首页> 外文OA文献 >Validation of an agricultural non-point source (AGNPS) pollution model for a catchment in the Jiulong River watershed, China
【2h】

Validation of an agricultural non-point source (AGNPS) pollution model for a catchment in the Jiulong River watershed, China

机译:九龙江流域集水区农业面源污染模型的验证

摘要

This study tested and evaluated the agricultural non-point source (AGNPS) model for the Wuchuan catchment, a typical agricultural area in the Jiulong River watershed, Fujian Province, China. The AGNPS model was calibrated and validated for the study area with observed data on ten storms. The data on eight storms in 2002 were used for calibration while data on two storms were used for validation of the model. Considering the lack of water quality data over a long-term series, a novel method, comparing an internal nested catchment with its surrounding catchment, was used to supplement the less long-term series data. Dual calibration and validation of the AGNPS model was obtained by this comparison. The results indicate that the correlation coefficients were 0.99 and 0.98 for runoff, 0.94 and 0.95 for the peak runoff rate of the large catchment and the small catchment, respectively, and 0.76 for the sediment of the small catchment only. Each pair of correlation coefficients is homogeneous for the same event for the two catchments. With the exception of the sediment yield and particulate phosphor-us, the peak runoff rate and other nutrients were well predicted. Sensitivity analysis showed that the Soil Conservation Service curve number and rainfall quantity were the most sensitive parameters, which resulted in high output variations. Erosivity and other parameters had little influence on the hydrological and quality outputs.
机译:这项研究测试并评估了吴川流域的农业面源模型(AGNPS),该流域是中国福建省九龙江流域的典型农业区。通过研究区域的十次风暴,对研究区域的AGNPS模型进行了校准和验证。 2002年的八次暴风雨数据用于校准,而两次暴风雨的数据用于模型验证。考虑到缺乏长期序列的水质数据,采用了一种比较内部嵌套流域及其周围流域的新方法,以补充较少长期序列的数据。通过该比较获得了对AGNPS模型的双重校准和验证。结果表明,径流的相关系数分别为0.99和0.98,大流域和小流域的峰值径流率分别为0.94和0.95,而小流域的沉积物仅为0.76。对于两个流域的同一事件,每对相关系数都是同质的。除了沉淀物的产量和颗粒磷的含量,峰值径流率和其他养分都得到了很好的预测。敏感性分析表明,水土保持服务曲线数和降雨量是最敏感的参数,导致产量变化较大。侵蚀性和其他参数对水文和质量产出影响很小。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号