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Sustainability
Special Issues
Emerging Frontiers, Processes and Technologies for Water Sustainability
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Emerging Frontiers, Processes and Technologies for Water Sustainability

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

Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 3282

Special Issue Editors

Prof. Dr. Oishi Sanyal

E-Mail Website
Guest Editor
Department of Chemical and Biomedical Engineering, West Virginia University, Morgantown, WV 26506, USA
Interests: membranes for water treatment and gas separation
Dr. Fernando V. Lima

E-Mail Website
Guest Editor
Department of Chemical and Biomedical Engineering, West Virginia University, Morgantown, WV 26506, USA
Interests: process systems engineering methods for process design and intensification; advanced control and state estimation; modular energy systems and sustainability
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Omar I. Abdul-Aziz

E-Mail Website
Guest Editor
Wadsworth Department of Civil and Environmental Engineering, West Virginia University, Morgantown, WV 26506, USA
Interests: ecological–water resources engineering; scaling and robust predictions of ecohydrological, hydroclimatological, and biogeochemical processes; modeling of water quality and ecosystem health; modeling of freshwater flooding in large-scale coastal urban–natural environments

Special Issue Information

Dear Colleagues,

Water sustainability is critical to ensure the increasing demand of fresh water supply, fueled by rapid urbanization and population growth across the world. Solving a problem of this scale requires a highly interdisciplinary approach—involving methods and tools of predictions, impact assessments, development of novel treatment technologies, and process systems engineering. Our team of editors aims to bring together these diverse topics in this Special Issue with a collection of papers from experts around the world. We invite papers across the broad spectrum of environmental/water resources sciences and engineering, including impacts of changing climate, land use/cover, and sea level rise on water quantity and quality. In terms of novel treatment technologies, papers are solicited from various areas including, but not limited to, membrane-based techniques, electrochemical separations, novel adsorbents, etc. For process systems engineering, contributions involving theoretical developments or applications are sought in the areas of process modeling, simulation, optimization, advanced control, as well as technoeconomic and sustainability analyses. 

Prof. Dr. Oishi Sanyal
Prof. Dr. Fernando V. Lima
Prof. Dr. Omar I. Abdul-Aziz
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

  • stream water quantity and quality
  • ecosystem health
  • changing climate and land use/cover
  • separation technologies
  • water treatment
  • process integration
  • modular processes
  • process simulation
  • process optimization
  • process control
  • technoeconomic and sustainability analyses

Published Papers (1 paper)

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Research

18 pages, 3955 KiB  
Article
Knowledge-Based Optimal Irrigation Scheduling of Agro-Hydrological Systems
by Soumya R. Sahoo, Bernard T. Agyeman, Sarupa Debnath and Jinfeng Liu
Sustainability 2022, 14(3), 1304; https://doi.org/10.3390/su14031304 - 24 Jan 2022
Cited by 4 | Viewed by 1993
Abstract
Agricultural irrigation consumes about 70% of freshwater globally every year. To improve the water-use efficiency in agricultural irrigation is critical as we move toward water sustainability. An irrigation scheduler determines how much water to irrigate and when to irrigate for an agricultural field. [...] Read more.
Agricultural irrigation consumes about 70% of freshwater globally every year. To improve the water-use efficiency in agricultural irrigation is critical as we move toward water sustainability. An irrigation scheduler determines how much water to irrigate and when to irrigate for an agricultural field. To get a high-resolution irrigation-scheduling solution for a large-scale agricultural field is still an open research problem. In this work, we propose a knowledge-based optimal irrigation-scheduling approach for large-scale agricultural fields that are equipped with center pivot irrigation systems. The proposed scheduler is designed in the framework of model predictive control. The objective of the proposed scheduler is to maximize crop yield while minimizing irrigation water consumption and the associated electricity usage. First, we introduce a structure-preserving model reduction technique to significantly reduce the dimensionality of agro-hydrological systems. Then, based on the reduced model, an optimization-based scheduler is designed. In the design of the scheduler, knowledge from farmers is taken into account to further reduce the computational complexity of the scheduler. The proposed approach explicitly considers both the irrigation time and the irrigation amount as decision variables to keep the crop within the stress-free zone considering the weather uncertainty and heterogeneous soil types for large agricultural fields. The proposed approach is applied to three different scenarios with different soil types, crops, and weather uncertainty. The results show that in all the conditions, the scheduler is capable of keeping the crops stress-free, which results in maximum yield and, at the same time, minimizes water consumption and irrigation events. Full article
(This article belongs to the Special Issue Emerging Frontiers, Processes and Technologies for Water Sustainability)
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