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Predicting the impacts of climate change on nonpoint source pollutant loads from agricultural small watershed using artificial neural network

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Journal of Environmental Sciences 2010年第6期22卷 840-845页

作者： Eunjeong Lee Chounghyun Seong hakkwan kim Seungwoo Park Moonseong Kang Department of Landscape Architecture and Rural Systems Engineering Research Institute for Agricultural & Life Sciences Seoul National University

This study described the development and validation of an artificial neural network （ANN） for the purpose of analyzing the effects of climate change on nonpoint source （NPS） pollutant loads from agricultural small watershed. The runoff discharge was estimated using ANN algorithm. The performance of ANN model was examined using observed data from study watershed. The simulation results agreed well with observed values during calibration and validation periods. NPS pollutant loads were calculated from load-discharge relationship driven by long-term monitoring data. LARS-WG （Long Ashton Research Station-Weather Generator） model was used to generate rainfall data. The calibrated ANN model and load-discharge relationship with the generated data from LARS-WG were applied to analyze the effects of climate change on NPS pollutant loads from the agricultural small watershed. The results showed that the ANN model provided valuable approach in estimating future runoff discharge, and the NPS pollutant loads.

关键词： artificial neural network climate change LARS-WG nonpoint source pollution runoff

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Cost analysis model for catalytic conversion of syngas in to light hydrocarbon gases

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Information Processing in Agriculture 2015年第1期2卷 37-50页

作者： Yangyang Deng Prem B.Parajuli hakkwan kim Department of Agricultural and Biological Engineering Mississippi State UniversityMississippi StateMS 39762United States

Bio-gasification is a new technology and considered as a more efficient way to utilize *** economic feasibility becomes one of the greatest issues when we apply this new *** of economic feasibility of a bio-gasification facility needs better understanding of its production unit cost under different capacities and different working shift *** objective of this study was to evaluate the unit cost of biofuel products(Liquid HCs,Light HCs and Oxygenates CxHyOz)under different capacities using a modeling *** cost analysis model was developed using Visual Basic Microsoft 2008,computer programming language and mathematical *** modeling results showed that the unit costs of biofuel product from bio-gasification facility were significantly affected by production capacities of *** the facility capacity increased from 65 to 10,000 N m^3 h^-1,the biofuel production unit cost of gas(Light HCs),oil(Liquid HCs),and aqueous(Oxygenates CxHyOz)decreased from$38.92 per MMBTU,$30.89 per gallon and$25.74 per gallon to$2.01 per MMBTU,$1.59 per gallon,and$1.33 per gallon,*** results of the sensitivity analysis showed that feedstock cost was the most sensitive cost factor on unit costs for all biofuel products at high *** cost analysis model developed in this study could be used to optimize production unit costs of bio-fuel products from bio-gasification facility.

关键词： Biofuel Bio-gasification Cost analysis model Production capacity Unit cost

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