[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-128260-en":3,"doc-seo-128260-105":31,"detail-sidebar-cat-0-en-105":93},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":22,"language":23,"language_code":24,"site_id":25,"html_lang":24,"table_of_contents":26,"faqs":27,"seo_title":28,"seo_description":14,"update_tm":29,"read_time":30},128260,2336475104957,"Seraphina","https://ap-avatar.wpscdn.com/avatar/22000c4c6bd8a5076e1?x-image-process=image/resize,m_fixed,w_180,h_180&k=1787554080175789136",8,"Research & Report","Integrated water resource management - GIS applications and machine learning for optimizing water resources - Doctor of Philosophy dissertation","This dissertation develops and evaluates integrated water resource management approaches that combine GIS capabilities with machine learning to optimize water resources and improve drought-related decision-making. A machine learning framework is built to project future drought conditions in Iowa, accompanied by an interactive application to support exploration of results. The work includes model performance assessment, interpretability and explanation analysis, comparisons between historical and projected drought patterns, and discussion of findings for water management applications.","Integrated water resource management:  \nGIS applications and machine learning for optimizing water resources.  \nby  \nIngrid Katherinne Cintura Rojas  \nA dissertation submitted to the graduate faculty  \nin partial fulfillment of the requirements for the degree of  \nDOCTOR OF PHILOSOPHY  \nMajor: Civil Engineering  \nProgram of Study Committee:  \nAntonio Arenas, Major Professor  \nBrian Gelder  \nChris Rehmann  \nJulie Dickerson  \nKaoru Ikuma  \nThe student author, whose presentation of the scholarship herein was approved by the program of study committee, is solely responsible for the content of this dissertation. The Graduate College will ensure this dissertation is globally accessible and will not permit alterations after a degree is  \nconferred.  \nIowa State University  \nAmes, Iowa  \n2025  \nCopyright © Ingrid Katherinne Cintura Rojas, 2025. All rights reserved.  \nDEDICATION  \nTo my beloved husband, Jaime—my steadfast mast and sail in the unpredictable seas of life. Thank you for being my guiding star through every storm and my unwavering anchor in moments of calm.  \nTo my siblings, Paula and Mateo—you are the dreamers who remind me daily of life's boundless possibilities. Your passion, courage, and unrelenting belief in the power of dreams fuel my hope for the future.  \nTo my parents, Esperanza and Marco Tulio—thank you for building the foundation upon which I stand today. Your faith in me has been the bedrock of my strength, and your lessons in resilience, love, and integrity are the principles I carry with me every day.  \nYour unwavering love and unconditional support have been my constant motivation and inspiration.  \nTABLE OF CONTENTS  \nPage  \nLIST OF FIGURES ........................................................................................................................ v  \nLIST OF TABLES ........................................................................................................................ vii  \nNOMENCLATURE ..................................................................................................................... viii  \nACKNOWLEDGMENTS ............................................................................................................. ix  \nABSTRACT.................................................................................................................................... x  \nCHAPTER 1. GENERAL INTRODUCTION ........................................................................... 1  \nBackground and Motivation ....................................................................................................... 1  \nResearch Objectives .................................................................................................................... 4  \nReferences ................................................................................................................................... 5  \nCHAPTER 2. PROJECTION AND ASSESSMENT OF FUTURE DROUGHTS IN IOWA: DEVELOPING A MACHINE LEARNING MODEL AND AN INTERACTIVE APPLICATION........................................................................................................................... 6  \nAbstract ....................................................................................................................................... 6  \nIntroduction................................................................................................................................. 7  \nMethods ..................................................................................................................................... 11  \nStudy Area ............................................................................................................................. 12  \nDrought Projection Model .................................................................................................... 12  \nIDF Analysis ..............................................................................................................","cbCairLCLQjx0Zua","https://ap.wps.com/l/cbCairLCLQjx0Zua","pdf",4813894,5,1,142,"English","en",105,"# CHAPTER 1. GENERAL INTRODUCTION\n## Background and Motivation\n## Research Objectives\n## References\n# CHAPTER 2. PROJECTION AND ASSESSMENT OF FUTURE DROUGHTS IN IOWA: DEVELOPING A MACHINE LEARNING MODEL AND AN INTERACTIVE APPLICATION\n## Abstract\n## Introduction\n## Methods\n## Study Area\n## Drought Projection Model\n## IDF Analysis\n## Future Drought Viewer App\n## Results\n## Model Performance\n## Explanation of the Model\n## Iowa Drought Projections\n## Assessment of Future Droughts\n## Discussion\n## XAI Model Analysis and Evaluation\n## Comparing Historical and Projected Droughts for Water Management\n## Contrast with other models\n## Conclusions\n## Declaration of competing interest\n## Authorship contribution statement\n## Data availability\n## References","[{\"question\":\"What is the main focus of the dissertation?\",\"answer\":\"The dissertation focuses on integrated water resource management by using GIS applications and machine learning to optimize water resources and support drought-related analysis.\"},{\"question\":\"How does the study project future droughts in Iowa?\",\"answer\":\"It develops a machine learning model for drought projection, performs IDF analysis, and produces drought projections specific to Iowa.\"},{\"question\":\"What decision-support tool is included in the research?\",\"answer\":\"An interactive “Future Drought Viewer” application is included to enable exploration of projected drought results for water management.\"}]","Integrated water resource management - 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