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Limiting imperviousness to maintain ecological quality: Are threshold-based policies a good idea?

机译:限制不渗透性以维持生态质量:基于门槛的政策是一个好主意吗?

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The effects of urbanization on flows and water quality within a watershed havebeen documented for some time. Further, many models have been constructed that aresensitive to land use and land use change as predictors to make estimates of the impactsof urbanization. Impervious cover is probably the most basic quantity that can be used toquantify the degree and extent of urbanization across a landscape. Despite the apparentsimplicity of recognizing imperviousness from the ground, measuring this quantity withaccuracy from commonly available GIS-based products is not trivial. The situation isfurther complicated if one takes the perspective of the hydrologist. What imperviousnessvalue should be used in a given analysis method? Is all imperviousness created equally?Here we investigate the several methods for characterizing imperviousness fromseveral perspectives: remote sensor measurement, inference from land use/land cover,and "direct measurement". Our findings indicate that although different methods formeasuring imperviousness are highly correlated, they can differ dramatically in theirmagnitude and there may exist local or systematic biases in the reported values associatedwith any one method. Therefore, if imperviousness values of 10% or greater are aconcern, they are sensitive to the method used.As a final step, we illustrate how different measures of imperviousness canintroduce error into a common hydrologic model – a regression model for peak flowestimation that uses imperviousness as a predictor. Peak discharge estimates generatedfrom one measure of imperviousness averaged only 68.7% of those from a differentmeasure. The implication is that it is imperative that methods for calculating andreporting imperviousness be standardized.
机译:城市化对流域内流量和水质的影响 被记录了一段时间。此外,已经建立了许多模型, 对土地利用和土地利用变化敏感的预测因素来估算影响 城市化。防渗层可能是最基本的数量,可以用来 量化整个景观中城市化的程度和程度。尽管明显 简单地从地面上识别不渗透性,用 通用的基于GIS的产品的准确性并非易事。情况是 如果从水文学家的角度来看,情况将更加复杂。什么不透水 给定的分析方法中应使用什么值?是否所有不透水现象都是平等产生的? 在这里,我们研究了几种表征不渗透性的方法 几个角度:遥感器测量,从土地使用/土地覆盖推断, 和“直接测量”。我们的发现表明,尽管 测量不渗透性是高度相关的,它们的差异可能很大 数量级,并且相关的报告值中可能存在局部或系统性偏差 用任何一种方法。因此,如果不渗透性值为10%或更大,则 关注,他们对所使用的方法很敏感。 作为最后一步,我们说明不渗透性的不同测量方法 将误差引入常见的水文模型中-峰值流量的回归模型 使用不可渗透性作为预测因子的估计。产生峰值排放估算 来自一种不渗透性的测量方法,平均只有来自另一种方法的渗透率的68.7% 措施。含义是,计算和计算的方法势在必行。 报告的不渗透性要标准化。

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