Article
Environmental Sciences
Jing Qian, Hongbo Liu, Li Qian, Jonas Bauer, Xiaobai Xue, Gongliang Yu, Qiang He, Qi Zhou, Yonghong Bi, Stefan Norra
Summary: Accurate monitoring and assessment of the environmental state is crucial for improved action. This study developed an integrated framework using remote sensing technology, cruise monitoring technology, and deep learning to achieve robust performance in environmental monitoring and assessment. The deep neural network showed better performance compared to traditional machine learning methods, and water quality assessment was achieved using improved deep embedding clustering.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2022)
Article
Biodiversity Conservation
Jiang Qun'ou, Xu Lidan, Sun Siyang, Wang Meilin, Xiao Huijie
Summary: Real-time monitoring of water pollution level is crucial for protecting water quality in reservoirs. This study compared twelve machine learning algorithms to construct a more accurate total nitrogen concentration retrieval model based on UAV hyperspectral data, with Extra Trees Regression proving to be the best option. Spatial distribution of total nitrogen concentration showed variations, while the water quality in the Miyun reservoir was found to be relatively stable.
ECOLOGICAL INDICATORS
(2021)
Review
Environmental Sciences
Farzane Mohseni, Fatemeh Saba, S. Mohammad Mirmazloumi, Meisam Amani, Mehdi Mokhtarzade, Sadegh Jamali, Sahel Mahdavi
Summary: This paper reviews the application of remote sensing techniques in ocean water quality (OWQ) monitoring, introducing common OWQ parameters and monitoring techniques. The study finds that chlorophyll-a and colored dissolved organic matter are the dominant parameters for OWQ monitoring, and data from optical and passive microwave sensors are effective in estimating OWQ parameters.
MARINE ENVIRONMENTAL RESEARCH
(2022)
Article
Environmental Sciences
Trinh Thi Tham, Trinh Le Hung, Trinh Thi Thuy, Vu Thi Mai, Le Thi Trinh, Chu Vu Hai, Tu Binh Minh
Summary: The Red River is the largest river in northern Vietnam, serving as the main water source for the Red River Delta region. However, due to urbanization and industrialization, surface water in the region has been contaminated by various anthropogenic sources. A regression model was built using reflectance values of visible and near-infrared bands and in situ data for water quality assessment, focusing on parameters like total suspended solids and turbidity, offering valuable insights for monitoring and management of water quality in the Red River Delta.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Environmental Sciences
Zhi Qiao, Siyang Sun, Qun'ou Jiang, Ling Xiao, Yunqi Wang, Haiming Yan
Summary: This study utilized various machine learning algorithms to construct a total phosphorus concentration detection model, which was applied to evaluate the water quality of Miyun Reservoir. The results showed that the model built by the ETR algorithm had the best accuracy, providing significant scientific references for understanding the water quality status and spatial-temporal variations in the reservoir.
Article
Environmental Sciences
Xiao Sun, Yunlin Zhang, Kun Shi, Yibo Zhang, Na Li, Weijia Wang, Xin Huang, Boqiang Qin
Summary: Proximal remote sensing combined with machine learning algorithms showed great potential in monitoring water quality in inland waters with high accuracy. Developed and validated models led to effective and continuous monitoring of various water bodies.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Biodiversity Conservation
C. E. Binding, L. Pizzolato, C. Zeng
Summary: Early detection and comprehensive monitoring of inland water algal blooms are crucial for effective management and mitigation of potential impacts. Satellite Earth Observation technology has greatly enhanced algal bloom monitoring capabilities. Studies on three Canadian lakes have shown widespread blooms with varying intensity and duration, emphasizing the importance of utilizing multiple bloom indices for accurate assessment.
ECOLOGICAL INDICATORS
(2021)
Article
Chemistry, Multidisciplinary
Mehreen Ahmed, Rafia Mumtaz, Zahid Anwar
Summary: Water quality deterioration is a serious problem in urbanization, and the current water quality index method has limitations. Therefore, an enhanced water quality index method based on machine learning is developed to address this issue. The method includes five steps: parameter selection, sub-index calculation, weight assignment, sub-index aggregation, and classification. Experimental results demonstrate that the proposed method effectively eliminates the uncertainties in the traditional indexing and achieves high accuracy in classifying different parameters.
APPLIED SCIENCES-BASEL
(2022)
Article
Engineering, Environmental
Katherine Cook, Jessica E. Beyer, Xiangming Xiao, David Hambright
Summary: This study aimed to establish a regional multispectral reflectance model for rapid and remote detection of cyanobacterial harmful algal blooms (cyanoHABs) in small- to medium-sized reservoirs in Oklahoma. The ground-based remote sensing model outperformed the satellite-based model in detecting cyanoHABs, providing a valuable tool for water management and public health.
Article
Computer Science, Interdisciplinary Applications
Pritam Das, Faisal Hossain, Shahzaib Khan, Nishan Kumar Biswas, Hyongki Lee, Thanapon Piman, Chinaporn Meechaiya, Uttam Ghimire, Kamal Hosen
Summary: This study demonstrates the application of the improved Reservoir Assessment Tool (RAT) framework in monitoring reservoir operations using hydrological modeling and satellite observations, with the Mekong River Basin as an example. Through the development of a novel multi-sensor reservoir area mapping technique and testing the skill of radar altimeters, accurate quantification of reservoir operations and consistent improvements compared to the original framework were achieved. Additionally, the framework was further enhanced by adding the functionality of visualizing forecasted outflow.
ENVIRONMENTAL MODELLING & SOFTWARE
(2022)
Article
Biodiversity Conservation
Peng Chen, Biao Wang, Yanlan Wu, Qijun Wang, Zuoji Huang, Chunlin Wang
Summary: This study proposed a multi-source remote sensing water quality inversion method based on a small number of samples, which solved the problem of scale inconsistency among multi-source remote sensing data and achieved large-scale and efficient inversion of urban river water quality.
ECOLOGICAL INDICATORS
(2023)
Review
Environmental Sciences
Rabia Munsaf Khan, Bahram Salehi, Masoud Mahdianpari, Fariba Mohammadimanesh, Giorgos Mountrakis, Lindi J. Quackenbush
Summary: This study analyzed a large number of journal articles to explore spatiotemporal trends in harmful algal bloom (HAB) monitoring, identified research gaps and future directions, and suggested the need for standardized reporting methods and potential technological advancements and data fusion for HAB detection and monitoring.
Article
Engineering, Civil
Mahdi Sedighkia, Asghar Abdoli
Summary: This study proposes and evaluates an integrated framework that combines water quality distribution modeling and reservoir operation optimization to improve environmental management of the reservoir. By utilizing remote sensing data processing and machine learning models, the water quality distribution in the reservoir can be simulated and applied to optimize reservoir operations.
JOURNAL OF HYDROLOGY
(2022)
Article
Engineering, Civil
Muhittin Karaman
Summary: This study uses satellite images to monitor the temporal surface water dynamics and volume fluctuations of Kemer Dam in Turkey, and integrates in-situ and remote sensing data to generate underwater topography. The Pyramidal Frustum method proves to be simple and accurate, making it a useful tool for similar studies. Additionally, PlanetScope imagery contributes significantly to hydrological studies.
JOURNAL OF HYDROLOGY
(2022)
Article
Environmental Sciences
Yiming Wang, Di Long, Xingdong Li
Summary: The Lancang-Mekong River is an important transboundary river in Southeast Asia. Monitoring changes in reservoir water storage and quantifying the impact of reservoir operation is crucial. This study used multisource remote sensing to generate weekly water levels and water storages of nine largest reservoirs on the main stem of the river. The results demonstrate the great potential of multisource remote sensing for high-temporal-resolution monitoring of reservoir water levels and water storage.
REMOTE SENSING OF ENVIRONMENT
(2023)
Review
Environmental Sciences
Attila Csaba Kondor, Anna Viktoria Vancsik, Laszlo Bauer, Lili Szabo, Zoltan Szalai, Gergely Jakab, Gabor Maasz, Marta Pedrosa, Maria Jose Sampaio, Ana Rita Lado Ribeiro
Summary: This review provides a critical overview of research on the removal efficiency of priority substances and compounds of emerging concern through bank filtration, discussing influencing factors and future challenges. The findings show that the efficiency of bank filtration is influenced by multiple factors and varies for different substances.
ENVIRONMENTAL POLLUTION
(2024)
Article
Environmental Sciences
Xinyan Wang, Shuai Zhang, Huihui Yan, Zhao Ma, Yunshan Zhang, Haining Luo, Xueli Yang
Summary: This study investigated the association between ambient PM2.5, O3 pollution, and ovarian reserve in reproductive-aged Chinese women. The results showed that increased exposure to PM2.5 and O3 was associated with decreased AMH levels, indicating reduced ovarian reserve. Notably, the effects of O3 exposure on ovarian reserve were different from those of PM2.5 exposure.
ENVIRONMENTAL POLLUTION
(2024)
Article
Environmental Sciences
Tingting Ma, Yanjuan Ding, Fengjiao Xu, Chen Zhang, Min Zhou, Ya Tang, Yanrong Chen, Yating Wen, Rufei Chen, Bin Tang, Shigui Wang
Summary: The dragonfly species Orthetrum albistylum can accumulate heavy metals, and its heat shock protein genes have the potential to serve as biomarkers for monitoring environmental pollutants.
ENVIRONMENTAL POLLUTION
(2024)
Article
Environmental Sciences
Naoto Ishiwaka, Koya Hashimoto, Masayoshi K. Hiraiwa, Francisco Sanchez-Bayo, Taku Kadoya, Daisuke Hayasaka
Summary: Systemic insecticides and rising temperatures have combined effects on the abundance of Odonata nymphs in paddy fields. The standalone effect of insecticide exposure decreased the Odonata community, while nymphs decreased synergistically with temperature rise in paddy water. However, the impacts of each stressor alone varied among species.
ENVIRONMENTAL POLLUTION
(2024)
Article
Environmental Sciences
Marco Vecchiato, Carlo Barbante, Elena Barbaro, Francois Burgay, Warren R. L. Cairns, Alice Callegaro, David Cappelletti, Federico Dallo, Marianna D'Amico, Matteo Feltracco, Jean-Charles Gallet, Andrea Gambaro, Catherine Larose, Niccolo Maffezzoli, Mauro Mazzola, Ivan Sartorato, Federico Scoto, Clara Turetta, Massimiliano Varde, Zhiyong Xie, Andrea Spolaor
Summary: The Arctic region is facing contamination from long-range pollution and local human activities. Polycyclic Aromatic Hydrocarbons (PAHs) are used as environmental indicators for emission, transport, and deposition processes. Research conducted in the Arctic surface snow in Ny-Ålesund, Svalbard from October 2018 to May 2019 shows that long-range inputs of PAHs mainly occur in winter, while the most abundant analyte retene exhibits opposite seasonal trends.
ENVIRONMENTAL POLLUTION
(2024)
Review
Environmental Sciences
Maoshui Zhuo, Zhijie Chen, Xiaoqing Liu, Wei Wei, Yansong Shen, Bing-Jie Ni
Summary: This paper discusses the application of three catalytic processes (photocatalysis, electrocatalysis, and biocatalysis) in the management of microplastic pollution, and introduces the efficiency and catalytic mechanisms of different catalysts. It also proposes the development prospects for sustainable management of microplastic pollution.
ENVIRONMENTAL POLLUTION
(2024)
Article
Environmental Sciences
Shiyu Chen, Zhenzhen Shi, Qiang Zhang
Summary: In this study, a human physiologically based pharmacokinetic (PBPK) model of diethyl phthalate (DEP) was developed to assess its toxicity. The model considers the distribution and metabolism of DEP and its active metabolite monoethyl phthalate (MEP) in different tissue compartments. Sensitivity analysis and Bayesian Markov chain Monte Carlo (MCMC) simulations were performed to evaluate the uncertainty and variability of the model parameters. The results suggest that dermal absorption is an important route of exposure to DEP in the environment.
ENVIRONMENTAL POLLUTION
(2024)
Article
Environmental Sciences
Bangguo Wang, Lijing Wang, Wenxi Cen, Tao Lyu, Peter Jarvis, Yang Zhang, Yuanxun Zhang, Yinghui Han, Lei Wang, Gang Pan, Kaili Zhang, Wei Fan
Summary: This study investigates the feasibility and mechanisms of a chemical-free nanobubble-based AOP for treating organic micropollutants in water. The results show that the oxygen nanobubble AOP has a significantly higher removal efficiency compared to air and nitrogen nanobubbles. The treatment performance is not affected by pH and the presence of ions. Higher initial concentrations of the micropollutant lead to slower treatment processes, but similar removal performance is achieved in the end. The presence of organic matter reduces the removal rate of the micropollutant. The results have practical feasibility for water and wastewater treatment.
ENVIRONMENTAL POLLUTION
(2024)
Article
Environmental Sciences
Yingmei Huang, Jicai Yi, Yao Huang, Songxiong Zhong, Bin Zhao, Jing Zhou, Yuxuan Wang, Yiwen Zhu, Yanhong Du, Fangbai Li
Summary: This study investigates the impact of biochar on methylmercury (MeHg) accumulation in rice. The results show that biochar reduces MeHg levels in paddy soils by decreasing bioavailable Hg and microbial Hg methylation. Additionally, biochar decreases the uptake and translocation of MeHg in rice plants, resulting in a reduction of MeHg accumulation in rice grains.
ENVIRONMENTAL POLLUTION
(2024)
Article
Environmental Sciences
Nengde Zeng, Fei Huang, Jiani Du, Chenghao Huang, Qian Yang, Xinhua Zhan, Baoshan Xing
Summary: This study investigates the protein targets and protein-ligand interactions related to PAH contamination in crop xylem sap using computational tools. The results show that phenanthrene has a more pronounced effect on the xylem sap proteins of maize and wheat, with maize DEPs associated with lipid biosynthesis and wheat DEPs exhibiting an increase in ABC transporters. This study provides insights into the regulation and movement of PAHs within plant xylem.
ENVIRONMENTAL POLLUTION
(2024)
Article
Environmental Sciences
Xinwei Chen, Hao Ma, Run Wang, Man Wang, Binbin Zhu, Yanqing Cong, Xiayue Zhu, Guoqin Wang, Yi Zhang
Summary: Co3O4/TiO2-NRs electrodes with excellent photoresponse were prepared via plasma-assisted modification of Co3O4 on TiO2. The combination of Co3O4 and TiO2 improved the light utilization efficiency and showed potential for degradation of pollutants.
ENVIRONMENTAL POLLUTION
(2024)
Article
Environmental Sciences
Wenjing Ji, Liying Song, Jing Wang, Hongqing Song
Summary: This study conducted a life-cycle assessment to examine the correlation between natural gas consumption and carbon emissions in different end uses in China. The results showed that both natural gas consumption and life-cycle carbon emissions have been increasing since 2017. Significant variations in NG life-cycle carbon emissions were found across different provinces and sectors, highlighting the need for targeted efforts to reduce carbon emissions.
ENVIRONMENTAL POLLUTION
(2024)
Article
Environmental Sciences
Youyi Chen, Boxuan Zhang, Pojun Zhang, Guogui Shi, Hao Liang, Wu Cai, Jingyu Gao, Sumin Zhuang, Kaiyin Luo, Jiaqi Zhu, Chaoxiang Chen, Kunyu Ma, Jinrong Chen, Chun Hu, Xueci Xing
Summary: The synergistic effects of trace sulfadiazine and cast-iron corrosion scales on the formation of disinfection by-products in drinking water distribution systems were investigated. The presence of magnetite resulted in increased concentrations of DBPs due to the higher microbial activity and enhanced microbial extracellular electron transport pathway. The study highlights the importance of considering trace antibiotics pollution and corrosion scales in water sources for DBP control.
ENVIRONMENTAL POLLUTION
(2024)
Review
Environmental Sciences
Bishwa Raj Pokharel, Vijay Sheri, Manoj Kumar, Zhiyong Zhang, Baohong Zhang
Summary: This review summarizes the interactions, uptake, and transport of aluminum nanoparticles (Al-NPs) in plants, highlighting their negative effects on plant growth and development, as well as their potential to alter plant defense systems and gene expression.
ENVIRONMENTAL POLLUTION
(2024)
Article
Environmental Sciences
Yonglu Wang, Fengsong Zhang, Xiaoyong Liao, Xiao Yang, Guixiang Zhang, Liyun Zhang, Chaojun Wei, Pengge Shi, Jiongxin Wen, Xiaorong Ju, Can Xu, Yang Liu, Ying Lan
Summary: This study aims to explore the effects of thiencarbazone-methyl center dot isoxaflutole on soil microflora and the potential mitigation mechanisms to bacterial communities. It was found that increasing the application of thiencarbazone-methyl center dot isoxaflutole resulted in increased stress on soil bacterial community structure and diversity. Increasing soil pH was recognized as a key factor in improving the diversity and structure of soil microflora. Supplemental use of nitrapyrin or modified attapulgite can increase soil pH and improve bacterial diversity.
ENVIRONMENTAL POLLUTION
(2024)