Nothing Special   »   [go: up one dir, main page]

Li et al., 2023 - Google Patents

Estimation of Near-Ground Ozone with High Spatio-Temporal Resolution in the Yangtze River Delta Region of China Based on a Temporally Ensemble Model

Li et al., 2023

View PDF
Document ID
13401159155922209707
Author
Li Z
Dong H
Zhang Z
Luo L
He S
Publication year
Publication venue
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

External Links

Snippet

Recently, the near-ground ozone pollution has become an important factor restricting economic development and ecological environment protection. Due to the aging equipment of satellite sensors and the limitations of spatial resolution, the current approach utilizing …
Continue reading at ieeexplore.ieee.org (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01W—METEOROLOGY
    • G01W1/00—Meteorology
    • G01W1/10—Devices for predicting weather conditions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063—Operations research or analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"

Similar Documents

Publication Publication Date Title
Gong et al. A typical weather pattern for ozone pollution events in North China
Liu et al. Satellite-based PM2. 5 estimation directly from reflectance at the top of the atmosphere using a machine learning algorithm
Meng et al. Evaluating the spatiotemporal ozone characteristics with high-resolution predictions in mainland China, 2013–2019
Luo et al. Trans-boundary air pollution in a city under various atmospheric conditions
De Marco et al. Ozone modelling and mapping for risk assessment: an overview of different approaches for human and ecosystems health
Levavasseur et al. Statistical modelling of a new global potential vegetation distribution
Dou et al. Estimates of daily ground-level NO2 concentrations in China based on Random Forest model integrated K-means
Cao et al. A long-term analysis of atmospheric black carbon MERRA-2 concentration over China during 1980–2019
Pei et al. Exploring the response of net primary productivity variations to urban expansion and climate change: A scenario analysis for Guangdong Province in China
Mo et al. Daily spatiotemporal prediction of surface ozone at the national level in China: an improvement of CAMS ozone product
Jin et al. Global validation and hybrid calibration of CAMS and MERRA-2 PM2. 5 reanalysis products based on OpenAQ platform
Jiang et al. Vegetation greening intensified transpiration but constrained soil evaporation on the Loess Plateau
Chen et al. Ground-level ozone estimation based on geo-intelligent machine learning by fusing in-situ observations, remote sensing data, and model simulation data
Ryu et al. Long-term evaluation of atmospheric composition reanalyses from CAMS, TCR-2, and MERRA-2 over South Korea: Insights into applications, implications, and limitations
Wang et al. Maximizing ozone control by spatial sensitivity-oriented mitigation strategy in the Pearl River Delta Region, China
Zhou et al. Estimating nitrogen and sulfur deposition across China during 2005 to 2020 based on multiple statistical models
Liu et al. Estimation of surface ammonia concentrations and emissions in China from the polar-orbiting Infrared Atmospheric Sounding Interferometer and the FY-4A Geostationary Interferometric Infrared Sounder
Han et al. Estimation of high-resolution PM2. 5 concentrations based on gap-filling aerosol optical depth using gradient boosting model
Li et al. Trade-offs and synergistic relationships in wind erosion in Central Asia over the last 40 years: A Bayesian Network analysis
Li et al. Interpreting hourly mass concentrations of PM2. 5 chemical components with an optimal deep-learning model
Zhao et al. Spatiotemporal variations in ecological quality of Otindag Sandy Land based on a new modified remote sensing ecological index
Wu et al. Analysis of the gridded influencing factors of the PM2. 5 concentration in Sichuan province based on a stacked machine learning model
Peng et al. Machine learning model to accurately estimate the planetary boundary layer height of Beijing urban area with ERA5 data
Li et al. Estimation of Near-Ground Ozone with High Spatio-Temporal Resolution in the Yangtze River Delta Region of China Based on a Temporally Ensemble Model
Saha et al. Relative impacts of projected climate and land use changes on terrestrial water balance: a case study on Ganga River basin