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Mean areal precipitation method impact on runoff simulation
dc.contributor.advisorDaňhelka, Jan
dc.creatorJanková, Jana
dc.date.accessioned2017-04-18T10:00:34Z
dc.date.available2017-04-18T10:00:34Z
dc.date.issued2009
dc.identifier.urihttp://hdl.handle.net/20.500.11956/20498
dc.description.abstractWork presents physical geography of the Úpa River basin from the point of view of geology, geomorphology and soil characteristics. Climate, hydrography and hydrology are described in more detail. Úpa River basin is specific in its shape and position in the headwater where runoff is generated. Four sub-basins (Horní Maršov, Horní Staré Město, Slatina nad Úpou and Zlíč) were used for evaluation of mean areal precipitation (MAP) computation method impact on simulated flows. MAPs were computed for four intense rainfall episodes using arithmetic, Thiessen polygon and different settings of inverse distance method (= 2 or 3). These MAPs enter into hydrological forecasting and modeling system AquaLog that includes rainfall runoff model SAC-SMA. AquaLog and SAC-SMA are also described in this thesis. Modeled runoff series (based on different initial conditions) were analyzed in the meaning total runoff, peak flow, and fast runoff components (surface, sub-surface and direct). Results show that optimal results in the higher part of the basin provide inverse distance method with  set to 3. Powered by TCPDF (www.tcpdf.org)en_US
dc.languageČeštinacs_CZ
dc.language.isocs_CZ
dc.publisherUniverzita Karlova, Přírodovědecká fakultacs_CZ
dc.titleVliv způsobu odvození plošné srážky na simulaci odtoku z povodícs_CZ
dc.typediplomová prácecs_CZ
dcterms.created2009
dcterms.dateAccepted2009-05-27
dc.description.departmentDepartment of Physical Geography and Geoecologyen_US
dc.description.departmentKatedra fyzické geografie a geoekologiecs_CZ
dc.description.facultyFaculty of Scienceen_US
dc.description.facultyPřírodovědecká fakultacs_CZ
dc.identifier.repId33909
dc.title.translatedMean areal precipitation method impact on runoff simulationen_US
dc.contributor.refereeČekal, Radek
dc.identifier.aleph001125355
thesis.degree.nameMgr.
thesis.degree.levelnavazující magisterskécs_CZ
thesis.degree.disciplineFyzická geografie a geoekologiecs_CZ
thesis.degree.disciplinePhysical Geography and Geoecologyen_US
thesis.degree.programGeografiecs_CZ
thesis.degree.programGeographyen_US
uk.thesis.typediplomová prácecs_CZ
uk.taxonomy.organization-csPřírodovědecká fakulta::Katedra fyzické geografie a geoekologiecs_CZ
uk.taxonomy.organization-enFaculty of Science::Department of Physical Geography and Geoecologyen_US
uk.faculty-name.csPřírodovědecká fakultacs_CZ
uk.faculty-name.enFaculty of Scienceen_US
uk.faculty-abbr.csPřFcs_CZ
uk.degree-discipline.csFyzická geografie a geoekologiecs_CZ
uk.degree-discipline.enPhysical Geography and Geoecologyen_US
uk.degree-program.csGeografiecs_CZ
uk.degree-program.enGeographyen_US
thesis.grade.csVýborněcs_CZ
thesis.grade.enExcellenten_US
uk.abstract.enWork presents physical geography of the Úpa River basin from the point of view of geology, geomorphology and soil characteristics. Climate, hydrography and hydrology are described in more detail. Úpa River basin is specific in its shape and position in the headwater where runoff is generated. Four sub-basins (Horní Maršov, Horní Staré Město, Slatina nad Úpou and Zlíč) were used for evaluation of mean areal precipitation (MAP) computation method impact on simulated flows. MAPs were computed for four intense rainfall episodes using arithmetic, Thiessen polygon and different settings of inverse distance method (= 2 or 3). These MAPs enter into hydrological forecasting and modeling system AquaLog that includes rainfall runoff model SAC-SMA. AquaLog and SAC-SMA are also described in this thesis. Modeled runoff series (based on different initial conditions) were analyzed in the meaning total runoff, peak flow, and fast runoff components (surface, sub-surface and direct). Results show that optimal results in the higher part of the basin provide inverse distance method with  set to 3. Powered by TCPDF (www.tcpdf.org)en_US
uk.file-availabilityV
uk.publication.placePrahacs_CZ
uk.grantorUniverzita Karlova, Přírodovědecká fakulta, Katedra fyzické geografie a geoekologiecs_CZ
dc.identifier.lisID990011253550106986


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