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Sustainable Water Management in Rapid Urbanization
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Sustainable Water Management in Rapid Urbanization

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Water Management".

Deadline for manuscript submissions: 31 March 2025 | Viewed by 6901

Special Issue Editors

Dr. Nan Xu

E-Mail Website
Guest Editor
School of Earth Sciences and Engineering, Hohai University, Nanjing 210098, China
Interests: big earth data; sensors; remote sensing
Special Issues, Collections and Topics in MDPI journals
Dr. Jiaqi Yao

E-Mail Website
Guest Editor
Academy of Eco-Civilization Development for Jing-Jin-Ji Megalopolis, Tianjin Normal University, Tianjin 300387, China
Interests: hydrology; remote sensing; satellite laser altimetry; deep learning; bathymetry; coastal
Dr. Huanyu Chang

E-Mail Website
Guest Editor
Academy of Eco-Civilization Development for Jing-Jin-Ji Megalopolis, Tianjin Normal University, Tianjin 300387, China
Interests: hydrology; water resources management; water-energy-food nexus; drought; optimal allocation

Special Issue Information

Dear Colleagues,

Rapid urbanization poses significant challenges to sustainable water management, necessitating innovative approaches to monitor, manage, and mitigate water-related issues. This Special Issue focuses on leveraging multi-source remote sensing sensors to address these challenges. We aim to explore how remote sensing technologies can provide critical insights into water resource management, particularly in urban settings experiencing rapid growth.

This Special Issue focuses on the latest research related to solving challenges in hydrology monitoring using remote sensing and GIS technology. The scope of this Special Issue includes, but is not limited to, the following topics:

  • Monitoring urban water bodies using high-resolution satellite imagery;
  • Assessing the impacts of urbanization on hydrological cycles and water quality;
  • Employing UAVs in real-time water management and flood monitoring;
  • Integrating remote sensing data with GIS for comprehensive urban water resource management;
  • Evaluating the effectiveness of urban water management policies using remote sensing data;
  • Exploring the impact of urbanization on the water–energy–food nexus;
  • Evaluating water security and sustainable development in urban areas.

We look forward to receiving your contributions.

Dr. Nan Xu
Dr. Jiaqi Yao
Dr. Huanyu Chang
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. 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

  • urban water management
  • remote sensing
  • hydrological monitoring
  • flood
  • sustainable urbanization

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Published Papers (6 papers)

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Research

20 pages, 5521 KiB  
Article
Impact of Urbanization on Water Resource Competition Between Energy and Food: A Case Study of Jing-Jin-Ji
by Kuan Liu, Lichuan Wang, Jiaqi Zhai, Yong Zhao, Haodong Deng and Xing Li
Sustainability 2025, 17(2), 571; https://doi.org/10.3390/su17020571 - 13 Jan 2025
Viewed by 565
Abstract
Water resources, energy, and food are important resources in China, which play an important role in the process of urban development and are important basic resources for sustainable urban development. This study applied water footprint theory to water–energy–food relations. The regional integration of [...] Read more.
Water resources, energy, and food are important resources in China, which play an important role in the process of urban development and are important basic resources for sustainable urban development. This study applied water footprint theory to water–energy–food relations. The regional integration of the Jing-Jin-Ji region faced new challenges during urbanization, and unified measures were applied to quantify the urban water demands and energy and food competition in the Jing-Jin-Ji region from 2003 to 2017. The index was used to evaluate the intensity of the competition for water for food and energy. The results indicated that from 2003 to 2017, the water footprint of grain production in the Jing-Jin-Ji region decreased from 30.984 billion m3 to 21.36 billion m3, of which the blue water footprint decreased from 13.032 billion m3 to 9.854 billion m3. The water footprint of energy production increased from 578 million m3 to 1.175 billion m3. The competition relation between cities in the Jing-Jin-Ji region was obtained according to the competition index, and corresponding measures were identified according to different competition levels. This study provides valuable insights for policymakers in designing sustainable urban development strategies for cities facing similar challenges of water resource, energy, and food competition during rapid urbanization. Full article
(This article belongs to the Special Issue Sustainable Water Management in Rapid Urbanization)
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16 pages, 3239 KiB  
Article
Coupling-Coordination Analysis of Water Resources–Social Economy–Ecological Environment in the Yellow River Golden Triangle Area
by Zhao Kou, Linjuan Xu, Yongtao Cao, Zhanqiao Wang, Qiang Wan and Xiangyu Gao
Sustainability 2024, 16(23), 10581; https://doi.org/10.3390/su162310581 - 3 Dec 2024
Viewed by 626
Abstract
Water resources, the social economy, and the ecological environment are interrelated and interacting complex systems, and the relationship among them affects the sustainable development of a region. To explore the interactive relationship and driving factors between water resources, the social economy, and the [...] Read more.
Water resources, the social economy, and the ecological environment are interrelated and interacting complex systems, and the relationship among them affects the sustainable development of a region. To explore the interactive relationship and driving factors between water resources, the social economy, and the ecological environment, the Yellow River Golden Triangle region is taken as the research object in this paper. By constructing a coupling-coordination evaluation index system of water resources, the social economy, and the ecological environment system, the coupling-coordination development of this region from 2011 to 2021 is studied using the coupling-coordination degree model, and the influencing factors of coupling-coordination development are identified by gray relational analysis. The results show that from 2011 to 2021, the comprehensive evaluation index of the water resources, social economy, and ecological environment in the Yellow River Golden Triangle region shows a trend of steady development followed by a gradual increase. The water-resources subsystem restricts the development of the coupling system. The coupling-coordination degree increased from a barely coordinated stage in 2011 to a well-coordinated stage in 2021. The social economy subsystem and water-resources subsystem are the main factors affecting the coordinated development of the coupling system. Full article
(This article belongs to the Special Issue Sustainable Water Management in Rapid Urbanization)
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14 pages, 5045 KiB  
Article
Analysis of the Effects of Securing Baseflow and Improving Water Quality through the Introduction of LID Techniques
by Jeongho Han and Seoro Lee
Sustainability 2024, 16(20), 8932; https://doi.org/10.3390/su16208932 - 15 Oct 2024
Viewed by 880
Abstract
Rapid climate change and increasing water use have led to various problems in small- and medium-sized urban streams during dry periods, such as stream drying, water pollution, and ecological degradation, reducing their physical and ecological functions. Ensuring adequate baseflow and improving water quality [...] Read more.
Rapid climate change and increasing water use have led to various problems in small- and medium-sized urban streams during dry periods, such as stream drying, water pollution, and ecological degradation, reducing their physical and ecological functions. Ensuring adequate baseflow and improving water quality during these critical periods are essential for maintaining urban stream health. While previous studies have explored the effects of Low Impact Development (LID) techniques (e.g., green roof, rainwater harvesting system, permeable pavement, infiltration trench) on infiltration and groundwater recharge, they have primarily focused on general flow regimes rather than dry and low-flow periods. This study specifically evaluates the effects of LID techniques on securing baseflow and improving water quality during dry periods, utilizing the SWAT-MODFLOW model and the Web-based Hydrograph Analysis Tool (WHAT) system. The results show that LID techniques reduce peak flow by an average of 27% and secure an additional 43% of baseflow during dry periods. Suspended solids (SS) and total phosphorus (T-P) concentrations were reduced by 15% and 41%, respectively. These findings demonstrate the effectiveness of LID techniques not only in managing stormwater runoff during flood events but also in maintaining baseflow and water quality during dry periods, thus providing valuable insights for sustainable urban watershed management. Full article
(This article belongs to the Special Issue Sustainable Water Management in Rapid Urbanization)
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22 pages, 1835 KiB  
Article
The Impact of Rapid Urbanization on the Efficiency of Industrial Green Water Use in Urban Agglomerations around Poyang Lake
by Huirong Li, Xiaoke Zhao, Xuhui Ding and Runze Zhang
Sustainability 2024, 16(19), 8698; https://doi.org/10.3390/su16198698 - 9 Oct 2024
Viewed by 1167
Abstract
The construction of urban agglomerations around Poyang Lake is an important starting point of the strategy for the improvement of central China, but the spatial agglomeration of industry and population brings great pressure to the ecological environment. It is of great practical value [...] Read more.
The construction of urban agglomerations around Poyang Lake is an important starting point of the strategy for the improvement of central China, but the spatial agglomeration of industry and population brings great pressure to the ecological environment. It is of great practical value to explore the impact of rapid urbanization on the water use efficiency of important ecological functional areas. Considering the undesired output of industrial production, this paper adopts the SE-SBM model to measure industrial green water use efficiency, comprehensively considers different aspects of urbanization of the urban agglomeration around Poyang Lake, empirically tests its inhibiting or boosting effect on industrial green water use and explores its spatial spillover effect with the help of a spatial metrology model. The results show that (1) the industrial green water use efficiency of urban agglomerations shows an overall upward trend, and the efficiency value of central cities is significantly higher than that of non-central cities and continues to show a state of diffusion; (2) social urbanization, environmental urbanization, and balanced urbanization can significantly improve industrial green water use efficiency, while industrial urbanization or industrialization inhibits the improvement in water use efficiency; (3) considering the spatial spillover factor, there are significant positive local effects between population urbanization and balanced urbanization, and significant positive spatial spillover effects between industrial urbanization and environmental urbanization; (4) the original model can pass the significance test by replacing the output-oriented water use efficiency with the input-oriented or non-oriented water use efficiency; the study area is extended to Jiangxi Province, and the impact of urbanization on industrial water use efficiency is basically consistent. We should adhere to the new type of urbanization that improves well-being and is friendly to the environment, rationally plan the industrial spatial pattern of urban agglomerations, adhere to the ecological and environmental threshold on undertaking industrial transfer, and promote the flow and sharing of green production factors. Full article
(This article belongs to the Special Issue Sustainable Water Management in Rapid Urbanization)
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19 pages, 14247 KiB  
Article
Analysis of Short-Term Heavy Rainfall-Based Urban Flood Disaster Risk Assessment Using Integrated Learning Approach
by Xinyue Wu, Hong Zhu, Liuru Hu, Jian Meng and Fulu Sun
Sustainability 2024, 16(18), 8249; https://doi.org/10.3390/su16188249 - 22 Sep 2024
Cited by 1 | Viewed by 1423
Abstract
Accurate and timely risk assessment of short-term rainstorm-type flood disasters is very important for ecological environment protection and sustainable socio-economic development. Given the complexity and variability of different geographical environments and climate conditions, a single machine learning model may lead to overfitting issues [...] Read more.
Accurate and timely risk assessment of short-term rainstorm-type flood disasters is very important for ecological environment protection and sustainable socio-economic development. Given the complexity and variability of different geographical environments and climate conditions, a single machine learning model may lead to overfitting issues in flood disaster assessment, limiting the generalization ability of such models. In order to overcome this challenge, this study proposed a short-term rainstorm flood disaster risk assessment framework under the integrated learning model, which is divided into two stages: The first stage uses microwave remote sensing images to extract flood coverage and establish disaster samples, and integrates multi-source heterogeneous data to build a flood disaster risk assessment index system. The second stage, under the constraints of Whale Optimization Algorithm (WOA), optimizes the integration of random forest (RF), support vector machine (SVM), and logistic regression (LR) base models, and then the WRSL-Short-Term Flood Risk Assessment Model is established. The experimental results show that the Area Under Curve (AUC) accuracy of the WRSL-Short-Term Flood Risk Assessment Model is 89.27%, which is 0.95%, 1.77%, 2.07%, 1.86%, and 0.47% higher than RF, SVM, LR, XGBoost, and average weight RF-SVM-LR, respectively. The accuracy evaluation metrics for accuracy, Recall, and F1 Score have improved by 5.84%, 21.50%, and 11.06%, respectively. In this paper, WRSL-Short-Term Flood Risk Assessment Model is used to carry out the risk assessment of flood and waterlogging disasters in Henan Province, and ArcGIS is used to complete the short-term rainstorm city flood and waterlogging risk map. The research results will provide a scientific assessment basis for short-term rainstorm city flood disaster risk assessment and provide technical support for regional flood control and risk management. Full article
(This article belongs to the Special Issue Sustainable Water Management in Rapid Urbanization)
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36 pages, 23351 KiB  
Article
Water Resource Regulation and Evaluation Method Based on Optimization of Drought-Limited Water Level in Reservoir Group
by Sheng He, Dongmei Wang, Xuefeng Sang and Geng Niu
Sustainability 2024, 16(16), 7015; https://doi.org/10.3390/su16167015 - 15 Aug 2024
Viewed by 1113
Abstract
Reservoirs, as critical nodes in regional water management, play an increasingly important role in drought mitigation. This study aims to optimize the drought-limited water level in the reservoir group and propose an evaluation method for selecting the optimal regulation scheme during drought periods. [...] Read more.
Reservoirs, as critical nodes in regional water management, play an increasingly important role in drought mitigation. This study aims to optimize the drought-limited water level in the reservoir group and propose an evaluation method for selecting the optimal regulation scheme during drought periods. The reservoir water supply module within the Water Allocation and Simulation (WAS) model was enhanced to optimize the drought-limited water level of the reservoir group. A comprehensive adaptation index (CAI) was developed to quantitatively evaluate the effectiveness of water resource regulation under various drought scenarios. This methodology was applied to large and medium-sized reservoirs in the central Yunnan Province, China. The results show that the optimized drought-limited water level significantly improved the water supply performance of the reservoir group during drought years. Specifically, the optimized drought-limited water level notably reduced severe water shortage for water users in the long series and typical drought years, effectively mitigating the impacts of drought. Additionally, the most suitable water resource regulation strategies for different drought scenarios were identified. These research findings can provide technical references for reservoir management departments and drought operations authorities to formulate drought-limited level for the reservoir group and implement regional drought early warning and defense decision-making. Full article
(This article belongs to the Special Issue Sustainable Water Management in Rapid Urbanization)
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