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 44 条
[31]   On the development of a new methodology in sub-surface parameterisation on the calibration of groundwater models [J].
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
[32]   Novel approaches in sub-surface parameterisation to calibrate groundwater models [J].
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
[33]  
Klaas D.K.S.Y, 2008, THESIS MONASH U
[34]   Evaluating the impact of grid cell properties in spatial discretization of groundwater model for a tropical karst catchment in Rote Island, Indonesia [J].
Klaas, Dua K. S. Y. ;
Imteaz, Monzur Alam ;
Arulrajah, Arul .
HYDROLOGY RESEARCH, 2017, 48 (06) :1757-1772
[35]  
Klaas DKSY, 2017, HYDROGEOL J, V25, P1703, DOI 10.1007/s10040-017-1590-4
[36]   Development of groundwater vulnerability zones in a data-scarce eogenetic karst area using Head-Guided Zonation and particle tracking simulation methods [J].
Klaas, Dua K. S. Y. ;
Imteaz, Monzur Alam ;
Arulrajah, Arul .
WATER RESEARCH, 2017, 122 :17-26
[37]  
Mahmod WE, 2013, HYDROGEOL J, V21, P1021, DOI 10.1007/s10040-013-0959-2
[38]  
Malik P., 2015, Karst Aquifers - Characterization and Engineering. Professional Practice in Earth Sciences, P205
[39]   Application of MODFLOW for simulating groundwater flow in the Trifilia karst aquifer, Greece [J].
Panagopoulos, Georgios .
ENVIRONMENTAL EARTH SCIENCES, 2012, 67 (07) :1877-1889
[40]  
PAT, 1995, KANTOR PENGELOLAAN A