Article
Marine & Freshwater Biology
Claudia Sabine Bruhn, Sylke Wohlrab, Bernd Krock, Nina Lundholm, Uwe John
Summary: Harmful algal blooms (HABs) are increasingly occurring in the world's oceans possibly due to climate change, and a lack of information on their occurrence in the Arctic makes assessing future changes challenging. A study found that Arctic waters provide a suitable habitat for various toxin producers, with changing toxin abundances reflecting the strong seasonality of the environment, posing a potential threat to the ecosystem and its beneficiaries.
Article
Environmental Sciences
Sem Likumahua, M. Karin de Boer, Bernd Krock, Willem M. Tatipatta, Malik S. Abdul, Anita G. J. Buma
Summary: This study aims to understand the variability of Dinophysis spp. and their toxins in Ambon Bay. It found a strong correlation between the PTX2sa toxin and the abundance of D. miles cells, as well as a positive correlation between temperature and toxin levels. Dissolved nitrate concentration was also found to play a major role in regulating cell abundance and toxin levels.
MARINE POLLUTION BULLETIN
(2022)
Article
Environmental Sciences
Riley P. Buley, Matthew F. Gladfelter, Edna G. Fernandez-Figueroa, Alan E. Wilson
Summary: This research found that commonly measured water quality parameters are correlated with Microcystin (MC) occurrence, which is helpful for monitoring purposes. However, correlational analyses alone are often ineffective, and considering the role of parameters in the ecology of cyanobacterial blooms and MC production is crucial.
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2022)
Article
Limnology
Riley P. Buley, Hannah E. Correia, Ash Abebe, Tahir B. Issa, Alan E. Wilson
Summary: This study utilized observational data from lakes and reservoirs around the world to identify the environmental variables most strongly associated with microcystin (MC) concentrations, revealing factors such as location, total nitrogen, turbidity, and pH as the most significant predictors, while total phosphorus was found not to be a strong predictor of MC.
Article
Biodiversity Conservation
Congyu Hou, Maria L. Chu, Jorge A. Guzman
Summary: This study aimed to evaluate the risk of HAB occurrence in a highly cultivated watershed and assess the effectiveness of N and P reduction practices in mitigating this risk. The results suggested that regulating P was more effective in reducing HAB risks in the watershed, while regulating N was more effective in controlling downstream HAB.
ECOLOGICAL INDICATORS
(2022)
Article
Marine & Freshwater Biology
Aini Hannani Naqiah Abdul Manaff, Kieng Soon Hii, Zhaohe Luo, Minlu Liu, Ing Kuo Law, Sing Tung Teng, Mohd Fadzil Akhir, Haifeng Gu, Chui Pin Leaw, Po Teen Lim
Summary: A large-scale sampling was conducted in the South China Sea to investigate the molecular diversity and distributions of microeukaryotic protists, focusing on potentially harmful microalgal (HAB) species along the east coast of Peninsular Malaysia. The study discovered various protistan molecular units, including previously unreported HAB taxa, and revealed interesting spatial distribution patterns. The molecular information obtained provides an updated HAB species inventory and a toolset for HAB monitoring and management decisions in the region.
Article
Environmental Sciences
Yuanmin Sun, Kunxian Tang, Yong Ma, Xuan Zhu, Heyang Li, Fei Zhang, Shan Chen, Haiping Huang
Summary: This study investigated the influence of sediment disturbance on seawater and found that it had adverse effects, leading to a decrease in dissolved oxygen, an increase in nutrients, and the occurrence of algal blooms. The variations in chlorophyll a, bacteria, and viruses were closely related to the blooms, showing a sequential change from nutrients to phytoplankton to bacteria to viruses during the experiment.
FRONTIERS IN MARINE SCIENCE
(2022)
Article
Geography, Physical
Pedro Henrique Moraes Ananias, Rogerio Galante Negri
Summary: This study proposed a novel method for automated detection of algal blooms using multi-temporal image series processing and spectral indices. Case studies were conducted in Lake Erie (USA) and Lake Taihu (China), with comparisons made to methods based on spectral index thresholds. The proposed method showed highly accurate results compared to traditional approaches, although it had a higher computational cost.
INTERNATIONAL JOURNAL OF DIGITAL EARTH
(2021)
Article
Microbiology
Huiyin Song, Yiqi Wang, Xiangxiang Ding, Nansheng Chen
Summary: A large-scale bloom event of P. globosa occurred offshore Qingdao in the winter of 2021, lasting for over one month. This event was notable because it was the first recorded P. globosa bloom in Qingdao and the temperature was much lower compared to previous blooms in China. The analysis revealed limited genetic compositions of P. globosa offshore Qingdao, with two dominant genotypes and other rare genotypes with low abundance.
Article
Engineering, Electrical & Electronic
Qilei Zhang, Lei Yu, Feng He, Yifei Ji
Summary: This paper proposes a modified complex multitask Bayesian compressive sensing algorithm using the Laplacian scale mixture prior. The algorithm improves the signal recovery performance and reduces the computational complexity by exploiting the better sparse characteristic and flexibility of the LSM prior, integrating out the noise variance analytically, and developing a sub-optimal fast implementation method based on marginal likelihood maximisation. Numerical simulations validate the better performance of the proposed algorithm in reconstruction accuracy and computational effectiveness than existing work.
IET SIGNAL PROCESSING
(2022)
Article
Computer Science, Theory & Methods
Hamijah Mohd Rahman, Nureize Arbaiy, Chuah Chai Wen, Pei-Chun Lin
Summary: This paper introduces fuzzy random regression to address uncertainties of fuzziness and randomness in real regression applications, overcoming the limitation of classical regression. However, there is currently no systematic procedure to identify randomness using probability theories. Additionally, existing models mainly focus on fuzzy equations and ignore the discussion on probability equations, even though randomness plays a crucial role in fuzzy random regression models. Therefore, this paper proposes a systematic procedure using Naive Bayes to estimate probability values in order to overcome randomness. The results show that considering probability estimation can improve the accuracy of the Naive Bayes model.
INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS
(2023)
Article
Biodiversity Conservation
Bruno D. Suarez-Tangil, Alejandro Rodriguez
Summary: Reliably assessing the occurrence of medium- and large-sized mammals is necessary to understand their response to rapid environmental changes. Active detection methods, such as track surveys and scat surveys, were found to be more effective than passive detection methods (camera traps and scent stations) for monitoring mammal occurrence.
ECOLOGICAL INDICATORS
(2021)
Article
Geochemistry & Geophysics
Liangyou Lu, Peng Chen, Lenan Wu
Summary: A novel method for high-resolution ISAR imaging is developed by exploiting the block-sparse structure in the ISAR image, using LSM prior and 2-D pattern-coupled scale prior for encoding sparsity and capturing dependencies among coefficients, and employing VBI for posterior inference. Numerical results validate the effectiveness of the proposed algorithm based on simulated and measured data.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2021)
Article
Quantum Science & Technology
Arthur J. Parzygnat, Francesco Buscemi
Summary: We propose a category-theoretic definition of retrodiction and demonstrate a time-reversal symmetry for all quantum channels. By introducing retrodiction families and functors, we capture the properties that retrodiction should possess and find that only the original Petz recovery map defines a retrodiction functor. Retrodiction functors exhibit an inferential time-reversal symmetry consistent with the standard formulation of quantum theory, contrasting with previous no-go results on time-reversal symmetry for quantum channels.
Article
Engineering, Environmental
Shasha Yang, Michael R. Twiss, Sujan Fernando, Stefan J. Grimberg, Yang Yang
Summary: In this study, an emergency-responsive electrochemical oxidation and filtration (EOF) process was developed to effectively treat cyanobacterial harmful algal blooms (cHABs) and cyanotoxins. The results showed that the EOF process could inactivate and destroy cyanobacteria and cyanotoxin microcystinLR by generating locally concentrated free chlorine. Additionally, the concentration of disinfection byproducts generated by EOF was significantly lower compared to chlorination.
ACS ES&T ENGINEERING
(2022)
Article
Environmental Sciences
Shuai Zeng, Chenggong Du, Yunmei Li, Heng Lyu, Xianzhang Dong, Shaohua Lei, Junda Li, Huaijing Wang
Summary: This study developed a novel algorithm to estimate the particulate phosphorus concentration (C-pp) in lakes on the Yangtze Plain, China, revealing significant spatiotemporal heterogeneity in C-pp from 2016 to 2020. The findings showed that C-pp in lakes is influenced by a combination of natural and anthropogenic factors, with 13 lakes displaying significant trends of decreasing or increasing C-pp over the observation period.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Environmental Sciences
Qiu Jin, Junjian You, Meixiang Xie, Yaliu Qiu, Shaohua Lei, Qian Ding, Jingnan Chen
Summary: This study evaluated the effects of different irrigation modes on nitrogen loss and found that drip irrigation can improve nitrogen utilization in crops and reduce nitrogen loss.
Article
Environmental Sciences
Shuai Zeng, Shaohua Lei, Yunmei Li, Heng Lyu, Xianzhang Dong, Junda Li, Xiaolan Cai
Summary: Understanding the spatiotemporal dynamics of total dissolved phosphorus concentration (C-TDP) and its regulatory factors is crucial for improving our understanding of its impact on inland water eutrophication. In this study, a novel bio-optical algorithm was developed and tested in Lake Taihu, China, yielding robust and portable results. Furthermore, analysis based on Geostationary Ocean Color Imager observations revealed significant spatiotemporal heterogeneity of C-TDP in Lake Taihu, with air temperature identified as the dominant regulating factor in its variations.
ENVIRONMENTAL POLLUTION
(2022)
Article
Environmental Sciences
Ren Geng, Qiu Jin, Shaohua Lei, Hongyuan Liu, Bin Lu, Meixiang Xie
Summary: This study evaluates the reliability of different methods for determining the critical shear stress of rill erosion and explores its relationship with erodibility and influencing factors. The results show differences in the critical shear stress obtained from different methods and no significant relationship with erodibility. This has important implications for understanding the mechanism of rill erosion.
Article
Environmental Sciences
Xiaolan Cai, Yunmei Li, Shaohua Lei, Shuai Zeng, Zhilong Zhao, Heng Lyu, Xianzhang Dong, Junda Li, Huaijing Wang, Jie Xu, Yuxin Zhu, Luyao Wu, Xin Cheng
Summary: A hybrid approach was developed to estimate the CCOD concentration in inland optically complex waters. The approach showed satisfactory validation results and significant superiority compared to previous algorithms. The method was applied to analyze the spatiotemporal distribution of CCOD in Lake Taihu and revealed substantial variations.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Environmental Sciences
Shuai Zeng, Zihong Qin, Baozhen Ruan, Shaohua Lei, Jian Yang, Weiwei Song, Qiang Sun
Summary: This study used MODIS data to investigate the trends and distribution patterns of particulate phosphorus (PP) concentration in eutrophic Lake Chaohu in the Yangtze River Basin. A new empirical model was developed to estimate CPP, and the results showed an overall increasing trend and significant spatiotemporal heterogeneity in CPP in Lake Chaohu. Chemical fertilizer consumption, municipal wastewater, industrial sewage, precipitation, and air temperature were identified as the five main driving factors affecting CPP variation, collectively explaining more than 81% of the long-term variation. This study provides valuable insights and long-term datasets for future water eutrophication control and restoration efforts.
ENVIRONMENTAL RESEARCH
(2023)
Article
Environmental Sciences
Jianzhong Li, Zhubin Zheng, Ge Liu, Na Chen, Shaohua Lei, Chao Du, Jie Xu, Yuan Li, Runfei Zhang, Chao Huang
Summary: The intensification of anthropogenic activities has caused a significant deterioration in water quality and increased eutrophication in rivers and lakes. Poyang Lake, the largest freshwater lake in China, is facing a severe challenge related to eutrophication, threatening the ecosystem service and drinking water safety. This study utilized Landsat-8 OLI data and developed a semi-analytical algorithm to assess the trophic state of water bodies in the Poyang Lake Basin. The results revealed spatial and temporal variations in the trophic state of water bodies, with higher levels in the north and in winter. Temperature and human activities were identified as significant factors influencing the trophic level of the water.
Article
Environmental Sciences
Liang He, Chenfang Xu, Shaohua Lei, Ling Chen, Suozhong Chen
Summary: This study analyzes the imbalance between water resource environment and economic and social development in the Yangtze River Delta. It explores the temporal and spatial variation characteristics of rainfall and evaporation, evaluates water quality and availability, and provides a reference for water resource evaluation and sustainable development in the region.
Article
Green & Sustainable Science & Technology
Bo Bi, Jian Tong, Shaohua Lei, Dan Chen, Qiu Jin, Dalin Hong, Xiaojun Wang, Jing Chen, Siyuan Zhao
Summary: Human-dominated landscapes pose a significant threat to amphibian populations globally. In China, concrete irrigation channels hinder the movement of frog species. The ability of frogs to escape from these channels was found to be related to body size, and an improved design for amphibian ladders can greatly improve their success in escaping.
Article
Environmental Sciences
Shuai Zeng, Shaohua Lei, Zihong Qin, Weiwei Song, Qiang Sun
Summary: A novel absorption-based algorithm was developed to monitor the spatiotemporal variations of particulate organic phosphorus concentration (CPOP) in Lake Taihu. The study revealed an increasing trend in CPOP over the past 19 years, with significant seasonal and spatial heterogeneity. The results also demonstrated the influence of air temperature and algal metabolism on CPOP. This study provides valuable insights for the conservation of aquatic ecosystems.
Article
Engineering, Environmental
Xiaolan Cai, Luyao Wu, Yunmei Li, Shaohua Lei, Jie Xu, Heng Lyu, Junda Li, Huaijing Wang, Xianzhang Dong, Yuxing Zhu, Gaolun Wang
Summary: Due to rapid urbanisation, urban water quality has been degraded by increased pollutants. A remote sensing identification method for urban water pollution sources, using unmanned aerial vehicle (UAV) hyperspectral images, was established. By analyzing fluorescent components and spectral indices, four types of pollution sources (domestic sewage, terrestrial input, agricultural and algal, and industrial wastewater) were identified. Optical parameters were used to develop an identification method with a recognition accuracy exceeding 70% for the four pollution sources, expanding the application of remote sensing technologies for urban water quality management.
JOURNAL OF HAZARDOUS MATERIALS
(2023)
Article
Environmental Sciences
Kai Chen, Chun Wang, Mingyue Lu, Wen Dai, Jiaxin Fan, Mengqi Li, Shaohua Lei
Summary: This study integrates the topographic skeleton with deep learning for terrain reconstruction, improving the quality of open-source DEMs and introducing innovative ideas for producing high-precision DEMs.
Article
Engineering, Environmental
Liang He, Jia Liu, Shaohua Lei, Ling Chen
Summary: This study constructed a groundwater level prediction model based on hydrogeological conditions and spatio-temporal characteristics. The model introduced the spatial autocorrelation of hydrogeological parameters and optimized the distance weighting coefficient of monitoring wells to improve the prediction accuracy.
Article
Green & Sustainable Science & Technology
Liang He, Xiaoqing Li, Shaohua Lei, Bo Bi, Suozhong Chen
Summary: This study proposes an optimized adaptive triangular mesh dynamic generation algorithm called R-TIN, which is applied to 3D engineering geological modeling to address the problems encountered by the traditional advancing front technique algorithm due to the complex geometric characteristics of the front edge shape. The algorithm classifies the shapes involved in advancing the front edge inward into four types and constructs the optimal triangular unit using the candidate mesh point heuristic algorithm. The algorithm maintains its robustness through the graded concession of the included angle threshold in the adjacent front-line segments. The construction of a 3D engineering geological model based on 160 engineering geological boreholes greatly improves the accuracy and visualization effect of the overall geological model, presenting the spatial distribution of strata and lithological characteristics.
Article
Environmental Sciences
Zhubin Zheng, Chao Huang, Yunmei Li, Heng Lyu, Changchun Huang, Na Chen, Ge Liu, Yulong Guo, Shaohua Lei, Runfei Zhang, Jianzhong Li
Summary: A new quasi-analytical algorithm (QAA716) was developed to estimate Chlorophyll-a (Chl-a) concentration in inland eutrophic lakes using Orbita Hyperspectral (OHS) satellite images. The estimation capability and radiometric performance of OHS were evaluated, and the results showed that QAA716 achieved better accuracy compared to other models, and the FLAASH atmospheric correction model was more suitable for OHS images. OHS had moderate signal-to-noise ratio (SNR) and noise equivalent of Chl-a (NEChl-a), enabling accurate detection of Chl-a concentration.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Biodiversity Conservation
Yongcui Lan, Jinliang Wang, Qianwei Liu, Fang Liu, Lanfang Liu, Jie Li, Mengjia Luo
Summary: This study focuses on the five major plateau lake basins in central Yunnan, China, and constructs an ecological security pattern using the source-resistance surface-corridor-pinch point framework. The study simulates land use/cover change in the region and identifies early warning regions where future urban expansion poses a threat to current ecological source areas and corridors.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Pingping Huang, Feng Zhao, Bailing Zhou, Kuidong Xu
Summary: This study investigates the distribution of benthic microeukaryotes in the China Seas and finds that they can stride over the ecological barrier of 32 degrees N. The study also highlights the significant influence of depth, temperature, and latitude on communities in the China Seas.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Federico Morelli, Yanina Benedetti, Jesse Stanford, Leszek Jerzak, Piotr Tryjanowski, Paolo Perna, Riccardo Santolini
Summary: Species distribution models (SDMs) are numerical tools used for predicting species' spatial distribution. This study found that ecological characteristics, such as habitat specialization, play a role in improving the accuracy of SDMs.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Xiaoxuan Wu, Hang Liu, Wei Liu
Summary: Global climate change, urbanization, and economic development have increased the need for sustainable human development, urban ecological governance, and low-carbon energy transformation. This study analyzes the green ecological transition in Chengdu based on panel data from 2010 to 2020, exploring its spatiotemporal evolution and key factors. The results show an overall upward trend in Chengdu's green ecological development and positive spatial autocorrelation in certain districts.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Castaldi Simona, Formicola Nicola, Mastrocicco Micol, Morales Rodriguez Carmen, Morelli Raffaella, Prodorutti Daniele, Vannini Andrea, Zanzotti Roberto
Summary: Sustainable agricultural practices are increasingly important for global and national environmental policies and economy. This study compared the sustainability of grape production under integrated and organic management using multiple indicators. The results showed that organic management was more beneficial for most environmental aspects of the agroecosystem compared to integrated management, without affecting grape yield.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Gaia Vaglio Laurin, Alexander Cotrina-Sanchez, Luca Belelli-Marchesini, Enrico Tomelleri, Giovanna Battipaglia, Claudia Cocozza, Francesco Niccoli, Jerzy Piotr Kabala, Damiano Gianelle, Loris Vescovo, Luca Da Ros, Riccardo Valentini
Summary: Phenology monitoring is important for understanding forest functioning and climate impacts. This research compares the phenological behavior of European beech forests using Tree-Talker (TT+) and Sentinel 2 satellite data. The study finds differences in the information derived by the two sensor types, particularly in terms of season length, phenology changepoints, and leaf period variability. TT+ with its higher temporal resolution demonstrates precision in capturing the phenological changepoints, especially when satellite image availability is limited.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Huanhuan Pan, Ziqiang Du, Zhitao Wu, Hong Zhang, Keming Ma
Summary: The land use and cover changes resulting from coal mining activities and ecological restoration have had a significant impact on ecosystem services in mining areas. This study investigates the relationship between ecosystem services and land use intensity in coal mining areas, emphasizing the importance of understanding this interdependence for balanced human-land system development. The research examines the evolving relationship across different reclamation stages in Shanxi, China, using a coupling coordination degree model. The findings suggest the need for timely and judicious reclamation of coalfields, considering the land's bearing capacity.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Jingjuan He, Yijun Shi, Lihua Xu, Zhangwei Lu, Mao Feng
Summary: This study examines the spatial interplay between changes in the blue-green spatial distribution and modifications in land surface temperature grades in Shanghai. The findings reveal that the transformation of the blue-green spatial pattern differs between different sectors of the city, and the impact on the thermal environment varies spatially.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Yi Xu, Di Zhang, Junqiang Lin, Qidong Peng, Xiaohui Lei, Tiantian Jin, Jia Wang, Ruifang Yuan
Summary: This study analyzed the response relationship between phytoplankton growth and water environmental parameters in the Middle Route of the South-to-North Water Diversion Project in China using long-term monitoring data and machine learning models. The results revealed the differences between monitoring sites and identified the key parameters that affect phytoplankton growth.
ECOLOGICAL INDICATORS
(2024)