{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/110740"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/110740","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"The analysis of reservoir operation rules in the southwestern United States using a hidden Markov-decision tree model","abstract":"Realistic reservoir operation is an important component in basin hydrological models. However, the operation rules can be complex under various situations and are not well understood yet. The objective of the study is to find out patterns of actual reservoir operation rules in a specific region under different conditions. The results are helpful to understand realistic reservoir operation behaviors. Moreover, the work will contribute to building a reservoir component for hydrological models and provide references for improving reservoir operation decisions in the future. A hidden Markov-decision tree (HM-DT) model is applied in this study. Hidden Markov Model is used to describe the transition between operation states while each state corresponds to a decision tree model to determine daily reservoir releases. This study collected the historical records of 66 reservoirs in the southwestern United States and 8 reservoirs in the northern United States and identified their regional representative operation modules. A comparison between the representative operation modules was conducted to show the spatial variability of reservoir operations. Further, by analyzing the historical operation patterns of several reservoirs, the transitions between operation rules in different time periods were explored, including periodicity and special responses to floods. The operation rules adopted by reservoirs with different operation functions are also analyzed and compared. A robustness analysis was performed to confirm the robustness of the HM-DT model outputs. Finally, several attempts have been made to link the HM-DT model with Soil and Water Assessment Tool (SWAT) and future work is proposed.","abstract_html":"Realistic reservoir operation is an important component in basin hydrological models. However, the operation rules can be complex under various situations and are not well understood yet. The objective of the study is to find out patterns of actual reservoir operation rules in a specific region under different conditions. The results are helpful to understand realistic reservoir operation behaviors. Moreover, the work will contribute to building a reservoir component for hydrological models and provide references for improving reservoir operation decisions in the future. A hidden Markov-decision tree (HM-DT) model is applied in this study. Hidden Markov Model is used to describe the transition between operation states while each state corresponds to a decision tree model to determine daily reservoir releases. This study collected the historical records of 66 reservoirs in the southwestern United States and 8 reservoirs in the northern United States and identified their regional representative operation modules. A comparison between the representative operation modules was conducted to show the spatial variability of reservoir operations. Further, by analyzing the historical operation patterns of several reservoirs, the transitions between operation rules in different time periods were explored, including periodicity and special responses to floods. The operation rules adopted by reservoirs with different operation functions are also analyzed and compared. A robustness analysis was performed to confirm the robustness of the HM-DT model outputs. Finally, several attempts have been made to link the HM-DT model with Soil and Water Assessment Tool (SWAT) and future work is proposed.","abstract_has_math":false,"creators":["Lyu, Lingqi"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Civil Engineering","degree_department":null,"school":null,"contributors":["Cai, Ximing"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2021,"date_issued":"2021-09-17T02:34:47Z","date_published":"2021-09-17T02:34:47Z","updated_at":"2026-07-22T22:24:52Z","subjects":["Reservoir operation","hidden Markov model"],"languages":["en"],"rights":["Copyright 2021 Lingqi Lyu"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/110740","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":["Lyu, Lingqi"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2021-09-17T02:34:47Z","2023-09-17T02:34:57Z","2021-04-27","2021-05"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Civil Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"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":["Reservoir operation","hidden Markov model"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2021 Lingqi Lyu"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/110740"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Realistic reservoir operation is an important component in basin hydrological models. However, the operation rules can be complex under various situations and are not well understood yet. The objective of the study is to find out patterns of actual reservoir operation rules in a specific region under different conditions. The results are helpful to understand realistic reservoir operation behaviors. Moreover, the work will contribute to building a reservoir component for hydrological models and provide references for improving reservoir operation decisions in the future. A hidden Markov-decision tree (HM-DT) model is applied in this study. Hidden Markov Model is used to describe the transition between operation states while each state corresponds to a decision tree model to determine daily reservoir releases. This study collected the historical records of 66 reservoirs in the southwestern United States and 8 reservoirs in the northern United States and identified their regional representative operation modules. A comparison between the representative operation modules was conducted to show the spatial variability of reservoir operations. Further, by analyzing the historical operation patterns of several reservoirs, the transitions between operation rules in different time periods were explored, including periodicity and special responses to floods. The operation rules adopted by reservoirs with different operation functions are also analyzed and compared. A robustness analysis was performed to confirm the robustness of the HM-DT model outputs. Finally, several attempts have been made to link the HM-DT model with Soil and Water Assessment Tool (SWAT) and future work is proposed.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2023-05-01","The student, Lingqi Lyu, accepted the attached license on 2021-04-24 at 09:10.","The student, Lingqi Lyu, submitted this Thesis for approval on 2021-04-24 at 09:21.","This Thesis was approved for publication on 2021-04-27 at 16:26.","DSpace SAF Submission Ingestion Package generated from Vireo submission #16543 on 2021-09-16 at 17:05:11","Made available in DSpace on 2021-09-17T02:34:47Z (GMT). No. of bitstreams: 2 LYU-THESIS-2021.pdf: 5477236 bytes, checksum: 3d90a68921e47915f7998cc488648925 (MD5) LICENSE.txt: 4207 bytes, checksum: a8cd854d68cf402b62e268a49f40af9d (MD5) Previous issue date: 2021-04-27","Embargo set by: Seth Robbins for item 118583 Lift date: 2023-09-17T02:34:57Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","U of I Only"]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["The analysis of reservoir operation rules in the southwestern United States using a hidden Markov-decision tree model"]}]}],"canonical_facts":{"dc:contributor":["Cai, Ximing"],"dc:creator":["Lyu, Lingqi"],"dc:date":["2021-09-17T02:34:47Z","2023-09-17T02:34:57Z","2021-04-27","2021-05"],"dc:description":["Realistic reservoir operation is an important component in basin hydrological models. However, the operation rules can be complex under various situations and are not well understood yet. The objective of the study is to find out patterns of actual reservoir operation rules in a specific region under different conditions. The results are helpful to understand realistic reservoir operation behaviors. Moreover, the work will contribute to building a reservoir component for hydrological models and provide references for improving reservoir operation decisions in the future. A hidden Markov-decision tree (HM-DT) model is applied in this study. Hidden Markov Model is used to describe the transition between operation states while each state corresponds to a decision tree model to determine daily reservoir releases. This study collected the historical records of 66 reservoirs in the southwestern United States and 8 reservoirs in the northern United States and identified their regional representative operation modules. A comparison between the representative operation modules was conducted to show the spatial variability of reservoir operations. Further, by analyzing the historical operation patterns of several reservoirs, the transitions between operation rules in different time periods were explored, including periodicity and special responses to floods. The operation rules adopted by reservoirs with different operation functions are also analyzed and compared. A robustness analysis was performed to confirm the robustness of the HM-DT model outputs. Finally, several attempts have been made to link the HM-DT model with Soil and Water Assessment Tool (SWAT) and future work is proposed.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2023-05-01","The student, Lingqi Lyu, accepted the attached license on 2021-04-24 at 09:10.","The student, Lingqi Lyu, submitted this Thesis for approval on 2021-04-24 at 09:21.","This Thesis was approved for publication on 2021-04-27 at 16:26.","DSpace SAF Submission Ingestion Package generated from Vireo submission #16543 on 2021-09-16 at 17:05:11","Made available in DSpace on 2021-09-17T02:34:47Z (GMT). No. of bitstreams: 2 LYU-THESIS-2021.pdf: 5477236 bytes, checksum: 3d90a68921e47915f7998cc488648925 (MD5) LICENSE.txt: 4207 bytes, checksum: a8cd854d68cf402b62e268a49f40af9d (MD5) Previous issue date: 2021-04-27","Embargo set by: Seth Robbins for item 118583 Lift date: 2023-09-17T02:34:57Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","U of I Only"],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/2142/110740"],"dc:language":["en"],"dc:rights":["Copyright 2021 Lingqi Lyu"],"dc:subject":["Reservoir operation","hidden Markov model"],"dc:title":["The analysis of reservoir operation rules in the southwestern United States using a hidden Markov-decision tree model"],"dc:type":["text","Thesis"],"thesis:degree_discipline":["Civil Engineering"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:52Z"}