Reply to discussion of ‘Study of the spatial distribution of groundwater quality using soft computing and geostatistical models’ by Reza Barati

被引:2
|
作者
Maroufpoor S. [1 ]
Shiri J. [2 ]
机构
[1] Department of Irrigation and Reclamation Engineering, University of Tehran, Tehran
[2] Department of Water Engineering, Faculty of Agriculture, University of Tabriz, Tabriz
来源
Maroufpoor, Saman (saman.maroofpoor@gmail.com) | 1600年 / Taylor and Francis Ltd.卷 / 26期
关键词
ANN; Co-Kriging; electrical conductivity; Kriging;
D O I
10.1080/09715010.2018.1474389
中图分类号
学科分类号
摘要
First of all, the authors thank the distinguished discusser for providing helpful comments on the original paper. But the following answers and explanations are essential. © 2018, © 2018 Indian Society for Hydraulics.
引用
收藏
相关论文
共 50 条
  • [31] Towards sustainable industrial development: modelling the quality, scaling potential and corrosivity of groundwater using GIS, spatial statistics, soft computing and index-based methods
    Agbasi, Johnson C.
    Abu, Mahamuda
    Egbueri, Johnbosco C.
    ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2024,
  • [32] Temporal and spatial estimation of groundwater electrical conductivity using soft computing approaches: analysis of East Azerbaijan Province, Iran
    Zamanzad-Ghavidel, Sarvin
    Sobhani, Reza
    Fazeli, Sina
    Noto, Leonardo Valerio
    De Michele, Carlo
    Pumo, Dario
    WATER SUPPLY, 2023, 23 (08) : 3453 - 3475
  • [33] Spatial Mapping and Prediction of Groundwater Quality Using Ensemble Learning Models and SHapley Additive exPlanations with Spatial Uncertainty Analysis
    Yang, Shilong
    Luo, Danyuan
    Tan, Jiayao
    Li, Shuyi
    Song, Xiaoqing
    Xiong, Ruihan
    Wang, Jinghan
    Ma, Chuanming
    Xiong, Hanxiang
    WATER, 2024, 16 (17)
  • [34] A comparison between ten advanced and soft computing models for groundwater qanat potential assessment in Iran using R and GIS
    Seyed Amir Naghibi
    Hamid Reza Pourghasemi
    Karim Abbaspour
    Theoretical and Applied Climatology, 2018, 131 : 967 - 984
  • [35] A comparison between ten advanced and soft computing models for groundwater qanat potential assessment in Iran using R and GIS
    Naghibi, Seyed Amir
    Pourghasemi, Hamid Reza
    Abbaspour, Karim
    THEORETICAL AND APPLIED CLIMATOLOGY, 2018, 131 (3-4) : 967 - 984
  • [36] A Comparative Study on Regression Models of GPS GDOP Using Soft-Computing Techniques
    Wu, Chih-Hung
    Su, Wei-Han
    2009 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3, 2009, : 1513 - +
  • [37] Optimal sizing and sitting of DG with load models using soft computing techniques in practical distribution system
    Bohre, Aashish Kumar
    Agnihotri, Ganga
    Dubey, Manisha
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2016, 10 (11) : 2606 - 2621
  • [38] Determination of temporal and spatial variability of groundwater irrigation quality using geostatistical techniques on the coastal aquifer of Carsamba Plain, Turkey, from 1990 to 2012
    Arslan, Hakan
    ENVIRONMENTAL EARTH SCIENCES, 2017, 76 (01)
  • [39] Geostatistical analysis using GIS for mapping groundwater quality: case study in the recharge area of Wadi Usfan, western Saudi Arabia
    Kuswantoro Marko
    Nassir S. Al-Amri
    Amro M. M. Elfeki
    Arabian Journal of Geosciences, 2014, 7 : 5239 - 5252
  • [40] Geostatistical analysis using GIS for mapping groundwater quality: case study in the recharge area of Wadi Usfan, western Saudi Arabia
    Marko, Kuswantoro
    Al-Amri, Nassir S.
    Elfeki, Amro M. M.
    ARABIAN JOURNAL OF GEOSCIENCES, 2014, 7 (12) : 5239 - 5252