4.3 Article

Evaluating diffuse and point source phosphorus inputs to streams in a cold climate region using a load apportionment model

期刊

JOURNAL OF GREAT LAKES RESEARCH
卷 47, 期 3, 页码 761-772

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.jglr.2020.05.003

关键词

Nutrient sources; Eutrophication; Lake Winnipeg; Concentration-flow relationships

资金

  1. Environment and Climate Change Canada through the Lake Winnipeg Basin Initiative
  2. National Science Engineering Research Council (NSERC) Visiting Fellowship Award

向作者/读者索取更多资源

This study examined the variation in phosphorus inputs in streams in the Red River Valley through analyzing phosphorus concentration-flow relationships. The results showed that for most sub-watersheds, diffuse sources contributed the most, but significant point-source inputs were also found in some sub-watersheds, especially during summer.
Variation in the timing and quantity of diffuse versus point-source inputs of phosphorus (P) to streams can be evaluated by examining P concentration-flow relationships. Diffuse load inputs usually increase with stream flow (due to increased delivery caused by precipitation); whereas, point-source concentrations decrease with rising river flow (due to increased dilution). This study tested the suitability of a load apportionment model (LAM), a power-law function of flow, to estimate contributions of diffuse and point inputs to P loads for eight sub-watersheds in the Red River Valley, a cold-climate rural region of Manitoba, Canada. For all but two sub-watersheds, annual and seasonal (snowmelt and summer) models of P concentration versus flow best fit a strictly diffuse source contribution. The models identified significant point-source inputs (in addition to diffuse sources) in two sub-watersheds, during summer in both watersheds (consistent with the fact that wastewater from sewage lagoons is discharged to upstream reaches between June and September) and during snowmelt for one watershed. Application of a LAM proved to be a simple and rapid method for nutrient source apportionment as well as detection of unknown sources for cold-climate, rural sub-watersheds. Such information is critical for developing the most effective mitigation strategies to reduce P concentrations and eutrophication risk. Crown Copyright (c) 2020 Published by Elsevier B.V. on behalf of International Association for Great Lakes Research. All rights reserved.

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