Sökresultat - "ground-level ozone"

Maternal Exposure to Surface Ozone and Reduced Fecundity in China: Evidence from a Nationwide Survey

Li, Qin^aff1, Yang, Rui^{aff1, aff2, aff3, aff4}, Tao, Qingqing^aff1, Wu, Hongping^{aff1, aff2, aff3, aff4}, Xu, Suxin^aff5, Kang, Yuefan^aff6, Cao, Yunxia^aff7, Chen, Xiujuan^aff8, Zhu, Yimin^aff9, Xu, Shuguang^aff10, Chen, Zi-Jiang^aff11, Liu, Ping^{aff1, aff2, aff3}, Li, Rong^{aff1, aff2, aff3}, Qiao, Jie^{aff1, aff2, aff3, aff4}

A Method for Estimating the Total Retrieved Ground Ozone Based on Deep Neural Network

Li, Yanfen, Zhang, Xinyu, Wang, Chenghongyu

2024 4th International Conference on Intelligent Communications and Computing (ICICC)

Artificial Intelligence for Ground-level Ozone Concentration Forecasting Using Data From the Ground Stations of the Abu Dhabi Environment Agency

AlShehhi, F. A., AlShehhi, A. M.

2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)

Machine learning-based modeling of ground level ozone formation in Bangalore and New Delhi cities in India

Meda, Bala Naga Manikanta, Mathew, Aneesh^{Aff1, IDs00477024028456_cor2}, Sarwesh, P., Shekar, Padala Raja, Sharma, Kul Vaibhav

Concurrent heat stress and air pollution episodes by considering future projection of climate change

Tarkan Alisoltani, Majid Shafiepour Motlagh, Khosro Ashrafi

electronic resource

Visa

Evidence for Reducing Volatile Organic Compounds to Improve Air Quality from Concurrent Observations and In Situ Simulations at 10 Stations in Eastern China

Lyu, Xiaopu^aff1, Guo, Hai^aff1, Zou, Qiaoli^{aff2, aff3}, Li, Ke^aff4, Xiong, Enyu^aff1, Zhou, Beining^aff1, Guo, Peiwen^aff1, Jiang, Fei^aff5, Tian, Xudong^{aff2, aff3}

Harnessing open remote sensing data and machine learning for daily ground-level ozone prediction models: Spatio-temporal insights in the continental biogeographical region

Mamić, Luka ^{a, c, ⁎}, Pirotti, Francesco ^{b, c}

Comprehensive 24-hour ground-level ozone monitoring: Leveraging machine learning for full-coverage estimation in East Asia

Kim, Yejin ^a, Park, Seohui ^{b, c}, Choi, Hyunyoung ^a, Im, Jungho ^{a, d, e, ⁎}

Causal-inference machine learning reveals the drivers of China's 2022 ozone rebound

Lin Wang, Baihua Chen, Jingyi Ouyang, Yanshu Mu, Ling Zhen, Lin Yang, Wei Xu, Lina Tang

electronic resource

Visa; Visa

Ozone-induced oxidative stress alleviation by biogenic silver nanoparticles and ethylenediurea in mung bean (Vigna radiata L.) under high ambient ozone

Kannaujia, Rekha^{Aff1, Aff2}, Prasad, Vivek, Pandey, Vivek^{Aff1, Aff3, IDs11356024329177_cor3}

Research on satellite data-driven algorithm for ground-level ozone concentration inversion: case of Yunnan, China

Yu, Weiqiang, Feng, Tao^{Aff1, IDs12145023012114_cor2}, Man, Xingwei, Lin, Huan, Zhang, Haonan, Liu, Rui^{Aff2, IDs12145023012114_cor6}

Spatio-temporal variation and trend analysis of ground-level ozone in major Indian metropolitan cities: A geospatial approach

Moncy, Roshan George, Mathew, Aneesh ^⁎, Shekar, Padala Raja

Cruises

Cruises

Timothy MacNeill

Environmental impacts and policy

MacNeill, Timothy

An Ozone Prediction in Atmosphere in Suzhou Based on Deep Learning

Xie, Zhaoyang^Aff6

Förstner, Ulrich, Series Editor^Aff1, Rulkens, Wim H., Series Editor^Aff2, Abomohra, Abdelfatah, editor^Aff3, Harun, Razif, editor^Aff4, Wen, Jia, editor^Aff5

Urban Air Quality

Pontius, Jennifer^Aff3, McIntosh, Alan^Aff3

Pontius, Jennifer^Aff1, McIntosh, Alan^Aff2

Toward Nature-Positive Manufacturing by Adapting Industrial Processes to Pollution Uptake by Vegetation

Shah, Utkarsh, Bakshi, Bhavik R.

Understanding the variability of ground-level ozone and fine particulate matter over the Tibetan plateau with data-driven approach

Zhong, Haobin ^{a, b, f}, Zhen, Ling ^{b, d}, Yang, Lin ^b, Lin, Chunshui ^e, Yao, Qiufang ^a, Xiao, Yanping ^a, Xu, Qi ^a, Liu, Jinsong ^a, Chen, Baihua ^b, Ni, Haiyan ^{c, ⁎}, Xu, Wei ^{b, d, ⁎⁎}

Ozone exposure alters nutrients and stoichiometric ratios in different organs of four urban tree species despite limited negative effects on leaf physiology and plant growth and biomass

Zhang, Kun^{Aff1, Aff2}, Li, Shenglan^{Aff1, Aff2, Aff3}, Li, Shuangjiang^{Aff1, Aff2, Aff4}, Shang, Bo^{Aff1, Aff2}, Saitanis, Costas J., Xu, Yansen^{Aff1, Aff2}, Fang, Chao^{Aff1, Aff2}, Papadopoulos, George, Feng, Zhaozhong^{Aff1, Aff2}, Agathokleous, Evgenios^{Aff1, Aff2, IDs11676025018230_cor1}

Assessment model of ozone pollution based on SHAP-IPSO-CNN and its application

Zhou, Xiaolei^{Aff1, Aff2}, Wang, Xingyue^{Aff1, Aff2, IDs41598025877024_cor1}, Guo, Ruifeng^{Aff1, Aff2}

Understanding the spatial and seasonal variation of the ground-level ozone in Southeast China with an interpretable machine learning and multi-source remote sensing

Zhong, Haobin ^{a, b, e}, Zhen, Ling ^{b, c, d}, Yao, Qiufang ^{a, e}, Xiao, Yanping ^{a, e}, Liu, Jinsong ^{a, e}, Chen, Baihua ^b, Xu, Wei ^{b, c, d, ⁎}