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Distributed versus Lumped Optimization of Cropping Pattern and Water Resources Utilization

Agricultural Sciences 2014年第4期5卷 257-269页

作者： Mohammad Mehdi Ghasemi Mohammad Karamouz lee teang shui Department of Biological and Agricultural Engineering University Putra Malaysia Serdang Selangor Malaysia Polytechnic Institute of NYU New York USA University of Tehran Tehran Iran

Several whole-farm agro-economic optimization models have been developed to deal with lumped planning issues in the agriculture sector. However, these models cannot be used to devise appropriate management strategies at land parcel level, because of the differences between farm characteristics, and the increased complexity of the hydrological processes. Based on Spatial Farm Database (SFD) which is consisted of a number of farm-level spatial data, including location, paddock properties, owner specifications and budgets, it is possible to provide the farm manager with some suggestions regarding the optimal choice of crops and the area to be allocated for each one. To this end, genetic algorithm is used in order to cope with model nonlinearity and a large number of decision variables. In order to test the proposed model, the Mobarakabad district is modeled with 126 agriculture fields, and the optimization model is run for this area. Results showed that the optimization procedure can find more realistic farm-level optimal solutions due to its advantage in adequate modeling of field characteristics, common groundwater resources, and the associated constraints. The results of lumped optimizations could also be used as benchmarks for the purposes of comparison and interpretation.

关键词： Lumped and Distributed Optimization Cropping Pattern Water Resources

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Incorporation of GIS Based Program into Hydraulic Model for Water Level Modeling on River Basin

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Journal of Water Resource and Protection 2012年第1期4卷 25-31页

作者： Ali Haghizadeh lee teang shui Majid Mirzaei Hadi Memarian 不详

Water resources management usually requires that hydraulic, ecological, and hydrological models be linked. The Hy- drologic Engineering Center River Analysis System (HEC-RAS) hydraulic model and the Hydrologic Engineering Center Geospatial River Analysis System (HEC-GEORAS), imitates flow and water profiles in the Neka river basin’s downstream flood plain. Hydrograph phases studied during the flood seasons of 1986-1999 and from 2002-2004 were used to calibrate and verify the hydraulic model respectively. Simulations of peak flood stages and hydrographs’ evaluations are congruent with studies and observations, with the former showing mean square errors between 4.8 - 10 cm. HECRAS calculations and forecast flood water levels. Nash-Sutcliffe effectiveness (CR3) is more than 0.92 along with elevated levels of water which were created with some effectiveness (CR5) of 0.94 for the validation period. The coupled two models show good performance in the water level modeling.

关键词： HEC-RAS HEC-GEORAS Nash-Sutcliffe Neka River Water Level Modeling

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