Space-time chlorophyll-a retrieval in optically complex waters that accounts for remote sensing and modeling uncertainties and improves remote estimation accuracy

J He, Y Chen, J Wu, DA Stow, G Christakos - Water research, 2020 - Elsevier
Remote sensing reflectance (Rrs) values measured by satellite sensors involve large
amounts of uncertainty leading to non-negligible noise in remote Chlorophyll-a (Chl-a) …

[HTML][HTML] Estimating PM2. 5 concentration using the machine learning GA-SVM method to improve the land use regression model in Shaanxi, China

P Zhang, W Ma, F Wen, L Liu, L Yang, J Song… - Ecotoxicology and …, 2021 - Elsevier
With rapid economic growth, urbanization and industrialization, fine particulate matter with
aerodynamic diameters≤ 2.5 µm (PM 2.5) has become a major pollutant and shows …

[HTML][HTML] A new method for interpolation of missing air quality data at monitor stations

C Xu, J Wang, M Hu, W Wang - Environment International, 2022 - Elsevier
Studies in environmental fields often suffer from air quality datasets incomplete at certain
places and times. Here, a Spatial-Temporal Point Interpolation based on Biased Sentinel …

Spatiotemporal estimation of the PM2. 5 concentration and human health risks combining the three-dimensional landscape pattern index and machine learning …

P Zhang, L Yang, W Ma, N Wang, F Wen, Q Liu - Environmental Research, 2022 - Elsevier
PM 2.5 pollution endangers human health and urban sustainable development. Land use
regression (LUR) is one of the most important methods to reveal the temporal and spatial …

[HTML][HTML] Spatiotemporal BME characterization and mapping of sea surface chlorophyll in Chesapeake Bay (USA) using auxiliary sea surface temperature data

J He, G Christakos, J Wu, M Li, J Leng - Science of the Total Environment, 2021 - Elsevier
Improving the spatiotemporal coverage of remote sensing (RS) products, such as sea
surface chlorophyll concentration (SSCC), can offer a better understanding of the …

Retrieval of hourly PM2. 5 using top-of-atmosphere reflectance from geostationary ocean color imagers I and II

H Choi, S Park, Y Kang, J Im, S Song - Environmental Pollution, 2023 - Elsevier
To produce real-time ground-level information on particulate matter with a diameter equal to
or less than 2.5 μm (PM 2.5), many studies have explored the applicability of satellite data …

ResInformer: residual transformer-based artificial time-series forecasting model for PM2. 5 concentration in three major Chinese cities

MAA Al-qaness, A Dahou, AA Ewees, L Abualigah… - Mathematics, 2023 - mdpi.com
Many Chinese cities have severe air pollution due to the rapid development of the Chinese
economy, urbanization, and industrialization. Particulate matter (PM2. 5) is a significant …

Exploring the association of PM2.5 with lung cancer incidence under different climate zones and socioeconomic conditions from 2006 to 2016 in China

B Guo, Q Gao, L Pei, T Guo, Y Wang, H Wu… - … Science and Pollution …, 2023 - Springer
Air pollution generated by urbanization and industrialization poses a significant negative
impact on public health. Particularly, fine particulate matter (PM2. 5) has become one of the …

Higher ecological risks and lower bioremediation potentials identified for emerging OPEs than legacy PCBs in the Beibu Gulf, China

L Zhang, L Ni, H Wang, Z Zhang, Y Wu, R Jia… - Environmental …, 2023 - Elsevier
The production and use of organophosphate esters (OPEs) as substitutes for traditional
halogenated flame retardants is increasing, resulting in greater global concern related to …

Bayesian maximum entropy

J He, G Christakos - Encyclopedia of Mathematical Geosciences, 2023 - Springer
X-Ray computed tomography (CT) can visualize the internal structures of any material in
three dimensions. Due to its capability of 3D visualization in a non-destructive fashion, it has …