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Record Nr. |
UNINA9910787839103321 |
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Autore |
Depeweg Herman |
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Titolo |
Sediment transport in irrigation canals : a new approach / / Herman Depeweg, UNESCO-IHE, Delft, The Netherlands, Krishna P. Paudel, Consolidate Management Services, Nepal, Nestor Mendez V., Universidad Centro Occidental Lisandro Alvarado, Barquisimeto, Venezuela |
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Pubbl/distr/stampa |
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Leiden, The Netherlands : , : CRC Press/Balkema, , [2015] |
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©2015 |
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ISBN |
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1-317-60150-5 |
1-138-47514-9 |
1-315-74750-2 |
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Edizione |
[First edition.] |
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Descrizione fisica |
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1 online resource (309 p.) |
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Collana |
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UNESCO-IHE Lecture Note Series |
Balkema Book |
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Disciplina |
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Soggetti |
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Sediment transport - Mathematical models |
Irrigation canals and flumes |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Front Cover; Table of Contents; LIST OF FIGURES; LIST OF TABLES; PREFACE; 1. INTRODUCTION; 2. OPEN CHANNEL FLOW; 3. SEDIMENT PROPERTIES; 4. DESIGN CRITERIA FOR IRRIGATION CANALS; 5. SEDIMENT TRANSPORT CONCEPTS; 6. SETRIC, A MATHEMATICAL MODEL FOR SEDIMENT TRANSPORT IN IRRIGATION CANALS; 7. THE SEDIMENT TRANSPORT MODEL AND ITS APPLICATIONS; REFERENCES; SYMBOLS; APPENDIX A: METHODS TO ESTIMATE THE TOTAL SEDIMENT TRANSPORT CAPACITY IN IRRIGATION CANALS; APPENDIX B: METHODS TO PREDICT THE FRICTION FACTOR; APPENDIX C: HYDRAULIC DESIGN OF IRRIGATION CANALS |
APPENDIX D: DESCRIPTION OF THE MAIN ASPECTS OF THE REGIME THEORYAPPENDIX E: GLOSSARY RELATED TO SEDIMENT TRANSPORT; APPENDIX F: FLOW DIAGRAMS |
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Sommario/riassunto |
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Sediment transport in irrigation canals influences to a great extent the |
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sustainability of an irrigation system. Unwanted erosion or deposition will not only increase maintenance costs, but may also lead to unfair, unreliable and unequitable distribution of irrigation water to the end users. Proper knowledge of the characteristics, including behaviour and transport of sediment will help to design irrigation systems, plan effi cient and reliable water delivery schedules, to have a controlled deposition of sediments, to estimate and arrange maintenance activities, etc. The main aim of these lect |
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2. |
Record Nr. |
UNINA9910886078803321 |
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Titolo |
Database Systems for Advanced Applications : 29th International Conference, DASFAA 2024, Gifu, Japan, July 2-5, 2024, Proceedings, Part VII / / edited by Makoto Onizuka, Jae-Gil Lee, Yongxin Tong, Chuan Xiao, Yoshiharu Ishikawa, Sihem Amer-Yahia, H. V. Jagadish, Kejing Lu |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
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ISBN |
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Edizione |
[1st ed. 2024.] |
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Descrizione fisica |
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1 online resource (556 pages) |
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Collana |
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Lecture Notes in Computer Science, , 1611-3349 ; ; 14856 |
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Disciplina |
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Soggetti |
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Machine learning |
Database management |
Computers |
Computer networks |
Computers, Special purpose |
Application software |
Machine Learning |
Database Management System |
Computing Milieux |
Computer Communication Networks |
Special Purpose and Application-Based Systems |
Computer and Information Systems Applications |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Emerging application -- Industry papers -- Demo papers. |
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Sommario/riassunto |
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The seven-volume set LNCS 14850-14856 constitutes the proceedings of the 29th International Conference on Database Systems for Advanced Applications, DASFAA 2024, held in Gifu, Japan, in July 2024. The total of 147 full papers, along with 85 short papers, presented together in this seven-volume set was carefully reviewed and selected from 722 submissions. Additionally, 14 industrial papers, 18 demo papers and 6 tutorials are included. The conference presents papers on subjects such as: Part I: Spatial and temporal data; database core technology; federated learning. Part II: Machine learning; text processing. Part III: Recommendation; multi-media. Part IV: Privacy and security; knowledge base and graphs. Part V: Natural language processing; large language model; time series and stream data. Part VI: Graph and network; hardware acceleration. Part VII: Emerging application; industry papers; demo papers. . |
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