Preliminary empirical models to predict reductions in total and low flows resulting from afforestation
Preliminary empirical models to predict reductions in total and low flows resulting from afforestation
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作者：
D. Scott;R. E. Smith
提出了造林减少径流量的数学模型。这些模型的目的是帮助决策者和规划者，他们需要在地区或区域范围内评估竞争性土地使用的水需求。五个造林集水实验进行了分析的配对集水方法，以确定减少总流量（年度）和低流量。造林后的百分比减少与桉树和松树的流量确定为每个治疗后的一年相对于预期流量的校准关系与未处理（控制）集水区。我们对这些数据点拟合曲线，以预测在最佳和次佳生长条件下造林的效果。桉树人工林被发现耗尽总流量和低流量更快，数量更大，比松树林。
Mathematical models to predict runoff reductions due to afforestation are presented. The models are intended to aid decision-makers and planners who need to evaluate the water requirements of competing land uses at a district or regional scale. Five afforestation catchment experiments were analysed by the paired catchment method to determine the reductions in both total (annual) and low flows. The percentage reduction in flow after afforestation with both eucalypts and pines was determined for each post-treatment year relative to the expected flow based on a calibration relationship with an untreated (control) catchment. We fitted curves to these data points to predict the effects of afforestation under optimal and sub-optimal growing conditions. Eucalypt plantations were found to deplete both total and low flows sooner and in larger quantities than pine stands.