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Hydrology
Special Issues
Hydro-Meteorological Extreme: Implications on Economy, Society, Civil Protection and Environmental...
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Hydro-Meteorological Extreme: Implications on Economy, Society, Civil Protection and Environmental Planning

A special issue of Hydrology (ISSN 2306-5338). This special issue belongs to the section "Hydrology and Economics/Human Health".

Deadline for manuscript submissions: closed (31 October 2022) | Viewed by 4555

Special Issue Editors

Dr. Annalina Lombardi

E-Mail Website
Guest Editor
Research Fellow, CETEMPS Center of Excellence, University of L’Aquila, via Vetoio snc, 67100 L’Aquila, IT, Italy
Interests: hydrological modeling; early warning system; civil protection; flood and flash flood events; climate change
Special Issues, Collections and Topics in MDPI journals
Dr. Barbara Tomassetti

E-Mail Website
Guest Editor
Specialized Technologist, CETEMPS Center of Excellence, University of L’Aquila, via Vetoio snc, 67100 L’Aquila, IT, Italy
Interests: hydrological modeling; hydrometeorology; warning models; climate change; landslide early warning systems

Special Issue Information

Dear Colleagues,

The increase in extreme weather events is one of the most significant impacts linked to climate change and represents a global threat to humans and the natural system in general. The management of extreme weather events involves the adoption of coordinated strategies at various spatial and temporal scales. In the long-term perspective, territorial planning must consider climatic alterations, and the decision makers and stakeholders need to be aware of how the future climate will affect people’s safety, economy, social life and human needs.

In the short term, the improvement of forecasting systems is a fundamental prerequisite for the improved organization of early warning systems.

The main purpose of this Special Issue is to present advanced research activities as well as interesting results of good practices relating to the evaluation of severe weather events and their effects.

For this Special Issue, we invite the submission of research articles related to hydrometeorological extremes, including but not limited to:

  • modeling of the ground system;
  • management and modeling of urban systems;
  • economic and social models and impact assessment;
  • environmental planning toward meteorological phenomena;
  • risk, hazard, and vulnerability assessment;
  • testing of mitigation or resilience strategies and best practices;
  • development of monitoring tools and/or networks useful for observing extreme weather conditions;
  • implications of extreme weather conditions on agriculture;
  • implications of extreme climate on ecology;
  • severe weather events from a climatic perspective, in the future and/or in the past.

Dr. Annalina Lombardi
Dr. Barbara Tomassetti
Guest Editors

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 submissions that pass pre-check are 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. Hydrology 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

  • weather extremes
  • hydrometeorology
  • modeling
  • climate change
  • early warning
  • natural systems
  • impacts
  • natural hazards

Published Papers (2 papers)

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Research

19 pages, 4012 KiB  
Article
Evaluating the Response of Hydrological Stress Indices Using the CHyM Model over a Wide Area in Central Italy
by Annalina Lombardi, Davide Gallicchio, Barbara Tomassetti, Edoardo Raparelli, Paolo Tuccella, Raffaele Lidori, Marco Verdecchia and Valentina Colaiuda
Hydrology 2022, 9(8), 139; https://doi.org/10.3390/hydrology9080139 - 04 Aug 2022
Cited by 1 | Viewed by 2000
Abstract
Central Italy is characterized by complex orography. The territorial response to heavy precipitation may activate different processes in terms of hydrogeological hazards. Floods, flash floods, and wet mass movements are the main ground effects triggered by heavy or persistent rainfall. The main aim [...] Read more.
Central Italy is characterized by complex orography. The territorial response to heavy precipitation may activate different processes in terms of hydrogeological hazards. Floods, flash floods, and wet mass movements are the main ground effects triggered by heavy or persistent rainfall. The main aim of this work is to present a unique tool that is based on a distributed hydrological model, able to predict different rainfall-induced phenomena, and essential for the civil protection early warning activity. The Cetemps Hydrological Model is applied to the detection of hydrologically stressed areas over a spatial domain covering the central part of Italy during a weather event that occurred in 2014. The validation of three hydrological stress indices is proposed over a geographical area of approximately 64,500 km2 that includes catchments of varying size and physiography. The indices were used to identify areas subject to floods, flash floods, or landslides. Main results showed very high accuracies (~90%) for all proposed indices, with flood false alarms growing downstream to larger basins, but very close to zero in most cases. The three indices can give complementary information about the predominant phenomenon and are able to distinguish fluvial floods from pluvial floods. Nevertheless, the results were influenced by the presence of artificial reservoirs that regulated flood wave propagation, therefore, indices timing slightly worsen downstream in larger basins. Full article
(This article belongs to the Special Issue Hydro-Meteorological Extreme: Implications on Economy, Society, Civil Protection and Environmental Planning)
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13 pages, 8044 KiB  
Article
Stream Stage Monitoring with Community Science-Contributed Stage Data
by Ingrid Luffman and Daniel Connors
Hydrology 2022, 9(1), 11; https://doi.org/10.3390/hydrology9010011 - 10 Jan 2022
Cited by 2 | Viewed by 1972
Abstract
Volunteered Geographic Information, data contributed by community scientists, is an increasingly popular tool to collect scientific data, involve the community in scientific research, and provide information and education about a prominent issue. Johnson City, Tennnessee, USA has a long history of downtown flooding, [...] Read more.
Volunteered Geographic Information, data contributed by community scientists, is an increasingly popular tool to collect scientific data, involve the community in scientific research, and provide information and education about a prominent issue. Johnson City, Tennnessee, USA has a long history of downtown flooding, and recent redevelopment of two land parcels has created new city parks that mitigate flooding through floodwater storage, additional channel capacity, and reduced impervious surfaces. At Founders Park, a project to collect stage data using text messages from community scientists has collected 1479 stage measurements from 597 participants from May 2017 through July 2021. Text messages were parsed to extract the stage and merged with local precipitation data to assess the stream’s response to precipitation. Of 1479 observations, 96.7% were correctly parsed. Only 3% of observations were false positives (parser extracted incorrect stage value) or false negatives (parser unable to extract correct value but usable data were reported). Less than 2% of observations were received between 11 p.m. and 7 a.m., creating an overnight data gap, and fewer than 7% of observations were made during or immediately following precipitation. Regression models for stage using antecedent precipitation explained 21.6% of the variability in stream stage. Increased participation and development of an automated system to record stage data at regular intervals will provide data to validate community observations and develop more robust rainfall–runoff models. Full article
(This article belongs to the Special Issue Hydro-Meteorological Extreme: Implications on Economy, Society, Civil Protection and Environmental Planning)
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