- Air Quality and Health Impacts
- Bacteriophages and microbial interactions
- Microbial Community Ecology and Physiology
- Air Quality Monitoring and Forecasting
- Cancer Research and Treatments
- Educational Reforms and Innovations
- COVID-19 impact on air quality
- Climate Change and Health Impacts
- Atmospheric chemistry and aerosols
- Antibiotic Resistance in Bacteria
- Pharmaceutical and Antibiotic Environmental Impacts
- Water Treatment and Disinfection
- Membrane Separation Technologies
- Environmental remediation with nanomaterials
- Remote Sensing and LiDAR Applications
- Microplastics and Plastic Pollution
- Plant Micronutrient Interactions and Effects
- Forest Management and Policy
- Educational Games and Gamification
- Automated Road and Building Extraction
- Wildlife-Road Interactions and Conservation
- Urban Transport and Accessibility
- Heavy metals in environment
- Nanoparticles: synthesis and applications
- Technology-Enhanced Education Studies
Southeast University
2024
Beijing Institute of Technology
2023
Imperial College London
2022
Tianjin Renai College
2022
Tsinghua–Berkeley Shenzhen Institute
2021-2022
Tsinghua University
2021-2022
Xinyang Normal University
2022
Tongji University
2022
Sichuan University
2022
Sichuan Normal University
2022
Massive amounts of plastic waste have been released into ecosystems, generating huge microplastics (MPs) and nanoplastics (NPs) during the environmental aging process. However, particle size number dynamics along process not quantitatively assessed, which can greatly influence their fate risk assessment. We applied single inductively coupled plasma mass spectroscopy (spICP-MS) to analyze polystyrene (PS) MPs with a wide range (800 nm–5 μm) as well concentration at an environmentally relevant...
Constructing an ecological security pattern (ESP) is important means to describe, manage, and control security. However, there are few related studies on functional analyses evaluations of landscape elements, the distribution identified elements cannot fully reflect reality. To accurately depict strengthen role planning for policy formulation, we used spatial patterns ecosystem services adjust service value identify sources. The gravity model Centrality Mapper tool build...
Abstract The outbreak of COVID‐19 in China has led to massive lockdowns order reduce the spread epidemic and control human‐to‐human transmission. Subsequent reductions various anthropogenic activities have improved air quality during lockdown. In this study, we apply a widely used exposure‐response function estimate short‐term health impacts associated with PM 2.5 changes over Yangtze River Delta (YRD) region due Concentrations lockdown period reduced by 22.9% 54.0% compared pre‐lockdown...
Machine learning methods for water depth estimation using remote sensing require accurate prior measurements. The successful operation of the ICESat-2 mission provides in shallow directly; however, its spatial coverage is limited. has been used to link optical images and data bathymetric mapping. Compared with other machine models, convolutional neural network (CNN) models utilize local correlation between adjacent pixels can thus reduce effect environmental noise. However, existing CNN rely...
Gamification, the incorporation of game design features into non-game environments, has been implemented in a variety disciplines, including education, sustainability, language learning, and workplace transformation. According to research, gamification enhances employee engagement productivity. The gaming business leveraged incentives motivation drive behavior participation. This literature study assesses gamification's potential as technique for leadership development competency building....
The wide application of nanotechnology has led to the inevitable release and transport metal-based nanoparticles (MNPs) into environment. However, very few studies have examined occurrence MNPs in indoor dust. Here, we report 10 distinct types dust, confirming its carrier role for MNPs. In particular, up ∼4000 μg MNPs/g including Fe-based (∼200 nm, equivalent spherical diameter), were found dust samples collected from both residential public areas. Though exhibited a magnetic response,...
Accurate forecast of PM2.5 pollution is highly needed for the timely prevention haze in many cities suffered from frequent pollution. In this work, an online recurrent extreme learning machine (OR-ELM) technique with data update was used first time, and a hybrid model (OR-ELM-AR) by combining autoregressive (AR) proposed to enhance its ability capture variations hourly concentration. Evaluation performances terms levels, times, spatial distributions were conducted over Yangtze River Delta...
The adaptation of plants to strontium (Sr) stress requires a more systematic understanding. In the present study, morphological and photosynthetic physiological characteristics Vicia faba seedlings under Sr (88Sr, 0–1,000 mg·L−1) were analyzed in solution culture. results showed that treatment decreased biomass root activity V. significantly, but fortunately, there was almost no necrosis. plant morphology, taproot length, lateral number, height, branching number internodes significantly...
The transformation of heavy metal resistance genes (MRGs) in the environment has attracted increasing attention recent years. However, few studies have reported MRG content Yellow River, one main irrigation water sources North China Plain. In this study, we quantified abundance by a metagenomic approach, and assessed influence on MRGs both bioavailable total (HM) content. results indicate that Cu-resistant are most common genes, prevalence arsM needs more attention. Comamonadaceae is...
The fate of antibiotic resistance genes (ARGs) has been revealed in various environmental media recent years. Namely, the emergence that resist colistin and carbapenems attracted wide attention. However, pollution condition ARGs sources Yellow River is still little understood, despite river being second longest China. present study determined levels ARG Henan section evaluated role aquaculture industry spread ARGs. As by results, a total 9 types were detected sediments River, content ranges...
In the recent decade, North China Plain (NCP) has been among region’s most heavily polluted by PM2.5 in China. For nonattainment cities NCP, joint pollution control with related is highly needed addition to emission controls their own cities. However, as basis of decision-making, spatial characteristics these are still insufficiently revealed. this work, all northern part (NNCP) region were revealed based on data mining technologies including clustering, coefficient divergence (COD), network...
In this study, we analyzed several pollution episodes that occurred in the autumn and winter of 2018-2019 using multiple methods including hierarchical clustering analysis, backward trajectory, potential source contribution analysis based on monitored air quality meteorological data. Bengbu, being a representative city to north Yangtze River Delta (YRD) region located heavily polluted area during these two processes, is focus work. The results indicated northern part YRD affected because...