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Large-scale hydrologic modeling of the Michigan and Wisconsin agricultural regions to study impacts of land use changes.

机译:密歇根州和威斯康星州农业地区的大规模水文模型研究了土地利用变化的影响。

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Hydrologic variables in the Great Lakes region have been altered relative to pre-settlement conditions in response to major land use changes during the past 150 years. One of the goals of the present work is to develop a baseline scenario relative to which the impacts of land use changes on hydrological and environmental processes can be evaluated. In addition, this study can help in quantifying the potential impacts of future projected changes in land use in order to mitigate the negative impacts of these changes, especially in regard to a shift toward urbanization and second-generation bioenergy crop production derived from lignocellulosic crops. The present study explores the relationship between land use changes and hydrologic indicators within the agricultural regions of Michigan and Wisconsin. Two sets of land use data, the circa 1800 county base and the 2001 National Land Cover Dataset, were used to set up the Soil and Water Assessment Tool (SWAT) model. First, sensitivity analyses were performed based on both pre-settlement and current land use scenarios. Results showed that parameter sensitivity analysis may not always explain how the variation in model output can be attributed to different sources of variation in the model input. Therefore, effort should be made to determine the true importance of sensitive parameters by considering their placement in model algorithms. The model was then calibrated against measured daily streamflow data obtained from eight U.S. Geological Survey gauging stations. The impacts of land use changes were studied at three scales: subwatershed, watershed, and basin. At the subwatershed scale, most of the hydrologic behavior can be described by percent change in land cover. However, the trend was more apparent for land use conversion from mixed forest to urban and agriculture lands than for other land use conversions. At the watershed scale, significant differences were observed based on the long-term average hydrologic variables under the current and pre-settlement scenarios. In addition, an increase in evapotranspiration (up to 16.5%) and surface runoff (up to 93.9%) contribution to streamflow, a decrease in recharge to aquifers (up to -51.5%) and baseflow (up to -50.1%), and mixed impacts on water yield (-21.5% to 24.6%) were detected. However, at the basin scale, more than 70% of the study area experienced decreased lateral subsurface flow and recharge to aquifers, while 65% of the area experienced increased overland flow and minor changes in evapotranspiration and water yield.
机译:大湖地区的水文变量已相对于定居前的条件发生了变化,以应对过去150年中主要的土地利用变化。当前工作的目标之一是制定一个基准情景,相对于该基准情景,可以评估土地利用变化对水文和环境过程的影响。此外,这项研究可以帮助量化未来土地利用的预期变化的潜在影响,以减轻这些变化的负面影响,尤其是在向城市化和木质纤维素作物衍生的第二代生物能源作物生产的转变方面。本研究探讨了密歇根州和威斯康星州农业区域内土地利用变化与水文指标之间的关系。使用两组土地使用数据(大约1800个县的基地和2001年国家土地覆盖数据集)来建立土壤和水评估工具(SWAT)模型。首先,根据定居前和当前的土地利用情景进行了敏感性分析。结果表明,参数敏感性分析可能并不总是能解释模型输出的变化如何归因于模型输入的不同变化源。因此,应通过考虑敏感参数在模型算法中的位置来确定敏感参数的真正重要性。然后针对从八个美国地质调查局测得的每日流量数据对模型进行校准。在三个尺度上研究了土地利用变化的影响:分水岭,分水岭和流域。在小流域尺度上,大多数水文行为可以通过土地覆盖率的变化来描述。但是,从混合森林到城市和农业用地的土地利用转换的趋势比其他土地利用的转换更为明显。在分水岭范围内,根据当前和沉降前情景下的长期平均水文变量,观察到了显着差异。此外,蒸散量增加(最多16.5%)和地表径流(最多93.9%)对水流的贡献,对含水层的补给量(最多-51.5%)和基流(最多-50.1%)的减少,以及检测到对水产量的混合影响(-21.5%至24.6%)。但是,在流域尺度上,超过70%的研究区域的横向地下流量减少,并补给了含水层,而65%的研究区域的陆地流量增加了,蒸散量和产水量发生了微小变化。

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