{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/83415"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/83415","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Modeling Human Interferences to Hydrologic Systems","abstract":"However, current data availability of human activities is limited and water use data involve considerable uncertainties. Corresponding to this issue, the goal of this thesis research is to improve the understanding of the coupled human and hydrological systems by detecting, estimating and modeling both indirect and direct human interferences. This thesis research is expected to advance more accurate understanding of human interferences to hydrologic systems, as well as providing new methodology to study heavily managed watersheds as coupled human-natural systems. The broader impact of the scientific exploration includes: (1) water use estimation -- an extension of the irrigation scheduling approach; (2) farmers' behavior of water use, which, if coupled with economic analysis, may be used to explain water use decisions and derive implications for water saving; (3) methodology in dealing with comprehensive input errors in hydrologic modeling, which attempts to bring human input data errors to the attention of hydrologic modeling community; and (4) new sequential data assimilation approaches, which are expected to be used for other problems.","abstract_html":"However, current data availability of human activities is limited and water use data involve considerable uncertainties. Corresponding to this issue, the goal of this thesis research is to improve the understanding of the coupled human and hydrological systems by detecting, estimating and modeling both indirect and direct human interferences. This thesis research is expected to advance more accurate understanding of human interferences to hydrologic systems, as well as providing new methodology to study heavily managed watersheds as coupled human-natural systems. The broader impact of the scientific exploration includes: (1) water use estimation -- an extension of the irrigation scheduling approach; (2) farmers' behavior of water use, which, if coupled with economic analysis, may be used to explain water use decisions and derive implications for water saving; (3) methodology in dealing with comprehensive input errors in hydrologic modeling, which attempts to bring human input data errors to the attention of hydrologic modeling community; and (4) new sequential data assimilation approaches, which are expected to be used for other problems.","abstract_has_math":false,"creators":["Wang, Dingbao"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Civil Engineering","degree_department":null,"school":null,"contributors":["Cai, Ximing"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-09-25T21:04:46Z","date_published":"2015-09-25T21:04:46Z","updated_at":"2026-07-22T22:26:21Z","subjects":["Engineering, Civil"],"languages":["eng"],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["(MiAaPQ)AAI3395528"],"render_values":[{"text":"(MiAaPQ)AAI3395528","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/2142/83415","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Cai, Ximing"]},{"key":"dc:creator","label":"Author","values":["Wang, Dingbao"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2015-09-25T21:04:46Z","10000-01-01","2009"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Civil Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Engineering, Civil"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/83415","(MiAaPQ)AAI3395528"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["However, current data availability of human activities is limited and water use data involve considerable uncertainties. Corresponding to this issue, the goal of this thesis research is to improve the understanding of the coupled human and hydrological systems by detecting, estimating and modeling both indirect and direct human interferences. This thesis research is expected to advance more accurate understanding of human interferences to hydrologic systems, as well as providing new methodology to study heavily managed watersheds as coupled human-natural systems. The broader impact of the scientific exploration includes: (1) water use estimation -- an extension of the irrigation scheduling approach; (2) farmers' behavior of water use, which, if coupled with economic analysis, may be used to explain water use decisions and derive implications for water saving; (3) methodology in dealing with comprehensive input errors in hydrologic modeling, which attempts to bring human input data errors to the attention of hydrologic modeling community; and (4) new sequential data assimilation approaches, which are expected to be used for other problems.","Made available in DSpace on 2015-09-25T21:04:46Z (GMT). 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Corresponding to this issue, the goal of this thesis research is to improve the understanding of the coupled human and hydrological systems by detecting, estimating and modeling both indirect and direct human interferences. This thesis research is expected to advance more accurate understanding of human interferences to hydrologic systems, as well as providing new methodology to study heavily managed watersheds as coupled human-natural systems. The broader impact of the scientific exploration includes: (1) water use estimation -- an extension of the irrigation scheduling approach; (2) farmers' behavior of water use, which, if coupled with economic analysis, may be used to explain water use decisions and derive implications for water saving; (3) methodology in dealing with comprehensive input errors in hydrologic modeling, which attempts to bring human input data errors to the attention of hydrologic modeling community; and (4) new sequential data assimilation approaches, which are expected to be used for other problems.","Made available in DSpace on 2015-09-25T21:04:46Z (GMT). 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