Estimating the vertical profile of water quality variables in reservoirs: Application of remotely sensed data and machine learning techniques

被引:0
|
作者
Shahi, Farnaz Sadat [1 ]
Nikoo, Mohammad Reza [2 ]
Vanda, Sadegh [3 ]
Nehi, Sadegh Mishmast [1 ]
Kerachian, Reza [1 ]
机构
[1] School of Civil Engineering, College of Engineering, University of Tehran, Tehran, Iran
[2] Department of Civil and Architectural Engineering, Sultan Qaboos University, Muscat, Oman
[3] Department of Civil and Environmental Engineering, School of Engineering, Shiraz University, Shiraz, Iran
关键词
Compendex;
D O I
10.1016/j.scitotenv.2024.177543
中图分类号
学科分类号
摘要
Data quality
引用
收藏
相关论文
共 50 条
  • [31] Understanding spatial variations of malaria in Vietnam using remotely sensed data integrated into GIS and machine learning classifiers
    Quang-Thanh Bui
    Quoc-Huy Nguyen
    Van Manh Pham
    Minh Hai Pham
    Anh Tuan Tran
    [J]. GEOCARTO INTERNATIONAL, 2019, 34 (12) : 1300 - 1314
  • [32] Application of wavelet theory to enhance the performance of machine learning techniques in estimating water quality parameters (case study: Gao-Ping River)
    Chen, Tzu-Chia
    [J]. WATER SCIENCE AND TECHNOLOGY, 2023, 87 (05) : 1294 - 1315
  • [33] Improving Water Quality Index prediction for water resources management plans in Malaysia: application of machine learning techniques
    Khozani, Zohreh Sheikh
    Iranmehr, Milad
    Mohtar, Wan Hanna Melini Wan
    [J]. GEOCARTO INTERNATIONAL, 2022, 37 (25) : 10058 - 10075
  • [34] Estimating Soil Quality Indicators Using Remote Sensing Data: An Application of Machine Learning Regression Models
    Diaz-Gonzalez, Freddy A.
    Vallejo, Victoria E.
    Vuelvas, Jose
    Patino, Diego
    [J]. 2023 IEEE 6TH COLOMBIAN CONFERENCE ON AUTOMATIC CONTROL, CCAC, 2023, : 38 - 43
  • [35] Utilizing machine learning techniques for enhanced water quality monitoring
    Yigit, Gozde Ozsert
    Baransel, Cesur
    [J]. WATER QUALITY RESEARCH JOURNAL, 2024,
  • [36] Analysis of Suitable Machine Learning Imputation Techniques for Arthritis Profile Data
    Ramasamy, Uma
    Santhoshkumar, Sundar
    [J]. IETE JOURNAL OF RESEARCH, 2024, 70 (01) : 334 - 355
  • [37] Estimating the water quality index based on interpretable machine learning models
    Yang, Shiwei
    Liang, Ruifeng
    Chen, Junguang
    Wang, Yuanming
    Li, Kefeng
    [J]. WATER SCIENCE AND TECHNOLOGY, 2024, 89 (05) : 1340 - 1356
  • [38] DOWNSCALING AND EVALUATION OF EVAPOTRANSPIRATION USING REMOTELY SENSED DATA AND MACHINE LEARNING ALGORITHMS (STUDY AREA: MOGHAN PLAIN, IRAN)
    Abadi, L. Hossein
    Aghighi, H.
    Matkan, A.
    Shakiba, A.
    [J]. ISPRS GEOSPATIAL CONFERENCE 2022, JOINT 6TH SENSORS AND MODELS IN PHOTOGRAMMETRY AND REMOTE SENSING, SMPR/4TH GEOSPATIAL INFORMATION RESEARCH, GIRESEARCH CONFERENCES, VOL. 10-4, 2023, : 295 - 300
  • [39] Long-term precipitation prediction in different climate divisions of California using remotely sensed data and machine learning
    Majnooni, Shabnam
    Nikoo, Mohammad Reza
    Nematollahi, Banafsheh
    Fooladi, Mahmood
    Alamdari, Nasrin
    Al-Rawas, Ghazi
    Gandomi, Amir H.
    [J]. HYDROLOGICAL SCIENCES JOURNAL, 2023, 68 (14) : 1984 - 2008
  • [40] Long-Term Hindcasts of Wheat Yield in Fields Using Remotely Sensed Phenology, Climate Data and Machine Learning
    Evans, Fiona H.
    Shen, Jianxiu
    [J]. REMOTE SENSING, 2021, 13 (13)