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2012 AGU Chapman Conference on Remote Sensing of the ...

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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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