Correction to: Comparative analysis of groundwater contaminant sources identification based on simulation optimization and ensemble Kalman filter

被引:0
|
作者
Jiuhui Li
Zhengfang Wu
Hongshi He
Wenxi Lu
机构
[1] Northeast Normal University,Key Laboratory of Geographical Processes and Ecological Security in Changbai Mountains, Ministry of Education, School of Geographical Sciences
[2] University of Missouri,School of Natural Resource
[3] Jilin University,Key Laboratory of Groundwater Resources and Environment, Ministry of Education
[4] Jilin University,College of New Energy and Environment
关键词
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:13862 / 13862
相关论文
共 50 条
  • [31] Identification of Groundwater Pollution Sources by a SCE-UA Algorithm-Based Simulation/Optimization Model
    Huang, Linxian
    Wang, Lichun
    Zhang, Yongyong
    Xing, Liting
    Hao, Qichen
    Xiao, Yong
    Yang, Lizhi
    Zhu, Henghua
    WATER, 2018, 10 (02)
  • [32] Multiscale-finite-element-based ensemble Kalman filter for large-scale groundwater flow
    Shi, Liangsheng
    Zeng, Lingzao
    Zhang, Dongxiao
    Yang, Jinzhong
    JOURNAL OF HYDROLOGY, 2012, 468 : 22 - 34
  • [33] Identification of unknown groundwater pollution sources using classical optimization with linked simulation
    Datta, Bithin
    Chakrabarty, Dibakar
    Dhar, Anirban
    JOURNAL OF HYDRO-ENVIRONMENT RESEARCH, 2011, 5 (01) : 25 - 36
  • [34] Groundwater contaminant source identification based on an ensemble learning search framework associated with an auto xgboost surrogate
    Pan, Zidong
    Lu, Wenxi
    Wang, Han
    Bai, Yukun
    ENVIRONMENTAL MODELLING & SOFTWARE, 2023, 159
  • [35] Characterization of Groundwater Contaminant Sources by Utilizing MARS Based Surrogate Model Linked to Optimization Model
    Hazrati-Yadkoori, Shahrbanoo
    Datta, Bithin
    ADVANCES IN COMPUTER COMMUNICATION AND COMPUTATIONAL SCIENCES, VOL 1, 2019, 759 : 153 - 162
  • [36] Identification of contaminant sources in a water-distribution system using an optimization-simulation method
    Guan, J
    Aral, MM
    Maslia, ML
    Environmental Exposure and Health, 2005, 85 : 149 - 159
  • [37] Joint identification of contaminant source and dispersion coefficients based on multi-observed reconstruction and ensemble Kalman filtering
    Jing, Li
    Kong, Jun
    Pan, Mingjie
    Zhou, Tong
    Xu, Teng
    STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2024, 38 (09) : 3565 - 3585
  • [38] Characterization of reservoir simulation models using a polynomial chaos-based ensemble Kalman filter
    Saad, George
    Ghanem, Roger
    WATER RESOURCES RESEARCH, 2009, 45
  • [39] Identification of Geologic Fault Network Geometry by Using a Grid-Based Ensemble Kalman Filter
    Sun, Alexander Y.
    JOURNAL OF HAZARDOUS TOXIC AND RADIOACTIVE WASTE, 2011, 15 (04) : 228 - 233
  • [40] CHARACTERIZATION OF GROUNDWATER POLLUTION SOURCES BY KRIGING BASED LINKED SIMULATION OPTIMIZATION
    Chakraborty, Anirban
    Prakash, Om
    INTERNATIONAL JOURNAL OF GEOMATE, 2021, 20 (81): : 79 - 85