FARM MODEL – MODFLOW OWHM – Think out of Box

It is my pleasure to have a groundwater modeling course with Wolfgang Schmid - one of the main contributor of MODFLOW - 2005, most well - known groundwater model worldwide in general, which is authorized by USGS. He is also the main developer of the Farm Process package in MODFLOW - 2005. Well, it is … Continue reading FARM MODEL – MODFLOW OWHM – Think out of Box

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Hydrologic modelling in QGIS – Demo

I am going write about how to run Python script in QGIS to conduct simulation of hydrologic model. The implemented model is infiltration model Green - Ampt model (GA, more information) Input values: Soil input data (hydraulic conductivity, soil moisture content, matrix pressure at the wetting point) Time - dependence data (precipitation rate, time) Software: … Continue reading Hydrologic modelling in QGIS – Demo

Difference between IDW and Kriging – Variogram graph

IDW: globally, is considered globally interpolated method.Why ? The value of pixel is calcualteed based on the relationship between all points. Kriging: locally, caculated based on the value of closer (neighbour) points inside a specific range. It include not only the values of points but also geographically relationship between them. This approach is calculated based … Continue reading Difference between IDW and Kriging – Variogram graph

Geostatistics – Step by step

Softwares: QGIS 2.18 R with Rstudio graphical interface (Be cautious if you using Ubuntu 16.04, please link to this link to fix the problem: https://stackoverflow.com/questions/46289630/trouble-getting-latest-version-of-gdal-on-ubuntu-running-r) Spatial interpolation Load rewat_camp_06_18.shp in QGIS 2.18 Firstly, before interpolation, we should conduct basic statistical analysis for the datasets by using Basic statistics for numeric fields in Processing Toolbox. Select … Continue reading Geostatistics – Step by step