基于WRF模型的澎溪河流域非点源污染预测
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X52

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国家自然科学基金(41877531)


Prediction of non-point source pollution in Pengxi River Basin based on WRF model
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    摘要:

    为精准揭示三峡库区澎溪河流域非点源污染的空间异质性特征,基于WRF模型,构建了反映流域3 km×3 km精细格点降水的流域非点源污染模拟预测模型,对澎溪河流域非点源负荷进行模拟预测。结果表明:与由澎溪河流域6个气象站点2009—2012年观测降水资料得到的径流模拟结果相比,基于WRF模型输出降水的径流模拟精度提高了27%,总磷质量浓度模拟精度提高了31%,总氮质量浓度模拟精度提高了36%;采用WRF模型输出降水模拟的年径流量范围为35.28亿~54.04亿m3,总磷负荷均值为1 151.35 t/a,总氮负荷均值为11 759.72 t/a;澎溪河流域总磷、总氮非点源负荷较高的子流域单元多呈集聚状分布在河流水系附近,空间异质性明显。

    Abstract:

    In order to accurately reveal the spatial heterogeneity of non-point source pollution in the Pengxi River Basin of the Three Gorges Reservoir area, this paper establishes a simulation and prediction model for non-point source pollution in the Pengxi River Basin based on the WRF model, which reflects the precipitation on a fine grid with the size of 3 km×3 km. The results show that the simulation accuracy of runoff based on WRF precipitation data is 27% higher than that obtained based on the precipitation data of six meteorological stations in the Pengxi River Basin from 2009 to 2012, and the simulation accuracies of the concentration of total phosphorus(TP)and total nitrogen(TN)are increased by 31% and 36%, respectively. The annual runoff simulated with WRF precipitation data ranges from 3. 528 billion to 5. 404 billion m3, and the average TP and TN loads are 1 151. 35 t/a and 11 759. 72 t/a, respectively. Monitoring data show that the sub-basin units with higher TP and TN non-point source loads in the Pengxi River Basin are concentrated near the river system, with obvious spatial heterogeneity.

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张万顺,卜思凡,彭虹,等.基于WRF模型的澎溪河流域非点源污染预测[J].水资源保护,2022,38(2):160-167.(ZHANG Wanshun, BU Sifan, PENG Hong, et al. Prediction of non-point source pollution in Pengxi River Basin based on WRF model[J]. Water Resources Protection,2022,38(2):160-167.(in Chinese))

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  • 收稿日期:2021-01-18
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  • 在线发布日期: 2022-03-22
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