Special Issue "Urban Water Security and Sustainable Development"

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Urban Water Management".

Deadline for manuscript submissions: 31 January 2022.

Special Issue Editors

Prof. Dr. Kairong Lin
E-Mail Website
Guest Editor
Sun Yat-sen University, Guangzhou 510275, China
Interests: Water security in changing environment
Prof. Dr. Fan Lu
E-Mail Website
Guest Editor
China Institute of Water Resources and Hydropower Research, Beijing 100048, China
Interests: climate change and water resources; drought risk; non-stationary; statistics of extreme values; hydrological frequency
Special Issues, Collections and Topics in MDPI journals
Dr. Tian Lan
E-Mail Website
Guest Editor
School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China
Interests: Urban flood modelling

Special Issue Information

Dear Colleagues,

In the 21st century, the world will see an unprecedented migration of people moving from rural to urban areas. With global demand for water projected to outstrip supply in the coming decades, cities will likely face water insecurity as a result of climate change and the various impacts of urbanization. Traditionally, urban water managers have relied on large-scale, supply-side infrastructural projects to meet increased demands for water; however, these projects are environmentally, economically, and politically costly. The field of urban water security argues that cities need to transition from supply-side to demand-side management to achieve urban water security and sustainable development. The differing climates, incomes, lifestyles, and urban-level technical, environmental, ecosystem and socio-economic indicators from around the world need to be deliberated for urban water security, in consideration of the trade-off between urbanization and water security. The assessment of water security and application of measures are also advocated to modify the attitudes and behaviors of water users in an attempt to target scant resources more effectively and sustainably.

Prof. Dr. Kairong Lin
Prof. Dr. Fan Lu
Dr. Tian Lan
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 papers will be 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. Water 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 2200 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.


  • water security
  • sustainable urban development
  • urban hydrological law
  • urban waterlogging
  • sponge city
  • protection and restoration of urban water environment
  • smart water
  • urban flood control
  • ecosystem
  • climate change

Published Papers (1 paper)

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Inland Reservoir Water Quality Inversion and Eutrophication Evaluation Using BP Neural Network and Remote Sensing Imagery: A Case Study of Dashahe Reservoir
Water 2021, 13(20), 2844; https://doi.org/10.3390/w13202844 - 12 Oct 2021
Cited by 1 | Viewed by 536
In this study, an inland reservoir water quality parameters’ inversion model was developed using a back propagation (BP) neural network to conduct reservoir eutrophication evaluation, according to multi-temporal remote sensing images and field observations. The inversion model based on the BP neural network [...] Read more.
In this study, an inland reservoir water quality parameters’ inversion model was developed using a back propagation (BP) neural network to conduct reservoir eutrophication evaluation, according to multi-temporal remote sensing images and field observations. The inversion model based on the BP neural network (the BP inversion model) was applied to a large inland reservoir in Jiangmen city, South China, according to the field observations of five water quality parameters, namely, Chlorophyl-a (Chl-a), Secchi Depth (SD), total phosphorus (TP), total nitrogen (TN), and Permanganate of Chemical Oxygen Demand (CODMn), and twelve periods of Landsat8 satellite remote sensing images. The reservoir eutrophication was evaluated. The accuracy of the BP inversion model for each water parameter was compared with that of the linear inversion model, and the BP inversion models of two parameters (i.e., Chl-a and CODMn) with larger fluctuation range were superior to the two multiple linear inversion models due to the ability of improving the generalization of the BP neural network. The Dashahe Reservoir was basically in the state of mesotrophication and light eutrophication. The area of light eutrophication accounted for larger proportions in spring and autumn, and the reservoir inflow was the main source of nutrient salts. Full article
(This article belongs to the Special Issue Urban Water Security and Sustainable Development)
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Pingjiang Urban Area Flood Management Capacity Enhancement
Authors: Li Changzhi
Affiliation: IWHR
Abstract: As one of the most essential aspects of urban water security, flood management capacities are urgently needed to be enhanced for Pingjiang county urban areas which are prominent by low criteria of existing flood control structures, unclosed levee circles, special locations in the catchment, and rapid urbanization. A study was performed for this objective by means of scenarios analysis (with project and without project, climate change) and flood risk assessment, in which transformed, future, and residual flood risks were analyzed for the county city urban areas. The main proposals were raised as: (1) structural measures are crucial to urban small and medium-sized flood, including levee circles fulfillment around and within the urban areas, (2) special measures should be adopted to retard heavy floods in upper reach areas, such as reservoirs’ regulation and temporary detention sluice gate in the upper reach areas of the county city; and (3) a smart flood early warning system is urgently needed to surveil rainstorm and water level in the major subbasins and stream reaches at river basin scale.

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