A5113479810- Toxic Organic Pollutants Impact
- Microplastics and Plastic Pollution
- Effects and risks of endocrine disrupting chemicals
- Environmental Toxicology and Ecotoxicology
- Air Quality and Health Impacts
- Atmospheric chemistry and aerosols
- Marine Biology and Environmental Chemistry
- Methane Hydrates and Related Phenomena
- Arctic and Antarctic ice dynamics
- Oil Spill Detection and Mitigation
- Odor and Emission Control Technologies
- Underwater Acoustics Research
- Forest, Soil, and Plant Ecology in China
- Environmental Chemistry and Analysis
- Isotope Analysis in Ecology
- Digital Media and Visual Art
- Marine Ecology and Invasive Species
- Plant Water Relations and Carbon Dynamics
- Insect and Pesticide Research
- Mangiferin and Mango Extracts
- Environmental Impact and Sustainability
- Per- and polyfluoroalkyl substances research
- Air Quality Monitoring and Forecasting
- Insect Resistance and Genetics
- Mercury impact and mitigation studies
China Jiliang University
2019-2025
Fuzhou University
2024-2025
Sanya University
2020-2021
Dalian Maritime University
2012-2020
Ministry of Transport
2017-2018
Methyl siloxanes, which belong to organic silicon compounds and have linear cyclic structures, are of particular concern because their potential characteristic persistent, bioaccumulated, toxic, ecological harm. This study investigated the trophic transfer four methyl siloxanes (octamethylcyclotetrasiloxane (D4), decamethylcyclopentasiloxane (D5), dodecamethylcyclohexasiloxane (D6), tetradecamethylcycloheptasiloxane (D7)) in a marine food web from coastal area Northern China. Trophic...
Emerging studies implicate fine particulate matter (PM2.5) and its organic components (OCs) as urgent hazard factors for lung cancer progression in nonsmokers. Establishing the adverse outcome pathway (AOP)-directed nontargeted identification method, this study aimed to explore whether PM2.5 exposure coal-burning areas promoted tumor metastasis how we identify effective OCs support traceability control of regional pollution. First, used a nude mouse model found that significantly...
Neonicotinoid insecticides (NNIs) can harm non-target species. This study examines NNIs’ distribution, sources, human exposure risks, and ecological risks in the Qiantang River’s water sediment. NNIs concentrations ranged from 8.92 to 88.0 ng/L 0.55 16.6 ng/g dw The showed a trend of middle reaches > lower upper reaches. Agricultural activities were main source, followed by wastewater treatment plants. Infants had highest intake, with daily intake 15.4 ng/kg body weight, about 5.4-times...
A total of 46 polycyclic aromatic hydrocarbons (PAHs, 21 parent and 25 alkylated) were determined in multi-matrices Dalian's coastal area, China, 50 days after an oil spill accident. Principal component analysis-multiple linear regression (PCA-MLR) suggested that the transmission from spilled oil, atmospheric deposition, urban runoff, water-air exchange, wastewater treatment plants effluents, water-sediment exchange could be primary PAH contributors, accounting for 21.7%, 21.3%, 20.8%,...
Reforestation has been assumed as a natural solution to recover soil water content, thereby increasing freshwater supply. Mono-plantation of fast-growing species is the first step for performing reforestation prevent frequent and heavy rain-induced landslide in tropics. However, may have negative hydraulic response seasonal drought maintain high growth rate and, thus, make it difficult tropics content. We tested this hypothesis setting involving (a) project, which mono-planted eight tree...
Reforestation is an effective way to alleviate deforestation and its negative impacts on ecosystem services. It widely recognized that the most key step for reforestation using suitable native species, but selecting tree species much more complex challenging than selection of non-native have been used reforestation. Here, we quantify whether ( Bombax ceiba ) can be performing restore a 0.2 km 2 highly degraded tropical monsoon forest in Baopoling Mountain (BPL), Sanya, China, due 20 years...
The recognition of sea ice is great significance for reflecting climate change and ensuring the safety ship navigation. Recently, many deep learning based methods have been proposed applied to segment recognize regions. However, diverse scales areas, zigzag fine edge contours, difficulty in distinguishing different types pose challenges existing models. In this paper, a Global-Local Detail Guided Transformer (GDGT) method optical remote sensing images. GDGT, global-local feature fusiont...