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Sustainability
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Sustainable Urban Design for Effective Flood and Drought Risk Management
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Sustainable Urban Design for Effective Flood and Drought Risk Management

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Environmental Sustainability and Applications".

Deadline for manuscript submissions: closed (31 July 2023) | Viewed by 7468

Special Issue Editors

Prof. Dr. Mehmet Ozger

E-Mail Website
Guest Editor
Hydraulics Lab, Civil Engineering Faculty, Istanbul Technical University, Istanbul 34000, Turkey
Interests: hydrologic and hydraulic modelling; flood risk management; stormwater infrastructure design; low-impact development practices; water structures
Dr. Ömer Ekmekcioglu

E-Mail Website
Guest Editor
Hydraulics Lab, Civil Engineering Faculty, Istanbul Technical University, Istanbul 34000, Turkey
Interests: hydrologic modelling; sustainable strategies; flood risk management; urban hydrology; machine learning; multicriteria decision making; low-impact development practices; deep learning applications; time series modeling

Special Issue Information

Dear Colleagues,

The cities we live in today are under the influence of extreme hydrological events from two sides. On the one hand, drought events are encountered due to insufficient water supply; on the other hand, flash floods are seen frequently due to changes in precipitation regimes. Although these two events are at different extremes, they are actually related to each other in terms of engineering solutions. The measures that we take to reduce the peak value of the flood hydrograph can also be used as additional resources in the times of droughts.

This Special Issue will focus on new approaches, concepts, and case studies for combating drought and flooding in cities. While runoff coefficients increase due to urbanization, nearly all of the drained storm water is captured in the infrastructure and then conveyed to the nearest water body and consequently removed from the basin. It is one of the aims of this Special Issue to investigate what can be done to keep the storm water within the watershed where it falls. Another aim of this Special Issue is to analyze the impact of best management practices (e.g., low-impact development strategies) on integrated water resources management conducted in urbanized areas. Techniques to deal with different types of floods, such as coastal flooding and hurricane-induced flooding, encountered in cities are also main interests of this Special Issue. This Special Issue is expected to supplement the existing literature by diversifying urban flood management methods with engineering solutions and green infrastructure applications, presenting new approaches for drought mitigation, and introducing integrated management for drought and floods. In addition, the identification of potential measures to reduce the hazardous impacts of these incidents and to build resilience against drought and floods are primary objectives of this Special Issue.

This Special Issue of Sustainability focuses on methods, designs, and strategies required for sustainable cities with regards to water. It is believed that virtual experiments through various modeling techniques(i.e., advanced computing methods (machine learning and deep learning) and multicriteria decision making algorithms) would enhance the potential strategies chosen against droughts and floods. This Special Issue plans to give an overview of the most recent advances in the field of excess water control, water harvesting, and green infrastructure. It is aimed at providing selected contributions on the investigation of socio-economic and environmental impacts of water-related natural disasters such as droughts and floods.

Potential topics include, but are not limited to:

  • Flood risk management;
  • Sustainable urban drainage;
  • Stormwater management;
  • Stormwater harvesting;
  • Low-impact development;
  • Hydrologic and hydraulic modelling;
  • Drought management;
  • Water cisterns;
  • Aquifer recharge;
  • Environmental, economic, and health aspects of floods and droughts;
  • Machine learning applications;
  • Utilization of multicriteria decision-making algorithms;
  • Integrated watershed analysis;
  • Hazard, vulnerability, and exposure aspects of water-related disasters.

Prof. Dr. Mehmet Ozger
Dr. Ömer Ekmekcioglu
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

  • flood
  • drought
  • sustainability
  • resilience
  • hazard
  • vulnerability
  • exposure
  • green infrastructure
  • climate change adaption
  • urban planning
  • machine learning
  • deep learning
  • multicriteria decision making

Published Papers (2 papers)

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Research

15 pages, 1865 KiB  
Article
Performance Assessment Comparison between Physically Based and Regression Hydrological Modelling: Case Study of the Euphrates–Tigris Basin
by Goksel Ezgi Guzey and Bihrat Önöz
Sustainability 2023, 15(13), 10657; https://doi.org/10.3390/su151310657 - 06 Jul 2023
Cited by 1 | Viewed by 806
Abstract
This paper presents two hydrological models developed for the Euphrates–Tigris Basin in Turkey. The first model is a linear regression-based model allowing the estimation of streamflow based on available hydroclimatic data (precipitation, temperature, evapotranspiration, etc.) with the use of clustering analysis. The second [...] Read more.
This paper presents two hydrological models developed for the Euphrates–Tigris Basin in Turkey. The first model is a linear regression-based model allowing the estimation of streamflow based on available hydroclimatic data (precipitation, temperature, evapotranspiration, etc.) with the use of clustering analysis. The second model consists of an elevation-based semi-distributed hydrological model (HBV model), allowing process-based modelling of the watershed. A set of performance metrics identified the HBV model as the best performance in terms of predicting streamflow (NSE = 0.752), while the RCA4-EU regression model of CORDEX showed the most robust performance. The results show the potential of regression models from a computational and data point of view in being integrated into physically based models wherein a hybrid approach might be beneficial. The comparison of conceptual models with statistical analyses of streamflow shows the potential of regression analysis when the regions are clustered in hydro-meteorologically homogeneous groups. The employment of the conceptual model HBV also provides significantly robust streamflow estimation for the region, which is especially important in estimating the hydropower potential of the region’s near future. Full article
(This article belongs to the Special Issue Sustainable Urban Design for Effective Flood and Drought Risk Management)
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15 pages, 6721 KiB  
Article
Impact Assessment of Changing Landcover on Flood Risk in the Indus River Basin Using the Rainfall–Runoff–Inundation (RRI)
by Hamza Shahid, Masaya Toyoda and Shigeru Kato
Sustainability 2022, 14(12), 7021; https://doi.org/10.3390/su14127021 - 08 Jun 2022
Cited by 5 | Viewed by 5414
Abstract
Flooding is frequent in the province of Punjab, Pakistan, because the Indus River is a confluence point of five rivers. Researchers have primarily focused on the northern parts of the Indus basin and they have reported on simulation models that can be applied [...] Read more.
Flooding is frequent in the province of Punjab, Pakistan, because the Indus River is a confluence point of five rivers. Researchers have primarily focused on the northern parts of the Indus basin and they have reported on simulation models that can be applied to the evaluation of flood risk. However, the inundation risks in the southern parts of the basin, including the impact of urbanization in this region, require a further assessment. The severity of flood disasters in the upper and lower reaches of the Indus basin are equally important because flash floods and riverine flooding pose a threat to densely populated areas. In this work, we aim to simulate flooding and the effects of landcover changes on inundation in the upper and lower Indus basin. Inundation was determined using the Rainfall–Runoff–Inundation (RRI) model with rainfall data from the monsoon season (00:00 UTC 1 July 2015–00:00 UTC 1 September 2015) as the input. After validating the model, sensitivity experiments were conducted to analyze the effect of landcover changes on the inundation of the Indus basin. The RRI model results showed that planting in the bare and vegetated areas led to minimum inundation in the Indus basin. Based on these results, planting between the Indus River and Chenab River could prevent flood disasters downstream of the confluence point as the discharge values reduced from 15,695.2 m3/s to 12,078.3 m3/s and 4373.7 m3/s to 2934.6 m3/s in the Indus River and Chenab River, respectively, before the confluence point. In contrast, urbanization in Punjab increased the risk of inundation after the confluence point caused by an increased discharge from 12,078.3 m3/s to 14,190.4 m3/s and 2934.6 m3/s to 4229.5 m3/s in the Indus River and Chenab River, respectively, before the confluence point. Full article
(This article belongs to the Special Issue Sustainable Urban Design for Effective Flood and Drought Risk Management)
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