Special Issue "Assessment of Current and Future Vulnerability of Flooding with Hydrologic/Hydraulic Modeling and Remote Sensing Techniques"

A special issue of Water (ISSN 2073-4441).

Deadline for manuscript submissions: 31 March 2018

Special Issue Editors

Guest Editor
Prof. Yang Hong

School of Civil Engineering and Environmental Sciences, University of Oklahoma, Norman, OK 73019, USA
Website | E-Mail
Interests: radar/satellite remote sensing of water cycle (precipitation, evapotranspiration, soil moisture, streamflow); hydrology and water resources; hydrometeorology; hydroclimatology
Guest Editor
Dr. Xinyi Shen

University of Connecticut
Website | E-Mail
Phone: 860-486-1799
Interests: hydrology; remote sensing; flood; soil moisture; numerical modelling
Co-Guest Editor
Dr. Yaokui Cui

Peking University
E-Mail
Phone: +86-010-62751961
Interests: remote sensing; water cycle; big data; evapotranspiration; soil moisture

Special Issue Information

Dear Colleagues

Flooding hazards cause numerous economic and life losses in the present changing climate and environment. It is, therefore, important to keep developing and improving our knowledge in the field of flood vulnerability assessment and hazard alleviation. Multiple disciplines, including hydrology, hydraulics, remote sensing, and meteorology, are collaborating to assess the magnitude and impact of flood hazards. Moreover, with the increasing capacity of numerical modelling, machine learning, data archives, our ability to monitor, predict and understand the risks are growing rapidly.

Due to recent flood events, this Special Issue of Water addresses flooding in a timely manner, in particular, it seeks to highlight interdisciplinary approaches to address the complexity of flood vulnerability assessment in this changing climate and environment, including topics, such as:

  • Novel calibration/validation methods for numerical flood-inundation modelling;
  • Applying machine learning techniques/big data to flood risk/characteristic assessment;
  • New methods/data in obtaining river bathymetry;
  • Review of numerical flood simulation/prediction/design methods;
  • Flood-inundation applications using high-resolution remote sensing/GIS techniques/data/products;
  • Assessment of flood caused socioeconomic impact and hazard reduction;
  • Flood impact on sustainability of critical infrastructure, energy, food security and nexus;
  • Flood frequency/characteristics/analysis in changing climate, environment/urbanization;
  • Flood threats in changing estuaries, coasts and sea level.
Prof. Yang Hong
Dr. Xinyi Shen
Guest Editors

Manuscript Submission Information

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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 1500 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
  • Inundation
  • Hydrology
  • Remote Sensing
  • Machine Learning
  • Natural Hazard
  • Resilience and Sustainability
  • Climate Change
  • Sea Level Rise
  • Surge

Published Papers (4 papers)

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Research

Open AccessArticle Application of Flood Nomograph for Flood Forecasting in Urban Areas
Water 2018, 10(1), 53; doi:10.3390/w10010053
Received: 28 November 2017 / Revised: 22 December 2017 / Accepted: 8 January 2018 / Published: 10 January 2018
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Abstract
Imperviousness has increased due to urbanization, as has the frequency of extreme rainfall events by climate change. Various countermeasures, such as structural and nonstructural measures, are required to prepare for these effects. Flood forecasting is a representative nonstructural measure. Flood forecasting techniques have
[...] Read more.
Imperviousness has increased due to urbanization, as has the frequency of extreme rainfall events by climate change. Various countermeasures, such as structural and nonstructural measures, are required to prepare for these effects. Flood forecasting is a representative nonstructural measure. Flood forecasting techniques have been developed for the prevention of repetitive flood damage in urban areas. It is difficult to apply some flood forecasting techniques using training processes because training needs to be applied at every usage. The other flood forecasting techniques that use rainfall data predicted by radar are not appropriate for small areas, such as single drainage basins. In this study, a new flood forecasting technique is suggested to reduce flood damage in urban areas. The flood nomograph consists of the first flooding nodes in rainfall runoff simulations with synthetic rainfall data at each duration. When selecting the first flooding node, the initial amount of synthetic rainfall is 1 mm, which increases in 1 mm increments until flooding occurs. The advantage of this flood forecasting technique is its simple application using real-time rainfall data. This technique can be used to prepare a preemptive response in the process of urban flood management. Full article
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Open AccessArticle Hydrologic Evaluation of Six High Resolution Satellite Precipitation Products in Capturing Extreme Precipitation and Streamflow over a Medium-Sized Basin in China
Water 2018, 10(1), 25; doi:10.3390/w10010025
Received: 22 November 2017 / Revised: 20 December 2017 / Accepted: 25 December 2017 / Published: 29 December 2017
Cited by 1 | PDF Full-text (6203 KB) | HTML Full-text | XML Full-text
Abstract
Satellite precipitation products (SPPs) are critical data sources for hydrological prediction and extreme event monitoring, especially for ungauged basins. This study conducted a comprehensive hydrological evaluation of six mainstream SPPs (i.e., TMPA 3B42RT, CMORPH-RT, PERSIANN-RT, TMPA 3B42V7, CMORPH-CRT, and PERSIANN-CDR) over humid Xixian
[...] Read more.
Satellite precipitation products (SPPs) are critical data sources for hydrological prediction and extreme event monitoring, especially for ungauged basins. This study conducted a comprehensive hydrological evaluation of six mainstream SPPs (i.e., TMPA 3B42RT, CMORPH-RT, PERSIANN-RT, TMPA 3B42V7, CMORPH-CRT, and PERSIANN-CDR) over humid Xixian basin in central eastern China for a period of 14 years (2000–2013). The evaluation specifically focused on the performance of the six SSPs in capturing precipitation and streamflow extremes. Results show that the two post-real-time research products of TMPA 3B42V7 and CMORPH-CRT exhibit much better performance than that of their corresponding real-time SPPs for precipitation estimation at daily and monthly time scales. By contrast, the newly released post-real-time research product PERSIANN-CDR insignificantly improves precipitation estimates compared with the real-time PERSIANN-RT does at daily time scale. The daily streamflow simulation of TMPA 3B42V7 fits best with the observed streamflow series among those of the six SPPs. The three month-to-month gauge-adjusted post-real-time research products can simulate acceptable monthly runoff series. TMPA 3B42V7 and CMORPH-CRT present good performance in capturing precipitation and streamflow extremes, although they still exhibit non-ignorable deviation and occurrence time inconsistency problems compared with gauge-based results. Caution should be observed when using the current TMPA, CMORPH, and PERSIANN products for monitoring and predicting extreme precipitation and flood at such medium-sized basin. This work will be valuable for the utilization of SPPs in extreme precipitation monitoring, streamflow forecasting, and water resource management in other regions with similar climate and topography characteristics. Full article
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Open AccessArticle Building Blocks: A Quantitative Approach for Evaluating Coastal Vulnerability
Water 2017, 9(12), 905; doi:10.3390/w9120905
Received: 23 August 2017 / Revised: 28 October 2017 / Accepted: 6 November 2017 / Published: 25 November 2017
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Abstract
Climate change and associated factors such as global and regional sea-level rise; the upsurge in high-intensity flooding events; and coastal erosion are pulse and press disturbances that threaten to increase landslides in coastal regions. Under these circumstances; a rigorous framework is required to
[...] Read more.
Climate change and associated factors such as global and regional sea-level rise; the upsurge in high-intensity flooding events; and coastal erosion are pulse and press disturbances that threaten to increase landslides in coastal regions. Under these circumstances; a rigorous framework is required to evaluate coastal vulnerability in order to plan for future climate change scenarios. A vast majority of coastal vulnerability assessments across the globe are evaluated at the macro level (city scale) but not at the micro level (small town scale); particularly in the United Kingdom (UK). In order to fill this vital research gap; the current study established a coastal vulnerability index termed here as the Micro Town Coastal Vulnerability Index (MTCVI) and then applied it to Barton-on-Sea; which is a small coastal town of the Hampshire region; England; UK. MTCVI was evaluated for Barton-on-Sea coastal vulnerability by integrating both novel and existing parameters. Results suggest that the entire shoreline frontage (2 km) exhibits very high coastal vulnerability and is prone to various coastal hazards such as landslides; erosion; and wave intrusion. This suggests that Barton-on-Sea coastal amenities will require a substantial improvement in shoreline protection measures. In this study; GIS (geographic information system) coastal vulnerability and landslide maps were generated; and these maps can be used by the local authorities; district councils; coastal engineers; and planners to improve and design coastal management strategies under the climate change scenarios. Meanwhile; the methodology used in this study could also be applied to any other suitable location in the world depending on the availability of the data. Full article
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Open AccessArticle Building a High-Precision 2D Hydrodynamic Flood Model Using UAV Photogrammetry and Sensor Network Monitoring
Water 2017, 9(11), 861; doi:10.3390/w9110861
Received: 14 September 2017 / Revised: 23 October 2017 / Accepted: 4 November 2017 / Published: 6 November 2017
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Abstract
This paper explores the potential of the joint application of unmanned aerial vehicle (UAV)-based photogrammetry and an automated sensor network for building a hydrodynamic flood model of a montane stream. UAV-based imagery was used for three-dimensional (3D) photogrammetric reconstruction of the stream channel,
[...] Read more.
This paper explores the potential of the joint application of unmanned aerial vehicle (UAV)-based photogrammetry and an automated sensor network for building a hydrodynamic flood model of a montane stream. UAV-based imagery was used for three-dimensional (3D) photogrammetric reconstruction of the stream channel, achieving a resolution of 1.5 cm/pixel. Automated ultrasonic water level gauges, operating with a 10 min interval, were used as a source of hydrological data for the model calibration, and the MIKE 21 hydrodynamic model was used for building the flood model. Three different horizontal schematizations of the channel—an orthogonal grid, curvilinear grid, and flexible mesh—were used to evaluate the effect of spatial discretization on the results. The research was performed on Javori Brook, a montane stream in the Sumava (Bohemian Forest) Mountains, Czech Republic, Central Europe, featuring a fast runoff response to precipitation events and that is located in a core zone of frequent flooding. The studied catchments have been, since 2007, equipped with automated water level gauges and, since 2013, under repeated UAV monitoring. The study revealed the high potential of these data sources for applications in hydrodynamic modeling. In addition to the ultra-high levels of spatial and temporal resolution, the major contribution is in the method’s high operability, enabling the building of highly detailed flood models even in remote areas lacking conventional monitoring. The testing of the data sources and model setup indicated the limitations of the UAV reconstruction of the stream bathymetry, which was completed by the geodetic-grade global navigation satellite system (GNSS) measurements. The testing of the different model domain schematizations did not indicate the substantial differences that are typical for conventional low-resolution data, proving the high reliability of the tested modeling workflow. Full article
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