Design and integration of a GIS-based data model for the regional hydrologic simulation in Meijiang watershed, China

This paper presents the design and integration of a GIS-based data model for the regional hydrologic simulation in the Meijiang watershed, China. Hydrologic systems (HS) require integration of data and models simulating different processes. Here, an object-oriented approach using Unified Modeling Language (UML) is introduced, which supports the development of GIS-based Geodatabase model—GeoHydro/DataBase (GH/DB). Spatial data, such as basins, stream network, and observation stations are stored in the feature classes. The time series and their attributes are included in the tables. Relationship classes are used to link associated objects. The new development within the scientific program OpenGeoSys (OGS) is the integration of GH/DB into the numerical simulations. The graphical user interface is implemented for the pre- and post-processing of the simulation. As for the case study, a regional hydrologic model is developed in the Meijiang watershed area for the understanding of water infiltration from surface into groundwater via soil layer with various time scales. The integration of databases and modeling tool represents the comprehensive hydrosystems and thus it is a useful tool to understand the different processes and interactions between the related hydrological compartments.

[1]  Keith C. Clarke,et al.  Geographic Information Systems and Environmental Modeling , 2001 .

[2]  R. Rigon,et al.  GEOTOP: A Hydrological Balance Model: Technical Description and Programs Guide,Version 0.75 , 2004 .

[3]  Olaf Kolditz,et al.  Erratum to: International viewpoint and news: data and modelling platforms in environmental Earth sciences , 2012, Environmental Earth Sciences.

[4]  Thomas C. Winter,et al.  Relation of streams, lakes, and wetlands to groundwater flow systems , 1999 .

[5]  O. Kolditz,et al.  Non-isothermal two-phase flow in low-permeable porous media , 2003 .

[6]  Olaf Kolditz,et al.  Non-isothermal flow in low permeable porous media: a comparison of Richards’ and two-phase flow approaches , 2010 .

[7]  Hui Lin,et al.  Virtual Geographic Environments (VGEs): A New Generation of Geographic Analysis Tool , 2013 .

[8]  Walter J. Rawls,et al.  USE OF SOIL TEXTURE, BULK DENSITY, AND SLOPE OF THE WATER RETENTION CURVE TO PREDICT SATURATED HYDRAULIC CONDUCTIVITY , 1998 .

[9]  Olaf Kolditz,et al.  Assessing measurement uncertainty of first‐order degradation rates in heterogeneous aquifers , 2006 .

[10]  Vladan Babovic,et al.  Towards the hydraulics of the hydroinformatics era , 2001 .

[11]  W. G. Gray,et al.  Computational methods in water resources X , 1994 .

[12]  L. A. Richards.  Capillary conduction of liquids through porous mediums , 1931 .

[13]  Kumar Avinash,et al.  Integration of hydrological factors and demarcation of groundwater prospect zones: insights from remote sensing and GIS techniques , 2013, Environmental Earth Sciences.

[14]  Mustafa M. Aral,et al.  River networks and groundwater flow: a simultaneous solution of a coupled system , 2005 .

[15]  M. Woldenberg,et al.  Spatial Order in Fluvial Systems: Horton's Laws Derived from Mixed Hexagonal Hierarchies of Drainage Basin Areas , 1969 .

[16]  Sven Kralisch,et al.  Preface Model integration and development of modular modelling systems , 2005 .

[17]  Xueping Chen,et al.  Spatial distribution, source analysis, and ecological risk assessment of DDTs in typical wetland surface soils of Poyang Lake , 2013, Environmental Earth Sciences.

[18]  Olaf Kolditz,et al.  Hybrid analytical and finite element numerical modeling of mass and heat transport in fractured rocks with matrix diffusion , 2009 .

[19]  S. Hagemann,et al.  On the contribution of statistical bias correction to the uncertainty in the projected hydrological cycle , 2011 .

[20]  Steven T. Bednarz,et al.  LARGE AREA HYDROLOGIC MODELING AND ASSESSMENT PART II: MODEL APPLICATION 1 , 1998 .

[21]  Yaolong Zhao,et al.  GIS and ANN-based spatial prediction of DOC in river networks: a case study in Dongjiang, Southern China , 2013, Environmental Earth Sciences.

[22]  Olaf Kolditz,et al.  Numerical simulation of reactive processes in an experiment with partially saturated bentonite. , 2006, Journal of contaminant hydrology.

[23]  M. Sophocleous.  Interactions between groundwater and surface water: the state of the science , 2002 .

[24]  Jochen Albrecht,et al.  Implementing a new data model for simulating processes , 2005, Int. J. Geogr. Inf. Sci..

[25]  Cui Chen.  Integrating GIS methods for the analysis of GeoSystems , 2006 .

[26]  Wenqing Wang,et al.  OpenGeoSys: an open-source initiative for numerical simulation of thermo-hydro-mechanical/chemical (THM/C) processes in porous media , 2012, Environmental Earth Sciences.

[27]  D. Maidment.  Arc hydro : GIS for water resources , 2002 .

[28]  Tadashi Tanaka,et al.  SOIL WATER CHARACTERISTICS OF KANTO LOAM , 1981 .

[29]  F. Blumensaat,et al.  Coupling hydrogeological with surface runoff model in a Poltva case study in Western Ukraine , 2012, Environmental Earth Sciences.

[30]  R. Dubayah,et al.  Simulating watershed runoff with a new data model , 2007 .

[31]  L. R. Ahuja,et al.  Infiltration and soil water movement , 1992 .

[32]  Olaf Kolditz,et al.  The IWAS-ToolBox: Software coupling for an integrated water resources management , 2012, Environmental Earth Sciences.

[33]  Olaf Kolditz,et al.  Surface‐subsurface model intercomparison: A first set of benchmark results to diagnose integrated hydrology and feedbacks , 2014 .

[34]  Hui Lin,et al.  Prototyping an open environment for sharing geographical analysis models on cloud computing platform , 2013, Int. J. Digit. Earth.

[35]  K. Saxton,et al.  The SPAW Model for Agricultural Field and Pond Hydrologic Simulation , 2006 .

[36]  P. Sreekanth,et al.  Drainage morphometry and its influence on hydrology in an semi arid region: using SRTM data and GIS , 2013, Environmental Earth Sciences.

[37]  Hui Lin,et al.  Real-Geographic-Scenario-Based Virtual Social Environments: Integrating Geography with Social Research , 2013 .

[38]  S. Hagemann,et al.  Assessment of impact of climate change on the blue and green water resources in large river basins in China , 2015, Environmental Earth Sciences.

[39]  Olaf Kolditz,et al.  VISLab – Laboratory for Scientific Visualization , 2014 .

[40]  Yang Liu,et al.  Challenges and opportunities of German-Chinese cooperation in water science and technology , 2015, Environmental Earth Sciences.

[41]  History and Evolution of Watershed Modeling Derived from the Stanford Watershed Model , 2005 .

[42]  W. Rawls,et al.  Estimating generalized soil-water characteristics from texture , 1986 .

[43]  O. Kolditz,et al.  A REGIONAL HYDROLOGICAL SOIL MODEL FOR LARGE-SCALE APPLICATIONS : COMPUTATIONAL CONCEPT AND IMPLEMENTATION , 2009 .

[44]  Olaf Kolditz,et al.  Numerical analysis of coupled hydrosystems based on an object-oriented compartment approach , 2008 .

[45]  Björn Zehner,et al.  TESSIN VISLab—laboratory for scientific visualization , 2014, Environmental Earth Sciences.

[46]  Arlen W. Harbaugh,et al.  MODFLOW-2000, The U.S. Geological Survey Modular Ground-Water Model - User Guide to Modularization Concepts and the Ground-Water Flow Process , 2000 .

[47]  O. Kolditz,et al.  3-D numerical evaluation of density effects on tracer tests. , 2005, Journal of contaminant hydrology.

[48]  Thomas Kalbacher,et al.  Visual data exploration for hydrological analysis , 2012, Environmental Earth Sciences.

[49]  S. Attinger,et al.  Catchments as reactors: a comprehensive approach for water fluxes and solute turnover , 2013, Environmental Earth Sciences.