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(a) Dominant anthropogenic sources of nitrogen to surface water for HUC 8 (Hydrologic Unit Code) watersheds. BNF denotes biological nitrogen fixation. (b) Atmospheric nitrogen deposition expressed as a percentage (0 to 100%) of all anthropogenic nitrogen inputs. Source: Compton et al. 20

(a) Dominant anthropogenic sources of nitrogen to surface water for HUC 8 (Hydrologic Unit Code) watersheds. BNF denotes biological nitrogen fixation. (b) Atmospheric nitrogen deposition expressed as a percentage (0 to 100%) of all anthropogenic nitrogen inputs. Source: Compton et al. 20

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Excess nitrogen and phosphorus (i.e., nutrients) environmental loadings continue to affect ecosystem function and human health across the U.S. Our ability to connect atmospheric inputs of nutrients to aquatic endpoints remains limited due to uncoupled air and water quality monitoring. Where connections exist, the information provides insights about...

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... persistent hypoxic zone in the Gulf of Mexico was the size of New Jersey in 2017, the largest in the 15-year record. 10 The U.S. Environmental Protection Agency's Science Advisory Board recently concluded a national strategy integrating air and water monitoring is needed to understand sources, transport, and fate of excess nutrients. 11 Atmospheric deposition dominates nitrogen inputs to surface waters over much of the conterminous U.S. 12 ( Figure 1). Atmo- spheric deposition physically delivers nitrogen and phosphorus to land and water surfaces by wet (e.g., rain, snow) and dry (e.g., gases and particulates) processes. ...

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... Lag times between nutrient inputs and chlorophyll concentration in this study system remains an area of current research (e.g., Balint et al., 2021;Oviatt et al., 2022), and future work should utilize high temporal resolution water, sediment, and atmospheric flux measurements to further investigate the potential relationship between water column inorganic nitrogen concentration, NH 3(g) concentration, and NH 3(g) flux. Co-located deposition and water quality monitoring would provide information on source allocation, trends, risk to sensitive ecosystems, and efficacy of pollution reduction efforts (Amos et al., 2018). Interestingly, NH 3(g) flux and concentration were not correlated with environmental variables such as wind speed, wind direction, air temperature, water temperature, or time (from both seasonal and diurnal perspectives) (Table S5 and Figure S3 in Supporting Information S1). ...
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... While spatial variation in the stream NO 3 − concentration is frequently attributed to land use (van Breemen et al. 2002) and/or geology (Holloway et al. 1998) in the watershed, the effect of such variables was not significant in our watersheds. In addition, other factors affecting the NO 3 − concentration such as climatic condition (Watmough et al. 2004), nitrogen deposition (Nishina et al. 2017;Amos et al. 2018), and forest age (Pardo et al. 1995;Tokuchi and Fukushima 2009) are almost the same within the range of our study watersheds. While the excretion of nitrogen from benthos was in the form of NH 4 + , we assume that NH 4 + Content courtesy of Springer Nature, terms of use apply. ...
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... In contrast, we observed that the concentration of chlorophyll a decreased in the water extracts of PM 2.5 samples when the experiment was on. The levels of chlorophyll a in the water extracts of PM 2.5 samples with four levels of aerosol acidity (in situ pH: 2.8, 3.1, 3.5, 3.8) were measured at scheduled times (2,4,6,8,10,12,14,16,18,20,22,24,30,36,42,48,54, and 60 h) (Figure 2A). Soon after, mixing levels of chlorophyll a were observed to decrease by 20−40% following exposures to water extracts of PM 2.5 samples with different levels of aerosol acidities. ...
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... Despite this, there are limited atmospheric measurements of NH 3 concentrations and fluxes in coastal areas of the Eastern and Mid-Atlantic U.S (Amos et al., 2018;Larsen et al., 2001;Poor et al., 2001;Siefert et al., 2002). The few experimental studies in the literature used a combination of conventional air sampling techniques such as annular denuders, filter packs, and passive filter badges to calculate the NH 3 concentrations. ...
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... We also did not include total P atmospheric deposition as an input. In some areas (e.g., pristine forests) these flows may have significant effects on (and sometimes complex interactions with) water quality (Amos et al., 2018;Stoddard et al., 2016). We also did not consider N fixation by red alder trees or nutrient sources from runoff and erosion from non-agricultural lands (e.g., bedrock, forest, urban runoff), which have been shown to be important sources in some parts of the Pacific Northwest U.S. (Compton et al., 2003;Wise & Johnson, 2013). ...
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... The abundance, diversity, and nutrient sensitivity of diatoms are reasons why they are used by many states to assess stream health and to develop numeric-nutrient criteria (Zheng et al. 2008;Smith and Tran 2010;Charles et al. 2019). In the western U.S., diatoms can be the dominant algae in a river (Crayton and Sommerfeld 1979;Fisher et al. 1982) and nutrient enrichment is increasingly becoming a problem in the western U.S. (Sickman et al. 2003; Baron et al. 2011), making the problem a national issue (U.S. Environmental Protection Agency 2016; Amos et al. 2018). Thus, to make generalized model parameters applicable to a wide variety of environmental conditions and assemblage composition, we set out to estimate growth rate parameters derived from an underrepresented type of algal community, a diatom-dominant community from a western U.S. river. ...
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Nitrogen (N) and phosphorus (P) are significant pollutants that can stimulate nuisance blooms of algae. Water quality models (e.g., Water Quality Simulation Program, CE‐QUAL‐R1, CE‐QUAL‐ICM, QUAL2k) are valuable and widely used management tools for algal accrual due to excess nutrients in the presence of other limiting factors. These models utilize the Monod and Droop equations to associate algal growth rate with dissolved nutrient concentration and intracellular nutrient content. Having accurate parameter values is essential to model performance; however, published values for model parameterization are limited, particularly for benthic (periphyton) algae. We conducted a 10‐day mesocosm experiment and measured diatom‐dominated periphyton biomass accrual through time as chlorophyll a (chl a) and ash‐free dry mass (AFDM) in response to additions of N (range 5–11,995 µg nitrate as nitrogen [NO3‐N]/L) and P (range 0.89–59.51 µg soluble reactive phosphorus/L). Resulting half‐saturation coefficients and growth rates are similar to other published values, but minimum nutrient quotas are higher than those previously reported. Saturation concentration for N ranged from 150 to 2,450 µg NO3‐N/L based on chl a and from 8.5 to 60 µg NO3‐N/L when based on AFDM. Similarly, the saturation concentration for P ranged from 12 to 29 µg‐P/L based on chl a, and from 2.5 to 6.1 µg‐P/L based on AFDM. These saturation concentrations provide an upper limit for streams where diatom growth can be expected to respond to nutrient levels and a benchmark for reducing nutrient concentrations to a point where benthic algal growth will be limited. Research Impact Statement: Parameter estimates for water quality models predictive of periphyton growth rates and accrual in streams were derived from a diatom‐dominated community in a nutrient addition mescocosm experiment.
... However, both measurements and models show urban areas (Figure 1, lower right) as hot-spots for deposition of oxidized and reduced forms of Nr, owing to a high Walker Expanded routine monitoring is needed to better understand the role of atmospheric Nr deposition in urban water quality and to better inform management of total maximum daily loads (TMDL) and other water quality issues downstream 25 . This would involve expansion of networks such as NADP National Trends Network (NTN) in urban areas, which would benefit from coordination of deposition and water quality monitoring 26 . Air concentrations of oxidized Nr (NO x , NO y , NO 2 ) are already monitored in many urban areas (EPA Air Quality System, https://www.epa.gov/aqs). ...