Article
Environmental Sciences
Vasiliki Dimou, Eleftheria Binopoulou, Chrisovalantis Malesios
Summary: This study investigated the concentration of large-sized particulate matter (PM10) in different seasons, showing a significant increase in PM10 levels during the summer compared to autumn and winter concentrations. The results are important for understanding the seasonal variations in particulate matter concentration.
WATER AIR AND SOIL POLLUTION
(2022)
Article
Computer Science, Information Systems
Uzair Aslam Bhatti, Yuhuan Yan, Mingquan Zhou, Sajid Ali, Aamir Hussain, Qingsong Huo, Zhaoyuan Yu, Linwang Yuan
Summary: As Pakistan's economy, transportation, and industry develop, environmental pollution has become a prominent issue, with air quality in Lahore exceeding national standards. There is a strong correlation between particulate matter and other pollutants, with future predictions showing an increase in PM2.5 concentration.
Article
Environmental Sciences
Seong-Gyu Kim, Gibong Sung, Se-Jin Yook, Minjeong Kim, Duckshin Park
Summary: This study analyzes the PM concentrations in a subway station in Seoul, Korea, considering the arrangement of air-conditioning diffusers and filtration efficiency. The findings provide recommendations for improving air quality in other subway stations.
Article
Environmental Sciences
Hye Kwan Kong, Dan Ki Yoon, Hye Won Lee, Cheol Min Lee
Summary: The study aimed to determine ventilation conditions for managing indoor air quality during cooking in a typical South Korean residential home. The PM10 and PM2.5 concentrations varied depending on ventilation conditions, but were high when inappropriate methods were used. Using appropriate ventilation conditions is effective in reducing PM10 and PM2.5 generated during cooking.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Environmental Sciences
Mariela Lucia Aguilera Sammaritano, Pablo Marcelo Cometto, Daniel Alfredo Bustos, Eduardo Daniel Wannaz
Summary: The study in San Juan city, Argentina, investigated the concentration of PM2.5 and PM10 using Tillandsia capillaris and PM filters as biomonitors, showing a significant positive correlation between atmospheric PM concentration and particles on plant leaves. Principal component analysis revealed three emission sources (soil, vehicular traffic, industry) in the study area.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Environmental Sciences
Maryam Imani
Summary: This study proposes a framework for PM estimation based on satellite images, using deep neural networks to extract the relationship between satellite image bands and PM measurements. The method successfully generates PM2.5 and PM10 maps for Tehran city, offering a simple, low cost, and efficient approach for small-scaled PM generation using MODIS images.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Transportation Science & Technology
David Jesenko, Domen Mongus, Uros Lesnik
Summary: This article examines the indirect impact of the COVID-19 pandemic on air pollution in Maribor, Slovenia. By analyzing traffic data and particulate matter concentrations, the study reveals a slight decrease in particulate matter levels during the lockdown period.
PROMET-TRAFFIC & TRANSPORTATION
(2022)
Article
Multidisciplinary Sciences
Anna Rys, Lucyna Samek, Zdzislaw Stegowski, Katarzyna Styszko
Summary: Observations show that air quality in Krakow has improved in the last decade. The ban on solid fuel usage for heating and the COVID-19 pandemic have significantly affected the levels and composition of PM2.5 particles in the air, leading to a decrease in concentrations and changes in elemental composition.
SCIENTIFIC REPORTS
(2022)
Article
Environmental Sciences
Aleksei Kholodov, Konstantin Kirichenko, Igor Vakhniuk, Anvir Fatkulin, Maria Tretyakova, Leonid Alekseiko, Valeriy Petukhov, Kirill Golokhvast
Summary: This study investigates the concentrations of PM2.5 and PM10 in the air of Nakhodka city in Russia, and finds that the concentrations of particulate matter are elevated in the port and city center areas, posing potential risks to public health.
AEROSOL AND AIR QUALITY RESEARCH
(2022)
Article
Environmental Sciences
Adewale M. Taiwo
Summary: This study calculates the increment of particulate matter (PM) mass and chemical composition at a steelworks complex in Port Talbot, Wales, using wind sector analysis. Results showed that the PM10 data exceeded the WHO limit, and the PM2.5/PM10 ratios varied. Wind-determined profiles provided useful information about tracer elements specific to the steelworks industry. The annual PM steelworks increments at Port Talbot were approximately 2.0 µg/m³.
WATER AIR AND SOIL POLLUTION
(2022)
Article
Nutrition & Dietetics
Seang-Hwan Jung, Kyung-Sook Chung, Chang-Seon Na, Hye-Shin Ahn, Yu-Kyong Shin, Kyung-Tae Lee
Summary: Extracts of Inula japonica and Potentilla chinensis exhibit anti-inflammatory properties and have potential as pharmaceuticals for alleviating airway inflammation diseases caused by air pollutants.
Article
Environmental Sciences
Narendran Sobanapuram Muruganandam, Umamakeswari Arumugam
Summary: With increased industrialization and urbanization, sustainable smart environments are paying more attention to particle matter (PM) forecasts based on artificial intelligence (AI) techniques. This research proposes a new architecture, incorporating stacked long short-term memory networks (SS-LSTM), to accurately predict PM by analyzing historical data and considering the most prevalent pollutants and weather conditions. The suggested SS-LSTM model outperforms traditional machine learning approaches and deep learning models in predicting PM2.5 and PM10.
Article
Environmental Sciences
Md. Arfan Ali, Muhammad Bilal, Yu Wang, Janet E. Nichol, Alaa Mhawish, Zhongfeng Qiu, Gerrit de Leeuw, Yuanzhi Zhang, Yating Zhan, Kuo Liao, Mansour Almazroui, Ramzah Dambul, Shamsuddin Shahid, M. Nazrul Islam
Summary: Rapid industrialization and urbanization have led to significant air pollution in China, with fine and coarse particulate matter being the major contributors. Ground-based measurements at air quality monitoring stations are limited, hindering long-term studies on air pollution impacts. This study evaluated the reliability of CAMS and MERRA-2 datasets against ground-based measurements and provides a baseline document for improving these datasets for local and regional air quality research in China.
ATMOSPHERIC ENVIRONMENT
(2022)
Review
Environmental Sciences
Lisen Lin, Tianyu Li, Mengqi Sun, Qingqing Liang, Yuexiao Ma, Fenghong Wang, Junchao Duan, Zhiwei Sun
Summary: Exposure to PM2.5 and PM10 with per 10 µg/m³ increment could increase the risk of obesity in the global population.
ENVIRONMENTAL RESEARCH
(2022)
Article
Environmental Sciences
Savannah L. Lewis, Lynn M. Russell, John A. McKinsey, William J. Harris
Summary: The Oceano Dunes in California is a natural source of wind-driven dust emissions, primarily consisting of particulate matter (PM) with a particle size larger than 1 μm. To evaluate the impact of reducing PM emissions from the dune area on air quality, samples were collected during high-wind months from 2019 to 2021 to analyze the organic and elemental composition of PM10 and PM2.5. The results suggest that while the contribution of unidentified components from the dunes is relatively high, there is no evidence of toxic substances, indicating that current dust abatement strategies may not significantly improve downwind air quality.
ATMOSPHERIC ENVIRONMENT
(2023)
Article
Environmental Sciences
B. Zhang, S. Wang, Y. Wang
Summary: Understanding future river flood risk is crucial for developing climate change adaptation strategies and enhancing disaster resilience. Through a new approach, this study offers reliable assessments of flood risks in the Guadalupe and Mission river basins in South Texas, projecting more frequent and severe flood events in the region with longer durations and greater discharge volumes, even though the flood peaks may not necessarily increase.
WATER RESOURCES RESEARCH
(2021)
Article
Meteorology & Atmospheric Sciences
B. Zhang, S. Wang
Summary: This study introduces a data-driven framework to emphasize the complex interaction of multiple mechanisms causing extreme storm surges, explicitly addressing uncertainty in the model structure. Through in-depth analysis of extreme storm surge levels observed at two tidal gauging stations in Hong Kong from 1979 to 2018, the framework substantially improves the characterization of extreme storm surges by considering the joint evolution of multiple mechanisms and underlying uncertainties.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2021)
Article
Biodiversity Conservation
Jiafeng Liu, Limin Jiao, Boen Zhang, Gang Xu, Ludi Yang, Ting Dong, Zhibang Xu, Jing Zhong, Zhengzi Zhou
Summary: This study proposed the location centrality index (LCI) and location centrality aggregation index (LCAI) to capture the changes in urban expansion structure and form. In the Wuhan metropolitan area, the expansion structure trended towards decentralization, while the form tended to shift from dispersion to aggregation from 2005 to 2010. The LCI filled a gap in dynamic assessment of urban expansion by explicitly uncovering global structure characteristics, and the LCAI outperformed previous indices in identifying heterogeneous aggregation.
ECOLOGICAL INDICATORS
(2021)
Article
Meteorology & Atmospheric Sciences
B. Zhang, S. Wang, J. Zhu
Summary: This study utilizes Bayesian model averaging to forecast future changes in hydroclimatic regimes over China, revealing that the Bayesian framework improves simulation reliability and accuracy compared to the ensemble mean simulation. It projects substantial increases in drought duration and severity for most areas of China, with the joint risk of drought duration and severity expected to increase under both emission scenarios. The likelihood of extreme droughts is also projected to rise with increasing radiative forcing.
Article
Environmental Studies
Weiqian Lei, Limin Jiao, Gang Xu, Zhengzi Zhou
Summary: This paper conducts a comprehensive scaling analysis of 275 Chinese cities, finding that urban scaling laws can be applied in China, with unique characteristics including super-linear scaling of infrastructure and living facilities. Different-sized cities in developing countries have diverse agglomeration and resource allocation advantages reflected by scaling exponents, with strong regional variations particularly in Northeast China and the Beijing-Tianjin-Hebei Urban Agglomeration. Urban scaling in China provides insights into the uniqueness and coordination of urban development in rapidly urbanising countries, supporting differentiated urban planning for promoting coordinated development.
Article
Construction & Building Technology
Gang Xu, Yuhan Jiang, Shuai Wang, Kun Qin, Jingchen Ding, Yang Liu, Binbin Lu
Summary: The study analyzed self-reported COVID-19 cases in Wuhan, China to explore spatial disparities, finding that factors such as population density, aging rate, and commercial point-of-interests significantly affected case density. The geographically weighted regression model outperformed the ordinary least squares model in identifying influencing factors in different communities.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Remote Sensing
Gang Xu, Wenwu Wang, Dandan Lu, Binbin Lu, Kun Qin, Limin Jiao
Summary: The study found that using a Geographically Weighted Regression model could better explain the impact of Wuhan outflows on COVID-19 cases in other cities, showing that not only cities around Wuhan, but also cities with close connections are more vulnerable.
GEO-SPATIAL INFORMATION SCIENCE
(2022)
Article
Environmental Studies
Weiqian Lei, Limin Jiao, Gang Xu
Summary: This study investigates the scaling relationships between urban land and population in over 500 Chinese cities. The results show that different types of urban land have robust scaling relationships with population, but with different scaling exponents. Industrial land has a faster scaling relationship with population than expected, while other types of urban land exhibit sub-linear relationships. The study also finds that land supply is closely related to housing prices and industrial outputs.
Article
Development Studies
Chao Yang, Wenhao Guo, Chenchen Zhang, Aihong Cui, Xuecao Li, Tianhong Zhao, Huizeng Liu, Tiezhu Shi, Gang Xu, Xu Fang, Xu Liu, Kangyong Zhang, Peng Gong, Qingquan Li, Guofeng Wu
Summary: China's rapid urbanization has caused a significant decrease in cultivated land, posing a threat to future food security. In order to balance the contradiction between urban growth and the protection of flat farmland, the Chinese government has launched pilot projects on hillside urbanization. This study investigates hillside urbanization in China from 2007 to 2017 using earth observation satellite data and spatial analysis techniques. The results show that 12.32% of China's urban expansion area is due to hillside urbanization, with Guizhou, Yunnan, Shanxi, and Fujian having large areas of hillside urbanization. The hillside urbanization rate in China is steadily increasing, with 20% of the hillside urbanization causing high environmental costs.
HABITAT INTERNATIONAL
(2022)
Article
Engineering, Civil
Yangshuo Shen, Shuo Wang, Boen Zhang, Jinxin Zhu
Summary: This paper presents a stochastic hydrological modeling system (SHMS) for improving daily streamflow prediction by explicitly addressing uncertainties in error and model parameters as well as in forcing data and model outputs. The SHMS merges the strengths of the ensemble Kalman filter and the particle filter algorithms for improving the effectiveness and robustness of daily streamflow assimilation. The SHMS has been applied to the Guadalupe River basin located in Texas of the United States to demonstrate feasibility and applicability, and the findings show its superiority over other models.
JOURNAL OF HYDROLOGY
(2022)
Article
Environmental Sciences
Boen Zhang, Shuo Wang, Yamin Qing, Jinxin Zhu, Dagang Wang, Jiafeng Liu
Summary: In this study, a vine copula-based polynomial chaos framework was developed to improve multi-model projections of hydroclimatic regimes. The deep neural network (DNN)-based polynomial chaos expansion (PCE) significantly improved the efficiency of probabilistic hydrologic predictions. The vine copula multi-model ensemble approach robustly combined hydrologic predictions generated from multiple DNN-based PCEs to improve reliability and accuracy. The findings showed that the developed framework and physical models led to consistent projections of future changes in streamflow regimes.
WATER RESOURCES RESEARCH
(2022)
Article
Construction & Building Technology
Gang Xu, Jingling Su, Chang Xia, Xi Li, Rui Xiao
Summary: China's rapid urbanization has led to the expansion of urban land and buildings, but it is unclear whether the physical expansion matches the social and economic activities and vitality of cities. Using Shanghai as an example, this study quantifies urban vitality using nighttime light data and analyzes the spatial correlation between vitality and building morphology. The findings reveal mismatched areas in Shanghai, such as old and resettlement communities with low nighttime light but high building density, and new urban development zones with high nighttime light but low building density. The study concludes that the deterioration of living environment in urban centers hinders local vitality, while infrastructure development in suburbs is crucial for stimulating urban vitality.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Green & Sustainable Science & Technology
Xuerou Weng, Boen Zhang, Jinxin Zhu, Dagang Wang, Jianxiu Qiu
Summary: Soil erosion is a major threat to land conservation, freshwater security, and ocean ecology, which is exacerbated by climate change. Reliably predicting future soil erosion rates and considering anthropogenic influences are crucial in the field of earth-system research. To address this challenge, we developed a novel framework that combines the Bayesian Model Averaging method with the Revised Universal Soil Loss Equation model to estimate erosion rates on a national scale. Our findings reveal that under different climate scenarios, average annual soil loss will increase, with climate change and land-use change having distinct effects on water erosion.
Article
Transportation
Rui An, Zhaomin Tong, Xiaoyan Liu, Bo Tan, Qiangqiang Xiong, Huixin Pang, Yaolin Liu, Gang Xu
Summary: This study focuses on the recovery process within Wuhan, finding that staggered policies implemented in the city had different impacts on various types of recovery. Different areas also responded differently to these policies. The study highlights the innovative policies taken by Wuhan in public health crisis management and provides empirical reference for post-pandemic intervention measures in other cities.
TRAVEL BEHAVIOUR AND SOCIETY
(2023)
Article
Geography, Physical
Yunqi Guo, Limin Jiao, Xianzeng Yang, Jia Li, Gang Xu
Summary: Urban form has a significant impact on the quality of urban functions and the sustainability of urban development. However, unreasonable land expansion in the context of rapid urbanization poses a great challenge to urban management. This study proposes a new land growth simulation model that combines macro- and micro-level dynamics using a soft constraint mechanism. The model achieves high simulation accuracy and imitative ability, as demonstrated in the case of Wuhan, China. The evaluation system developed in this study also shows the high robustness and reliability of the model's future multi-scenario simulation.
GISCIENCE & REMOTE SENSING
(2023)
