Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
4.1
2.9
Journals
Atmosphere
Special Issues
Flood Control and Management
share announcement

Flood Control and Management

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Meteorology".

Deadline for manuscript submissions: closed (28 February 2019)

Special Issue Editors

Dr. Nitin Muttil

E-Mail Website
Guest Editor
College of Engineering and Science, Victoria University, Melbourne 8001, Australia
Interests: urban water management; resilient urban water systems hydrologic and hydraulic modeling; hydroinformatics
Special Issues, Collections and Topics in MDPI journals
Dr. Muhammad Atiq Ur Rehman Tariq

E-Mail Website
Guest Editor
College of Engineering and Science, Victoria University, Melbourne 8001, Australia
Interests: sustainable infrastructure; smart and climate-resilient buildings; water sensitive urban design; virtual water trade
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Floods affect more people globally than any other natural hazard and cause enormous damage and loss of life. The economic damage caused by flooding is on the increase and is caused by a host of factors, including rapid urbanization, increasing economic wealth, the development of coastal cities and poorly planned urban development. Climate change also plays a significant role due to rising sea levels and more intense and frequent extreme storm events. Most of these losses could be avoided or at least reduced by proper flood management.

This Special Issue invites contributions that meet the following themes.

  • Flood prevention, protection and preparedness
  • Forecasting, warning and emergency response
  • Risk perception, resilience and recovery
  • Modelling, assessment and optimization
  • Climate change and adaptation, capacity building
  • Coastal, pluvial, fluvial, and flash flooding
  • Public engagement, insurance, policy and legislation
  • Catchment management, floodplain management, land use planning
  • Water sensitive urban design (WSUD)

Dr. Nitin Muttil
Dr. Muhammad Atiq Ur Rehman Tariq
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. Atmosphere 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 2400 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

  • flood management
  • resilience
  • forecasting
  • climate change
  • WSUD

Published Papers (1 paper)

Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

16 pages, 2318 KiB  
Article
Selection of an Optimal Distribution Curve for Non-Stationary Flood Series
by Xiaohong Chen, Changqing Ye, Jiaming Zhang, Chongyu Xu, Lijuan Zhang and Yihan Tang
Atmosphere 2019, 10(1), 31; https://doi.org/10.3390/atmos10010031 - 15 Jan 2019
Cited by 4 | Viewed by 2970
Abstract
The stationarity assumption of hydrological processes has long been compromised by human disturbances in river basins. The traditional hydrological extreme-value analysis method, i.e., “extreme value theory” which assumes stationarity of the time series, needs to be amended in order to adapt to these [...] Read more.
The stationarity assumption of hydrological processes has long been compromised by human disturbances in river basins. The traditional hydrological extreme-value analysis method, i.e., “extreme value theory” which assumes stationarity of the time series, needs to be amended in order to adapt to these changes. In this paper, taking the East River basin, south China as a case study, a framework was put forward for selection of a suitable distribution curve for non-stationary flood series by using the time-varying moments (TVM). Data used for this study are the annual maximum daily flow of 1954–2009 at the Longchuan, Heyuan and Boluo Stations in the study basin. Five types of distribution curves and eight kinds of trend models, for a combination of 40 models, were evaluated and compared. The results showed that the flood series and optimal distribution curves in the East River basin have been significantly impacted by a continuously changing environment. With the increase of the degree of human influence, the thinner tails of distributions are more suitable for fitting the observed flow data, and the trend models are changed from CP (mean and standard deviation fitted by parabolic trend model) to CL (mean and standard deviation fitted by linear trend model) from upstream to downstream of the catchment. The design flood flow corresponding to a return period of more than 10 years at the Longchuan, Heyuan and Boluo Stations was overestimated by more than 28.36%, 53.24% and 26.06%, respectively if the non-stationarity of series is not considered and the traditional method is still used for calculation. The study reveals that in a changing environment, more advanced statistical methods that explicitly account for the non-stationarity of extreme flood characteristics are required. Full article
(This article belongs to the Special Issue Flood Control and Management)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-1
Back to TopTop