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2篇 您的检索式:作者名="M.Varga"
    题名 作者 年代 出处 被引量
1GIS based generation of dynamic hydrological and land patch simulation models for rural watershed areas显示文摘This paper introduces a GIS based methodology to generate dynamic process model for the simulation based analysis of a sensitive rural watershed.The Direct Computer Mapping(DCM)based solution starts from GIS layers and,via the graph interpretation and graphical edition of the process network,the expert interface is able to integrate the field experts’knowledge in the computer aided generation of the simulation model.The methodology was applied and tested for the Southern catchment basin of Lake Balaton,Hungary.In the simplified hydrological model the GIS description of nine watercourses,121 water sections,57 small lakes and 20 Lake Balaton compartments were mapped through the expert interface to the dynamic databases of the DCM model.The hydrological model involved precipitation,evaporation,transpiration,runoff,infiltration.The COoRdination of INformation on the Environment(CORINE)land cover based simplified‘‘land patch”model considered the effect of meteorological and hydrological scenarios on freshwater resources in the land patches,rivers and lakes.The first results show that the applied model generation methodology helps to build complex models,which,after validation can support the analysis of various land use,with the consideration of environmental aspects.M.Varga S.Balogh B.Csukas 2016Information Processing in Agriculture2016,3,1:2
2Dynamic simulation based method for the reduction of complexity in design and control of Recirculating Aquaculture Systems显示文摘In this work we introduce the“Extensible Fish-tank Volume Model”that can reduce the complexity in the design and control of the Recirculating Aquaculture Systems.In the developed model we adjust the volume of a single fish-tank to the prescribed values of stocking density,by controlling the necessary volume in each time step.Having developed an advantageous feeding,water exchange and oxygen supply strategy,as well as considering a compromise scheduling for the fingerling input and product fish output,we divide the volume vs.time function into equidistant parts and calculate the average volumes for these parts.Comparing these average values with the volumes of available tanks,we can plan the appropriate grades.The elaborated method is a good example for a case,where computational modeling is used to simulate a‘‘fictitious process model”that cannot be feasibly realized in the practice,but can simplify and accelerate the design and planning of real world processes by reducing the complexity.M.Varga S.Balogh Y.Wei D.Li B.Csukas 2016Information Processing in Agriculture2016,3,3:1
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