Catchment characteristics predicting nitrogen and phosphorus losses in <scp>F</scp>inland

Röman, Elina; Ekholm, Petri; Tattari, Sirkka; Koskiaho, Jari; Kotamäki, Niina

doi:10.1002/rra.3264

Cited by 15 publications

(20 citation statements)

References 35 publications

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“…However, excess P losses from agricultural areas to receiving water bodies can cause water quality impairments. It has been shown that field and lake percentages as well as soil type strongly control total phosphorus (TP) loss from catchments in Finland (Röman et al 2018;Vuorenmaa et al 2002). Thus, TP transported in rivers is often monitored to evaluate excess P losses and the effectiveness of mitigation measures intended to constrain P losses from agricultural sites (e.g., Tattari et al 2017).…”

Section: Introductionmentioning

confidence: 99%

High-frequency measured turbidity as a surrogate for phosphorus in boreal zone rivers: appropriate options and critical situations

Kämäri

Tarvainen

Kotamäki

et al. 2020

Environ Monit Assess

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In situ high-frequency measured turbidity can potentially be used as a surrogate for riverine phosphorus (P) concentrations to better justify the effectiveness of nutrient loss mitigation measures at agricultural sites. We explore the possibilities of using turbidity as a surrogate for total phosphorus (TP) and particulate phosphorus (PP) in four snowmelt-driven rivers draining agricultural clayey catchments. Our results suggest slightly stronger relationship between in situ measured turbidity and PP than between turbidity and TP. Overall, linear TP and PP regressions showed better error statistics in the larger catchments compared with their sub-catchments. Local calibration of the in situ sensors was sensitive to the number of high P concentration discrete water samples. Two optional calibration curves, one with and one without influential data, resulted in a 17% difference in the estimated mean TP concentrations of a snowmelt storm contributing 18% of the annual discharge volume. Accordingly, the error related to monthly mean TP estimates was the largest in spring months at all sites. The addition of total dissolved phosphorus (TDP) improved the model performance, especially for sites where the TDP/TP ratio is large and highly variable over time. We demonstrate how long-term discrete samples beyond sensor deployment can be utilized in the evaluation of the applicability range of the local calibration. We recommend analysing the validity of P concentration estimates, especially during high discharge episodes that contribute substantially to annual riverine nutrient fluxes, since the use of surrogates may introduce large differences into the P concentration estimates based on selected local calibration curves.

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Section: Introductionmentioning

confidence: 99%

High-frequency measured turbidity as a surrogate for phosphorus in boreal zone rivers: appropriate options and critical situations

Kämäri

Tarvainen

Kotamäki

et al. 2020

Environ Monit Assess

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“…CC BY 4.0 License. (Turunen et al, 2017;Bechmann, 2012;Ulén et al, 2012;Turtola et al, 2007;Øygarden et al, 1997) leading to high spatial variability in erosion and further in the transport of suspended sediment loads from different sites and catchments (Röman et al, 2018;Ulén et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

“…Experimental studies have estimated the average erosion from fields to vary from 55 to 2100 kg ha-1 yr-1 (Lilja et al, 2017a;Puustinen et al, 2010) and earlier modelling approaches have estimated the average erosion of all agricultural lands to be 418-485 kg ha-1 yr-1 (Lilja et al, 2017b;Puustinen et al, 2010). These Fig.s are relatively low in global and European scales (Borrelli et al, 2017;Panagos et al, 2015c), however, in respect to the ecological state of water bodies in northern latitudes, they result in significant negative impacts in surface waters and in the Baltic Sea (Ulén et al, 2012), particularly through transport of phosphorus along with the eroded soil particles (Röman et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Improving the agricultural erosion management in Finland through high-resolution data

Räsänen

Tähtikarhu

Uusi-Kämppä

et al. 2021

Preprint

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Abstract. Soil erosion reduces the sustainability of agricultural sector by loss of productive soil and through negative impacts on surface waters. In Finland, considerable efforts have been made to reduce soil erosion, but the suspended sediment loads to surface waters have not markedly reduced. A major limitation has been the lack of high-resolution data on erosion risk for efficient targeting of the erosion management efforts. In this study, by using the Revised Universal Soil Loss Equation (RUSLE) a two-meter resolution erosion risk data was developed and consequently the spatial distribution of the erosion risk of Finnish agricultural land was analysed. With agricultural management practices of 2019, the average erosion of agricultural land was estimated to be 430 kg ha−1 yr−1, and it varied at the municipality scale from 100 to 1290 kg ha−1 yr−1. At more local scales the erosion risk had even greater variability, and areas with high erosion risk were differently located in terms distances to water bodies. The results also suggest that the past erosion management efforts have not been well-targeted according to the actual erosion risk. Altogether, the results indicate that erosion mitigation measures can be improved by inclusion of high-resolution data in the planning and implementation of the measures, by considering the spatial variability of the erosion risk over multiple spatial scales, and by implementation of location specific erosion reduction measures.

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“…The key process causing soil erosion is hydrological, and soil particles are detached from the surface by the kinetic energy of rain drops and surface runoff causing slaking, swelling and dispersion (Bissonnais, 2016;Ulén et al, 2012;Jarvis et al, (Turunen et al, 2017;Bechmann, 2012;Ulén et al, 2012;Turtola et al, 2007;Øygarden et al, 1997) leading to high spatial variability in erosion and further in the transport of suspended sediment loads from different sites and catchments (Röman et al, 2018;Ulén et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Comment on hess-2021-457

Batista¹

2021

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Catchment characteristics predicting nitrogen and phosphorus losses in Finland

Cited by 15 publications

References 35 publications

High-frequency measured turbidity as a surrogate for phosphorus in boreal zone rivers: appropriate options and critical situations

High-frequency measured turbidity as a surrogate for phosphorus in boreal zone rivers: appropriate options and critical situations

Improving the agricultural erosion management in Finland through high-resolution data

Comment on hess-2021-457

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