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Water
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Advanced Technology for Smart Environment and Water Treatment
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Advanced Technology for Smart Environment and Water Treatment

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Wastewater Treatment and Reuse".

Deadline for manuscript submissions: closed (15 February 2024) | Viewed by 3062

Special Issue Editors

Dr. Jamal Mabrouki

E-Mail Website
Guest Editor
Faculty of Sciences, Mohammed V University in Rabat, Rabat, Morocco
Interests: environment and energy; wastewater; smart systems; water resources; hydrogeology environment; environmental impact; water treatment
Special Issues, Collections and Topics in MDPI journals
Dr. Mourade Azrour

E-Mail Website
Guest Editor
Department of Computer, Faculty of Sciences and Technologies, Moulay Ismail University of Meknès, Errachidia 52000, Morocco
Interests: security; network; protocol
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

New technologies are a necessity in the daily life of our generation. Today, it is difficult to live without a phone, a computer or even WIFI. However, the links between the environment and technology are not very positive. Green technology has developed in this context. The latter aims to contribute to the improvement of the quality of the environment. It seeks to create technologies that aim to monitor, reduce and control the negative impact of this sector on the environment. Hence, the implementation of solar panels and purification stations. The "low-tech" innovations also allow us to improve our environmental impact; for example, the insulation of a house to avoid spending a lot of energy. In this conception, the needs of the present and future generations are not limited by the stock of natural resources, but by the state of the techniques to take advantage of them. It is therefore not a question of pointing out the limits of the planet's capacity to meet needs, as suggested by the Meadows report, but rather of looking at the capacity of people and techniques.

Dr. Jamal Mabrouki
Prof. Dr. Mourade Azrour
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. 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 2600 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

  • environment
  • energy
  • smart system
  • water treatment
  • artificial intelligence for environment and water
  • water informatics
  • applications of environment and water
  • innovative environment
  • wastewater treatment
  • nanomaterials
  • water engineering
  • catalysis
  • chemical kinetics
  • environmental chemistry
  • water quality modeling
  • IoT and smart devices
  • internet of things
  • water quality
  • hydrogeology environment
  • environmental impact
  • water treatment

Published Papers (2 papers)

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Research

19 pages, 4267 KiB  
Article
Green Development of Titanium Dioxide Using Astragalus boeticus for the Degradation of Cationic and Anionic Dyes in an Aqueous Environment
by Fadwa Maanane, Adil El Yadini, Marouane El Alouani, Jamal Mabrouki, Hamid Saufi and Mohamed Tabyaoui
Water 2023, 15(19), 3471; https://doi.org/10.3390/w15193471 - 30 Sep 2023
Viewed by 1474
Abstract
Wastewater discharge from the textile industry poses significant health problems for humans. As a result, the effluent waters are often rich in dyes, whose low natural decomposition capacity makes their treatment complex, thus contributing to environmental degradation. It becomes imperative to implement effective [...] Read more.
Wastewater discharge from the textile industry poses significant health problems for humans. As a result, the effluent waters are often rich in dyes, whose low natural decomposition capacity makes their treatment complex, thus contributing to environmental degradation. It becomes imperative to implement effective solutions for treating these contaminated waters, with a primary goal: to make them fit for human consumption. The present study focuses on the development of green TiO2 nanoparticles (TiO2-NP) using titanium (IV) isopropoxide as a precursor, along with the extract of Astragalus boeticus (A.B). These green TiO2 nanoparticles have been developed for use as highly efficient photocatalysts for the degradation of two types of dyes: Reactive Yellow 161 (RY161), an anionic dye, and Crystal Violet (CV), a cationic dye. The structural, microstructural, and optical properties of the synthesized material were characterized using XRD, FTIR, SEM, EDX, and UV-Vis methods. The results of these analyses revealed that the nanoparticles have a size of approximately 68 nm, possess an anatase structure, exhibit a spherical surface morphology, and have a band gap of 3.22 eV. The photocatalytic activity of the synthesized material demonstrated a 94.06% degradation of CV dye in a basic environment (pH = 10) within 30 min, with an initial CV concentration of 10 mg/L and a catalyst mass of 1 g/L. Additionally, it achieved a 100% degradation of RY161 dye in an acidic environment (pH = 4) within 90 min, with an initial RY161 concentration of 30 mg/L and a catalyst mass of 1 g/L. Furthermore, the recycling study indicated that the green TiO2 NPs catalyst could be effectively reused for up to five cycles. These experimental findings suggest that the developed TiO2 catalyst holds significant potential as an eco-friendly solution for remediating aqueous media polluted by both anionic and cationic dyes. Full article
(This article belongs to the Special Issue Advanced Technology for Smart Environment and Water Treatment)
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16 pages, 3084 KiB  
Article
Spatio-Temporal Model of a Product–Sum Simulation on Stream Network Based on Hydrologic Distance
by Achmad Bachrudin, Budi Nurani Ruchjana, Atje Setiawan Abdullah and Rahmat Budiarto
Water 2023, 15(11), 2039; https://doi.org/10.3390/w15112039 - 27 May 2023
Viewed by 1037
Abstract
The modeling of spatio-temporal processes is crucial in many fields such as environmental science, hydrology, and water storage engineering. A basic concept of the spatio-temporal model is an auto-covariance function. The stream network model based on the Euclidean distance as the auto-covariance function [...] Read more.
The modeling of spatio-temporal processes is crucial in many fields such as environmental science, hydrology, and water storage engineering. A basic concept of the spatio-temporal model is an auto-covariance function. The stream network model based on the Euclidean distance as the auto-covariance function for investigating river pollution will potentially face a serious accuracy problem, due to the material or water pollutant movement on the water only occurring within the river network and the distance travelled not following the path of the river network. The use of the hydrologic distance may overcome the problem because, statistically, the Euclidean distance-based auto-covariance function is not valid if it is a negative-definite. Therefore, this study develops a spatio-temporal model of the generalized product–sum based on the hydrologic distance with a positive-definite property. The proposed model is built and, subsequently, it is then verified mathematically to be positive-definite. Furthermore, the relationships between the hydrologic distance, the Euclidean distance, and spatial configurations are also investigated. The simulation study result shows the proposed spatio-temporal model is positive-definite for some semivariogram models. The relationships between spatial configurations in the stream network follow an exponential model. Full article
(This article belongs to the Special Issue Advanced Technology for Smart Environment and Water Treatment)
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