Simulating daily PM2.5 concentrations using wavelet analysis and artificial neural network with remote sensing and surface observation data
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Title
Simulating daily PM2.5 concentrations using wavelet analysis and artificial neural network with remote sensing and surface observation data
Authors
Keywords
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Journal
Chemosphere
Volume 340, Issue -, Pages 139886
Publisher
Elsevier BV
Online
2023-08-22
DOI
10.1016/j.chemosphere.2023.139886
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Note: Only part of the references are listed.- Dynamic emission characteristics and control strategies of air pollutants from motor vehicles in downtown Beijing, China
- (2023) Yan Shen et al. Journal of Environmental Sciences-China
- Effect of agricultural soil wind erosion on urban PM2.5 concentrations simulated by WRF-Chem and WEPS: A case study in Kaifeng, China
- (2023) Haopeng Zhang et al. CHEMOSPHERE
- A performance comparison study on PM2.5 prediction at industrial areas using different training algorithms of feedforward-backpropagation neural network (FBNN)
- (2023) Pavithra Chinatamby et al. CHEMOSPHERE
- A city-based PM2.5 forecasting framework using Spatially Attentive Cluster-based Graph Neural Network model
- (2023) Subhojit Mandal et al. Journal of Cleaner Production
- A nested machine learning approach to short-term PM2.5 prediction in metropolitan areas using PM2.5 data from different sensor networks
- (2023) Jing Li et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Motion Compensation for Long Integration Times and DoA Processing in Passive Radars
- (2023) Anabel Almodóvar-Hernández et al. Remote Sensing
- Quantification of Gridded Precipitation Products for the Streamflow Simulation on the Mekong River Basin Using Rainfall Assessment Framework: A Case Study for the Srepok River Subbasin, Central Highland Vietnam
- (2023) Thanh-Nhan-Duc Tran et al. Remote Sensing
- Generation of Non-Linear Technique Based 6 Hourly Wind Reanalysis Products Using SCATSAT-1 and Numerical Weather Prediction Model Outputs
- (2023) Suchandra Aich Bhowmick et al. Remote Sensing
- Application of wavelet-packet transform driven deep learning method in PM2.5 concentration prediction: A case study of Qingdao, China
- (2023) Qinghe Zheng et al. Sustainable Cities and Society
- Predicting next hour fine particulate matter (PM2.5) in the Istanbul Metropolitan City using deep learning algorithms with time windowing strategy
- (2023) Beytullah Eren et al. Urban Climate
- A comparative study of data-driven models for runoff, sediment, and nitrate forecasting
- (2023) Mohammad G. Zamani et al. Journal of Environmental Management
- Comparing relationships between urban heat exposure, ecological structure, and socio-economic patterns in Beijing and New York City
- (2023) Jing Wang et al. LANDSCAPE AND URBAN PLANNING
- Prediction method of PM2.5 concentration based on decomposition and integration
- (2023) Hong Yang et al. MEASUREMENT
- Reliability study of generalized Rayleigh distribution based on inverse power law using artificial neural network with Bayesian regularization
- (2023) Andaç Batur Çolak et al. Tribology International
- Enhanced RBF neural network metamodelling approach assisted by sliced splitting-based K-fold cross-validation and its application for the stiffened cylindrical shells
- (2022) Zhixiang Wang et al. AEROSPACE SCIENCE AND TECHNOLOGY
- Predicting annual PM2.5 in mainland China from 2014 to 2020 using multi temporal satellite product: An improved deep learning approach with spatial generalization ability
- (2022) Zhige Wang et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Estimation of Ground PM2.5 Concentrations in Pakistan Using Convolutional Neural Network and Multi-Pollutant Satellite Images
- (2022) Maqsood Ahmed et al. Remote Sensing
- The estimation of hourly PM2.5 concentrations across China based on a Spatial and Temporal Weighted Continuous Deep Neural Network (STWC-DNN)
- (2022) Zhen Wang et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Pressure response using wavelet analysis in the process of hydraulic fracturing: Numerical simulation and field case
- (2022) Xiaodong Hu et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- Prediction of Monthly PM2.5 Concentration in Liaocheng in China Employing Artificial Neural Network
- (2022) Zhenfang He et al. Atmosphere
- Long-term projection of future climate change over the twenty-first century in the Sahara region in Africa under four Shared Socio-Economic Pathways scenarios
- (2022) Qingchun Guo et al. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
- Retrieving global leaf chlorophyll content from MERIS data using a neural network method
- (2022) Mingzhu Xu et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- New PM2.5 forecasting system based on combined neural network and an improved multi-objective optimization algorithm: Taking the economic belt surrounding the Bohai Sea as an example
- (2022) Zhirui Tian et al. Journal of Cleaner Production
- A descriptive analysis of olfactory sensation and memory in Drosophila and its relation to artificial neural networks
- (2022) Chris Rohlfs NEUROCOMPUTING
- Spatiotemporal air quality forecasting and health risk assessment over smart city of NEOM
- (2022) Khalid Elbaz et al. CHEMOSPHERE
- Extraction of multi-scale features enhances the deep learning-based daily PM2.5 forecasting in cities
- (2022) Liang Dong et al. CHEMOSPHERE
- Multi-step forecast of PM2.5 and PM10 concentrations using convolutional neural network integrated with spatial–temporal attention and residual learning
- (2022) Kefei Zhang et al. ENVIRONMENT INTERNATIONAL
- Methods used for handling and quantifying model uncertainty of artificial neural network models for air pollution forecasting
- (2022) Sheen Mclean Cabaneros et al. ENVIRONMENTAL MODELLING & SOFTWARE
- A revision of NASA SeaDAS atmospheric correction algorithm over turbid waters with artificial Neural Networks estimated remote-sensing reflectance in the near-infrared
- (2022) Junwei Wang et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Comparison of PM2.5 prediction performance of the three deep learning models: A case study of Seoul, Daejeon, and Busan
- (2022) Yong-been Kim et al. JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY
- Human migration-based graph convolutional network for PM2.5 forecasting in post-COVID-19 pandemic age
- (2022) Choujun Zhan et al. NEURAL COMPUTING & APPLICATIONS
- Air pollution impacts on public health: Evidence from 110 cities in Yangtze River Economic Belt of China
- (2022) Ting Yang et al. SCIENCE OF THE TOTAL ENVIRONMENT
- AQE-Net: A Deep Learning Model for Estimating Air Quality of Karachi City from Mobile Images
- (2022) Maqsood Ahmed et al. Remote Sensing
- Prediction of the confirmed cases and deaths of global COVID-19 using artificial intelligence
- (2021) Qingchun Guo et al. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
- Multi-directional temporal convolutional artificial neural network for PM2.5 forecasting with missing values: A deep learning approach
- (2021) K. Krishna Rani Samal et al. Urban Climate
- PM2.5 concentration forecasting at surface monitoring sites using GRU neural network based on empirical mode decomposition
- (2021) Guoyan Huang et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Predicting the ground-level pollutants concentrations and identifying the influencing factors using machine learning, wavelet transformation, and remote sensing techniques
- (2021) Zohre Ebrahimi-Khusfi et al. Atmospheric Pollution Research
- Hourly PM2.5 concentration multi-step forecasting method based on extreme learning machine, boosting algorithm and error correction model
- (2021) Shi Yin et al. DIGITAL SIGNAL PROCESSING
- Global PM2.5-attributable health burden from 1990 to 2017: Estimates from the Global Burden of disease study 2017
- (2021) Xiang Bu et al. ENVIRONMENTAL RESEARCH
- Tracking Air Pollution in China: Near Real-Time PM2.5 Retrievals from Multisource Data Fusion
- (2021) Guannan Geng et al. ENVIRONMENTAL SCIENCE & TECHNOLOGY
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- (2021) Xiaohui Li et al. REMOTE SENSING OF ENVIRONMENT
- AR and ARMA model order selection for time-series modeling with ImageNet classification
- (2021) Jihye Moon et al. SIGNAL PROCESSING
- PM2.5 concentrations forecasting in Beijing through deep learning with different inputs, model structures and forecast time
- (2021) Jie Yang et al. Atmospheric Pollution Research
- Forecasting of particulate matter with a hybrid ARIMA model based on wavelet transformation and seasonal adjustment
- (2021) Erdinç Aladağ Urban Climate
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- (2021) Camilo Menares et al. Urban Climate
- A combined forecasting system based on multi-objective optimization and feature extraction strategy for hourly PM2.5 concentration
- (2021) Jianzhou Wang et al. APPLIED SOFT COMPUTING
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- (2021) Mujun Liu et al. EXPERT SYSTEMS WITH APPLICATIONS
- A review on emerging artificial intelligence (AI) techniques for air pollution forecasting: Fundamentals, application and performance
- (2021) Adil Masood et al. Journal of Cleaner Production
- Forecasting air pollutant concentration using a novel spatiotemporal deep learning model based on clustering, feature selection and empirical wavelet transform
- (2021) Jusong Kim et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Quantifying the impacts of PM2.5 constituents and relative humidity on visibility impairment in a suburban area of eastern Asia using long-term in-situ measurements
- (2021) Yu-Chieh Ting et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Remote-Sensing-Based Streamflow Forecasting Using Artificial Neural Network and Support Vector Machine Models
- (2021) Mohammed M. Alquraish et al. Remote Sensing
- A neural network-based method for satellite-based mapping of sediment-laden sea ice in the Arctic
- (2021) Hisatomo Waga et al. REMOTE SENSING OF ENVIRONMENT
- Coupling wavelet transform and artificial neural network for forecasting estuarine salinity
- (2020) Fanhan Zhou et al. JOURNAL OF HYDROLOGY
- Prediction and analysis of PM2.5 in Fuling District of Chongqing by artificial neural network
- (2020) Xianghong Wang et al. NEURAL COMPUTING & APPLICATIONS
- Land-Use Land-Cover Classification by Machine Learning Classifiers for Satellite Observations—A Review
- (2020) Swapan Talukdar et al. Remote Sensing
- Exploring a deep LSTM neural network to forecast daily PM2.5 concentration using meteorological parameters in Kathmandu Valley, Nepal
- (2020) Sandeep Dhakal et al. Air Quality Atmosphere and Health
- Evaluation of gap-filling approaches in satellite-based daily PM2.5 prediction models
- (2020) Qingyang Xiao et al. ATMOSPHERIC ENVIRONMENT
- Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications
- (2020) Jing Wei et al. REMOTE SENSING OF ENVIRONMENT
- Air PM2.5 concentration multi-step forecasting using a new hybrid modeling method: Comparing cases for four cities in China
- (2019) Hui Liu et al. Atmospheric Pollution Research
- Performance comparison of feedforward neural network training algorithms in modelling microwave pyrolysis of oil palm fibre for hydrogen and biochar production
- (2019) Nor Anisa Nasrudin et al. Asia-Pacific Journal of Chemical Engineering
- Prediction of outdoor PM2.5 concentrations based on a three-stage hybrid neural network model
- (2019) Hui Liu et al. Atmospheric Pollution Research
- Comparisons of isomiR patterns and classification performance using the rank-based MANOVA and 10-fold cross-validation
- (2015) Hui Zhang et al. GENE
- Urban air quality and regional haze weather forecast for Yangtze River Delta region
- (2012) Tijian Wang et al. ATMOSPHERIC ENVIRONMENT
- Artificial neural networks for predicting indoor temperature using roof passive cooling techniques in buildings in different climatic conditions
- (2011) Shrikant Pandey et al. APPLIED SOFT COMPUTING
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