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首页> 外文期刊>Environmental Modelling & Software >Development and evaluation of targeted marginal land mapping approach in SWAT model for simulating water quality impacts of selected second generation biofeedstock
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Development and evaluation of targeted marginal land mapping approach in SWAT model for simulating water quality impacts of selected second generation biofeedstock

机译:在SWAT模型中开发和评估目标边际土地制图方法,以模拟所选第二代生物原料的水质影响

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摘要

Information about location of marginal lands in a watershed is of interest to those who view these areas as potential land for producing biofuel crops. However, representing marginal lands into a distributed model such as the Soil and Water Assessment Tool (SWAT) is a challenge due to a rigid framework used for watershed sub-division. In this study, we developed a Geographic Information System (GIS) based approach for implementing targeted land use i.e. marginal lands into the SWAT model and evaluated the applicability of the approach on a 8-digit Hydrologic Unit Code (HUC) watershed scale. Comparative results showed that conventional targeting approach overestimates the benefit of targeting marginal lands for Alamo switchgrass (Panicum virgatum, L) and giant miscanthus (Miscanthus x giganteus) production due to simulation of larger area under marginal land category. Compared to baseline condition, which corresponds to no biofuel crop production on marginal lands, the pollutant losses under new targeting approach with simulation of Alamo switchgrass and giant miscanthus on marginal lands were substantially lower. The new targeting approach advances the science behind landscape representation in the SWAT model that has potential to be used in future targeting studies. (C) 2015 Elsevier Ltd. All rights reserved.
机译:那些将这些地区视为生产生物燃料作物的潜在土地的人感兴趣的是有关流域边缘土地位置的信息。然而,由于用于流域细分的刚性框架,将边缘土地表示为诸如土壤和水评估工具(SWAT)之类的分布式模型是一个挑战。在这项研究中,我们开发了一种基于地理信息系统(GIS)的方法,用于将目标土地用途(即边际土地)实施到SWAT模型中,并在8位水文单位代码(HUC)分水岭规模上评估了该方法的适用性。比较结果表明,由于模拟了边缘土地类别下的较大面积,传统的靶向方法高估了针对阿拉莫柳枝switch(Panicum virgatum,L)和巨型猕猴(Miscanthus x giganteus)生产的边缘土地的优势。与基准条件相比,在边缘土地上没有生物燃料作物的生产,相比之下,在边缘土地上模拟阿拉莫柳枝switch和巨型桔梗的新目标方法下的污染物损失要低得多。新的目标定位方法推动了SWAT模型中景观表征背后的科学发展,这种潜力可能会在未来的目标定位研究中使用。 (C)2015 Elsevier Ltd.保留所有权利。

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