Watershed Modeling by Remote Sensing and AGWA - SWAT for Western Portion of Cusco Watershed - Peru

Persistent Link:
http://hdl.handle.net/10150/193359
Title:
Watershed Modeling by Remote Sensing and AGWA - SWAT for Western Portion of Cusco Watershed - Peru
Author:
Pumayalli, Rene
Issue Date:
2008
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
Erosion and flooding in the Cusco watershed have increased over the last 30 years due to urban growth and incorrect use of natural resources. New data for a section of the watershed were created with satellite image, spatial data, and geoprocessing software including Erdas Imagine 9.1 and ArcInfo and free information and software in the public domain on the internet. AGWA2.0 - SWAT modeling software used the data to assess the actual conditions of the study area (Model 1) including sediment yield, water yield, percolation, and stream flow. Then, two models were created by altering the conditions of the land cover/use grid: Model 2 changed the bare soil class into contour trenches, and Model 3 changed bare soil class into trees or forest. A comparison of Models 2 and 3 with the current state (Model 1) found that forestation, Model 3, would greatly decrease flooding and increase water infiltration.
Type:
text; Electronic Thesis
Keywords:
AGWA; hydrogeology; aquifer; watershed management; natural resources
Degree Name:
MS
Degree Level:
masters
Degree Program:
Natural Resources; Graduate College
Degree Grantor:
University of Arizona
Advisor:
Guertin, D. Phillip
Committee Chair:
Guertin, D. Phillip

Full metadata record

DC FieldValue Language
dc.language.isoENen_US
dc.titleWatershed Modeling by Remote Sensing and AGWA - SWAT for Western Portion of Cusco Watershed - Peruen_US
dc.creatorPumayalli, Reneen_US
dc.contributor.authorPumayalli, Reneen_US
dc.date.issued2008en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractErosion and flooding in the Cusco watershed have increased over the last 30 years due to urban growth and incorrect use of natural resources. New data for a section of the watershed were created with satellite image, spatial data, and geoprocessing software including Erdas Imagine 9.1 and ArcInfo and free information and software in the public domain on the internet. AGWA2.0 - SWAT modeling software used the data to assess the actual conditions of the study area (Model 1) including sediment yield, water yield, percolation, and stream flow. Then, two models were created by altering the conditions of the land cover/use grid: Model 2 changed the bare soil class into contour trenches, and Model 3 changed bare soil class into trees or forest. A comparison of Models 2 and 3 with the current state (Model 1) found that forestation, Model 3, would greatly decrease flooding and increase water infiltration.en_US
dc.typetexten_US
dc.typeElectronic Thesisen_US
dc.subjectAGWAen_US
dc.subjecthydrogeologyen_US
dc.subjectaquiferen_US
dc.subjectwatershed managementen_US
dc.subjectnatural resourcesen_US
thesis.degree.nameMSen_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineNatural Resourcesen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorGuertin, D. Phillipen_US
dc.contributor.chairGuertin, D. Phillipen_US
dc.contributor.committeememberShaw, Williamen_US
dc.contributor.committeememberHiller, Joseph G.en_US
dc.contributor.committeememberWissler, Craigen_US
dc.identifier.proquest2896en_US
dc.identifier.oclc659749942en_US
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