Article
Environmental Sciences
Bin Wang, Wei Zhu, Silin Wu, Hao Hou, Lin Cheng, Xiaoge Xu, Yuehong Li, Xiaowei Lin, Zongpu Xue
Summary: Microplastics, as a new type of pollutant, have negative impacts on the environmental quality of Taihu Lake. This study found that microplastics are present in both the surface water and sediments of the lake, with varying abundances across different locations and time periods. The northern and western lake areas show higher levels of microplastic pollution and are prone to cyanobacterial blooms, which can have detrimental effects on water quality and ecosystems.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Xiaofeng Chen, Kun Wang, Xing Li, Yuqi Qiao, Kunming Dong, Liuyan Yang
Summary: The study found that Microcystis blooms promote the cycling of organic nitrogen and nitrification in Lake Taihu, leading to significant diurnal fluctuations in NO3- concentration in the water column.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Marine & Freshwater Biology
Huaimin Chen, Wei Zhu, Ruochen Wang, Ganyu Feng, Zongpu Xue
Summary: This study found that wind speed plays a key role in the horizontal transport and formation of algal blooms. The research showed that when the wind speed was 2.1 m/s, the horizontal transport rate of Microcystis was greatest, with the 1 cm surface water layer accounting for 60-77% of the transport in the downwind layer. Therefore, intercepting or reducing the surface biomass of Microcystis can effectively prevent bloom formation.
Article
Environmental Sciences
Mengmeng Wang, Huifen Zhang, Caili Du, Wei Zhang, Jianing Shen, Shunqing Yang, Liuyan Yang
Summary: This study investigated the factors influencing the phosphorus release potential of cyanobacteria in Lake Taihu, revealing that both the physiological status of the cyanobacteria and their horizontal drift play a role in determining their spatiotemporal differences. These factors ultimately affect the distribution of total phosphorus in the lake.
ENVIRONMENTAL POLLUTION
(2021)
Article
Environmental Sciences
A. Jalil, K. Zhang, L. Qi, Y. Li, M. Aleem
Summary: This study highlighted the significant impact of long-term wind dynamics on phytoplankton biomass in Lake Taihu, especially the variations in wind speed annually and seasonally. Lower to medium wind speeds with frequent directional switching towards shore areas helped in reducing water temperatures and adjusting phytoplankton distribution. Declining wind speeds were found to affect colony formation of phytoplankton.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY
(2021)
Article
Environmental Sciences
Long Yan, Zhi Xu, Yajie Hu, Yong Wang, Fei Zhou, Xichao Gao, Yonghua Zhu, Dingxin Chen
Summary: This paper analyzes the main driving factors of cyanobacterial bloom in Lake Taihu by interpreting MODIS data, and identifies phosphorus and potassium as the main influencing factors, determining the water level as one of the factors affecting cyanobacterial bloom. A hazard function for cyanobacterial blooms is constructed to quantitatively assess the economic losses caused, providing support for cyanobacteria control management in Lake Taihu.
Article
Environmental Sciences
Qiji Zhang, Tong Liu, Liu Liu, Yifan Fan, Wenxin Rao, Jinglan Zheng, Xin Qian
Summary: Research in China's Taihu Lake and surrounding major rivers found varying levels of microplastic pollution, with inflow rivers more affected than outflow rivers. The main components identified were polyvinyl chloride and polyethylene, with differences in average size and distribution observed in different water bodies.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Environmental Sciences
Boqiang Qin, Jianming Deng, Kun Shi, Jia Wang, Justin Brookes, Jian Zhou, Yunlin Zhang, Guangwei Zhu, Hans W. Paerl, Li Wu
Summary: The study finds that regional climate anomalies exacerbate eutrophication in Lake Taihu by intensifying internal nutrient cycling and aggravating cyanobacterial blooms, resulting in a positive feedback mechanism. These regional effects of climate anomalies are nested within larger-scale global warming predicted to continue in the foreseeable future, contributing to the global expansion of eutrophication and blooms, especially in large, shallow, and eutrophic lakes.
WATER RESOURCES RESEARCH
(2021)
Article
Environmental Sciences
Qing Yang, Yongqiang Liu, Lihong Wang, Qing Zhou, Mengzhu Cheng, Jiahong Zhou, Xiaohua Huang
Summary: The study reveals that exposure to cerium in Lake Taihu water can enhance the production of microcystins (MCs) in Microcystis aeruginosa, aggravating the pollution of MCs by promoting endocytosis in the cells of M. aeruginosa.
ENVIRONMENTAL POLLUTION
(2022)
Article
Limnology
Chaoxuan Guo, Mengyuan Zhu, Hai Xu, Yunlin Zhang, Boqiang Qin, Guangwei Zhu, Jianjun Wang
Summary: The study found that the dependency of resource use efficiency (RUE) on phytoplankton diversity has spatiotemporal patterns. The RUE of nitrogen, phosphorous, and silicate showed different temporal trends. RUE was affected by nutrients and water temperature, and was also related to phytoplankton diversity. Interestingly, there was a negative spatial dependency between RUE and phytoplankton diversity. These dependencies were related to the spatial distribution of nutrients. Furthermore, the temporal dependency of RUE on phytoplankton diversity differed in different regions, primarily driven by the temporal stability of nutrients. These findings are important for future environmental management plans.
LIMNOLOGY AND OCEANOGRAPHY
(2022)
Article
Environmental Sciences
Guijun Yang, Hua Su, Jinhua Zhu, Lei Xu, Yunrui Wu, Guofeng Liu, Xiquan Hu
Summary: Light and hydrodynamic force are important factors affecting the growth of Microcystis. Green light has been found to inhibit the growth of Microcystis. In the field conditions of Taihu Lake, continuous mixing was found to be effective in removing Microcystis under green light conditions and promoting the growth of green algae and diatoms.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Chaonan Han, Yan Dai, Ningning Sun, Hao Wu, Yu Tang, Tianhao Dai
Summary: This study compares the characteristics of phosphorus forms and bacterial community structures in the cyanobacteria area and non-cyanobacteria area of Taihu Lake. The results show that algae bloom and decomposition in the water environment change the natural phosphorus cycle through intensified pathways of sediment phosphorus mineralization, accumulation, and reductive dissolution, driven by anoxic sediment conditions and the activities of iron reducing bacteria, and sulfate reducing bacteria. Understanding this vicious phosphorus cycle pattern is important for eutrophication prevention and control measures in lakes.
Article
Engineering, Environmental
Qinyi Chen, Zhicong Wang, Hui Wei, Jinglong Wang, Weicheng Zhou, Panpan Zhou, Dunhai Li
Summary: This study investigates the effects of the environmental concentration of anionic surfactants on the dominance of toxic Microcystis and toxin production. The results show that high concentrations of anionic surfactants selectively promote the photosynthetic competitive advantage of toxic Microcystis and induce the synthesis and release of microcystins. Toxic Microcystis can better resist the stress of anionic surfactants by dissipating excess light, maintaining membrane structure, and cellular homeostasis. The damage to non-toxic Microcystis's photosynthesis may be due to the impacts of anionic surfactants on nitrogen absorption and assimilation.
Article
Environmental Sciences
Lijuan Kang, Guangwei Zhu, Mengyuan Zhu, Hai Xu, Wei Zou, Man Xiao, Yunlin Zhang, Boqiang Qin
Summary: This study found that high phosphorus concentrations are common in eutrophic lakes during algal blooms, despite previous efforts to reduce external nutrient inputs. Through extensive nutrient monitoring in Lake Taihu and its tributaries over a five-year period, it was determined that internal phosphorus loading has a significant impact on phosphorus dynamics. The study showed that the in-lake total phosphorus stores ranged from 398.5 to 1530.2 tons, and the annual internal phosphorus loading accounted for approximately 115.6% of the external inputs on average. The findings highlight the importance of considering internal phosphorus loading and ecosystem restoration in eutrophic lakes, particularly in regions dominated by algal blooms.
ENVIRONMENTAL RESEARCH
(2023)
Article
Biology
Larry Wymer, Stephen Vesper, Ian Struewing, Joel Allen, Jingrang Lu
Summary: To ensure the safety of drinking water, it is important to understand the relationship between fungi and harmful cyanobacterial blooms (HCBs) and their toxins. This study found that the concentration of the fungus Cladosporium cladosporioides and the microcystin-gene transcript copy number of Microcystis aeruginosa appeared to be interrelated during each bloom season. The results also showed that there might be a balanced antagonism between the fungus and the cyanobacteria, with variations observed between different years.
Article
Environmental Sciences
Kai Du, Huaguo Huang, Ziyi Feng, Teemu Hakala, Yuwei Chen, Juha Hyyppa
Summary: By matching radar waveforms with simulated ones, this study proposed a method to estimate forest canopy LAI using Tomoradar.
Article
Chemistry, Analytical
Wenxin Tian, Lingli Tang, Yuwei Chen, Ziyang Li, Jiajia Zhu, Changhui Jiang, Peilun Hu, Wenjing He, Haohao Wu, Miaomiao Pan, Jing Lu, Juha Hyyppa
Summary: The study focused on the radiometric calibration method for the incidence angle effect of Hyperspectral LiDAR, proposing a Lambertian-Beckmann model to address the issue caused by the angle of incidence. This model quantified the difference between diffuse and specular reflectance coefficients successfully, resulting in higher calibration accuracy compared to the Lambertian model. Furthermore, the study revealed an average improvement rate of 22.67% to the samples and a substantial average improvement rate of 62.26% for incidence angles less than 70 degrees. Additionally, the research discovered a significant specular reflection effect in green leaves near 650-720 nm, potentially related to the internal microstructure of chlorophyll, with the Lambertian-Beckmann model being more beneficial for leaf calibration in the visible wavelength range.
Article
Environmental Sciences
Hui Zhou, Yuwei Chen, Teemu Hakala, Ziyi Feng, Changhui Jiang, Jianxin Jia, Haibin Sun, Juha Hyyppa
Summary: The paper investigates the penetration properties of an airborne Ku-band frequency modulated continuous waveform (FMCW) profiling radar and a satellite near-infrared lidar into the boreal forest of Finland. The Ku-band microwave can penetrate deeper into the forest than the near-infrared laser at the same spatial scale. The analysis results provide valuable insights for exploring FMCW radar applications and data fusion of the Ku-band radar and near-infrared lidar in forest investigations.
Article
Ecology
Min Zhang, Xiaoli Shi, Feizhou Chen, Zhen Yang, Yang Yu
Summary: The study found that changes in phytoplankton composition in lakes of the Yangtze River catchment in China during spring and summer were not synchronous. Spatial environmental characteristics, temporal changes in environmental variables, and the initial phytoplankton composition together influence the diversity of phytoplankton.
ECOLOGY AND EVOLUTION
(2021)
Article
Environmental Sciences
Tianru Xue, Yueming Wang, Yuwei Chen, Jianxin Jia, Maoxing Wen, Ran Guo, Tianxiao Wu, Xuan Deng
Summary: The paper proposes a mixed noise estimation model (MNEM) for optimized KMNF, and experimental results demonstrate that MNEM can improve the classification accuracy of KMNF and achieve significant speed-up on GPU.
Article
Environmental Sciences
Jianxin Jia, Changhui Jiang, Wei Li, Haohao Wu, Yuwei Chen, Peilun Hu, Hui Shao, Shaowei Wang, Fan Yang, Eetu Puttonen, Juha Hyyppa
Summary: A hyperspectral LiDAR with wide-range wavelength was developed for vegetation spectral data acquisition, parameter extraction, and classification, showing great potential in precision agriculture application.
Review
Environmental Sciences
Jianxin Jia, Haibin Sun, Changhui Jiang, Kirsi Karila, Mika Karjalainen, Eero Ahokas, Ehsan Khoramshahi, Peilun Hu, Chen Chen, Tianru Xue, Tinghuai Wang, Yuwei Chen, Juha Hyyppa
Summary: Digital maps of road networks are essential for digital cities and intelligent transportation systems. This paper provides a comprehensive review on road extraction methods based on various remote sensing data sources, aiming to serve as a reference for research in this field.
Article
Biodiversity Conservation
Yangyang Meng, Min Zhang, Zhen Yang, Xiaoli Shi, Yang Yu, Limei Shi
Summary: This study examined the morphological traits of different bloom-forming cyanobacteria in Lake Chaohu, China. The results showed that Dolichospermum flos-aquae and Microcystis aeruginosa were the dominant cyanobacteria in the lake, with differing morphological traits in different seasons. Dolichospermum appeared to maintain biomass through a trade-off between cell diameter and colony size.
Article
Marine & Freshwater Biology
Min Zhang, Zhen Yang, Xiaoli Shi, Yang Yu
Summary: The interaction between temperature and light has an important impact on the shift of phytoplankton community in spring. Increasing temperature and declining underwater light boost the flourishing of cyanobacteria, especially Microcystis, and are adverse to the development of diatoms.
Article
Environmental Sciences
Yingbo Yue, Hannu Koivula, Mirjam Bilker-Koivula, Yuwei Chen, Fuchun Chen, Guilin Chen
Summary: This paper proposes a new method that combines the long short-term memory model and the relative power spectrum method to extract abnormal signals of total electron content for more accurate earthquake prediction. By analyzing and statistically validating the spatiotemporal characteristics of TEC anomalies, a correlation between anomalies and earthquakes is found. The method is evaluated using earthquake-related anomalies proportion, earthquakes outside the predicted range proportion, and probability gain, indicating that anomalies of total electron content may decrease the uncertainty of earthquake prediction.
Article
Environmental Sciences
Fan Yang, Weiming Xu, Zhicheng Cui, Xiangfeng Liu, Xuesen Xu, Liangchen Jia, Yuwei Chen, Rong Shu, Luning Li
Summary: A CNN model was designed in this study to identify rocks using LIBS spectra, and it outperformed other machine learning algorithms in terms of classification accuracy. The results demonstrate the efficiency of CNN-based chemometrics for rock identification with LIBS spectra collected in a simulated Martian environment.
Article
Environmental Sciences
Haodong Cui, Shi Qiu, Yicheng Wang, Yu Zhang, Zhaoyan Liu, Kirsi Karila, Jianxin Jia, Yuwei Chen
Summary: Rapid disaster assessment is crucial, and using satellite remote sensing imagery to detect power outages offers a broader coverage and more temporal sensitivity. This study proposes a new method to build a power outage detection model and draw a power outage spatial distribution map. By analyzing cloud-free VIIRS DNB nadir and close nadir images collected during the winter storm Uri in Harris County, Texas, the study compares the radiance difference before and after the disaster to identify power outages.
Article
Chemistry, Analytical
Hui Shao, Fuyu Wang, Wei Li, Peilun Hu, Long Sun, Chong Xu, Changhui Jiang, Yuwei Chen
Summary: This study proposes a method to classify persimmon tree components based on hyperspectral LiDAR data and improves the classification accuracy by introducing a reprogramming strategy that combines spatial constraints with spectral information.
Article
Ecology
Liya Wang, Min Zhang, Yangyang Meng, Zhen Yang, Xiaoli Shi, Yang Yu, Limei Shi
Summary: Air pollution and lake eutrophication have led to a decrease in incident total radiation and water transparency in many lakes, resulting in a reduction in underwater light availability. This reduction is influenced by the dynamics of spring phytoplankton communities, which are not fully understood.
Article
Environmental Sciences
Zheng Zhao, Shi Qiu, Fu Chen, Yuwei Chen, Yonggang Qian, Haodong Cui, Yu Zhang, Ehsan Khoramshahi, Yuanyuan Qiu
Summary: A novel vessel detection method based on the high spatial resolution of SDGSAT-1 is proposed in this paper. The method utilizes noise separation and density clustering algorithms to detect artificial light sources, achieving better detection accuracy and recall rate compared to other methods used for comparison in the experiment.
