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SIMULATION OF THE HYDROLOGIC EFFECTS OF AFFORESTATION IN THE TACUAREMBO RLVER BASIN, URUGUAY

机译:乌拉圭塔卡马伦博尔弗盆地的造林水文作用模拟

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The Soil and Water Assessment Tool (SWAT) was used to simulate the hydrology of two small paired catchments in northern Uruguay. The control and treatment catchments (69 and 108 ha, respectively) were monitored for a three-year pretreatment period during which the land use was grassland with livestock grazing. Subsequently, the treatmefit catchment was planted (57% afforested) with loblolly pine (Pinus taeda). The objectives of the modeling study were to simulate the hydrologic response of the two catchments during the pretreatment period and predict the hydrologic effects of converting the native pasture to pine plantation. SWAT models of the two catchments were calibrated and validated using data measured during the pretreatment period. The model predicted outflows from the catchments reasonably well as compared to observed outflows during the years with above average rainfall (5% to -13% error). Model efficiency (E) for daily outflow volumes was greater than 0.71, indicating a good fit between simulated and observed results. A 33-year continuous simulation was performed on three land uses: grassland with livestock grazing, grassland without grazing, and pine treatment. The conversion of the catchments from the baseline pasture condition with grazing resulted in a predicted reduction in average annual water yield from the catchments of 15% for native grassland without grazing, and 23% for pine trees. A maximum predicted hydrologic effect was estimated by maximizing the model parameter that increases the ability of pine trees to withdraw water from the ground. For this condition, the model predicted a 30% reduction in mean annual water yield from the afforested catchment.
机译:土壤和水评估工具(SWAT)用于模拟乌拉圭北部两个成对小流域的水文状况。在为期三年的预处理期间,对控制和处理集水区(分别为69和108公顷)进行了监测,在此期间土地用途是放牧的草地。随后,在treatmefit流域种植了火炬松(Pinus taeda)(造林率为57%)。建模研究的目的是在预处理期间模拟两个流域的水文响应,并预测将天然牧场转换为松树人工林的水文效应。使用预处理期间测得的数据对两个流域的SWAT模型进行了校准和验证。与在高于平均降雨量(5%至-13%误差)的年份观测到的流出量相比,该模型可以较好地预测集水区的流出量。每日流出量的模型效率(E)大于0.71,表明模拟结果与观察结果之间的良好拟合。在以下三种土地用途上进行了为期33年的连续模拟:有放牧的草地,没有放牧的草地和松树处理。集水区从基线牧场条件转变为放牧,导致未放牧的天然草地集水区的年平均产水量预计降低了15%,而松树则降低了23%。通过最大化模型参数来估计最大的预测水文作用,该模型参数增加了松树从地面抽水的能力。在这种情况下,该模型预测造林的集水区的年平均水产量降低30%。

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