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Identification of the optimal integration of the hydrologic model with meteorology data using the advanced GIS object-oriented programming

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Abstract

An object-oriented framework called GIS and Hydrologic Information System Modeling Object (GHISMO) that is tightly coupled with a prototype geographic information system (GIS), is presented in this research. The proposed GHISMO framework is used to simulate a hydrologic system on the base of the storage-release concept and with multiple weather data such as gage and NEXRAD data. Both quantitative and qualitative results of simulation for the Pleasant Run Creek and Little Buck Creek watersheds in Indiana (USA) demonstrate the method prospects.

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Authors and Affiliations

  1. Crop Systems and Global Change Laboratory, Agricultural Research Service (ARS), U.S. Department of Agriculture (USDA), Beltsville, MD, 20705, USA

    K. Kang

  2. Wye Research and Education Center, University of Maryland, Queenstown, MD, 21658, USA

    K. Kang

  3. Department of Construction Science and Organizational Leadership, Purdue University Northwest, 2200 169th Street, Hammond, IN, 46323, USA

    J. H. Lee

Authors
  1. K. Kang
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  2. J. H. Lee
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Correspondence to K. Kang.

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Original Russian Text © K. Kang, J.H. Lee, 2017, published in Meteorologiya i Gidrologiya, 2017, No. 1, pp. 101-109.

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Kang, K., Lee, J.H. Identification of the optimal integration of the hydrologic model with meteorology data using the advanced GIS object-oriented programming. Russ. Meteorol. Hydrol. 42, 71–76 (2017). https://doi.org/10.3103/S1068373917010095

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  • DOI: https://doi.org/10.3103/S1068373917010095

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