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Special Issue "Sustainable Rainwater Management: Challenges and Perspectives"

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

Deadline for manuscript submissions: 30 June 2023 | Viewed by 2099

Special Issue Editors

Department of Infrastructure and Water Management, Rzeszow University of Technology, al. Powstańców Warszawy 6, 35-959 Rzeszów, Poland
Interests: direction and wave of rainfall; Detention Tank; stormwater drainage system; Urban Environmental Engineering; precipitation; Rainfall; Hydrodynamic Modeling; SWMM
Department of Infrastructure and Sustainable Development, Rzeszow University of Technology, al. Powstańców Warszawy 6, 35-959 Rzeszów, Poland
Interests: waste heat recovery systems; rainwater harvesting systems; retention; sewage systems; underground infrastructure; modeling; water management; multicriteria decision making
Special Issues, Collections and Topics in MDPI journals
Department of Infrastructure and Water Management, Rzeszow University of Technology, al. Powstańców Warszawy 6, 35-959 Rzeszów, Poland
Interests: drain water heat recovery; waste heat recovery systems; sewage systems; multicriteria decision making; decision support; stormwater management; best management practices; low impact development; hydrodynamic modeling
Special Issues, Collections and Topics in MDPI journals
Department of Infrastructure and Water Management, Rzeszow University of Technology, al. Powstańców Warszawy 6, 35-959 Rzeszów, Poland
Interests: detention tank; urban environmental engineering; stormwater; urban floods; precipitations; rainfall; hydrodynamic modeling; heat recovery from sewage; water and sewage measurement; SWMM; CFD modeling
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

An inherent part of civilization’s development and progressive urbanization, despite the undoubted advantages of these processes, is the occurrence of environmental adverse effects. Replacing natural areas with impermeable ones diminishes the volume of water subject to retention and infiltration into the ground, which increases the risk of both flooding and urban drought. Experience shows that existing conventional drainage systems are not capable of transporting the entire surface runoff resulting from heavy rainfall, which causes significant financial as well as social losses. This, in turn, leads to increased interest in using pro-environmental solutions. The existing literature proves that sustainable rainwater management provides many economical, social and environmental benefits, including diminishing the risk of flooding, improving the micro-climate in urban agglomerations, and reducing water consumption, etc. Furthermore, in many cases, the usage of sustainable drainage systems might be a financial advantage for investors.

In this Special Issue of the Sustainability journal, articles on current and innovative strategies concerning the management of rainwater, which will aim to meet the challenges relating to the quality and quantity of rainwater and drainage infrastructure, will be welcome.

Dr. Mariusz Starzec
Prof. Dr. Daniel Słyś
Dr. Sabina Kordana-Obuch
Dr. Kamil Pochwat
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 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.

Keywords

  • stormwater runoff
  • low impact development (LID)
  • stormwater runoff models
  • environmental risk assessment
  • rainfall
  • urban floods and droughts
  • hydrodynamic modeling
  • urban environmental engineering
  • stormwater management
  • best management practices
  • climate change
  • alternative water sources
  • rainwater harvesting
  • best management practices
  • blue and green infrastructure
  • sponge cities
  • quantitative and qualitative assessment of rainwater
  • rainwater treatment methods
  • water scarcity
  • sustainable decision making

Published Papers (2 papers)

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Research

Article
Pioneer Use of Pseudo Sub-Daily Timestep Model for Rainwater Harvesting Analysis: Acceptance over Hourly Model and Exploring Accuracy of Different Operating Algorithms
Sustainability 2023, 15(5), 3870; https://doi.org/10.3390/su15053870 - 21 Feb 2023
Viewed by 518
Abstract
This study investigates the effectiveness of a pseudo sub-daily timestep model, which uses 6-hourly variable demands and daily rainfall values split into four equal 6-hourly portions. To assess the achievements through such sub-daily model, simulations were conducted using 6-hourly YBS (yield before storage), [...] Read more.
This study investigates the effectiveness of a pseudo sub-daily timestep model, which uses 6-hourly variable demands and daily rainfall values split into four equal 6-hourly portions. To assess the achievements through such sub-daily model, simulations were conducted using 6-hourly YBS (yield before storage), 6-hourly YAS (yield after storage), daily YBS and daily YAS models using rainfall data from a station near Melbourne (Australia) city under different input conditions. Results from the developed models were compared with the results of an earlier developed hourly timestep model, which considered hourly rainfall data and hourly variable rainwater demands. From the results, it is found that the results of YAS models are more accurate compared to the results of YBS models. Considering only potential water savings, daily YAS model results are very similar to the 6-hourly YAS model results. Full article
(This article belongs to the Special Issue Sustainable Rainwater Management: Challenges and Perspectives)
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Article
Modeling of Fuzzy Cognitive Maps with a Metaheuristics-Based Rainfall Prediction System
Sustainability 2023, 15(1), 25; https://doi.org/10.3390/su15010025 - 20 Dec 2022
Viewed by 618
Abstract
Rainfall prediction remains a hot research topic in smart city environments. Precise rainfall prediction in smart cities becomes essential for planning security measures before construction and transportation activities, flight operations, water reservoir systems, and agricultural tasks. Precise rainfall forecasting now becomes more complex [...] Read more.
Rainfall prediction remains a hot research topic in smart city environments. Precise rainfall prediction in smart cities becomes essential for planning security measures before construction and transportation activities, flight operations, water reservoir systems, and agricultural tasks. Precise rainfall forecasting now becomes more complex than before because of extreme climatic changes. Machine learning (ML) approaches can forecast rainfall by deriving hidden patterns from historic meteorological datasets. Selecting a suitable classification method for forecasting has become a tough job. This article introduces the Fuzzy Cognitive Maps with a Metaheuristics-based Rainfall Prediction System (FCMM-RPS) technique. The intention of the FCMM-RPS technique is to predict rainfall automatically and efficiently. To accomplish this, the presented FCMM-RPS technique primarily pre-processes the rainfall data to make it compatible. In addition, the presented FCMM-RPS technique predicts rainfall using the FCM model. To enhance the rainfall prediction outcomes of the FCM model, the parameter optimization process is performed using a modified butterfly optimization algorithm (MBOA). The performance assessment of the FCMM-RPS technique is tested on a rainfall dataset. A widespread comparison study highlights the improvements of the FCMM-RPS technique in the rainfall forecasting process compared to existing techniques with a maximum accuracy of 94.22%. Full article
(This article belongs to the Special Issue Sustainable Rainwater Management: Challenges and Perspectives)
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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: Life Cycle Assessment of Rainwater Harvesting: New Research Perspectives
Authors: Rodrigo Novais Istchuk; Igor Catão Martins Vaz; Enedir Ghisi
Affiliation: Federal University of Santa Catarina, Dept of Civil Engineering, Brazil

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