Article
Environmental Sciences
Bede Ffinian Rowe Davies, Pierre Gernez, Andrea Geraud, Simon Oiry, Philippe Rosa, Maria Laura Zoffoli, Laurent Barille
Summary: Monitoring biodiversity and the impact of human activities is crucial due to anthropogenic climate change. Intertidal areas face high pressures due to increased population density in coastal regions. Remote sensing is being increasingly used to monitor intertidal areas as traditional methods are not cost-effective or timely. However, accurately distinguishing between vegetation classes such as seagrass and green algae using multispectral data has proved challenging, often requiring hyperspectral data.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Environmental Sciences
Subhash Chand, Barbara Bollard
Summary: Seagrass meadows are declining globally, affecting benthic activity and ecosystem degradation. This study tested the use of drone imagery to detect seasonal seagrass variability and quantify macrofauna benthic activity. The results showed high classification accuracy and revealed changes in seagrass-associated macrofauna abundance and distribution. These findings are important for seagrass conservation and ecological research.
Article
Engineering, Environmental
Vishal Singh, Manisha Verma, Mahesh Sanjay Chivate, Vishal Mishra
Summary: Microalgae biomass production can be improved by optimizing cultivation parameters, such as light intensity, CO2 content, and initial inoculum level, using machine learning algorithms. This study used a decision tree model to analyze microalgae-based datasets and predict optimized combinations of variables for high growth rate and biomass production. The results showed that the initial inoculum level and nitrogen/phosphorus ratio in the medium have a significant influence on microalgae growth.
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING
(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, Environmental
Vishal Singh, Vishal Mishra
Summary: The wastewater treatment efficiency and biomass productivity of microalgae in wastewater treatment are influenced by the algal strain and cultivation parameters. This study used decision tree models to analyze the data of Trebouxiophyceae and Chlorophyceae classes, and identified suitable combinations of cultivation parameters to enhance their performance.
Editorial Material
Environmental Sciences
Ying-Nong Chen, Kuo-Chin Fan, Yang-Lang Chang, Toshifumi Moriyama
Summary: Remote sensing is widely used and AI-based models, especially DL models, are utilized to enhance its performance. This paper reviews nine articles in a Special Issue on remote sensing, which mainly focus on DL and satellite data, reflecting the prevailing trends in remote sensing research. The analysis and explanation of DL models have become a hot topic in AI research. While DL methods outperform traditional machine learning methods, they remain a black box, making it difficult to understand the decision-making process. Therefore, it is important to explore explainable DL methods for remote sensing applications.
Article
Environmental Sciences
Sumantra Chatterjee, Ramanitharan Kandiah, Doyle Watts, Subramania Sritharan, John Osterberg
Summary: This study used machine learning approaches and remote sensing data to estimate evapotranspiration in arid regions. The results show that using multiple parameters can improve the accuracy, and random forest and support vector machine with radial kernel consistently produced the best predictive accuracies.
Article
Chemistry, Analytical
Prakriti Sharma, Larry Leigh, Jiyul Chang, Maitiniyazi Maimaitijiang, Melanie Caffe
Summary: This study investigates the potential of using unmanned aerial vehicles (UAV) and machine learning approaches to estimate oat biomass. The results show that vegetation indices derived from UAV images were significantly correlated with dry biomass in some locations. However, there were inconsistencies in accuracy across different locations. Future studies should consider using multi-year spectral data and texture features to improve estimation accuracy.
Article
Environmental Sciences
Zhibin Sun, Wenqi Qian, Qingfeng Huang, Haiyan Lv, Dagui Yu, Qiangxin Ou, Haomiao Lu, Xuehai Tang
Summary: This study estimated the biomass of broad-leaved forests in a nature reserve using machine learning models and remote sensing data. The artificial neural network model showed the highest accuracy and significant temporal variation in biomass was observed from 1998 to 2016. Additionally, correlations were found between biomass change and climate factors.
Article
Environmental Sciences
Ying Suo, Zhongjing Wang, Zixiong Zhang, Steven R. Fassnacht
Summary: In this study, a dew yield estimation model based on remote sensing and the support vector machine learning method was developed and applied to the Heihe River Basin and Northwest China. The results showed that dew is an important part of the water balance in arid areas, and remote sensing can provide better support for future water resource assessment and analysis.
Article
Environmental Sciences
Min Xu, Brian B. Barnes, Chuanmin Hu, Paul R. Carlson, Laura A. Yarbro
Summary: Florida's Big Bend region is experiencing a decline in the extent and integrity of its seagrass bed due to degraded water clarity. To monitor the variability of water clarity, machine learning approaches were developed to derive the diffuse attenuation coefficient at 490 nm from satellite data. A 2-stage ML approach was implemented and outperformed the traditional ML approach, providing valuable information on seagrass growth and distribution in the study region.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Environmental Sciences
Yichao Tian, Hu Huang, Guoqing Zhou, Qiang Zhang, Jin Tao, Yali Zhang, Junliang Lin
Summary: Based on UAV low altitude remote sensing, eight ML models were used to estimate the aboveground biomass of different mangrove species in Beibu Gulf. The XGBoost model had the highest accuracy, with mangrove texture index being the most important variable in the model.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Review
Computer Science, Information Systems
Guangsheng Chen, Hailiang Lu, Weitao Zou, Linhui Li, Mahmoud Emam, Xuebin Chen, Weipeng Jing, Jian Wang, Chao Li
Summary: Remote sensing images have been widely used in Earth observation tasks, but a single sensor cannot provide observational images with both high spatial and temporal resolution. The spatiotemporal fusion (STF) method has been proposed to overcome this constraint. Many STF methods have been proposed based on different principles and strategies. A new review is needed to reflect the current research status. This review provides a comprehensive overview of current advances, discusses the basic principles and limitations, and collects recent applications. It also introduces publicly available resources and quantitative metrics, and discusses open problems and challenges for future attention.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2023)
Article
Environmental Sciences
Ian J. Marang, Patrick Filippi, Tim B. Weaver, Bradley J. Evans, Brett M. Whelan, Thomas F. A. Bishop, Mohammed O. F. Murad, Dhahi Al-Shammari, Guy Roth
Summary: The research utilizes hyperspectral imaging combined with machine learning to accurately assess cotton crop nitrogen status, showing great potential in predicting nitrogen concentration and evaluating different treatment blocks. The study results demonstrate the effectiveness of hyperspectral imaging in predicting crop nitrogen concentration, indicating its significant potential in precision agriculture applications.
Review
Engineering, Environmental
Nina Gnann, Bjorn Baschek, Thomas A. Ternes
Summary: This study focuses on the detection and identification of macroplastic debris in aquatic environments using remote sensing and artificial intelligence techniques. It evaluates the current state-of-the-art research and highlights the challenges and promising results of these approaches compared to traditional visual monitoring methods.
Article
Environmental Sciences
Guillaume Brunier, Simon Oiry, Yves Gruet, Stanislas F. Dubois, Laurent Barille
Summary: In this study, a UAV-based survey was conducted in October on Noirmoutier Island in France to map the distribution of reefs and the colonization of epibionts using topographic indices and multispectral indices. The results provide data support for further research on the health index of intertidal reefs.
Article
Environmental Sciences
Tadesse Mucheye, Sara Haro, Sokratis Papaspyrou, Isabel Caballero
Summary: This study analyzed the seasonal variation of invasive plant species water hyacinth and water quality parameters in Lake Tana, Ethiopia using Sentinel-2 satellite images. The study found that sediment and nutrient influx during the rainy season were the main factors contributing to changes in water quality and the proliferation of water hyacinth.
Editorial Material
Environmental Sciences
A. Bartual, C. Morales-Caselles, G. A. O. Moser, S. Papaspyrou, M. J. Ortega, L. Prieto
FRONTIERS IN MARINE SCIENCE
(2022)
Article
Environmental Sciences
Carlos J. Gonzalez, J. Ramon Torres, Sara Haro, Jesus Gomez-Enri, Oscar alvarez
Summary: This paper presents a mixed methodology for characterizing maximum intertidal areas in intertidal areas, based on multispectral satellite imagery, hydrodynamic modeling, and in situ measurements. The methodology is applied and validated in Cadiz Bay, Spain. The results show that this methodology can accurately characterize intertidal areas and provide a new vertical reference surface for hydrography.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Environmental Sciences
Guillaume Brunier, Simon Oiry, Nicolas Lachaussee, Laurent Barille, Vincent Le Fouest, Vona Meleder
Summary: Remote sensing is a useful method for mapping inaccessible areas, but the classification of certain elements can be challenging. This study presents a new mapping method using unmanned aerial vehicles, RGB, and multispectral surveys, as well as machine learning and geomorphic mapping techniques. The method was successfully applied to map mudflats on the Atlantic coast of France, achieving high classification accuracy and demonstrating its potential for application in other ecosystems.
Article
Ecology
Maria Laura Zoffoli, Pierre Gernez, Simon Oiry, Laurent Godet, Sebastien Dalloyau, Bede Ffinian Rowe Davies, Laurent Barille
Summary: Considering trophic relationships in seagrass meadows is crucial for explaining and predicting their temporal trajectories, as well as implementing conservation policies. In this study, the reciprocal links between an intertidal seagrass species and a herbivorous bird were investigated using Earth Observation and bird census data. The results showed a mutual relationship between seagrass and the bird species, with positive effects on both populations.
REMOTE SENSING IN ECOLOGY AND CONSERVATION
(2023)
Article
Environmental Sciences
Juan Carlos Carrasco Navas-Parejo, Sokratis Paspapyrou, Sara Haro, Isabel Caballero de Frutos, Alfonso Corzo
Summary: Sampling surveys conducted in the Alvarado Lagoon and Puerto Cortes Bay in Honduras showed that both environments were highly eutrophic and served as important sources of nutrients and particulate matter to the coastal zone. Despite some improvement in offshore water quality, concentrations of chlorophyll and nutrients remained higher than those typically found in non-polluted coral reefs in the Caribbean region. Therefore, in situ monitoring and assessment of these aspects are crucial for evaluating the ecological functioning and threats to the Mesoamerican Barrier Reef System (MBRS) and implementing appropriate management policies.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Remote Sensing
Sara Haro, Ricardo Bermejo, Robert Wilkes, Lorraine Bull, Liam Morrison
Summary: This study analyzed the spatiotemporal dynamics of golden seaweed coverage at Dollymount Strand in Dublin Bay, Ireland, and its relationship with meteorological conditions. The results showed a correlation between the seaweed coverage and factors such as temperature and wind direction. These findings are valuable for controlling and managing golden seaweed tides globally and using them as bioindicators in coastal environments.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2023)
Article
Computer Science, Software Engineering
Sara Haro, Jonathan Jimenez-Reina, Ricardo Bermejo, Liam Morrison
Summary: BioIntertidal Mapper is a user-friendly tool that automates the selection and processing of Sentinel-2 imagery to generate intertidal habitat maps. It utilizes Google Earth Engine API and WorldTides API to select low tide imagery within a specified timeframe and calculates the Normalized Difference Vegetation Index for the processed images. The maps are exported to a Google Drive folder. This software provides a simple solution for scientists and environmental managers to map intertidal habitats using freely available satellite imagery.
Article
Water Resources
Eleni Avramidi, Sergio Carlos Garcia Gomez, Sokratis Papaspyrou, Vasilis Louca, Dimitrios Xevgenos, Frithjof C. Kupper
Summary: The study evaluated the ecological conditions near the brine outfalls in the Port of Rotterdam and found that the benthic macrofaunal composition was lower in abundance and diversity compared to the nearby North Sea environment. The outfall area of the Botlek demineralized water plant showed the lowest abundance and diversity, while the outfall area of the Maasvlakte demineralized water plant had higher biodiversity associated with the presence of a large biogenic reef of the Pacific oyster Crassostrea gigas.
WATER RESOURCES AND INDUSTRY
(2022)
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)