Literature DB >> 23259752

Constraining nitrogen inputs to urban streams from leaking sewers using inverse modeling: implications for dissolved inorganic nitrogen (DIN) retention in urban environments.

Marion T Divers1, Emily M Elliott, Daniel J Bain.   

Abstract

Leaking sewer infrastructure contributes nonpoint nitrogen pollution to groundwater and surface water in urban watersheds. However, these inputs are poorly quantified in watershed budgets, potentially underestimating pollutant loadings. In this study, we used inverse methods to constrain dissolved inorganic nitrogen (DIN) inputs from sewage to Nine Mile Run (NMR), an urban watershed (1570 ha) in Pittsburgh, Pennsylvania (USA) characterized by extensive impervious surface cover (38%). Water samples were collected biweekly over two years and intensive sampling was conducted during one summer storm. A nitrogen budget for the NMR watershed was constructed, ultimately inverted, and sewage DIN inputs constrained using Monte Carlo simulation. Results reveal substantial DIN contributions from sewage ranging from 6 to 14 kg ha-1 yr-1. When conservative estimates of DIN from sewage are included in input calculations, DIN retention in NMR is comparable to high rates observed in other suburban/urban nutrient budgets (84%). These results suggest a pervasive influence of leaking sewers during baseflow conditions and indicate that sewage-sourced DIN is not limited to sewer overflow events. Further, they highlight the importance of sewage inputs to DIN budgets in urban streams, particularly as sewer systems age across the U.S.

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Year:  2013        PMID: 23259752     DOI: 10.1021/es304331m

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  3 in total

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Authors:  Sujay S Kaushal; Kelsey L Wood; Joseph G Galella; Austin M Gion; Shahan Haq; Phillip J Goodling; Katherine A Haviland; Jenna E Reimer; Carol J Morel; Barret Wessel; William Nguyen; John W Hollingsworth; Kevin Mei; Julian Leal; Jacob Widmer; Rahat Sharif; Paul M Mayer; Tamara A Newcomer Johnson; Katie Delaney Newcomb; Evan Smith; Kenneth T Belt
Journal:  Appl Geochem       Date:  2020-08-01       Impact factor: 3.524

2.  In-time source tracking of watershed loads of Taihu Lake Basin, China based on spatial relationship modeling.

Authors:  Ce Wang; Jun Bi; Xu-Xiang Zhang; Qiang Fang; Yi Qi
Journal:  Environ Sci Pollut Res Int       Date:  2018-05-25       Impact factor: 4.223

3.  Influence of infrastructure on water quality and greenhouse gas dynamics in urban streams.

Authors:  Rose M Smith; Sujay S Kaushal; Jake J Beaulieu; Michael J Pennino; Claire Welty
Journal:  Biogeosciences       Date:  2017-06-13       Impact factor: 4.295

  3 in total

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