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首页> 外文期刊>Journal of water resource and protection >Comparison of Potential Bio-Energy Feedstock Production and Water Quality Impacts Using a Modeling Approach
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Comparison of Potential Bio-Energy Feedstock Production and Water Quality Impacts Using a Modeling Approach

机译:使用建模方法比较潜在的生物能源原料生产和水质影响

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Cellulosic and agricultural bio-energy crops can be utilized as feedstock source for bio-fuels production and provide environmental benefits such as hydrology, water quality. This study compared potential feedstock yield and water quality benefit scenarios of six bio-energy crops: Miscanthus (Miscanthus-giganteus), Switchgrass (Panicum virgatum), Johnsongrass (Sorghum halepense), Alfalfa (Medicago sativa L.), Corn (Zea mays), and Soybean {Glycine max (L.) Merr.} at the watershed scale using Soil and Water Assessment Tool (SWAT) model. The SWAT model was calibrated (1998 to 2002) and validated (2003 to 2010) using monthly measured USGS stream flow data. Model was further verified using available monthly sediment yield, and county level NASS corn and soybean yield data within the watershed. The long-term average annual potential feedstock yield as an alternative energy source was determined the greatest when growing Miscanthus grass scenario (21.9 Mg/ha) followed by Switchgrass (15.2 Mg/ha), Johnsongrass (12.1 Mg/ha), Alfalfa (7 Mg/ha), Corn (5.9 Mg/ha), and Soybean (2.35 Mg/ha). Model results determined the least amount of average annual sediment yield (1.1 Mg/ha) from the Miscanthus grass scenario and the greatest amount (12 Mg/ha) from the corn crop scenario. About 11% less annual average surface water flow from the watershed could be anticipated when converting land areas from soybean to Miscanthus grass. The results of this study suggested that growing Miscanthus grass in the UPRW would have the greatest potential feedstock yield and water quality benefits. The results of this study may help in developing future watershed management programs.
机译:纤维素和农业生物能源作物可以用作生产生物燃料的原料,并提供水文,水质等环境效益。这项研究比较了六种生物能源作物的潜在原料产量和水质效益情景:芒草(Miscanthus-giganteus),柳枝((Panicum virgatum),约翰逊草(Sorghum halepense),苜蓿(Medicago sativa L.),玉米(Zea mays) ,以及使用土壤和水评估工具(SWAT)模型在分水岭范围内的大豆{Glycine max(L.)Merr。}。使用每月测得的USGS流量数据对SWAT模型进行了校准(1998年至2002年)和验证(2003年至2010年)。使用可用的每月沉积物产量以及流域内的县级NASS玉米和大豆产量数据进一步验证了模型。在种植芒草(21.9 Mg / ha),其次是柳枝((15.2 Mg / ha),约翰逊草(12.1 Mg / ha),苜蓿(7)时,确定作为替代能源的长期年均潜在原料产量最高。 Mg / ha),玉米(5.9 Mg / ha)和大豆(2.35 Mg / ha)。模型结果确定了来自芒草草场情景的最小年平均沉积物产量(1.1 Mg / ha)和来自玉米作物情景的最大数量(12 Mg / ha)。当将土地面积从大豆转换为芒草时,可以预料流域的年平均地表水流量将减少约11%。这项研究的结果表明,在UPRW中种植芒草将具有最大的潜在原料产量和水质效益。这项研究的结果可能有助于制定未来的流域管理计划。

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