Stochastic and Statistical Methods in Hydrology and Environmental Engineering Time Series Analysis in Hydrology and Environmental Engineering
Withinthis landmark collection of papers, highly respected scientists and engineers from around the world present some of the latest research results in extreme value analyses for floods and droughts. Two approaches that are commonly employed in flood frequency analyses are the maximum annual flood...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
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Dordrecht
Springer Netherlands
1994
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| Schriftenreihe: | Water Science and Technology Library
10/3 |
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| 245 | 1 | 0 | |a Stochastic and Statistical Methods in Hydrology and Environmental Engineering |b Time Series Analysis in Hydrology and Environmental Engineering |c edited by Keith W. Hipel, A. Ian McLeod, U. S. Panu, Vijay P. Singh |
| 246 | 1 | 3 | |a Vol.4: Effective Environmental Management for Sustainable Development |
| 264 | 1 | |a Dordrecht |b Springer Netherlands |c 1994 | |
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| 520 | |a Withinthis landmark collection of papers, highly respected scientists and engineers from around the world present some of the latest research results in extreme value analyses for floods and droughts. Two approaches that are commonly employed in flood frequency analyses are the maximum annual flood and partial duration series or peak over threshold procedures. Recent theoretical advances as well as illustrative applications are described in detail for each of these approaches. Additionally, droughts and storms are systematically studied using appropriate probabilistic models. A major part of the volume is devoted to frequency analyses and fitting extreme value distributions to hydrological data. Other thought-provoking topics include regionalization techniques, distributed models, entropy and fractal analysis. Audience The bookis of interest to researchers, teachers, students and practitioners who wish to place themselves at the leading edge of flood frequency and drought analyses | ||
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| 650 | 4 | |a Operation Research/Decision Theory | |
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| dewey-ones | 551 - Geology, hydrology, meteorology |
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| format | Electronic eBook |
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| id | DE-604.BV045178750 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:10:49Z |
| institution | BVB |
| isbn | 9789401730839 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030567980 |
| oclc_num | 1053844134 |
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| physical | 1 Online-Ressource (XX, 476 p) |
| psigel | ZDB-2-EES ZDB-2-EES_Archiv ZDB-2-EES ZDB-2-EES_Archiv |
| publishDate | 1994 |
| publishDateSearch | 1994 |
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| publisher | Springer Netherlands |
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| series2 | Water Science and Technology Library |
| spelling | Stochastic and Statistical Methods in Hydrology and Environmental Engineering Time Series Analysis in Hydrology and Environmental Engineering edited by Keith W. Hipel, A. Ian McLeod, U. S. Panu, Vijay P. Singh Vol.4: Effective Environmental Management for Sustainable Development Dordrecht Springer Netherlands 1994 1 Online-Ressource (XX, 476 p) txt rdacontent c rdamedia cr rdacarrier Water Science and Technology Library 10/3 Withinthis landmark collection of papers, highly respected scientists and engineers from around the world present some of the latest research results in extreme value analyses for floods and droughts. Two approaches that are commonly employed in flood frequency analyses are the maximum annual flood and partial duration series or peak over threshold procedures. Recent theoretical advances as well as illustrative applications are described in detail for each of these approaches. Additionally, droughts and storms are systematically studied using appropriate probabilistic models. A major part of the volume is devoted to frequency analyses and fitting extreme value distributions to hydrological data. Other thought-provoking topics include regionalization techniques, distributed models, entropy and fractal analysis. Audience The bookis of interest to researchers, teachers, students and practitioners who wish to place themselves at the leading edge of flood frequency and drought analyses Earth Sciences Hydrogeology Environmental Management Probability Theory and Stochastic Processes Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution Operation Research/Decision Theory Earth sciences Operations research Decision making Probabilities Environmental management Water pollution Hipel, Keith W. edt McLeod, A. Ian edt Panu, U. S. edt Singh, Vijay P. edt Erscheint auch als Druck-Ausgabe 9789048143795 https://doi.org/10.1007/978-94-017-3083-9 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Stochastic and Statistical Methods in Hydrology and Environmental Engineering Time Series Analysis in Hydrology and Environmental Engineering Earth Sciences Hydrogeology Environmental Management Probability Theory and Stochastic Processes Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution Operation Research/Decision Theory Earth sciences Operations research Decision making Probabilities Environmental management Water pollution |
| title | Stochastic and Statistical Methods in Hydrology and Environmental Engineering Time Series Analysis in Hydrology and Environmental Engineering |
| title_alt | Vol.4: Effective Environmental Management for Sustainable Development |
| title_auth | Stochastic and Statistical Methods in Hydrology and Environmental Engineering Time Series Analysis in Hydrology and Environmental Engineering |
| title_exact_search | Stochastic and Statistical Methods in Hydrology and Environmental Engineering Time Series Analysis in Hydrology and Environmental Engineering |
| title_full | Stochastic and Statistical Methods in Hydrology and Environmental Engineering Time Series Analysis in Hydrology and Environmental Engineering edited by Keith W. Hipel, A. Ian McLeod, U. S. Panu, Vijay P. Singh |
| title_fullStr | Stochastic and Statistical Methods in Hydrology and Environmental Engineering Time Series Analysis in Hydrology and Environmental Engineering edited by Keith W. Hipel, A. Ian McLeod, U. S. Panu, Vijay P. Singh |
| title_full_unstemmed | Stochastic and Statistical Methods in Hydrology and Environmental Engineering Time Series Analysis in Hydrology and Environmental Engineering edited by Keith W. Hipel, A. Ian McLeod, U. S. Panu, Vijay P. Singh |
| title_short | Stochastic and Statistical Methods in Hydrology and Environmental Engineering |
| title_sort | stochastic and statistical methods in hydrology and environmental engineering time series analysis in hydrology and environmental engineering |
| title_sub | Time Series Analysis in Hydrology and Environmental Engineering |
| topic | Earth Sciences Hydrogeology Environmental Management Probability Theory and Stochastic Processes Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution Operation Research/Decision Theory Earth sciences Operations research Decision making Probabilities Environmental management Water pollution |
| topic_facet | Earth Sciences Hydrogeology Environmental Management Probability Theory and Stochastic Processes Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution Operation Research/Decision Theory Earth sciences Operations research Decision making Probabilities Environmental management Water pollution |
| url | https://doi.org/10.1007/978-94-017-3083-9 |
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