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Advances in Developing Urban Resilience Through Environmental and Earth Sciences

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Earth Sciences".

Deadline for manuscript submissions: 20 August 2025 | Viewed by 757

Special Issue Editors

Special Issue Information

Dear Colleagues,

In the context of rapid urbanization and the increasing impact of climate change, the concept of urban resilience has become a critical priority for sustainable development. The challenges faced by urban environments, such as environmental degradation, resource scarcity, and the threat of natural disasters, demand innovative solutions that integrate environmental and earth sciences. This Special Issue aims to provide a platform for researchers to share their findings and insights on how to enhance urban resilience through applied natural sciences, contributing to the creation of sustainable, adaptable, and resilient urban environments.

This Special Issue will offer an opportunity for scholars worldwide to exchange ideas and present research- and practice-oriented papers and reviews. We invite submissions that address critical research questions in the field, employ innovative methodologies and data sources, contribute to theoretical debates, or highlight patterns that warrant further exploration.

Topics of interest include, but are not limited to, the following:

  • Theoretical frameworks for understanding urban resilience in environmental and earth sciences;
  • Methodological approaches for assessing and measuring urban resilience;
  • Case studies of urban resilience strategies in the face of environmental and earth science challenges;
  • The role of technology in enhancing urban resilience, including smart city technologies;
  • Community engagement and participatory approaches in building urban resilience;
  • Cross-sector collaboration for resilient urban planning and management;
  • Green infrastructure and its role in urban resilience;
  • Financial and economic models for resilient urban development;
  • The impact of urban policies on resilience and vice versa;
  • Resilience in the context of global south cities and informal settlements;
  • Urban resilience development in developing countries and regions;
  • Remote sensing data application for urban resilience in high-density cities and regions.

We look forward to your submissions.

Dr. Tiantian Gu
Prof. Dr. Dezhi Li
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. Applied Sciences 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

  • urban resilience
  • environment resilience
  • smart city
  • community engagement
  • infrastructure resilience
  • urban policy
  • built environment
  • urban renewal

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Published Papers (1 paper)

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Research

20 pages, 6125 KiB  
Article
Intelligent Monitoring of Tunnel Fire Smoke Based on Improved YOLOX and Edge Computing
by Chaojing Li, Bochao Zhu, Guangyao Chen, Qiming Li and Zhao Xu
Appl. Sci. 2025, 15(4), 2127; https://doi.org/10.3390/app15042127 - 17 Feb 2025
Cited by 1 | Viewed by 553
Abstract
To overcome the defects of traditional fire detection methods that have a high false alarm rate and long delay, a smart tunnel fire monitoring method based on a YOLOX deep convolutional neural network and edge computing is proposed. This method first improves the [...] Read more.
To overcome the defects of traditional fire detection methods that have a high false alarm rate and long delay, a smart tunnel fire monitoring method based on a YOLOX deep convolutional neural network and edge computing is proposed. This method first improves the detection accuracy by analyzing the relationship between frequency domain and convolutional neural networks and the use of wavelet transform. Then, based on the smoke features observed in the experiments, a fuzzy loss method is proposed to accelerate the model convergence speed. To address the issue of a weak computing power of edge devices, the training model is optimized by using knowledge distillation and model quantization, thereby improving the running speed on edge devices. At the same time, a series of related lightweight methods are adopted to optimize the model, reduce the computational cost, and improve the detection speed. Finally, the accuracy of flame and smoke detection on a self-built dataset reaches 85%, which is about 1.8% higher than the baseline method YOLOX and achieves a balance between the speed and accuracy of the model. Full article
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