Article
Environmental Sciences
Stefano Tebaldini, Marco Manzoni, Dario Tagliaferri, Marco Rizzi, Andrea Virgilio Monti-Guarnieri, Claudio Maria Prati, Umberto Spagnolini, Monica Nicoli, Ivan Russo, Christian Mazzucco
Summary: This paper discusses the possibility of generating high-resolution mapping of urban or extra-urban environments using synthetic aperture radar (SAR) processing applied to data collected by mm-wave automotive radars. The role of SAR imaging in the automotive context is discussed from a theoretical and experimental perspective, including the benefits, technological aspects, and computational cost evaluation.
Article
Environmental Sciences
Salman Tariq, Fazzal Qayyum, Zia Ul-Haq, Usman Mehmood
Summary: In recent years, air quality in the mega-cities of Pakistan, particularly Lahore, has been deteriorating, causing severe impacts on the climate system and human health. This paper assesses the nighttime air quality of Lahore using data from various satellite observations. The study reveals high aerosol concentrations, especially from biomass burning and dust aerosols, and high levels of carbon monoxide and ozone during specific months.
Article
Green & Sustainable Science & Technology
Xuefeng Xu, Jiakui Tang, Na Zhang, Anan Zhang, Wuhua Wang, Qiang Sun
Summary: This study proposes the ARNCI method with transitional categories and successfully calculates the distribution maps of Eurasian temperate grassland types in the 1980s and 1990s. The results show that there are variations in classification accuracy among the three sub-regions, but the overall performance is favorable. The ARNCI method is simple to operate and easy to obtain data, providing a promising tool for monitoring and managing grasslands, and filling the gap in remote sensing classification maps of Eurasian temperate grassland types.
Article
Environmental Sciences
Jie Chen, Xinyi Dai, Ya Guo, Jingru Zhu, Xiaoming Mei, Min Deng, Geng Sun
Summary: A high-quality built environment is crucial for human well-being. This paper proposes an intelligent evaluation method based on high-resolution remote sensing images to assess the urban built environment. The results demonstrate that the deep-learning-driven method is effective for representing high-resolution remote-sensing image scenes and assessing large-scale urban built areas.
Article
Environmental Sciences
Xinran Chen, Xingfa Gu, Yulin Zhan, Dakang Wang, Yazhou Zhang, Faisal Mumtaz, Shuaiyi Shi, Qixin Liu
Summary: Research on the impact of anthropogenic heat discharge in a thermal environment is significant in climate change research. This study investigated the impact of central heating on the thermal environment in Shenyang, Changchun, and Harbin using remote sensing technology. The results showed a significant increase in the equivalent heat island areas at night, which was positively correlated with the central heating supply. These findings provide important insights for future studies on urban thermal environment changes.
Article
Environmental Sciences
Yanfei Zhong, Bowen Yan, Jingjun Yi, Ruiyi Yang, Mengzi Xu, Yu Su, Zhendong Zheng, Liangpei Zhang
Summary: The study proposes the GlobalUrbanNet (GUN) based automatic multi-city mapping and analysis (GAMMA) framework to address the problems in land-use mapping based on very high resolution (VHR) imagery. A large-scale land-use dataset covering six continents is constructed, and an automated land-use mapping method is proposed. The results show that models trained on the GUN dataset have good generalizability globally, and the automated land-use mapping method achieves efficient mapping.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Environmental Sciences
Olivia Addington, Zhao-Cheng Zeng, Thomas Pongetti, Run-Lie Shia, Kevin R. Gurney, Jianming Liang, Geoffrey Roest, Liyin He, Yuk L. Yung, Stanley P. Sander
Summary: This study uses a top-down approach to estimate urban N2O emissions for the Los Angeles megacity based on unique dataset from a mountaintop remote sensing instrument since 2011. The results show a clear seasonal cycle in N2O emissions in the LA basin, with estimated annual emissions roughly three times higher than the official statewide bottom-up inventory for the same time period.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Environmental Sciences
Longzhe Quan, Zhaoxia Lou, Xiaolan Lv, Deng Sun, Fulin Xia, Hailong Li, Wenfeng Sun
Summary: This study demonstrates the negative impact of weeds on maize yield through competition and proposes a multimodal deep learning model to predict weed competitiveness at different stages. The research provides a foundation for scientific farmland weed management.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Review
Environmental Sciences
Li Lin, Liping Di, Chen Zhang, Liying Guo, Yahui Di
Summary: Urban poverty and gentrification are significant challenges faced by cities globally. Poverty is a main contributor to poor health and social conflict, while gentrification, while reducing poverty rates, has negative impacts on original residents.
Article
Engineering, Electrical & Electronic
Wenye Wang, Shenghua Wan, Pengfeng Xiao, Xueliang Zhang
Summary: Urban green space is crucial for the construction of ecological cities and livable environments. However, multitemporal remote sensing images often suffer from data shifting, making it challenging to design a general framework for extracting urban green cover. In this study, we propose a novel method called multi-training that independently trains classifiers on each phase and combines the information to improve consistency in the results.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Engineering, Electrical & Electronic
Jining Yan, Yuanxing Liu, Lizhe Wang, Zhipeng Wang, Xiaohui Huang, Hong Liu
Summary: This study proposes an efficient data organization method for improving retrieval and access efficiencies of large-scale and long time-series remote-sensing data in a cloud-computing environment. It constructs an asymmetrical index model and prepartitioning mechanism to address low retrieval efficiency, and divides remote-sensing images into tiles with consistent hash operations to enhance access efficiency.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)
Article
Environmental Sciences
Francesca Despini, Chiara Ferrari, Giulia Santunione, Stefano Tommasone, Alberto Muscio, Sergio Teggi
Summary: This study used satellite images and solar reflective materials to investigate the Urban Heat Island, showing that multiple UHI mitigation scenarios are feasible with relatively fast return on investment. Furthermore, scenarios involving modification of multiple surfaces simultaneously have shown greater potential from a public administration perspective.
Article
Environmental Sciences
Erin B. Wetherley, Dar A. Roberts, Christina L. Tague, Charles Jones, Dale A. Quattrochi, Joseph P. McFadden
Summary: This study investigates the variability of urban energy flux across different landcover and climate gradients in urbanized Los Angeles County, USA. The research shows that urban climates are significantly impacted by localized parameters, irrigation, and regional climate. Furthermore, schedule-based water conservation policies may reduce the cooling capacity of urban vegetation in the late afternoon, and there is a stronger negative effect of distance from the coast on latent heat flux in interior areas compared to coastal areas.
Article
Computer Science, Information Systems
Yuxiang Yan, Xianwen Yu, Fengyang Long, Yanfeng Dong
Summary: This study evaluated the urban ecological environment of Shanghai using remote sensing technology and a projection pursuit model, showing an improvement in the overall ecological environment in the past five years. Districts like Hongkou, Jingan, and Huangpu have lower ecological quality and need more effort in improvement.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2021)
Article
Geosciences, Multidisciplinary
Cheng Liu, Chengzhi Xing, Qihou Hu, Shanshan Wang, Shaohua Zhao, Meng Gao
Summary: This article reviews the recent advances in hyperspectral remote sensing techniques and discusses the future application prospects in air pollution monitoring. It recommends the use of a multi-means joint hyperspectral stereoscopic remote sensing monitoring mode for effective monitoring and regulation of air pollution.
EARTH-SCIENCE REVIEWS
(2022)
Article
Oceanography
Linlin Lu, Salman Qureshi, Qingting Li, Fang Chen, Lei Shu
Summary: This study developed an approach for monitoring and making projections of urban land use efficiency indicator using remote sensing and scenario modeling. Using Tianjin as a case study, it was found that urban land use changes should be carefully planned in coastal areas to reduce ecological and disaster risks.
OCEAN & COASTAL MANAGEMENT
(2022)
Article
Environmental Sciences
Muhammad Fahad Baqa, Linlin Lu, Fang Chen, Syed Nawaz-ul-Huda, Luyang Pan, Aqil Tariq, Salman Qureshi, Bin Li, Qingting Li
Summary: This study explored the impact of land use/land cover changes on the urban thermal environment in the tropical megacity, Karachi, Pakistan. The results indicated that the increase in built-up areas led to higher land surface temperatures, and different land cover types exhibited varying degrees of heat island effects. The normalized difference built-up index had a significant influence on land surface temperature. Large parks with medium- and high-density vegetation played a crucial role in regulating the thermal environment.
Article
Geography, Physical
Shisong Cao, Yile Cai, Mingyi Du, Qihao Weng, Linlin Lu
Summary: Surface urban heat island (SUHI) has a significant impact on the urban environment and quality of life. This study found that three-dimensional urban morphological parameters (UMPs) have a more decisive influence on SUHI than two-dimensional parameters, especially in summer and under dry climatic conditions. Building height is negatively correlated with surface temperatures, while building volume is positively correlated. The ability of vegetation to regulate SUHI is more effective in dry climates and small cities. Varying climates and city sizes can modify the importance of two-dimensional and three-dimensional UMPs in the urban surface energy balance.
GISCIENCE & REMOTE SENSING
(2022)
Article
Computer Science, Interdisciplinary Applications
Morteza Khazaei, Saeid Hamzeh, Najmeh Neysani Samani, Arnab Muhuri, Kalifa Goita, Qihao Weng
Summary: Nowadays, there is a demand for high spatial resolution near-real-time Surface Soil Moisture (SSM) data. However, existing passive microwave systems can only provide such information at a relatively coarse resolution. To address this issue, we developed a Satellite-based Hydrological Monitoring System (SHMS), which combines different data sources to generate high-resolution SSM maps.
COMPUTERS & GEOSCIENCES
(2023)
Article
Agriculture, Multidisciplinary
Ke Luo, Linlin Lu, Yanhua Xie, Fang Chen, Fang Yin, Qingting Li
Summary: This study used all available Sentinel-2 imagery in 2020 to map major crops in a winter wheat production city in the North China Plain. With the use of feature selection and machine learning classifiers, the research achieved accurate and efficient crop classification and mapping in an agricultural region with complex cropping patterns.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2023)
Article
Green & Sustainable Science & Technology
Wen Song, Shisong Cao, Mingyi Du, Linlin Lu
Summary: This study used remotely sensed data to analyze the spatiotemporal variations in land consumption rate, population growth rate, and the ratio of land consumption rate to population growth rate, and explored their relations with the implementation of sustainable development goals in China. The results showed that the ratio of land consumption rate to population growth rate had more synergies with sustainable development goals compared to the individual perspectives of land consumption rate or population growth rate. The synergies and trade-offs of this ratio were more evident in undeveloped economic zones.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Geosciences, Multidisciplinary
Luyang Pan, Linlin Lu, Peng Fu, Vilas Nitivattananon, Huadong Guo, Qingting Li
Summary: The urbanization process has intensified surface urban heat island effects in the Bangkok Metropolitan Region. In this study, a data fusion algorithm was used to fill cloud-induced data gaps and create high-resolution data by blending Landsat and MODIS remote sensing images. The fused data was then used to retrieve land surface temperature for winter months from 2000 to 2020. Spatial cluster analysis was employed to capture the spatiotemporal variations in surface urban heat island, and gradient analysis and geographically weighted regression were used to analyze the effects of land cover composition on land surface temperature. The results provide valuable information for developing heat mitigation strategies in metropolitan regions.
GEOMATICS NATURAL HAZARDS & RISK
(2023)
Article
Environmental Sciences
Muhammad Majeed, Linlin Lu, Muhammad Mushahid Anwar, Aqil Tariq, Shujing Qin, Mohamed E. El-Hefnawy, Mohamed El-Sharnouby, Qingting Li, Abdulrahman Alasmari
Summary: The aim of this study was to evaluate the flash flood susceptibility of district Jhelum, Punjab, Pakistan using geospatial model and Frequency Ratio and Analytical Hierarchy Process. Eight influential flood-causing parameters were considered, including Digital Elevation Model, slope, distance from the river, drainage density, Land use/Land cover, geology, soil resistivity, and rainfall deviation. According to the study, several areas of the region have been classified into different flood zones based on these parameters. The findings provide guidelines for disaster management authorities, infrastructure planners, and climatologists.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2023)
Article
Multidisciplinary Sciences
Aqil Tariq, Yan Jiango, Qingting Li, Jianwei Gao, Linlin Lu, Walid Soufan, Khalid F. Almutairi, Muhammad Habib-ur-Rahman
Summary: The present study used RS and GIS techniques to monitor the spatio-temporal changes in forest cover from 1990 to 2017. The results showed that forest area decreased from 1990 to 2010 but increased from 2013 to 2017 due to the implementation of the One Billion Tree Project. This study demonstrated the improvement of forest sustainability through concurrent reforestation in barren land areas and the integration of RS and GIS into forestry organization practices in Khyber Pakhtun Khwa (KPK), Pakistan.
Review
Environmental Studies
Seyed Kazem Alavipanah, Mohammad Karimi Firozjaei, Amir Sedighi, Solmaz Fathololoumi, Saeid Zare Naghadehi, Samiraalsadat Saleh, Maryam Naghdizadegan, Zinat Gomeh, Jamal Jokar Arsanjani, Mohsen Makki, Salman Qureshi, Qihao Weng, Dagmar Haase, Biswajeet Pradhan, Asim Biswas, Peter M. Atkinson
Summary: In remote sensing, shadows significantly influence the quality of data and play a crucial role in environmental studies. Different types of shadows have been identified, affecting various properties and outputs in remote sensing processes. Modeling and mitigating the shadow effect pose challenges, but valuable information can still be extracted from shadows.
Article
Geography, Physical
Yang Chen, Qihao Weng, Luliang Tang, Lei Wang, Hanfa Xing, Qinhuo Liu
Summary: Urban green spaces (UGS) are important for understanding urban ecosystems, climate, environment, and public health. Satellite-derived UGS maps are an efficient tool for urban studies and contribute to global sustainable development goals. However, cloud contamination poses challenges for UGS mapping. In this study, an automatic UGS mapping method using satellite images and crowdsourced geospatial data is proposed to reduce uncertainty caused by clouds. Results show a high-quality global UGS map with average overall accuracy of 92.96%, even with cloud coverage ranging from 0% to 50%.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2023)
Article
Construction & Building Technology
Linlin Lu, Peng Fu, Ashraf Dewan, Qingting Li
Summary: The complex interactions between urban characteristics and thermal environments in megacities in tropical regions are yet to be fully understood. This study investigated the relationship between urban characteristics and land surface temperature (LST) in Chennai, Dhaka, and Kolkata. The study found that factors such as normalized difference built-up index, albedo, and normalized difference vegetation index were most influential in determining LST. The study recommended using high-albedo materials for building roofs, roads, and hardscapes to alleviate surface urban heat island effect in Dhaka and Kolkata, and increasing sky view factor in Chennai and Kolkata.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Environmental Sciences
Liying Han, Linlin Lu, Peng Fu, Chao Ren, Meng Cai, Qingting Li
Summary: This study used Landsat 8 satellite data and MODIS products to create time series land surface temperatures for analysis of the seasonal variations in surface urban heat island (SUHI) in Xi'an, China. The results showed that open building types generally have lower land surface temperatures than compact building types. The highest SUHI intensity was observed in compact mid-rise buildings (LCZ2) in July, while the lowest was observed in open high-rise buildings (LCZ4). The SUHI intensity peaked about 17-23 days later than the background land surface temperatures. The annual SUHI hysteresis cycles exhibited an anti-clockwise concave-up pattern in the monsoon-influenced hot-summer humid continental climate (Dwa per Ko center dot ppenGeiger climate scheme). The SUHI intensity in autumn was higher than in spring under the same background land surface temperatures. These findings provide valuable information for developing heat mitigation strategies in different seasons.
Article
Geography, Physical
Qiming Zheng, Karen C. Seto, Yuyu Zhou, Shixue You, Qihao Weng
Summary: Nighttime light (NTL) remote sensing data have been extensively used to understand urbanization. A literature review of 688 papers published between 1992 and 2022 identified the trends and challenges in NTL-based urban applications. Future research directions include understanding scale effects and variations in NTL data, integrating multi-source NTL data with other geospatial data, focusing on the Global South, and developing new urban applications with new NTL data products. Addressing research gaps in these areas will provide new insights into urbanization under different settings.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2023)
Article
Engineering, Electrical & Electronic
Dehui Dong, Dongping Ming, Qihao Weng, Yi Yang, Kun Fang, Lu Xu, Tongyao Du, Yu Zhang, Ran Liu
Summary: This study proposes a framework for extracting structures by combining region-line feature fusion with object-based convolutional neural networks to solve the problem of broken and inaccurate building edges extracted using existing techniques in complex suburban and rural areas.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
Article
Environmental Sciences
Toshimi Nakajima, Mao Kuragano, Makoto Yamada, Ryo Sugimoto
Summary: This study compared the contribution of submarine groundwater discharge (SGD) to river nutrient budgets at nearshore and embayment scales, and found that SGD-derived nutrients become more important at larger spatial scales.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Fan Liu, Lei Zhang, Chongyang Zhang, Ziguang Chen, Jingguang Li
Summary: NO2 emissions from wall-mounted gas stoves used for household heating have become a significant source of indoor pollution in Chinese urban areas. The high indoor concentration of NO2 poses potential health risks to residents. It is urgently necessary to establish relevant regulations and implement emission reduction technologies to reduce NO2 emissions from wall-mounted gas stoves.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Letter
Environmental Sciences
Hans Peter H. Arp, Raoul Wolf, Sarah E. Hale, Sivani Baskaran, Juliane Gluege, Martin Scheringer, Xenia Trier, Ian T. Cousins, Harrie Timmer, Roberta Hofman-Caris, Anna Lennquist, Andre D. Bannink, Gerard J. Stroomberg, Rosa M. A. Sjerps, Rosa Montes, Rosario Rodil, Jose Benito Quintana, Daniel Zahn, Herve Gallard, Tobias Mohr, Ivo Schliebner, Michael Neumann
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Philomina Onyedikachi Peter, Binessi Edouard Ifon, Francois Nkinahamira, Kayode Hassan Lasisi, Jiangwei Li, Anyi Hu, Chang-Ping Yu
Summary: This study investigates the relationship between dissolved organic matter (DOM) and Rare Earth Elements (REEs) in sediments from Yundang Lagoon, China. The results show four distinct fluorescent components, with protein-like substances being the most prevalent. Additionally, the total fluorescence intensity and LREE concentrations exhibit a synchronized increase from Outer to Inner to Songbai Lake core sediments. The findings demonstrate a strong correlation between DOM content and pollution levels.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Surya Gupta, Pasquale Borrelli, Panos Panagos, Christine Alewell
Summary: The objective of this study is to incorporate soil hydraulic properties into the erodibility factor (K) of USLE-type models. By modifying and improving the existing equations for soil texture and permeability, the study successfully included information on saturated hydraulic conductivity (Ksat) into the calculation of K factor. Using the Random Forest machine learning algorithm, two independent K factor maps with different spatial resolutions were generated. The results show that the decrease in K factor values has a positive impact on the modeling of soil erosion rates.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Jesmin Akter, Wendy J. M. Smith, Yawen Liu, Ilho Kim, Stuart L. Simpson, Phong Thai, Asja Korajkic, Warish Ahmed
Summary: The choice of workflow in wastewater surveillance has a significant impact on SARS-CoV-2 concentrations, while having minimal effects on HF183 and no effect on HAdV 40/41 concentrations. Certain components in the workflow can be interchangeable, but factors such as buffer type, chloroform, and homogenization speed can affect the recovery of viruses and bacteria.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Yu Luo, Xueting Yang, Diwei Wang, Hongmei Xu, Hongai Zhang, Shasha Huang, Qiyuan Wang, Ningning Zhang, Junji Cao, Zhenxing Shen
Summary: Atmospheric PM2.5, which can generate reactive oxygen species (ROS), is associated with cardiorespiratory morbidity and mortality. The study found that both the mass concentration of PM2.5 and the DTT activity were higher during the heating season than during the nonheating season. Combustion sources were the primary contributors to DTT activity during the heating season, while secondary formation dominated during the nonheating season. The study also revealed that biomass burning had the highest inherent oxidation potential among all sources investigated.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Erin L. Murphy, Leah R. Gerber, Chelsea M. Rochman, Beth Polidoro
Summary: Plastic pollution has devastating consequences for marine organisms. This study uses a trait-based framework to develop a vulnerability index for marine mammals, seabirds, and sea turtles in Hawai'i. The index ranks 63 study species based on their vulnerability to macroplastic pollution, providing valuable information for species monitoring and management priorities.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Kenji Maurice, Amelia Bourceret, Sami Youssef, Stephane Boivin, Liam Laurent-Webb, Coraline Damasio, Hassan Boukcim, Marc-Andre Selosse, Marc Ducousso
Summary: Growing pressure from climate change and agricultural land use is destabilizing soil microbial community interactions. Little is known about microbial community resistance and adaptation to disturbances, hindering our understanding of recovery latency and implications for ecosystem functioning. This study found that anthropic disturbance and natural disturbance have different effects on the topology and stability of soil microbial networks.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Yunhao Li, Yali Feng, Haoran Li, Yisong Yao, Chenglong Xu, Jinrong Ju, Ruiyu Ma, Haoyu Wang, Shiwei Jiang
Summary: Deep-sea mining poses a serious threat to marine ecosystems and human health by disturbing sediment and transmitting metal ions through the food chain. This study developed a new regenerative adsorption material, OMN@SA, which effectively removes metal ions. The adsorption mechanism and performance of the material for metal ion fixation were investigated.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Antonio Medici, Margherita Lavorgna, Marina Isidori, Chiara Russo, Elena Orlo, Giovanni Luongo, Giovanni Di Fabio, Armando Zarrelli
Summary: Valsartan, a widely used antihypertensive drug, has been detected in high concentrations in surface waters due to its unchanged excretion and incomplete degradation in wastewater treatment plants. This study investigated the degradation of valsartan and identified 14 degradation byproducts. The acute and chronic toxicity of these byproducts were evaluated in key organisms in the freshwater trophic chain.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Jiang Lin, Lianbao Chi, Qing Yuan, Busu Li, Mingbao Feng
Summary: This study investigated the photodegradation behavior and product formation of two representative pharmaceuticals in simulated estuary water. The study found that the formed transformation products of these pharmaceuticals have potential toxicity on marine organisms, including oxidative stress and damage to cellular components.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Hua Fang, Dongdong Jiang, Ye He, Siyi Wu, Yuehong Li, Ziqi Zhang, Haoting Chen, Zixin Zheng, Yan Sun, Wenxiang Wang
Summary: This study revealed that exposure to lower levels of air pollutants led to decreased pregnancy rates, with PM10, NO2, SO2, and CO emerging as the four most prominent pollutants. Individuals aged 35 and above exhibited heightened susceptibility to pollutants.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Ali Shaan Manzoor Ghumman, Rashid Shamsuddin, Amin Abbasi, Mohaira Ahmad, Yoshiaki Yoshida, Abdul Sami, Hamad Almohamadi
Summary: In this study, inverse vulcanized polysulfides (IVP) were synthesized by reacting molten sulfur with 4-vinyl benzyl chloride, and then functionalized using N-methyl D-glucamine (NMDG). The functionalized IVP showed a high mercury adsorption capacity and a machine learning model was developed to predict the amount of mercury removed. Furthermore, the functionalized IVP can be regenerated and reused, providing a sustainable and cost-effective adsorbent.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Rita Bonfiglio, Renata Sisto, Stefano Casciardi, Valeria Palumbo, Maria Paola Scioli, Erica Giacobbi, Francesca Servadei, Gerry Melino, Alessandro Mauriello, Manuel Scimeca
Summary: This study investigated the presence of aluminum in human colon cancer samples and its potential association with biological processes involved in cancer progression. Aluminum was found in tumor areas of 24% of patients and was associated with epithelial to mesenchymal transition (EMT) and cell death. Additional analyses revealed higher tumor mutational burden and mutations in genes related to EMT and apoptosis in aluminum-positive colon cancers. Understanding the molecular mechanisms of aluminum toxicity may improve strategies for the management of colon cancer patients.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
