Review
Environmental Sciences
Adewale S. Bello, Nabil Zouari, Dana A. Da'ana, John N. Hahladakis, Mohammad A. Al-Ghouti
Summary: This study explores the most recent and advanced management methods for handling rejected brine from desalination plants, emphasizing the importance of brine reuse, minimization techniques, and the impact of brine disposal on the environment, society, and economy. Attention is also given to the ecotoxic effect of brine on aquatic ecosystems.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Engineering, Chemical
Yakubu Abdullahi Jarma, Asli Karaoglu, Ozge Tekin, Islam Rashad Ahmed Senan, Alper Baba, Nalan Kabay
Summary: This study explored the application of different pressure-driven membranes to treat spent geothermal water for agricultural irrigation. The integrated NF + RO membrane configuration, especially when pH was adjusted, showed effective removal of boron and compliance with irrigation water quality standards.
Article
Biochemistry & Molecular Biology
Paola Andrea Alvizuri-Tintaya, Esteban Manuel Villena-Martinez, Vanesa G. Lo-Iacono-Ferreira, Juan Ignacio Torregrosa-Lopez, Jaime Lora-Garcia, Paul d'Abzac
Summary: Manganese, as the third most abundant transition metal in the Earth's crust, is released into the environment through mining activities. While it is essential in moderate amounts, excessive manganese can be toxic to aquatic and terrestrial ecosystems. This study focuses on the use of reverse osmosis (RO) for manganese removal, demonstrating that low-pressure operation can effectively remove manganese without decreasing the sustainable removal efficiency. This research has the potential to provide an alternative solution for water contamination issues with economic limitations.
Article
Engineering, Environmental
Caitlin Courtney, Dyllon G. Randall
Summary: Resource recovery from source-separated urine using a hybrid RO-EFC system can concentrate urine and simultaneously crystallize salt and ice, providing a more sustainable alternative to mineral fertilizers. The process can recover up to 77% of urea and 96% of potassium with 95% water removal, resulting in a liquid fertilizer with a composition of 11.5% N and 3.5% K. Additionally, 3.5 kg of Na2SO4 center dot 10H2O can be recovered from 1000 kg of urine. The energy required for the hybrid RO-EFC process is substantially lower than other concentration methods.
Article
Chemistry, Multidisciplinary
Qibo Jia, Yan Li, Yan Liu, Dongping Duan
Summary: The study synthesized a forward osmosis (FO) membrane using silanol and graphene oxide nanosheets through a surface layer-by-layer self-assembly method, achieving high water flux and salt retention capacity by controlling the number and spacing of composite layers.
Review
Environmental Sciences
Suresh Indika, Yuansong Wei, Titus Cooray, Tharindu Ritigala, K. B. S. N. Jinadasa, Sujithra K. Weragoda, Rohan Weerasooriya
Summary: This paper reviews and discusses the current status, challenges, and opportunities of groundwater quality management and improvement in Sri Lanka. Groundwater is the main source of drinking water in Sri Lanka, with different types in different regions. Higher levels of hardness, fluoride, DOC, alkalinity, and salinity are reported in the dry zone due to geology and arid climate. While some regions have significant levels of harmful substances in groundwater, the majority remain within acceptable levels. To achieve safe drinking water supply, Sri Lanka needs to invest in infrastructure and human resources for regular monitoring and assessment of groundwater quality.
Article
Green & Sustainable Science & Technology
Saker Ben Abdallah, Belen Gallego-Elvira, Alberto Imbernon-Mulero, Victoriano Martinez-Alvarez, Jose Maestre-Valero
Summary: This study compared organic and conventional grapefruit production systems using desalinated seawater irrigation, and evaluated two boron removal technologies. The results showed that organic grapefruit production had better environmental performance in all impact categories, and ion exchange resins had a much lower environmental footprint than reverse osmosis. Therefore, the most environmentally friendly grapefruit system irrigated with desalinated seawater was organic production combined with the use of ion exchange resins for boron removal.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2023)
Review
Chemistry, Analytical
Tony R. Walker, Lexi Fequet
Summary: Unsustainable plastic production, use and mismanagement have caused widespread plastic pollution and the accumulation of micro(nano)plastics in the environment, posing a threat to sustainability. Micro(nano)plastic pollution has global ecological impacts and contributes to climate change through greenhouse gas emissions. Despite existing strategies to combat plastic pollution, they are inadequate due to the ongoing increase in plastic production and waste generation. A more comprehensive approach is needed to address the issue and achieve reduction targets.
TRAC-TRENDS IN ANALYTICAL CHEMISTRY
(2023)
Article
Engineering, Environmental
Mamta Bhandari, Sanjeev Kumar Prajapati
Summary: The present study evaluates the use of reverse osmosis reject (ROR) for microalgal biomass production. The results show that ROR from different sources has a synergistic effect on the growth and biochemical composition of Chlorella pyrenoidosa. The study finds that RO reject can be efficiently utilized for lipid-rich microalgal biomass production, reducing the dependence on freshwater resources.
Article
Engineering, Chemical
Sandra Cordoba, Abhimanyu Das, Jorge Leon, Jose M. Garcia, David M. Warsinger
Summary: Energy consumption in reverse osmosis has decreased over the years, but further reduction is needed for wider adoption. The study introduced an enhanced double-acting batch reverse osmosis system utilizing a high-pressure tank with a reciprocating piston, showing potential for energy efficiency and reduced start-up time compared to traditional configurations.
Article
Engineering, Environmental
Andreia B. Santos, Alexandre Giacobbo, Marco Antonio S. Rodrigues, Andrea Moura Bernardes
Summary: In this study, the tertiary effluent from a Petrochemical Complex in Southern Brazil was treated using an integrated system of UF, RO, and EDI to produce industrial water for reuse. The system effectively removed impurities and met the quality requirements for reuse as clarified or demineralized water. The industrial reuse of this water can significantly reduce raw water collection and effluent disposal, thereby reducing the water footprint and increasing the sustainability of the petrochemical industry.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2023)
Article
Environmental Sciences
Qi Wang, Liwei Luo, Nan Huang, Wenlong Wang, Yuzhou Rong, Zhiwei Wang, Yi Yuan, Ao Xu, Jianglei Xiong, Qianyuan Wu, Hongying Hu
Summary: This study evaluated the evolution of low molecular weight organic compounds during UPW production. The findings showed that the pretreatment and make-up stages were the main stages for removing organic carbon, and the UF-RO system was effective in removing organic carbon as well. However, the proportion of halogenated disinfection by-products increased in the RO effluents, and RO could not completely remove certain organic compounds.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Environmental Sciences
Minhaz Farid Ahmed, Mazlin Bin Mokhtar, Nuriah Abd Majid
Summary: This study investigated metal concentrations in the drinking water supply chain in the Langat River Basin in Malaysia. It found that household tap water had higher metal concentrations compared to treated water, but still met the health standards. The distilled filtration system was found to be more effective in removing metal concentrations.
Article
Thermodynamics
Hadrien Jaubert, Philippe Borel, Pierrette Guichardon, Jean-Francois Portha, Jean-Noel Jaubert, Lucie Coniglio
Summary: This study explores the integration of concentrating solar power with an organic Rankine cycle for polygeneration, combining reverse osmosis and low-temperature multi-effect distillation for electricity and drinking water production. Experiments and simulations contribute positively to extending solar polygeneration for desalination and energy production.
APPLIED THERMAL ENGINEERING
(2021)
Article
Biochemistry & Molecular Biology
MhdAmmar Hafiz, Radwan Alfahel, Alaa H. Hawari, Mohammad K. Hassan, Ali Altaee
Summary: Municipal treated wastewater can be used for food crop irrigation, with nanofiltration and a hybrid FO-RO system being more efficient for enhancing water quality to meet irrigation standards.
Article
Geography
Salim Heddam, Sungwon Kim, Ali Danandeh Mehr, Mohammad Zounemat-Kermani, Mariusz Ptak, Ahmed Elbeltagi, Anurag Malik, Yazid Tikhamarine
Summary: This paper demonstrates the superiority of the Bat-ELM model in river water temperature modeling in the Orda River, Poland. The results show that the Bat-ELM accurately predicts the temperature and outperforms other models in this aspect.
GEOGRAPHICAL JOURNAL
(2023)
Article
Environmental Sciences
Abhinanda Roy, K. S. Kasiviswanathan, Sandhya Patidar, Adebayo J. J. Adeloye, Bankaru-Swamy Soundharajan, Chandra Shekhar P. Ojha
Summary: Occurrences of extreme events, especially floods, have become more frequent and severe due to climate change. Generating accurate streamflow forecasts at higher lead times is important for developing a reliable flood warning system. This paper proposes a hybrid modeling framework that combines the random forest algorithm, particle filter, and the HBV model to improve the accuracy of forecasts at higher lead times. The framework simulates an ensemble of streamflow and is applied to two snow-fed Himalayan rivers. The modeling framework achieves good performance in forecasting streamflow at a higher lead time.
WATER RESOURCES RESEARCH
(2023)
Article
Environmental Sciences
Ruqayah Mohammed, Miklas Scholz
Summary: This study aims to evaluate the quality and homogeneity level of precipitation time series in arid and semi-arid climatic zones and specify the breakpoint in the datasets. The methodology used involved four homogeneity tests to adjust the non-normally distributed datasets. Approximately 40% of the series were found to be homogeneous, while 21 stations were classified as 'suspect', 3 stations as 'doubtful', and 16 stations as 'useful'. The study recommends further research on homogeneity tests for similar case studies.
Article
Multidisciplinary Sciences
Saeed Sharafi, Mehdi Mohammadi Ghaleni, Miklas Scholz
Summary: Accurate prediction of reference evapotranspiration (ETref) is crucial for effective water resource management. The temperature-based Baier and Robertson (BARO), radiation-based Jensen and Haise (JEHA), and mass transfer-based Penman (PENM) equations are the best empirical models for determining ETref. Two machine learning (ML) models, least squares support vector regression (LSSVR) and ANFIS optimized using the particle swarm optimization algorithm (ANFPSO), were applied to daily ETref data from 100 synoptic stations in different climates of Iran. The combination-based ML models (LSSVR4 and ANFPSO4) showed the lowest error and the best correlation, while the temperature-based empirical relationships had higher precision compared to the radiation and mass transfer-based equations.
Article
Water Resources
Faezeh Gorgan-Mohammadi, Taher Rajaee, Mohammad Zounemat-Kermani
Summary: This study demonstrates the feasibility of using decision tree methods to predict and classify dissolved oxygen and phosphorus parameters in Lake Erie, achieving high accuracy in a short time.
SUSTAINABLE WATER RESOURCES MANAGEMENT
(2023)
Article
Environmental Sciences
Ozgur Kisi, Kulwinder Singh Parmar, Amin Mahdavi-Meymand, Rana Muhammad Adnan, Shamsuddin Shahid, Mohammad Zounemat-Kermani
Summary: This study investigated the potential of four different neuro-fuzzy embedded meta-heuristic algorithms (particle swarm optimization, genetic algorithm, harmony search, and teaching-learning-based optimization algorithm) in estimating the water quality of the Yamuna River in Delhi, India. The performance of hybrid neuro-fuzzy models in predicting COD was compared with classical neuro-fuzzy and LSSVM methods, with higher accuracy achieved when certain water quality parameters were used as inputs. The results demonstrated that the neuro-fuzzy models optimized with harmony search provided the best accuracy, while the particle swarm optimization and teaching-learning-based optimization showed the highest computational speed.
Review
Environmental Sciences
Khalid B. Almheiri, Rabee Rustum, Grant Wright, Adebayo J. Adeloye
Summary: The paper highlights the importance of hydrological research in the UAE and addresses the existing challenges. Through a comprehensive literature review, it reveals the decline in rainfall, increasing urban floods, consequences of cloud seeding, and decreasing groundwater resources. The study recommends filling the research gaps and implementing a national policy to tackle the growing water demand.
Article
Environmental Sciences
Hekmat Ibrahim, Zaher Mundher Yaseen, Miklas Scholz, Mumtaz Ali, Mohamed Gad, Salah Elsayed, Mosaad Khadr, Hend Hussein, Hazem H. Ibrahim, Mohamed Hamdy Eid, Attila Kovacs, Szucs Peter, Moataz M. Khalifa
Summary: This study assessed the groundwater quality for agricultural land in El Kharga Oasis, Egypt using irrigation water quality indices and geographic information systems. Two machine learning models were developed for the prediction of the indices, and they showed promising accuracy in simulating the irrigation water quality. The findings highlight the potential of machine learning methods in assessing groundwater quality for irrigation.
Review
Computer Science, Interdisciplinary Applications
Amin Mahdavi-Meymand, Wojciech Sulisz, Mohammad Zounemat-Kermani
Summary: It has been claimed that the combination of meta-heuristic algorithms (MHAs) with base learners can improve the accuracy of hydrological machine learning (ML) models. However, a drawback of this approach is the high computing cost. Among the investigated MHAs, genetic algorithm (GA) is widely used but particle swarm optimization algorithm produces more accurate results and is recommended for hydrological applications.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
(2023)
Article
Agriculture, Multidisciplinary
Atefeh Moghbeli, Mohammad Bagher Rahnama, Nasrin Sayari, Mohammad Zounemat-Kermani
Summary: This study investigates the flow pattern performance in circular fish farming ponds using computational fluid dynamics modeling. It finds that the inflow angle and momentum force significantly affect the formation of vortices and the efficiency of ponds. The results suggest installing inlet nozzles tangentially to the pond wall and adjusting inflow with the minimum momentum force to improve the hydrodynamic performance of rotational flow.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2023)
Article
Engineering, Civil
Mohammad Ranjbar Kabootarkhani, Soudabeh Golestani Kermani, Ammar Aldallal, Mohammad Zounemat-Kermani
Summary: Accurate flood prediction and forecasting are major challenges in hydrology and water resources management. This study aimed to forecast and estimate the daily flows of three rivers in Iran using different data-mining methods and models and compared their accuracy. The results showed that tree-based data-mining methods provided the most precise forecasts.
PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-WATER MANAGEMENT
(2023)
Article
Environmental Sciences
Saad Sh. Sammen, Ozgur Kisi, Ahmed Mohammed Sami Al-Janabi, Ahmed Elbeltagi, Mohammad Zounemat-Kermani
Summary: In this study, various regression-based machine learning techniques were used to model daily reference evapotranspiration in a semi-arid region of Iraq. The evaluation of different input combinations of climatic parameters showed that the random forest method, particularly with Tmax, Tmin, Tmean, and SR inputs, yielded the most accurate estimation of daily ET0. On the other hand, the support vector machine method had the lowest accuracy. This research is significant for water users, developers, and decision makers in water resource planning and management.
Article
Green & Sustainable Science & Technology
Shishant Gupta, Chandra Shekhar Prasad Ojha, Vijay P. Singh, Adebayo J. Adeloye, Sanjay K. Jain
Summary: This study estimated soil loss in the Sutlej catchment using remote sensing and GIS techniques combined with the Revised Universal Soil Loss Equation (RUSLE) and prioritized areas for action. The research concluded that extensive control treatment is necessary for soil and water conservation.
Article
Geochemistry & Geophysics
Marwan Kheimi, Mohammad Almadani, Mohammad Zounemat-Kermani
Summary: Forecasting daily river flows for intermittent and ephemeral rivers was conducted using stochastic and machine learning techniques. The deep learning models (LSTM, CNN-GRU, and stacked-LSTM) showed higher accuracy in predicting river flow for the ephemeral river. The CNN-GRU model outperformed other models in terms of river flow forecasting.
