Department of Geography, Virginia Tech, Blacksburg, VA 24061, USA.
Environ Manage. 2013 Jan;51(1):59-69. doi: 10.1007/s00267-012-9903-9. Epub 2012 Jul 13.
In the Laurentian Great Lakes Basin (GLB), corn acreage has been expanding since 2005 in response to high demand for corn as an ethanol feedstock. This study integrated remote sensing-derived products and the Soil and Water Assessment Tool (SWAT) within a geographic information system (GIS) modeling environment to assess the impacts of cropland change on sediment yield within four selected watersheds in the GLB. The SWAT models were calibrated during a 6 year period (2000-2005), and predicted stream flows were validated. The R(2) values were 0.76, 0.80, 0.72, and 0.81 for the St. Joseph River, the St. Mary River, the Peshtigo River, and the Cattaraugus Creek watersheds, respectively. The corresponding E (Nash and Sutcliffe model efficiency coefficient) values ranged from 0.24 to 0.79. The average annual sediment yields (tons/ha/year) ranged from 0.12 to 4.44 for the baseline (2000 to 2008) condition. Sediment yields were predicted to increase for possible future cropland change scenarios. The first scenario was to convert all "other" agricultural row crop types (i.e., sorghum) to corn fields and switch the current/baseline crop rotation into continuous corn. The average annual sediment yields increased 7-42 % for different watersheds. The second scenario was to further expand the corn planting to hay/pasture fields. The average annual sediment yields increased 33-127 % compared with baseline conditions.
在北美五大湖流域(GLB),自 2005 年以来,由于对玉米作为乙醇原料的高需求,玉米种植面积不断扩大。本研究通过整合遥感衍生产品和土壤和水评估工具(SWAT),并在地理信息系统(GIS)建模环境中进行,以评估耕地变化对 GLB 四个选定流域泥沙产量的影响。SWAT 模型在 6 年期间(2000-2005 年)进行了校准,并对预测的水流进行了验证。圣约瑟夫河、圣玛丽河、佩什蒂戈河和卡特拉格斯溪流域的 R(2) 值分别为 0.76、0.80、0.72 和 0.81。相应的 E(纳什和苏特克里夫模型效率系数)值范围为 0.24 至 0.79。在基线(2000 年至 2008 年)条件下,年平均泥沙产量(吨/公顷/年)范围为 0.12 至 4.44。预测泥沙产量将因未来可能的耕地变化情景而增加。第一个情景是将所有“其他”农业种植作物(如高粱)转换为玉米田,并将当前/基线作物轮作改为连续玉米。不同流域的年平均泥沙产量增加了 7-42%。第二个情景是进一步扩大玉米种植面积到干草/牧场。与基线条件相比,年平均泥沙产量增加了 33-127%。