sumpti<strong>on</strong>s in a basin with a str<strong>on</strong>g linkto land use management and has been essentially designedto allow use <strong>of</strong> satellite measurement. The results <strong>of</strong> <strong>the</strong>accounting exercise show that <strong>the</strong> gross inflow to <strong>the</strong> basinwas 442 billi<strong>on</strong> cubic meter (bcm). The net inflow, grossinflow plus storage changes, was 523 bcm <strong>of</strong> which 96%, 502bcm, is depleted. Landscape ET, ET that occurs directly fromrainfall, was 343 bcm. Incremental ET, or net withdrawals,was 158 bcm. Incremental ET is <strong>the</strong> abstracted water that isc<strong>on</strong>sumed through ET and does not return to <strong>the</strong> systems.Surface and groundwater storages declined by 6.4 and 74bcm respectively in <strong>the</strong> accounting period. This implies how<strong>the</strong> basin is dependent to <strong>the</strong> groundwater and how <strong>the</strong> fastdecline <strong>of</strong> groundwater can lead to food security issues if <strong>the</strong>situati<strong>on</strong> remains unchanged. The annual outflow <strong>of</strong> 21.3bcm is more than <strong>the</strong> required envir<strong>on</strong>mental flow <strong>of</strong> 12.3bcm. However, seas<strong>on</strong>al water accounts show that majority<strong>of</strong> <strong>the</strong> outflow, 17.1 bcm happens during Kharif (wetsummer) and in Rabi (winter) <strong>the</strong> outflow is 2 bcm less thanrequired flow. The difference between outflows and <strong>the</strong>envir<strong>on</strong>mental flow, Utilizable flow, is 8 bcm which can beutilized by increasing surface storage. This will not <strong>on</strong>lylessen <strong>the</strong> pressure <strong>on</strong> groundwater resources but also willhelp to maintain <strong>the</strong> required envir<strong>on</strong>mental flowthroughout <strong>the</strong> year. However with future growth indemand, and questi<strong>on</strong>s about supply given climate changeimpact <strong>on</strong> glacial and snowmelt and resulting patterns <strong>of</strong>water availability, <strong>the</strong> Indus will c<strong>on</strong>tinue to face waterscarcity problems. These results provide an importantbaseline from which better strategies for <strong>the</strong> future can bedeveloped.Kelly, Jacque L.Practical applicati<strong>on</strong>s <strong>of</strong> infrared imagery forinvestigating submarine groundwater dischargeand o<strong>the</strong>r <strong>the</strong>rmal anomalies in coastal z<strong>on</strong>esKelly, Jacque L. 1 ; Glenn, Craig R. 1 ; Lucey, Paul G. 21. Geology and Geophysics, University <strong>of</strong> Hawaii at Manoa,H<strong>on</strong>olulu, HI, USA2. Hawaii Institute <strong>of</strong> Geophysics and Planetology,University <strong>of</strong> Hawaii at Manoa, H<strong>on</strong>olulu, HI, USAAirborne <strong>the</strong>rmal infrared remote sensing is a highlyeffective tool for mapping locati<strong>on</strong>s, surface distributi<strong>on</strong>s,and mixing characteristics <strong>of</strong> terrestrial groundwaterdischarge to <strong>the</strong> coastal ocean where even subtle temperaturedifferences exist between <strong>the</strong> receiving waters and <strong>the</strong>discharging water. The spatially and temporally variablenature <strong>of</strong> submarine groundwater discharge (SGD) and itsmixing with seawater necessitates rapid, high-resoluti<strong>on</strong>data acquisiti<strong>on</strong> techniques, <strong>of</strong> which airborne <strong>the</strong>rmalinfrared remote sensing is uniquely qualified. We have used<strong>the</strong>rmal infrared images acquired at 762 m – 2743 m altitudeto generate 0.5 m – 3.2 m resoluti<strong>on</strong> sea-surface temperaturemaps with
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Selkowitz, DavidExploring Landsat-d
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used. PIHM has ability to simulate