Environmental modeling
G.R. Puno; R.A. Marin; R.C.C. Puno; A.G. Toledo-Bruno
Articles in Press, Accepted Manuscript, Available Online from 01 June 2020
Abstract
The study applied the geographic information system interface for the water erosion prediction project, a process-based model, to predict soil erosion and sediment yield from the agricultural watershed of Taganibong. The method involved the preparation of the four input files corresponding to climate, ...
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The study applied the geographic information system interface for the water erosion prediction project, a process-based model, to predict soil erosion and sediment yield from the agricultural watershed of Taganibong. The method involved the preparation of the four input files corresponding to climate, slope, land management, and soil properties. Climate file processing was through the use of a breakpoint climate data generator. The team had calibrated and validated the model using the observed data from the three monitoring sites. Model evaluation showed a statistically acceptable performance with R2 of 0.64 (p=0.042), 0.85 (p=0.000), and 0.69 (p=0.001) at 95% level, for monitoring sites 1, 2, and 3, respectively. A further test revealed a statistically satisfactory model performance with RSR, NSE, and PBIAS of 0.62, 0.61, and 44.30, respectively, for monitoring site 1; 0.65, 0.56, and 25.60, respectively, for monitoring site 2; and 0.60, 0.65, and 27.90, respectively, for monitoring site 3. At a watershed scale, the model predicted the erosion and sediment yield at 89 t/h/y and 22 t/h/y, respectively, which are far beyond the erosion tolerance of 10 t/h/y. The model generated maps that visualize a site-specific hillslope where the problem of erosion has originally occurred. The sediment delivery ratio of 0.20 accounts a total of 126,390 tons of sediments that accumulated at the underlying areas of the watershed in just one year. The study enables the researchers to provide information helpful in the formulation of a sound policy statement for sustainable soil management in the agricultural watershed of Taganibong.
Sustainable agriculture management
T. Kalashnikova; І. Кoshkalda; O. Тrehub
Abstract
The sectoral structure of most agricultural enterprises is unbalanced and uncoordinated, which underlies the need in deepened research of its improvement. This paper is dedicated to the formation and evaluation of the sectoral structure with the use of mathematical methods of data processing. Mathematical ...
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The sectoral structure of most agricultural enterprises is unbalanced and uncoordinated, which underlies the need in deepened research of its improvement. This paper is dedicated to the formation and evaluation of the sectoral structure with the use of mathematical methods of data processing. Mathematical economic modeling based on optimization and simulation models has been applied for the formation and evaluation of sectoral structure in agricultural enterprises. The approbation of the aforementioned models has been carried out in a certain agricultural enterprise. The simulation modeling has been used to develop a production model by the types of products that enterprise does not produce (milk, fish products and honey). The optimization model has been developed taking into account the rational use of the enterprise’s land with the prospect of livestock sector development. Obtaining the maximum net income (proceeds) from products sales has been chosen as the optimality criterion. According to calculations, the maintenance of cows is unprofitable; the production of fish and honey is profitable. Due to the diversification of the sectoral structure, the enterprise’s profitability level will increase from 16.6 to 45.8 percent. The implementation of optimization and simulation models allows to assess the existing level of sectoral structure in agricultural enterprise and to form its optimal sectoral structure with ensuring the rational use of resources and obtaining profit.
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