Special Issue "Statistical Approach to Hydrological Analysis"

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Hydrology and Hydrogeology".

Deadline for manuscript submissions: 31 October 2020.

Special Issue Editors

Prof. Krzysztof Kochanek
Website
Guest Editor
Institute of Geophysics, Polish Academy of Sciences, ulica Ksiecia Janusza 64, 01-452 Warsaw, Poland
Interests: statistical modeling of hydrological issues; hydrological extreme phenomena; risk and uncertainty analysis; flood frequency analysis; water resources; ecological aspects of hydrology; groundwater modeling
Special Issues and Collections in MDPI journals
Dr. Iwona Markiewicz
Website
Guest Editor
Institute of Geophysics, Polish Academy of Sciences, Księcia Janusza 64, 01-452 Warsaw, Poland
Interests: analysis of hydrological extreme phenomena; statistical and stochastic modeling of floods; risk assessment and risk management; the impact of anthropogenic factors on the flood regime; hydrological forecasts

Special Issue Information

Dear Colleagues,

Floods, droughts, and heavy rainfalls are believed to be the most dangerous natural disasters in terms of number of casualties and hold an infamous leading position in property damages. Consequently, the growing interest of policymakers and extreme natural event risk managers challenges scientists to create a new generation of more accurate and reliable models, possibly taking into account estimation of the impact of environmental change on the frequency of natural extremes. In addition, knowledge of the statistical parameters of hydrological phenomena used in the design of facility enables preparing the procedures of protecting people and infrastructure against extreme flooding, rainfalls and droughts, and creation of an environmental and water management policy. All these factors influence the intensification of the research on the issues of statistical approach to hydrological analysis, which aims at increasing the reliability of hydrological models within the context of imperfect measurement series and change of the hydrological cycle.

Prof. Krzysztof Kochanek
Dr. Iwona Markiewicz
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Water is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • hydrology
  • extreme hydrological phenomena
  • flood
  • drought
  • discharge
  • risk
  • uncertainty
  • statistics
  • datasets

Published Papers (1 paper)

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Research

Open AccessArticle
A Probabilistic Approach for Characterization of Sub-Annual Socioeconomic Drought Intensity-Duration-Frequency (IDF) Relationships in a Changing Environment
Water 2020, 12(6), 1522; https://doi.org/10.3390/w12061522 - 27 May 2020
Abstract
Changes in climate, land use, and population can increase annual and interannual variability of socioeconomic droughts in water-scarce regions. This study develops a probabilistic approach to improve characterization of sub-annual socioeconomic drought intensity-duration-frequency (IDF) relationships under shifts in water supply and demand conditions. [...] Read more.
Changes in climate, land use, and population can increase annual and interannual variability of socioeconomic droughts in water-scarce regions. This study develops a probabilistic approach to improve characterization of sub-annual socioeconomic drought intensity-duration-frequency (IDF) relationships under shifts in water supply and demand conditions. A mixture Gamma-Generalized Pareto (Gamma-GPD) model is proposed to enhance characterization of both the non-extreme and extreme socioeconomic droughts. Subsequently, the mixture model is used to determine sub-annual socioeconomic drought intensity-duration-frequency (IDF) relationships, return period, amplification factor, and drought risk. The application of the framework is demonstrated for the City of Fort Collins (Colorado, USA) water supply system. The water demand and supply time series for the 1985–2065 are estimated using the Integrated Urban water Model (IUWM) and the Soil and Water Assessment Tool (SWAT), respectively, with climate forcing from statistically downscaled CMIP5 projections. The results from the case study indicate that the mixture model leads to enhanced estimation of sub-annual socioeconomic drought frequencies, particularly for extreme events. The probabilistic approach presented in this study provides a procedure to update sub-annual socioeconomic drought IDF curves while taking into account changes in water supply and demand conditions. Full article
(This article belongs to the Special Issue Statistical Approach to Hydrological Analysis)
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