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Evaluation of the AnnAGNPS Model for prediction of runoff and sediment yields in St Lucia watersheds

机译:AnnAGNPS模型的评估,以预测圣卢西亚流域的径流和沉积物产量

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The Annualised Agricultural Non-Point Source Pollution Model (AnnAGNPS) was used to predict runoff and sediment losses from a forested and an agricultural watershed of St. Lucia Island in the Caribbean Digital elevation models (DEM) of the agricultural and forested watersheds were generated from digitised topographic data. Based on the critical source area (CSA) and minimum source channel length (MSCL) specifications, the agricultural watershed was discretised into eight cells and three channel reaches, and the forest watershed into 12 cells and five channel reaches. The weighted curve numbers (CNs) were used for the cells with multiple land uses. The CN was observed to be the most sensitive parameter in the prediction of runoff and was adjusted during calibrations. The calibration runs of the AnnAGNPS resulted in errors between observed and simulated values of 0-33% for the agricultural watershed and 3.3-46.2% for the forested watershed for runoff prediction. The sediment yield prediction error percentage during the calibration run varied from 18.2% to 40.5% for the agricultural watershed and 9.1% to 50% for the forest watershed. However, validation of the calibrated model for different rainfall events resulted in errors of 6.7-36% and a value for the coefficient of prediction (C{sub}(P'A)) of 0.028 (agricultural watershed) and 3.4% to 36% with a value for the C{sub}(P'A) of 0.23 (forested watersheds) for runoff prediction. Validation of sediment loss for both the watersheds resulted in higher errors (23% to 55%) and C{sub}(P'A) value of 0.341 for both the watersheds. Also, the model prediction of average annual runoff and sediment loss revealed that the agricultural watershed sediment loss (73.3tha{sup}(-1) year{sup}(-1)) was significantly higher than for the forest watershed (7.2tha{sup}(-1) year{sup}(-1)). Further, the validated model was used to simulate the runoff and sediment losses under a recommended land management regime for the agricultural watershed, which resulted in an 18.5% reduction in runoff and a 63% reduction in sediment loss as compared to the current management practice. This study revealed that the AnnAGNPS can be successfully applied for assessment of runoff and sediment losses and subsequent land use planning to conserve the natural resources in the watersheds of St. Lucia.
机译:通过使用年度农业面源污染模型(AnnAGNPS)来预测来自加勒比海圣卢西亚岛森林和农业流域的径流和沉积物损失,从中产生了农业和森林流域的数字高程模型(DEM)数字化地形数据。根据关键源区域(CSA)和最小源通道长度(MSCL)规范,将农业流域离散为8个单元和3个通道段,将森林流域离散为12个单元和5个通道段。加权曲线编号(CNs)用于具有多种土地用途的小区。在观测到的径流预测中,CN是最敏感的参数,并在校准过程中对其进行了调整。 AnnAGNPS的校准运行导致农业流域的观测值与模拟值之间的误差在0-33%之间,而在森林流域,用于径流预测的误差在3.3-46.2%之间。对于农业流域,在定标过程中的泥沙产量预测误差百分比在18.2%至40.5%之间,对于森林流域,则为9.1%至50%。但是,对不同降雨事件的校准模型进行验证会导致6.7-36%的误差,预测系数(C {sub}(P'A))的值为0.028(农业分水岭),为3.4%至36%径流预测的C {sub}(P'A)值为0.23(森林流域)。验证两个流域的沉积物流失会导致较高的误差(23%至55%),并且两个流域的C {sub}(P'A)值为0.341。此外,对年均径流量和泥沙流失的模型预测表明,农业流域泥沙流失(73.3tha {sup}(-1)年{sup}(-1))显着高于森林流域(7.2tha { sup}(-1)年{sup}(-1))。此外,在推荐的农业流域土地管理制度下,使用经过验证的模型来模拟径流和泥沙流失,与当前的管理实践相比,可以减少18.5%的径流和63%的泥沙流失。这项研究表明,AnnAGNPS可以成功地用于径流和沉积物损失评估以及随后的土地利用规划,以保护圣卢西亚流域的自然资源。

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