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Impacts of nutrient management and decrease in paddy field area on ground water nitrate concentration: a case study at the Nasunogahara alluvial fan, Tochigi Prefecture, Japan

机译:养分管理和水田面积减少对地下水硝酸盐浓度的影响:以日本To木县那须野原冲积扇为例

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摘要

In order to help evaluate the trends in the NO_3-N concentration in groundwater with a view to preventing further degradation in water quality in the future, a distributed groundwater quality model was constructed for the Nasunogahara basin. The best fit for the groundwater table elevations by the flow component of the model was achieved with average mean absolute errors (MAEs) of 0.92 m for the calibration period and 0.83 m for the validation period. Moreover, the best fit for the NO_3-N concentration by the water quality component was achieved with average mean relative errors (MREs) of 29.8% for the calibration period and 30.3% for the validation period. After developing a robust model, various change scenarios were tested; specifically, the effects of effluent load control and a decrease in paddy field area on the NO_3-N concentration in groundwater were predicted. The most intensively farmed area contributed about 40% of the total effluent load because of livestock farming in the basin. When the effluent load from this area was decreased by 50%, the average NO_3-N concentrations at sites S1, S2 and S3 were reduced by about 15%; however, the average concentrations at S4 and S5 were reduced by only 1%. Furthermore, when the total effluent load from the concentrated livestock area was removed completely, the average groundwater NO_3-N concentrations at S1, S2 and S3 were reduced by about 30% as compared with the original calculated results. In contrast, decreasing the area of the paddy fields in the basin did not greatly influence the groundwater NO_3-N concentration. In the case of a 70% reduction in paddy field area, average NO_3-N concentrations increased by about 7% at S1, S2 and S3.
机译:为了帮助评估地下水中NO_3-N浓度的趋势,以防止将来水质进一步恶化,为Nasunogahara流域建立了分布式地下水质量模型。通过模型的流量分量,最适合地下水位高程,在校准期间平均平均绝对误差(MAE)为0.92 m,在验证期间平均平均绝对误差(MAE)为0.83 m。此外,水质成分对NO_3-N浓度的最佳拟合在校准期间的平均平均相对误差(MRE)为29.8%,在验证期间的平均平均相对误差(MRE)为30.3%。在建立了健壮的模型之后,测试了各种变更方案;具体而言,预测了污水负荷控制和稻田面积减少对地下水中NO_3-N浓度的影响。由于流域内的畜牧业,最密集的养殖区贡献了总废水负荷的40%。当该区域的出水负荷降低50%时,站点S1,S2和S3处的平均NO_3-N浓度降低了约15%。但是,S4和S5处的平均浓度仅降低了1%。此外,当完全去除集中牲畜区的总污水负荷后,与原始计算结果相比,S1,S2和S3处的平均地下水NO_3-N浓度降低了约30%。相反,减少流域稻田面积对地下水中NO_3-N的浓度影响不大。在稻田面积减少70%的情况下,S1,S2和S3的平均NO_3-N浓度增加了约7%。

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