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Green Infrastructure for Urban Water Resource Sustainability

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Urban and Rural Development".

Deadline for manuscript submissions: closed (31 March 2023) | Viewed by 2385

Special Issue Editor


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Guest Editor
School of Civil Engineering, Chungbuk National University, Cheongju 28644, Korea
Interests: non-structural measures; urban drainage systems; optimization; sustainability; resilience; artificial intelligence; reliability
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Green infrastructure (GI) is crucial for preserving urban water resources. Research is required to establish effective green infrastructure for flood reduction, water quality improvement and superior urban water cycle systems. In addition, to elucidate the optimal design and management for efficient GI, an improved understanding of how to better predict the quantity and quality of water in urban areas with GI is also required. In this context, the application of various methods, such as deep learning and meta-heuristic optimization algorithms, can enhance GI’s utilization.

This Special Issue aims to collect papers focused on the latest research results regarding ‘Green Infrastructure for Urban Water Resource Sustainability’.

With this aim in mind, we are seeking to submission of contributions spanning a broad range of topics, including, but not limited to, the following:

Original research articles and reviews are welcome for this Special Issue.

I look forward to receiving your contributions.

Prof. Dr. Eui Hoon Lee
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 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. Sustainability is an international peer-reviewed open access semimonthly 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

  • GI
  • Deep learning
  • Urban Water Resource
  • Meta-heuristic optimization
  • Resilience

Published Papers (1 paper)

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Research

23 pages, 10721 KiB  
Article
New Digital Field of Drawing and Survey for the Automatic Identification of Debris Accumulation in Flooded Areas
by Carmine Gambardella, Rosaria Parente, Anna Scotto di Santolo and Giuseppe Ciaburro
Sustainability 2023, 15(1), 479; https://doi.org/10.3390/su15010479 - 27 Dec 2022
Cited by 2 | Viewed by 1724
Abstract
Floods are among the most devastating natural hazards in the world, causing the largest percentage of deaths and property damage. The impact of floods can be mitigated with an adequate knowledge of the territory, which makes it possible to better organize prevention plans [...] Read more.
Floods are among the most devastating natural hazards in the world, causing the largest percentage of deaths and property damage. The impact of floods can be mitigated with an adequate knowledge of the territory, which makes it possible to better organize prevention plans with an appropriate analysis of the risk areas, which allows the management of relief efforts quickly and adequately. This work presents a methodology for mapping and monitoring the areas affected by floods and landslides by remote sensing: the correct representation and full interpretation of the territory matrix are essential for quality and sustainability design. In this paper, we used tools and technology that allow us to analyze and visualize the landscape evolution. The calibration of the method was performed on the events that took place in Calabria, in Southern Italy, on 12 August 2015. The proposed methodology concerned the planning of acquisition flights, the selection and setting of the sensors used, and the processing and post-processing of the data collected through the application of algorithms used for data manipulation and interpretation. The process of recognizing the areas with deposits of debris through the spectral signature was carried out using similarity criteria relating to hyperspectral data. The results obtained recommend the adoption of this methodology to deal with emergencies due to flood events. Full article
(This article belongs to the Special Issue Green Infrastructure for Urban Water Resource Sustainability)
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