Statistical Analysis and Stochastic Modelling of Hydrological Extremes (Record no. 81560)

MARC details
000 -LEADER
fixed length control field 04673naaaa2201069uu 4500
001 - CONTROL NUMBER
control field https://directory.doabooks.org/handle/20.500.12854/59997
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220220103336.0
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number books978-3-03921-665-9
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783039216659
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783039216642
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.3390/books978-3-03921-665-9
Terms of availability doi
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title English
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Authentication code dc
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Tabari, Hossein
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245 10 - TITLE STATEMENT
Title Statistical Analysis and Stochastic Modelling of Hydrological Extremes
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. MDPI - Multidisciplinary Digital Publishing Institute
Date of publication, distribution, etc. 2019
300 ## - PHYSICAL DESCRIPTION
Extent 1 electronic resource (294 p.)
506 0# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Open Access
Source of term star
Standardized terminology for access restriction Unrestricted online access
520 ## - SUMMARY, ETC.
Summary, etc. Hydrological extremes have become a major concern because of their devastating consequences and their increased risk as a result of climate change and the growing concentration of people and infrastructure in high-risk zones. The analysis of hydrological extremes is challenging due to their rarity and small sample size, and the interconnections between different types of extremes and becomes further complicated by the untrustworthy representation of meso-scale processes involved in extreme events by coarse spatial and temporal scale models as well as biased or missing observations due to technical difficulties during extreme conditions. The complexity of analyzing hydrological extremes calls for robust statistical methods for the treatment of such events. This Special Issue is motivated by the need to apply and develop innovative stochastic and statistical approaches to analyze hydrological extremes under current and future climate conditions. The papers of this Special Issue focus on six topics associated with hydrological extremes: Historical changes in hydrological extremes; Projected changes in hydrological extremes; Downscaling of hydrological extremes; Early warning and forecasting systems for drought and flood; Interconnections of hydrological extremes; Applicability of satellite data for hydrological studies.
540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE
Terms governing use and reproduction Creative Commons
Use and reproduction rights https://creativecommons.org/licenses/by-nc-nd/4.0/
Source of term cc
-- https://creativecommons.org/licenses/by-nc-nd/4.0/
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Language note English
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856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="https://mdpi.com/books/pdfview/book/1751">https://mdpi.com/books/pdfview/book/1751</a>
Access status 0
Public note DOAB: download the publication
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="https://directory.doabooks.org/handle/20.500.12854/59997">https://directory.doabooks.org/handle/20.500.12854/59997</a>
Access status 0
Public note DOAB: description of the publication

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