采样频率对中小流域河流中悬浮固体和硝酸盐超标估算精度的影响

IF 3.1 Q2 GEOSCIENCES, MULTIDISCIPLINARY
Junyu Qi , Sheng Li , Glenn Benoy , Zisheng Xing , Lin Gao , Fan-Rui Meng
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引用次数: 0

摘要

利用389平方公里流域及其14.5平方公里子流域的数据,评估了采样频率对河流中悬浮物和硝酸盐氮超标频率(EF)估计精度的影响。在不同阈值浓度下,将17种子采样方案估算的生态足迹值与实际生态足迹值进行了比较。用变异系数和相对偏差来衡量估计精度。结果表明,大流域悬浮物和硝态氮的EFa均明显低于小流域;我们还发现EFa可以建模为阈值浓度的指数函数。对于EF估计,变异系数随采样频率的增加和EFa的增大而减小。当EFa较低或阈值浓度较高时,相对偏倚趋向于负,在某些情况下可达-75%。这一结果表明,基于低频数据的报告EF值可能被严重低估,因为遗漏大事件的可能性很大。然而,也有正相对偏倚的情况,这意味着由于大型事件的过度代表而高估了EF。这些发现可用于确定水质参数的适当采样频率,避免在估计极端污染事件的EF时常见的观察偏差(大多数是负的)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Impacts of sampling frequency on the estimation accuracy of exceedance for suspended solids and nitrates in streams in small to medium-sized watersheds

Data from a 389 km2 watershed and one of its 14.5 km2 subbasins were used to assess the effects of sampling frequency on the estimation accuracy of the exceedance frequency (EF) for suspended solids and nitrate-nitrogen in streams. Values of EF estimated from 17 subsampling schemes were compared with the actual EF (EFa) at different threshold concentrations. The coefficient of variation and relative bias were used to measure the estimation accuracy. Results indicated that the EFa of the larger watershed was much lower than that of the smaller watershed for both suspended solids and nitrate-nitrogen. We also found that EFa can be modeled as an exponential function of the threshold concentration. For the EF estimations, the coefficient of variation decreased with increasing sampling frequency and increasing EFa. The relative bias tended to be negative when EFa was low or the threshold concentration was high, reaching -75% in some cases. This result implies that reported EF values based on low-frequency data could be severely underestimated due to the high possibility of missing large events. However, there were also cases with positive relative bias, implying overestimation of EF due to over representation of large events. These findings can be used to determine adequate sampling frequencies for water-quality parameters, avoiding common observed biases (mostly negative) in the estimation of EF for extreme pollution events.

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来源期刊
Journal of Hydrology X
Journal of Hydrology X Environmental Science-Water Science and Technology
CiteScore
7.00
自引率
2.50%
发文量
20
审稿时长
25 weeks
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