Water Resources and Industry最新文献

{"title":"Activated persulfate and peroxymonosulfate based advanced oxidation processes (AOPs) for antibiotics degradation – A review","authors":"Zhila Honarmandrad ,&nbsp;Xun Sun ,&nbsp;Zhaohui Wang ,&nbsp;M. Naushad ,&nbsp;Grzegorz Boczkaj","doi":"10.1016/j.wri.2022.100194","DOIUrl":"10.1016/j.wri.2022.100194","url":null,"abstract":"<div><p>Sulfate radical AOPs (SR-AOP) were successfully utilized in degradation of antibiotics in water and wastewater treatment. The review discusses details on SR-AOPs mechanisms and applications for antibiotics degradation. The progress in this field was discussed, highlighting the most promising developments and remaining challenges. The applicability of SR-AOPs was summarized revealing the most susceptible and persistent to oxidation groups of pharmaceuticals. Highest effectiveness was reported for degradation of pharmaceuticals on ppb level. Systems revealed a scavenging effect in case of oxidant dose 0.7 mM of the PS and 2 mM of PMS. Future development demands simple persulfates activation systems for real matrix treatment.</p></div>","PeriodicalId":23714,"journal":{"name":"Water Resources and Industry","volume":"29 ","pages":"Article 100194"},"PeriodicalIF":5.1,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47000201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of substrates on the potential of Phragmites australis to accumulate and translocate selected contaminants from landfill leachate","authors":"Aleksandra Wdowczyk ,&nbsp;Agata Szymańska-Pulikowska","doi":"10.1016/j.wri.2023.100203","DOIUrl":"10.1016/j.wri.2023.100203","url":null,"abstract":"<div><p>The choice of constructed wetlands substrate is a very important issue, there is still a lack of studies that analyse the effect of different types of substrate on the efficiency of the accumulate and translocate contaminants from landfill leachate. Therefore, the objectives of study were to evaluate the effect of substrate on the potential of <em>Phragmites australis</em> to accumulate and translocate selected contaminants from leachate. The lowest translocation was recorded for Fe and Cu, and the highest for K and Ni. Translocation between root and shoots for most parameters (total Kjeldahl nitrogen, total phosphorus, K and Mn) was high (TF &gt; 1.0). However, for Fe, Cu, Cr and Ni translocation was low in most variants (TF &lt; 1.0). Only for Cr there were statistically significant differences between the substrates. The obtained bioaccumulation factor values for Cu, Cr and Ni show that <em>P.australis</em> does not have a good ability to phytoaccumulate heavy metals from leachate.</p></div>","PeriodicalId":23714,"journal":{"name":"Water Resources and Industry","volume":"29 ","pages":"Article 100203"},"PeriodicalIF":5.1,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41511346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Freshwater competition among agricultural, industrial, and municipal sectors in a water-scarce country. Lessons of Pakistan's fifty-year development of freshwater consumption for other water-scarce countries","authors":"A.W. Siyal ,&nbsp;P.W. Gerbens-Leenes ,&nbsp;S.D. Vaca-Jiménez","doi":"10.1016/j.wri.2023.100206","DOIUrl":"10.1016/j.wri.2023.100206","url":null,"abstract":"<div><p>Agriculture, industry and municipal water supply compete over scarce freshwater. This study calculated sectoral blue water footprints (WFs) in water scarce Pakistan between 1971 and 2020. Agriculture dominates blue WFs, industry contributed 0.5–1.4%, municipal WFs 0.5–1.7%. Manufacture (cloth and yarn) and electricity production (hydropower) dominated blue industrial WFs. Agricultural crop and livestock production tripled using the same amount of blue water, but industrial and municipal WFs increased with increasing production/population, the blue industrial WF by a factor of 3.3, municipal WFs by a factor of 3.6. Pakistan's water scarcity depends on environmental flow requirement (EFR) definitions. Volumetric government definitions generate low water scarcity allocating almost all water to society. Higher EFR's generate moderate to severe scarcity. Efficient agriculture leaves more water for industry and municipal supply, increasing crop output and decreasing sectoral competition. Policy might support improved water infrastructure. Pakistan's lessons are relevant for other water scarce countries.</p></div>","PeriodicalId":23714,"journal":{"name":"Water Resources and Industry","volume":"29 ","pages":"Article 100206"},"PeriodicalIF":5.1,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47715707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Removal of Acid Blue 80 from aqueous solutions using chitosan-based beads modified with choline chloride:urea Deep Eutectic Solvent and FeO","authors":"Lucía Blanco,&nbsp;Oscar Martínez-Rico,&nbsp;Ángeles Domínguez,&nbsp;Begoña González","doi":"10.1016/j.wri.2022.100195","DOIUrl":"https://doi.org/10.1016/j.wri.2022.100195","url":null,"abstract":"<div><p>An alternative chitosan-based adsorbent modified by impregnation with deep eutectic solvent (DES) choline-chloride:urea at a molar ratio 1:2 proved efficient removal of the anthraquinone dye Acid Blue 80 (AB80) from aqueous solutions, and offered enhanced adsorption capacity compared to the starting materials. The adsorption was mainly affected by initial AB80 concentration, adsorbent dosage, contact time, and slightly influenced by temperature (25–45 °C), and pH (3.5–10). The pseudo-second-order kinetic model fitted the experimental data, and pseudo-first order model fitted as well at the highest AB80 concentration, 250 mg/L. The experimental data agreed with the Langmuir isotherm model, with a maximum adsorption capacity of 61.64 mg/g at 35 °C. The process was exothermic above 100 mg/L of dye and spontaneous up to 200 mg/L (T &lt; 35 °C). The adsorbent could be reused without further treatment at least 5 times providing ≥40% removal, whereas the dye could be efficiently recovered by NaOH desorption. Electrostatic interactions as well as physisorption could explain the adsorption behavior.</p></div>","PeriodicalId":23714,"journal":{"name":"Water Resources and Industry","volume":"29 ","pages":"Article 100195"},"PeriodicalIF":5.1,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49715126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Application of machine learning algorithms for nonlinear system forecasting through analytics — A case study with mining influenced water data","authors":"Kagiso Samuel More,&nbsp;Christian Wolkersdorfer","doi":"10.1016/j.wri.2023.100209","DOIUrl":"10.1016/j.wri.2023.100209","url":null,"abstract":"<div><p>Various techniques have been researched and introduced in water treatment plants to optimise treatment and management processes. This paper presents a solution that can help treatment plants to work more effectively and reach their mine water management goals. Using Python 3.7.1 programming language within an Anaconda 4.11.0 platform, neural networks and regression tree algorithms were compared to find the best performing model after the data had undergone robust data pre-processing and exploratory data analysis statistical techniques. The main aim was to use this best performing model to forecast mining influenced water (MIW) parameters. This approach will help the treatment plant operators in knowing the future MIW chemistry, and they can eventually plan ahead of time what chemicals and methods to use to treat and manage polluted MIW. Westrand mine pool water near Randfontein, South Africa is used as a case study, in which historical data (2016–2021) from shaft № 9 is used to train and test the algorithms. These algorithms included the artificial neural network (ANN), deep neural network (DNN), gradient boosting and random forest regression trees, while the multivariate long short-term memory (LSTM) was used to generate new data for the best performing algorithm. Different data pre-processing approaches were explored, including data interpolation and anomaly detection. These processes were carried out to highlight the most important part of completing a machine learning related project, which is data analytics. Finally, the random forest regression tree algorithm showed the overall best performance and was used to forecast Fe and acidity concentrations of MIW for 60 days. It could be shown that artificial intelligence techniques are capable to optimise and forecast mine water treatment plant parameters, and it is imperative to perform robust statistical analysis on the data before attempting to build forecasting models.</p></div>","PeriodicalId":23714,"journal":{"name":"Water Resources and Industry","volume":"29 ","pages":"Article 100209"},"PeriodicalIF":5.1,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43654509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A review of water valuation metrics: Supporting sustainable water use in manufacturing","authors":"Sujit Das ,&nbsp;Heidi Fuchs ,&nbsp;Ritu Philip ,&nbsp;Prakash Rao","doi":"10.1016/j.wri.2022.100199","DOIUrl":"10.1016/j.wri.2022.100199","url":null,"abstract":"<div><p>In the manufacturing sector, water has been often considered too cheap to conserve. Such thinking relies on water valuations that limit the value of water to the price paid. Using such simple methods, the share of water cost to total manufacturing cost is significantly small, &lt;3%. As a result, conserving water and enabling technology uptake is difficult to justify economically and slow to advance, hindering progress toward sustainable water use.</p><p>However, the value of water to a manufacturer is far greater than the price paid. Valuations such as the true cost of water consider the additional in-plant treatment and energy costs and have been gaining greater traction in the manufacturing sector. However, true cost alone still undervalues water by not accounting for economic and social costs related to scarcity and environmental externalities.</p><p>This paper makes the case and presents a framework for valuing manufacturing water beyond the price paid and the true cost. The proposed fuller valuation of manufacturing water takes into account the internal and opportunity costs associated with the realization of water risks. The paper follows with a review of a wide range of water valuation metrics, both at the specific industry level and regional/economy-wide level. The use of various valuation metrics incorporating the relationship between the change in value with change in water use, such as marginal value of water, shadow price, and elasticity at the specific industry level, has been limited in the U.S. manufacturing sector. Further, a limited number of studies exist on data-intensive subjective evaluation techniques such as computable general equilibrium modeling and input-output modeling for regional water valuation.</p><p>After reviewing water value metrics, several recent case studies from manufacturers from the literature are presented to illustrate both the promise and challenges of a fuller valuation of water as proposed here. Some large multinational corporations have moved toward assessing the value of water via supply chain sustainability initiatives, environmental profit and loss accounting, estimating risk-adjusted values of water, hydro-economic modeling, natural capital asset valuation, and developing value chain indices. This paper provides policymakers and technology developers a framework for monetizing water value beyond its true cost and current metrics. If adopted, such fuller water valuations can help make the business case for the development and deployment of cost-effective water-conserving technologies, thereby improving the sustainability of the manufacturing sector with respect to water.</p></div>","PeriodicalId":23714,"journal":{"name":"Water Resources and Industry","volume":"29 ","pages":"Article 100199"},"PeriodicalIF":5.1,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47242866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Natural deep eutectic solvent based ultrasound assisted liquid-liquid micro-extraction method for methyl violet dye determination in contaminated river water","authors":"Hameed Ul Haq ,&nbsp;Azmat Wali ,&nbsp;Faisal Safi ,&nbsp;Muhammad Balal Arain ,&nbsp;Lingshuai Kong ,&nbsp;Grzegorz Boczkaj","doi":"10.1016/j.wri.2023.100210","DOIUrl":"10.1016/j.wri.2023.100210","url":null,"abstract":"<div><p>Simple and green natural deep eutectic solvent (NADES) based ultrasound assisted liquid-liquid micro-extraction (UA-LLME) method was developed for extraction and determination of methyl violet dye in contaminated river water samples using UV/Vis spectrophotometry. Choline chloride - decanoic acid based natural deep eutectic solvent was used for extraction. Important analytical parameters like pH, deep eutectic solvent volume/phase ratio, tetrahydrofuran volume, sonication time, and temperature were optimized. Limit of detection (LOD) and limit of quantification (LOQ) were 2.20 μg/L and 7.34 μg/L respectively. Relative standard deviation was 2.35–3.21%. Linearity of method was investigated in a concentration range 10–400 μg/L. Enrichment factor was calculated as 20. For 20 mL sample, the optimized parameters were as deep eutectic solvent volume 1.5 mL, tetrahydrofuran volume was 0.6 mL, pH = 6, sonication time 2 min. The optimized method was tested for extraction of methyl violet in real water samples confirming its applicability in routine environmental analysis.</p></div>","PeriodicalId":23714,"journal":{"name":"Water Resources and Industry","volume":"29 ","pages":"Article 100210"},"PeriodicalIF":5.1,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44139091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Condensate as a water source in terrestrial and extra-terrestrial conditions","authors":"Anna Jurga ,&nbsp;Anna Pacak ,&nbsp;Demis Pandelidis ,&nbsp;Bartosz Kaźmierczak","doi":"10.1016/j.wri.2022.100196","DOIUrl":"10.1016/j.wri.2022.100196","url":null,"abstract":"<div><p>A condensate generated from air in air conditioning (AC) units is a reliable, and a stable source of water possible to be reused in different forms. This study focuses on condensate recovery from heating ventilation air conditioning (HVAC) systems maintaining ambient or indoor air. The database of experiments conducted in outdoor air is much larger than those conducted in indoor air. The experiments conducted in greenhouses, plant factories, vertical farms, and space systems and applications come with assistance The latter include facilities such as the International Space Station and closed analog ecosystems simulating future space bases. In these locations, condensate is mainly recovered for crew needs (consumption, hygiene, etc.). From these studies it is possible to derive knowledge of what treatment processes are required to obtain water of high quality. In general, the most important parameters affecting the quantity and quality of recovered condensate are climate zone and associated climate parameters, building type, building use, and supply air volume. Additionally in case of indoor air recovery, the most important parameters are the climatic conditions, people activity, plant types grown, and whether the system has to operate in a closed loop. Other important parameters influencing condensate composition is construction and material of the HVAC system and the condensate capture system. The growing interest in the market for vertical farms and closed-loop grow chambers is observed globally. Thus, this study will favor future research on condensate recovery from these facilities. This paper deepens the look at the problem of HVAC condensate recovery by including previously not considered places such as closed ecological systems, where condensate is used for drinking water purposes.</p></div>","PeriodicalId":23714,"journal":{"name":"Water Resources and Industry","volume":"29 ","pages":"Article 100196"},"PeriodicalIF":5.1,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42968409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The effects of fermented olive mill wastewater mixtures on the growth and development of bean (phaseolus vulgaris)","authors":"Zaydoun Abu Salem ,&nbsp;Kamel Alzboon ,&nbsp;Jalal Al-Tabbal ,&nbsp;Moawiya A. Haddad ,&nbsp;Nabeel M. Bani-Hani","doi":"10.1016/j.wri.2023.100201","DOIUrl":"10.1016/j.wri.2023.100201","url":null,"abstract":"<div><p>The extraction of olive oil generates considerable volumes of an agricultural by-product, olive mill wastewater (OMWW), which is damaging to the environment and biological life. To investigate the effect of fermented OMWW on number of pods, pod length, pod weight, dry weight of plant, chlorophyll <em>a</em>, chlorophyll <em>b</em>, and total chlorophyll of common bean, plants were grown and irrigated with various percentages of fermented OMWW (0%, 4%, 6%, 8%, 10%, and 100%) in a greenhouse. The study found that irrigating agricultural land with a water mix containing a specified quantity of OMWW enhanced physicochemical parameters and influenced plant characteristics. The plant characteristics were substantially affected when wastewater irrigated agricultural areas with water polluted with OMWW at concentrations no more than 4%. According to the findings of this study, utilizing 4% OMWW resulted in the best bean plant growth response, with an increase in growth indices and photosynthetic pigments.</p></div>","PeriodicalId":23714,"journal":{"name":"Water Resources and Industry","volume":"29 ","pages":"Article 100201"},"PeriodicalIF":5.1,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44488153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fuzzy analytical hierarchy process methods in changing the damming level of a small hydropower plant: Case study of Rosko SHP in Poland","authors":"Ireneusz Laks ,&nbsp;Zbigniew Walczak ,&nbsp;Natalia Walczak","doi":"10.1016/j.wri.2023.100204","DOIUrl":"https://doi.org/10.1016/j.wri.2023.100204","url":null,"abstract":"<div><p>Small hydropower plants are one of the most important renewable energy sources that do not degrade and consume natural resource. The paper presents a case study of an already operating small hydropower plant (SHP) and a potential increase in its energy production by raising the damming level. Three variants were defined and subjected to detailed analysing. The analyses used the Fuzzy AHP methodology (FAHP), which allowed for identifying the variant that has the best chance of being implemented in the context of administrative, legal and social realities of the country where an SHP is located. The adopted solution will increase electricity production by 108.78 MWh annually, while reducing carbon dioxide emissions by 86000 kg CO₂. The described methodology is of general use and can be applied in any country in the world.</p></div>","PeriodicalId":23714,"journal":{"name":"Water Resources and Industry","volume":"29 ","pages":"Article 100204"},"PeriodicalIF":5.1,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49731888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}