Article
Polymer Science
Lamine Aoudjit, Hugo Salazar, Djamila Zioui, Aicha Sebti, Pedro Manuel Martins, Senentxu Lanceros-Mendez
Summary: This study synthesized round-shaped Ag@TiO2 nanocomposites with a diameter of approximately 21 nm and a bandgap energy of 2.8 eV, which demonstrated good photocatalytic activity against metronidazole (MNZ) under solar radiation. The application of an adaptive neuro-fuzzy inference system (ANFIS) successfully predicted the effect of various parameters on the photocatalytic performance of the composite membrane, showing that the 10% Ag@TiO2/PVDF-HFP composite membrane achieved 100% removal efficiency for MNZ after 5 hours of solar radiation exposure.
Review
Chemistry, Multidisciplinary
Muhammad Ahmad Mudassir, Hafiz Zohaib Aslam, Tariq Mahmood Ansari, Haifei Zhang, Irshad Hussain
Summary: Emulsion templating is at the forefront of producing a variety of porous materials with interconnected porous structure and high diffusion rates. It offers advantages such as easy preparation, flexible pore-size tuning, good physicochemical stability, and has shown significant progress in environmental applications including pollutant removal, monitoring, and sensing.
Article
Engineering, Chemical
M. B. de Farias, M. G. C. Silva, M. G. A. Vieira
Summary: This study investigated the adsorption of BPA onto commercial organophilic clay named Spectrogel (R) as a means of water remediation. The optimal conditions and adsorption behavior models were determined through statistical analysis and experiments. The study showed that the Spectrogel (R) clay has great potential as an alternative adsorbent for water contaminated with BPA.
Article
Green & Sustainable Science & Technology
Ke Yan, Fei Zhao, Lijia Pan, Yongchang Jiang, Yi Shi, Guihua Yu
Summary: Crude oil spills pose a serious threat to the environment, especially when dealing with highly viscous oil. Researchers have developed a gel-coated superhydrophobic and oleophilic mesh filter, coupled with an induction-heating strategy, for efficient clean-up of highly viscous oil spills.
NATURE SUSTAINABILITY
(2023)
Article
Computer Science, Artificial Intelligence
Wei Zhu, Hima Nikafshan Rad, Mahdi Hasanipanah
Summary: This study introduces a new hybrid model that combines CRANFIS and PSO to predict ground vibration, which outperforms other methods in prediction accuracy.
APPLIED SOFT COMPUTING
(2021)
Review
Polymer Science
Alejandra Romero-Montero, Jose Luis Valencia-Bermudez, Samuel A. Rosas-Melendez, Israel Nunez-Tapia, Maria Cristina Pina-Barba, Gerardo Leyva-Gomez, Maria Luisa Del Prado-Audelo
Summary: The increment in water pollution due to industrial development is a global concern. Aerogels, specifically polymer-based aerogels, show promising potential in water remediation due to their high porosity and adsorption capacity. Natural biopolymeric aerogels, such as cellulose, chitosan, and alginate, have been proven effective in removing pollutants like dyes, oil, and pharmaceuticals from water.
Article
Chemistry, Multidisciplinary
Sebastiano Mantovani, Sara Khaliha, Laura Favaretto, Cristian Bettini, Antonio Bianchi, Alessandro Kovtun, Massimo Zambianchi, Massimo Gazzano, Barbara Casentini, Vincenzo Palermo, Manuela Melucci
Summary: The study demonstrates that microwave accelerated synthesis combined with microfiltration enables fast and scalable preparation of highly pure modified graphene oxide nanosheets, which could be used for simultaneous removal of arsenic and lead from water.
CHEMICAL COMMUNICATIONS
(2021)
Article
Environmental Sciences
Kuan-Ting Lee, Yi-Tse Shih, Saravanan Rajendran, Young -Kwon Park, Wei-Hsin Chen
Summary: This study aims to maximize lipids retained in thermally degraded spent coffee grounds (SCGs) to upgrade their fuel quality. Torrefaction can retain 11-15 wt% lipids from SCG, with lipid content decreasing at temperatures above 300 degrees C. The produced biochar, with a high lipid content, can act as an oil adsorbent and potential solid fuel.
ENVIRONMENTAL POLLUTION
(2023)
Article
Environmental Sciences
Mohammad Hossein Ahmadi Azqhandi, Maryam Foroughi, Zahra Gholami
Summary: In this study, a novel nanocomposite was developed for the efficient removal of antibiotic pollutants from water bodies. The engineered nanocomposite showed excellent adsorption performance and the modeling approaches accurately predicted the removal efficiency. The nanocomposite can be reused multiple times and easily separated due to its magnetic properties.
ENVIRONMENTAL RESEARCH
(2022)
Article
Environmental Sciences
Junyuan Guo, Xiaoying Wen
Summary: The biosurfactant extracted from swine wastewater significantly increased the water solubility of BaP, promoting its biodegradation in contaminated water and soil. The biosurfactant exhibited a high pH stability and salt stability, effectively enhancing the degradation of BaP.
ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY
(2021)
Article
Engineering, Chemical
Asiyeh Kheradmand, Mehrdad Negarestani, Sima Kazemi, Hadi Shayesteh, Shahrzad Javanshir, Hossein Ghiasinejad, Edris Jamshidi
Summary: In this study, a magnetic core-shell rhamnolipid (MCSR) intercalated cobalt/aluminum layered double hydroxide (LDH) was used for water remediation and rifampin (RIF) removal. The biosurfactants, including rhamnolipid (RL), demonstrated low toxicity and environmental compatibility, and promoted the removal efficiency of the adsorbent. The adsorption process was optimized by considering factors such as pH, initial RIF concentration, contact time, and adsorbent dosage. The RIF removal efficiency was found to be 96%, with a maximum adsorption capacity of 221.30 mg/g. The magnetic property of MCSR-LDH allowed for easy recovery and regeneration of the adsorbent.
SEPARATION AND PURIFICATION TECHNOLOGY
(2023)
Article
Environmental Sciences
Joao Marcos de Lima-Faria, Victoria Costa da Silva, Lee Chen Chen, Diego Sefani Teodoro Martinez, Simone Maria Teixeira de Saboia-Morais
Summary: The cellular and tissue behavior of fishes in response to Iron oxide nanoparticles (IONPs) and their associations with agrochemicals were evaluated. The results showed that the accumulation of iron was greater in the IONP treatment group and the mixtures with GBHs. Tissue integrity assessments demonstrated an intense accumulation of lipids, formation of necrotic zones and leukocyte infiltrates in all the treated groups, with a greater quantity of lipids in the IONP + GLY and IFe groups. The damage caused to animal livers by IONP mixtures is reversible, providing promising results for safe environmental remediation practices using nanoparticles.
Article
Engineering, Environmental
Khadega A. Al-Maqdi, Nada Elmerhi, Ahmed Alzamly, Iltaf Shah, Syed Salman Ashraf
Summary: The increase in global population has led to a rapid increase in pollution problems worldwide. One of these problems is the presence of emerging pollutants, which are human-made organic compounds found in various water bodies. To address this issue, researchers have developed hybrid nanoflowers embedded with laccase enzymes, which have shown high efficiency in degrading a range of emerging pollutants. The immobilization of laccase on hybrid nanoflowers has the potential for multiple degradation cycles and could be used in the scaling up of remediation processes.
JOURNAL OF WATER PROCESS ENGINEERING
(2023)
Article
Engineering, Civil
Sami Ghordoyee Milan, Abbas Roozbahani, Naser Arya Azar, Saman Javadi
Summary: The study developed a predictive model based on machine learning, and combining ANFIS with HHO significantly improved the prediction accuracy of groundwater extraction amount. The results indicated that ANFIS-HHO performed well on test data and had better predictive accuracy compared to other algorithms.
JOURNAL OF HYDROLOGY
(2021)
Article
Chemistry, Multidisciplinary
Yun Ma, Mingzhu Yao, Lu Liu, Chengrong Qin, Baicheng Qin, Ningkang Deng, Chen Liang, Shuangquan Yao
Summary: In this study, the separation of oil components from oily sludge using sodium lignosulfonate treatment was investigated. The optimal conditions for oil removal were determined, and the physicochemical properties of the oily sludge were analyzed. The results showed that sodium lignosulfonate treatment could effectively remove a wider range of petroleum hydrocarbons, providing a new method for the green and efficient separation of oily sludge.
Article
Computer Science, Interdisciplinary Applications
Hone-Jay Chu, Muhammad Zeeshan Ali, Thomas J. Burbey
Summary: This study estimated high spatio-temporal resolution land subsidence through data fusion, revealing that subsidence hotspots vary with time and space, aiding in explaining the spatio-temporal variability of the subsidence pattern.
ENVIRONMENTAL MODELLING & SOFTWARE
(2021)
Article
Environmental Sciences
Muhammad Zeeshan Ali, Hone-Jay Chu, Yi-Chin Chen, Saleem Ullah
Summary: This study developed landslide susceptibility maps using machine learning for earthquake and typhoon-triggered landslides in Pakistan and Taiwan, comparing traditional (logistic regression) and modern techniques (decision tree). Results showed that the spatial pattern of susceptibility map from logistic regression is continuously distributed, while that from the decision tree is crisp and sharp.
ENVIRONMENTAL EARTH SCIENCES
(2021)
Article
Computer Science, Interdisciplinary Applications
Muhammad Zeeshan Ali, Hone-Jay Chu, Tatas, Thomas J. Burbey
Summary: This study utilized GPS data to estimate monthly groundwater levels in westcentral Taiwan for 2016-17, showing that time-dependent spatial regression provides more accurate estimation of groundwater level changes. The high correlation between observed and estimated groundwater levels indicates that GPS estimated deformations are a viable alternative for estimating seasonal groundwater changes, especially in areas with limited groundwater monitoring stations.
ENVIRONMENTAL MODELLING & SOFTWARE
(2021)
Article
Environmental Sciences
Hone-Jay Chu, Regita Faridatunisa Wijayanti, Lalu Muhamad Jaelani, Hui-Ping Tsai
Summary: This study improved drought monitoring in Java, Indonesia using satellite precipitation data by establishing a standardized precipitation index and conducting spatial downscaling for higher accuracy. Spatial downscaling was found to be more suitable for heterogeneous SPI, especially during transitional periods, leading to more accurate results.
Article
Green & Sustainable Science & Technology
Hone-Jay Chu, Yu-Chen He, Wachidatin Nisa'ul Chusnah, Lalu Muhamad Jaelani, Chih-Hua Chang
Summary: The local model of water quality mapping can effectively estimate water quality parameters in multiple reservoirs, especially performing better in high-variance Chla concentration waters.
Article
Engineering, Civil
Tatas, Hone-Jay Chu, Thomas J. Burbey
Summary: This study aims to estimate next-month's groundwater levels using real-world data, and the results indicate different responses of groundwater levels to reduced pumping in different regions within the alluvial fan.
JOURNAL OF HYDROLOGY
(2022)
Article
Environmental Sciences
Muhammad Zeeshan Ali, Hone-Jay Chu, Tatas, Thomas J. Burbey
Summary: Understanding the extent and quantity of groundwater drawdown is crucial for water management strategies. This study demonstrates the potential of using a data-driven model and InSAR-derived land deformation data for spatial estimation of groundwater drawdown, showcasing the possibility of satellite-based groundwater drawdown map prediction.
WATER AND ENVIRONMENT JOURNAL
(2022)
Article
Water Resources
Tatas, Hone-Jay Chu, Thomas J. Burbey, Cheng-Wei Lin
Summary: Excessive land subsidence is occurring in the Choushui alluvial fan, Taiwan, due to unmonitored groundwater pumping. Estimating pumping volumes based on electricity consumption alone cannot accurately estimate the spatial rate and distribution of subsidence. Time-dependent spatial regression provides a reliable tool for estimating the spatial distribution of annual subsidence based on mapping pumped groundwater volumes and monitored land subsidence.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2023)
Article
Environmental Sciences
Khushbakht Rehman, Nadeem Fareed, Hone-Jay Chu
Summary: Satellites are frequently launched to monitor Earth's surface processes, such as the Landsat legacy which has thrived for 50 years. However, there are fewer satellites specifically launched to address pressing scientific questions, like ICESat-2 which studies polar icecaps and their response to climate change. This study introduces the use of ICESat-2 in aeolian sand dune studies and shows that it provides high-resolution topographic details with significant improvements to existing methods.
Article
Green & Sustainable Science & Technology
Wachidatin Nisaul Chusnah, Hone-Jay Chu, Tatas, Lalu Muhamad Jaelani
Summary: Chlorophyll-a concentration is commonly used to evaluate the trophic level and water quality of lakes. This research developed a high spatiotemporal-resolution model for estimating chlorophyll-a in inland water. Machine learning models using Sentinel-2 Multispectral Instrument and Sentinel-3 Ocean and Land Color Instrument (OLCI) images were applied, and a spatiotemporal fusion technique was used to improve the spatial resolution. Results showed that the spatiotemporal fusion model effectively estimated high-resolution chlorophyll-a concentration in the Tsengwen Reservoir.
SUSTAINABLE ENVIRONMENT RESEARCH
(2023)
Article
Engineering, Marine
Adillah Alfatinah, Hone-Jay Chu, Sumriti Ranjan Tatas, Sumriti Ranjan Patra
Summary: This study used Chlorophyll-a, sea surface temperature (SST), and sea surface height (SSH) as environmental variables to identify hotspots for skipjack tuna catch. Ensemble models, including decision tree (DT) and generalized linear model (GLM), were employed to predict skipjack areas for each time slice. The study concluded that DT performs better than GLM in predicting skipjack tuna fishing areas and found that sea surface temperature (SST) was the most influential environmental variable in model construction.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Environmental Sciences
Hone-Jay Chu, Yu-Chen He
Summary: In this study, a satellite-based sparse representation optimization model is developed to estimate water quality maps under noisy environment by simultaneously determining important spectral features. The blue-green ratio is identified as an important feature for estimating chlorophyll-a concentration, and the NIR-red algorithm performs better in retrieving Chl-a in high concentration cases. By using main spectral features and constrained by observations, the Chl-a map can be estimated, allowing the assessment of spatial distribution of water quality. This study provides reliable and interpretable information for policymakers to implement effective water quality management practices.
REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT
(2023)
Article
Green & Sustainable Science & Technology
Muhammad Zeeshan Ali, Hone-Jay Chu, Tatas
Summary: Groundwater depletion occurs when extraction exceeds recharge, affecting water resource management worldwide, especially in developing countries. In India, groundwater level observations are mainly seasonal, with data available in January, May, August, and November. This study utilizes the Gravity Recovery and Climate Experiment (GRACE) data to estimate monthly variations in groundwater storage (GWS) and develop spatial maps of groundwater levels. The accuracy of the estimated levels is validated against observations, and the results will help identify hotspots of depletion and mitigate the adverse effects of excessive extraction.
Proceedings Paper
Remote Sensing
Chia-Hsiang Lin, Man-Chun Chu, Hone-Jay Chu
Summary: Efficient and accurate mangrove area mapping is crucial for protecting valuable mangrove ecosystems. The proposed method, MSMCA, combines convex optimization and deep learning to achieve state-of-the-art classification performance.
2022 12TH WORKSHOP ON HYPERSPECTRAL IMAGING AND SIGNAL PROCESSING: EVOLUTION IN REMOTE SENSING (WHISPERS)
(2022)
Article
Environmental Sciences
Wachidatin Nisaul Chusnah, Hone-Jay Chu
Summary: This study proposed a band ratio algorithm using machine learning to estimate chlorophyll-a concentration in inland waters. The NIR-red band ratios were strongly correlated with chlorophyll-a concentration and proved to be appropriate inputs for the machine learning model. The random forest model using the three-band NIR-red and blue-green band ratios provided robust and reliable estimation of chlorophyll-a concentration.
REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT
(2022)
