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首页> 外文会议>Flood Forecasting and Water Resources Assessment for IAHS(International Association of Hydrological Sciences)-PUB >Mapping the Average Annual Runoff Depth in Huangshui Watershed Using DEM
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Mapping the Average Annual Runoff Depth in Huangshui Watershed Using DEM

机译：利用DEM绘制Huang水流域年均径流深度图

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We found that precipitation and the surface water flows generally increase with elevation as does the vegetation cover in Huangshui watershed. So we assume that runoff depth increase with elevation and the vegetation cover. Based on this assumption, we revised the runoff depth contour manually created by using Spline interpolation. The runoff depth contour fitted much better after revised. This determined that the geographical variables, such as elevation and vegetation cover, can be used to improve the precision of mapping of runoff depth. To carry it further, we focus on discovering an automatic approach for mapping runoff using geographical variables. Using multiple linear regression technique, we create a regression equation that relates runoff depth to altitude and relative distance from the source of water vapor. Data used for this study include runoff data measured at 13 stations, Landsat TM data and DEM data. We used the runoff data of 13 stations for validation. Comparing with the empirical model used by local water resource survey institutions, the regression approach appears to give more precise results. And it can achieve a similar precision as that from the normal interpolation methods.
机译：我们发现，降水量和地表水流量一般都随着海拔的升高而增加，Huang水流域的植被覆盖也是如此。因此，我们假设径流深度随海拔和植被覆盖而增加。基于此假设，我们修改了使用样条插值法手动创建的径流深度等值线。修改后，径流深度等值线拟合得更好。这确定了诸如海拔和植被覆盖等地理变量可用于提高径流深度的制图精度。为了进一步进行，我们着重于发现一种使用地理变量绘制径流图的自动方法。使用多元线性回归技术，我们创建了一个回归方程，该方程将径流深度与海拔高度以及距水蒸气源的相对距离相关联。本研究使用的数据包括在13个站点测得的径流数据，Landsat TM数据和DEM数据。我们使用了13个站的径流数据进行验证。与当地水资源调查机构使用的经验模型相比，回归方法似乎给出了更精确的结果。而且它可以达到与普通插值方法相似的精度。

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