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首页> 外文期刊>Journal of the American Water Resources Association >SPATIAL CONSIDERATIONS IN WET AND DRY PERIODS FOR PHOSPHORUS IN STREAMS OF THE FORT COBB WATERSHED, UNITED STATES
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SPATIAL CONSIDERATIONS IN WET AND DRY PERIODS FOR PHOSPHORUS IN STREAMS OF THE FORT COBB WATERSHED, UNITED STATES

机译:美国柯布斯堡水浸流道中磷在湿和干期间的空间注意事项

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The Fort Cobb Watershed in Oklahoma has diverse biogeophysical settings and provides an opportunity to explore the association of water quality with a diverse set of landscapes during both wet (April 2007-December 2009) and dry (January 2005-March 2007) periods. The objective of this work was to identify spatial patterns in phosphorus (P) (soluble reactive P [SRP] and bioavailable P [BAP]) associated with landscape metrics for two distinct streamflow regimes. Spatial autocorrelation of P was evaluated using contiguous (side-by-side) and upstream (upstream:downstream) connectivity matrices. Biogeophysical metrics were compiled for each contributing area, and were partitioned based on association to P concentrations. Results for both SRP and BAP indicated that spatial autocorrelation was present (p < 0.05). There was more spatial autocorrelation and stream P concentrations were three to five times higher in the Wet phase than in the Dry phase (p < 0.05). Analysis with recursive partitioning resulted in higher R~2 with spatial autocorrelation than without spatial autocorrelation and indicated that lateral metrics (topography, soil, geology, management) were better predictors for SRP than instream metrics. During Wet phase, lateral metrics indicative of rapid surface and subsurface water movement were associated with higher P stream concentrations. This research demonstrated that we can detect landscapes more vulnerable to P losses and/or contaminations in either drought or very wet periods.
机译:俄克拉荷马州的科布堡流域具有多种生物地球物理环境,并提供了探索湿润(2007年4月至2009年12月)和干燥(2005年1月至2007年3月)期间水质与多种景观联系的机会。这项工作的目的是确定与景观度量相关的磷(P)(可溶性反应性P [SRP]和生物利用性P [BAP])的空间格局,用于两种截然不同的流态。使用连续(并排)和上游(上游:下游)连接矩阵评估P的空间自相关。针对每个贡献区域编制了生物地球物理指标,并根据与P浓度的关联进行了划分。 SRP和BAP的结果均表明存在空间自相关(p <0.05)。空间自相关性更高,湿相中的流P浓度比干相中高三到五倍(p <0.05)。具有空间自相关的递归分区分析导致R〜2高于没有空间自相关的R〜2,并且表明横向度量(地形,土壤,地质,管理)比流域度量更能预测SRP。在湿润阶段,指示快速地表和地下水运动的横向度量与较高的P流浓度相关。这项研究表明,我们可以在干旱或非常潮湿的时期检测到更容易遭受磷损失和/或污染的景观。

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