Risk assessment of PM2.5 pollution based on machine learning and nonparametric estimation.

被引:0
|
作者
Zhou, Qi [1 ,2 ]
Yu, Yang [3 ]
Liu, Miao-Miao [1 ]
Bi, Jun [1 ]
机构
[1] State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing,210023, China
[2] School of Environment, Tsinghua University, Beijing,100084, China
[3] Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing,100084, China
关键词
Compendex;
D O I
暂无
中图分类号
学科分类号
摘要
Risk assessment
引用
收藏
页码:3554 / 3560
相关论文
共 50 条
  • [1] PM2.5 and O3 concentration estimation based on interpretable machine learning
    Wang, Siyuan
    Ren, Ying
    Xia, Bisheng
    [J]. ATMOSPHERIC POLLUTION RESEARCH, 2023, 14 (09)
  • [2] Deep Ensemble Machine Learning Framework for the Estimation of PM2.5 Concentrations
    Yu, Wenhua
    Li, Shanshan
    Ye, Tingting
    Xu, Rongbin
    Song, Jiangning
    Guo, Yuming
    [J]. ENVIRONMENTAL HEALTH PERSPECTIVES, 2022, 130 (03)
  • [3] PM2.5 Concentration Estimation Based on Image Quality Assessment
    Yang, Benqian
    Chen, Qiang
    [J]. PROCEEDINGS 2017 4TH IAPR ASIAN CONFERENCE ON PATTERN RECOGNITION (ACPR), 2017, : 676 - 681
  • [4] ESTIMATION OF ATMOSPHERIC PM2.5 BASED ON PHOTOS AND DEEP LEARNING
    Tan, Siyu
    Yuan, Qiangqiang
    [J]. 2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022), 2022, : 7984 - 7987
  • [5] Estimation of PM10 and PM2.5 Using Backscatter Coefficient of Ceilometer and Machine Learning
    Kim, Bu-Yo
    Cha, Joo Wan
    Lee, Yong Hee
    [J]. AEROSOL AND AIR QUALITY RESEARCH, 2023, 23 (12)
  • [6] Comment on "Deep Ensemble Machine Learning Framework for the Estimation of PM2.5 Concentrations"
    Stafoggia, Massimo
    Cattani, Giorgio
    Ancona, Carla
    Gasparrini, Antonio
    Ranzi, Andrea
    [J]. ENVIRONMENTAL HEALTH PERSPECTIVES, 2022, 130 (06)
  • [7] Temporal heterogeneity in the performance of machine learning models for PM2.5 concentration estimation
    Li, Peizheng
    Huang, Shiqi
    Luo, Chenxi
    Li, Xiangying
    Zhang, Qingyu
    Wang, Jing
    Yang, Can
    Yang, Haomin
    Liao, Jianpeng
    Chen, Qihao
    Ma, Lu
    [J]. PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2024, 189 : 977 - 984
  • [8] Death Effects Assessment of PM2.5 Pollution in China
    Xie, Zhixiang
    Qin, Yaochen
    Zhang, Lijun
    Zhang, Rongrong
    [J]. POLISH JOURNAL OF ENVIRONMENTAL STUDIES, 2018, 27 (04): : 1813 - 1821
  • [9] Machine Learning Based Prediction of PM 2.5 Pollution Level in Delhi
    Mehrotra, Apurv
    Krishna, R. Jaya
    Sharma, Devi Prasad
    [J]. ADVANCES IN COMPUTING AND INTELLIGENT SYSTEMS, ICACM 2019, 2020, : 105 - 113
  • [10] Estimation of PM2.5 Concentrations in New York State: Understanding the Influence of Vertical Mixing on Surface PM2.5 Using Machine Learning
    Hung, Wei-Ting
    Lu, Cheng-Hsuan
    Alessandrini, Stefano
    Kumar, Rajesh
    Lin, Chin-An
    [J]. ATMOSPHERE, 2020, 11 (12) : 1 - 21