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在基流和暴雨条件下嵌套农业流域中过量磷和溪流沉积物的驱动因素。

Drivers of excess phosphorus and stream sediments in a nested agricultural catchment during base and stormflow conditions.

机构信息

Dep. of Geography and Environmental Studies, Ryerson Univ., 350 Victoria St., Toronto, ON, M5B 2K3, Canada.

Dep. of Chemistry and Biology, Ryerson Univ., 350 Victoria St., Toronto, ON, M5B 2K3, Canada.

出版信息

J Environ Qual. 2020 Jul;49(4):945-960. doi: 10.1002/jeq2.20105. Epub 2020 Jun 23.

Abstract

A variety of landscape and hydrological characteristics influence nutrient concentrations and suspended sediments in freshwater systems, yet the combined influence of these characteristics within nested agricultural catchments is still poorly understood, particularly across varying flow states. To tease apart potential drivers at within-catchment scales, it is necessary to sample at a spatiotemporal resolution that captures how landscape drivers change with time. The overall objective of this study was to evaluate the relative influence of landscape and hydrological characteristics at sub-catchment scales in relation to total P (TP), soluble reactive P (SRP), the ratio of SRP and TP (SRP/TP), and total suspended solids (TSS) across varying flow conditions. Synoptic surveys were conducted at 13 longitudinal sampling sites under a variety of flow conditions (n = 14) between 2016 and 2017 in the Innisfil Creek watershed, southern Ontario. The surveys were grouped into baseflow and stormflow conditions, and partial least squares regression (PLSR) was used to characterize the relationships between catchment characteristics, median concentrations of P, and TSS. Soil texture (i.e., clay dominated), winter wheat (Triticum aestivum L.), and constructed drain density had the largest influences on stormflow SRP and SRP/TP ratios, but measures of soil erosion, like the Bank Erosion Hazard Index and sinuosity, had the largest influence on stormflow TSS. During baseflow periods, these landscape characteristics were not informative, and they were difficult to tie to in-stream conditions. Overall, our PLSR models indicated that buried tile drainage was a major source of SRP in Innisfil Creek, whereas bank erosion was a dominant source of TSS.

摘要

各种景观和水文特征影响着淡水系统中的养分浓度和悬浮泥沙,但在嵌套的农业流域内,这些特征的综合影响仍知之甚少,尤其是在不同的水流状态下。为了梳理出流域内尺度上的潜在驱动因素,有必要以时空分辨率进行采样,以捕捉景观驱动因素随时间的变化。本研究的总体目标是评估在不同水流条件下,亚流域尺度上的景观和水文特征对总磷(TP)、可溶解性反应磷(SRP)、SRP 与 TP 的比值(SRP/TP)和总悬浮固体(TSS)的相对影响。2016 年至 2017 年期间,在安大略省南部的因尼斯菲尔溪流域,在各种水流条件下(n=14),在 13 个纵向采样点进行了同步调查。这些调查分为基流和暴雨流条件,偏最小二乘回归(PLSR)用于描述流域特征、P 浓度中值和 TSS 之间的关系。土壤质地(即粘土占主导地位)、冬小麦(Triticum aestivum L.)和人工排水渠密度对暴雨流 SRP 和 SRP/TP 比值的影响最大,但土壤侵蚀的度量,如岸坡侵蚀危险指数和弯曲度,对暴雨流 TSS 的影响最大。在基流期间,这些景观特征没有信息性,也难以与溪流条件联系起来。总的来说,我们的 PLSR 模型表明,埋藏式排水渠是因尼斯菲尔溪 SRP 的主要来源,而岸坡侵蚀是 TSS 的主要来源。

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