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Irrigation decision survey data for the Willamette Water 2100 project

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  • These data were collected using a survey of a sample of farmers in the Willamette Valley. The objective was to estimate a relationship between the decision to irrigate a field (one with an existing irrigation water right), and factors such as land characteristics, climate, current weather, and market prices. The results of the analysis provided a basis for a probabilistic relationship for irrigating each field in the study with irrigation water rights in a given year. Overall farmers irrigate these field about two years out of three. For example, the probability of irrigating was found to be higher when early season precipitation is relatively low. These functions were introduced as relationships for each agricultural parcel (polygon) with irrigation water rights in the irrigation decision model of Willamette Envision, the computer model developed by the Willamette Water 2100 Project. This dataset was collected as a part of the Willamette Water 2100 project, which evaluates how climate change, population growth, and economic growth will change the availability and the use of water in the Willamette River Basin (WRB) on a decadal to centennial timescale. The five-year project began in October 2010, and is a collaborative effort of faculty from Oregon State University (OSU), the University of Oregon (UO), and Portland State University (PSU).
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  • description.provenance : Submitted by Steven Van Tuyl (steve.vantuyl@oregonstate.edu) on 2016-04-01T20:42:29ZNo. of bitstreams: 5license_rdf: 1089 bytes, checksum: 0a703d871bf062c5fdc7850b1496693b (MD5)IrrigationSurvey_readme.txt: 13842 bytes, checksum: 90fd3406d541895a132185262e027939 (MD5)Irrigation_Survey_Data.csv: 4281063 bytes, checksum: f6a736f66f58a9bcf1ba5f189f41504a (MD5)IrrigationSurvey_DataDictionary.csv: 9306 bytes, checksum: 7bb77bc6315a5cffede32a8ca071270d (MD5)OSU_irrigation_survey.pdf: 262118 bytes, checksum: f5fb17dd7ed428034ff1049940e4852d (MD5)
  • description.provenance : Approved for entry into archive by Steven Van Tuyl(steve.vantuyl@oregonstate.edu) on 2016-04-04T16:39:27Z (GMT) No. of bitstreams: 5license_rdf: 1089 bytes, checksum: 0a703d871bf062c5fdc7850b1496693b (MD5)IrrigationSurvey_readme.txt: 13842 bytes, checksum: 90fd3406d541895a132185262e027939 (MD5)Irrigation_Survey_Data.csv: 4281063 bytes, checksum: f6a736f66f58a9bcf1ba5f189f41504a (MD5)IrrigationSurvey_DataDictionary.csv: 9306 bytes, checksum: 7bb77bc6315a5cffede32a8ca071270d (MD5)OSU_irrigation_survey.pdf: 262118 bytes, checksum: f5fb17dd7ed428034ff1049940e4852d (MD5)
  • description.provenance : Made available in DSpace on 2016-04-04T16:39:27Z (GMT). No. of bitstreams: 5license_rdf: 1089 bytes, checksum: 0a703d871bf062c5fdc7850b1496693b (MD5)IrrigationSurvey_readme.txt: 13842 bytes, checksum: 90fd3406d541895a132185262e027939 (MD5)Irrigation_Survey_Data.csv: 4281063 bytes, checksum: f6a736f66f58a9bcf1ba5f189f41504a (MD5)IrrigationSurvey_DataDictionary.csv: 9306 bytes, checksum: 7bb77bc6315a5cffede32a8ca071270d (MD5)OSU_irrigation_survey.pdf: 262118 bytes, checksum: f5fb17dd7ed428034ff1049940e4852d (MD5)
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file details OSU_irrigation_survey.pdf 10/10/2017 Public
file details Irrigation_Survey_Data.csv 10/10/2017 Public
file details IrrigationSurvey_DataDictionary.csv 10/10/2017 Public
file details IrrigationSurvey_readme.txt 10/10/2017 Public