期刊
JOURNAL OF GREAT LAKES RESEARCH
卷 49, 期 1, 页码 65-81出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.jglr.2022.11.001
关键词
Watershed modelling; CanSWAT; Lake of the Woods watershed; Point and non-point sources; Nutrients loads; Phosphorus
This study evaluates streamflow and phosphorus fluxes variability for the Lake of the Woods watershed using the CanSWAT model. The results show that Rainy River is the primary source of total phosphorus, contributing about 88% of the external non-point source and point source P loads to the lake. A lake mass-balance model suggests that 32-46% of TP load is retained within the lake.
This study provides an evaluation of streamflow and the spatial and temporal variability of phosphorus (P) fluxes for the transboundary Lake of the Woods (LoW) watershed using the Canadian version of the Soil and Water Assessment Tool (CanSWAT). The model calibration and validation generally indicate good performance for the simulated flow, especially for the Rainy River, the main tributary to LoW, while the sediment and nutrient calibration performance was satisfactory. Model results indicated Rainy River is the primary source of total phosphorus (TP), contributing about 88% of the external non-point source (NPS) and point source P loads to LoW, with the majority being NPS. Simulated TP loads varied seasonally with over approximately 60% occurring during the spring period and varied spatially across the LoW watershed. TP yields tended to be lower upstream of Rainy Lake in the Precambrian Shield (a.k.a., Canadian Shield) and higher downstream of Rainy Lake in the Glacial Lake Agassiz lakebed, particularly in the Lower Rainy and Little Fork sub-watersheds. Point sources along the Rainy River constituted the largest anthropogenic TP source. Tributary P loads estimated by the model were also used in a simple lake mass-balance model that suggested 32-46% of TP load to LoW was retained within the lake. Crown Copyright (c) 2022 Published by Elsevier B.V. on behalf of International Association for Great Lakes Research. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/ licenses/by-nc-nd/4.0/).
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据