Parameterisation of physical models to configure subsurface characteristics of groundwater basins

被引:6
|
作者
Klaas, Dua K. S. Y. [1 ,2 ]
Imteaz, Monzur [1 ]
Sudiayem, Ika [3 ]
Klaas, Elkan M. E. [3 ]
Klaas, Eldav C. M. [3 ]
机构
[1] Swinburne Univ Technol, Dept Civil & Construct Engn, Melbourne, Vic, Australia
[2] Politekn Negeri Kupang Univ Appl Sci, Dept Civil Engn, Kupang, Indonesia
[3] Klin Garuda, Dept Hlth Sci & Technol, Malang, Indonesia
关键词
Groundwater model; Parameter estimation; Karst catchment;
D O I
10.1016/j.gsd.2019.100255
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Owing to its simple procedures, the Head-guided Zonation (HGZ) method can be applied in parameterisation step of groundwater modelling to configure subsurface characteristics of areas where spatial subsurface data is scarce. This method principally employs accessible groundwater level data to divide the area of interest into several zones, for which values of subsurface properties, i.e. hydraulic conductivity and specific yield are assigned. However, current studies provide no guideline on how to effectively divide the zones using head contours to achieve robust model performance. This paper presents development and performance assessments of four HGZ models using four different contour spacings, 30 m, 40 m, 50m and 60m on an eogenetic karst catchment in Rote Island, Indonesia. For the first time, three user-friendly ratios, 'area - head contour interval (A/ci)', 'x grid length - head contour interval (x(grid)/ci)' and 'y grid length - head contour interval (y(grid)/ci)', are introduced as a basis to effectively divide model domain into zones. This study demonstrates that through proper selection of the three ratios in HGZ method a robust parameterisation of subsurface characteristics in groundwater modelling can be achieved.
引用
收藏
页数:7
相关论文
共 50 条
  • [3] Influence of thermal energy storage basins on the subsurface and shallow groundwater
    Bott, Christoph
    Dahash, Abdulrahman
    Noethen, Maximilian
    Bayer, Peter
    JOURNAL OF ENERGY STORAGE, 2024, 92
  • [4] A view toward the future of subsurface characterization: CAT scanning groundwater basins
    Yeh, Tian-Chyi Jim
    Lee, Cheng-Haw
    Hsu, Kuo-Chin
    Illman, Walter A.
    Barrash, Warren
    Cai, Xing
    Daniels, Jeffrey
    Sudicky, Ed
    Wan, Li
    Li, Guomin
    Winter, C. L.
    WATER RESOURCES RESEARCH, 2008, 44 (03)
  • [6] Novel approaches in sub-surface parameterisation to calibrate groundwater models
    Klaas, D. K. S. Y.
    Imteaz, M. A.
    Sudiayem, I.
    Klaas, E. M. E.
    Klaas, E. C. M.
    3RD INTERNATIONAL CONFERENCE ON WATER RESOURCE AND ENVIRONMENT (WRE 2017), 2017, 82
  • [7] On the development of a new methodology in sub-surface parameterisation on the calibration of groundwater models
    Klaas, D. K. S. Y.
    Imteaz, M. A.
    Sudiayem, I.
    Klaas, E. M. E.
    Klaas, E. C. M.
    1ST INTERNATIONAL CONFERENCE ON ADVANCES IN ENVIRONMENTAL ENGINEERING (AEE 2017), 2017, 92
  • [8] On Groundwater Recharge in Variably Saturated Subsurface Flow Models
    Gong, Chengcheng
    Cook, Peter G.
    Therrien, Rene
    Wang, Wenke
    Brunner, Philip
    WATER RESOURCES RESEARCH, 2023, 59 (09)
  • [9] Determination of subsurface flow characteristics for the installation of groundwater samplers
    Dulaney, WP
    Gish, TJ
    Daughtry, CST
    Doolittle, JA
    Miller, PT
    Kung, KJS
    PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON PRECISION AGRICULTURE, PTS A AND B, 1999, : 383 - 393
  • [10] Effect of climate warming on subsurface temperature in basins with topography-driven groundwater flow
    Zhang, Yi-Peng
    Jiang, Xiao-Wei
    Ge, Shemin
    Zhang, Zhi-Yuan
    Han, Peng-Fei
    Wang, Xu-Sheng
    Wang, Lizhi
    Liu, Qing
    Wan, Li
    JOURNAL OF HYDROLOGY, 2024, 644