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EVALUATION OF RUNOFF PREDICTION FROM WEPP-BASED EROSION MODELS FOR HARVESTED AND BURNED FOREST WATERSHEDS

机译:基于WEPP的伐木和造林流域侵蚀模型径流预测评估。

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This study evaluates runoff predictions generated by GeoWEPP (Geo-spatial interface to the Water Erosion Prediction Project) and a modified version of WEPP v98.4 for forest soils. Three small (2 to 9 ha) watersheds in the mountains of the interior Northwest were monitored for several years following timber harvest and prescribed fires. Observed climate variables, percent ground cover, soil erodibility values, and GIS-derived slope data were used to drive the models. Predictions of total yearly runoff generated by GeoWEPP (WEPP v2002.7) and the modified WEPP model were compared to total yearly runoff measured at each watershed. In addition, measured seasonal values were compared to the predictions generated by the modified WEPP model. GeoWEPP significantly underpredicted the total yearly runoff for all three sites. The modified WEPP model, with algorithm changes to account for deep percolation and subsurface lateral flow, predicted total yearly runoff for two of the three sites with an index of agreement (d) of 0.8 and 0.9 for each. The third site performed less accurately, with d = 0.3. In the seasonal runoff predictions, the modified WEPP model was most accurate for the spring months (higher runoff) but was a poor predictor for other seasons when the measured runoff rates were low. The GeoWEPP model successfully incorporates digital elevation data, but the WEPP version used to process the data does not adequately represent the hydrological processes of forests. The lateral flow modifications that were added to the WEPP model improved predictions of runoff in forests, thus suggesting that further refinement of these calculations may improve the accuracy of WEPP-based models when applied to forest environments
机译:这项研究评估了GeoWEPP(水蚀预测项目的地理空间界面)和针对森林土壤的WEPP v98.4修改版所生成的径流预测。在木材采伐和规定的大火之后,对西北部内部山区的三个小(2至9公顷)流域进行了监测。使用观测到的气候变量,地表覆盖率,土壤易蚀性值和GIS得出的坡度数据来驱动模型。将GeoWEPP(WEPP v2002.7)和经过修改的WEPP模型生成的年度总径流预测与每个流域测得的年度总径流进行比较。此外,将测得的季节性值与修改后的WEPP模型生成的预测值进行了比较。 GeoWEPP大大低估了这三个地点的年度总径流量。修改后的WEPP模型随着算法的变化以解决深层渗滤和地下侧向流动的问题,预测了三个地点中两个地点的年度总径流量,每个地点的同意指数(d)为0.8和0.9。第三个站点的准确度较低,d = 0.3。在季节性径流预测中,改良的WEPP模型在春季月份(较高的径流)最准确,但在测得的径流率较低时,对于其他季节的预测效果较差。 GeoWEPP模型成功地合并了数字高程数据,但是用于处理数据的WEPP版本并不能充分代表森林的水文过程。添加到WEPP模型中的侧向流修正改进了森林径流的预测,因此表明,当将这些计算方法进一步应用于森林环境时,可能会改进基于WEPP的模型的准确性

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