The temperature and flow dependence of nitrate concentration and load estimates based on diffusive gradients in thin films.


Journal

Journal of environmental quality
ISSN: 1537-2537
Titre abrégé: J Environ Qual
Pays: United States
ID NLM: 0330666

Informations de publication

Date de publication:
Mar 2022
Historique:
received: 10 05 2021
accepted: 20 12 2021
pubmed: 8 1 2022
medline: 24 3 2022
entrez: 7 1 2022
Statut: ppublish

Résumé

Concentrations determined using diffusive gradients in thin films (DGT) have been used to derive time-averaged loads in streams and rivers. However, DGT provide time-weighted average concentrations that assume the independence of concentration and flow. Additionally, dynamic and coordinated changes in temperature, flow, and concentration are potential sources of bias in concentration and load calculations. We modeled scenarios in which temperature and flow were correlated to varying degrees with concentration and evaluated the consequences for DGT concentration and load calculations. As the correlation between solution flow and concentration moved toward 1 and -1, the load determined by DGT either overestimated or underestimated the actual load by as much as 30%. In DGT-based load estimates, the degree of potential bias should be assessed, and the concentration-flow relation should be characterized. As the correlation of analyte concentration and temperature approached 1 and -1, the deviation of the concentration determined by DGT from the actual concentration increased. In most cases, this bias was < 2%; however, if the changes in concentration and temperature were large (∼10 mg L

Identifiants

pubmed: 34993967
doi: 10.1002/jeq2.20323
doi:

Substances chimiques

Nitrates 0
Water Pollutants, Chemical 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

250-259

Subventions

Organisme : Wellcome Trust
ID : 106835
Pays : United Kingdom
Organisme : Rutherford Discovery Fellowship
ID : RDF-UOW1601
Organisme : Wellcome Trust
ID : 105473
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 106835
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 105473
Pays : United Kingdom

Informations de copyright

© 2022 The Authors. Journal of Environmental Quality © 2022 American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America.

Références

Addy, K., Gold, A. J., Christianson, L. E., David, M. B., Schipper, L. A., & Ratigan, N. A. (2016). Denitrifying bioreactors for nitrate removal: A meta-analysis. Journal of Environmental Quality, 45(3), 873-881. https://doi.org/10.2134/jeq2015.07.0399
Audet, J., Martinsen, L., Hasler, B., De Jonge, H., Karydi, E., Ovesen, N. B., & Kronvang, B. (2014). Comparison of sampling methodologies for nutrient monitoring in streams: Uncertainties, costs and implications for mitigation. Hydrology and Earth System Sciences, 18(11), 4721-4731. https://doi.org/10.5194/hess-18-4721-2014
Basu, N. B., Destouni, G., Jawitz, J. W., Thompson, S. E., Loukinova, N. V., Darracq, A., Zanardo, S., Yaeger, M., Sivapalan, M., Rinaldo, A., & Rao, P. S. C. (2010). Nutrient loads exported from managed catchments reveal emergent biogeochemical stationarity. Geophysical Research Letters, 37(23), L23404. https://doi.org/10.1029/2010GL045168
Cai, C., Williams, P. N., Li, H., Davison, W., Wei, T.-J., Luo, J., Zhu, Y.-G., & Zhang, H. (2017). Development and application of the diffusive gradients in thin films technique for the measurement of nitrate in soils. Analytical Chemistry, 89(2), 1178-1184. https://doi.org/10.1021/acs.analchem.6b03609
Corbett, T. D. W., Dougherty, H., Maxwell, B., Hartland, A., Henderson, W., Rys, G. J., & Schipper, L. A. (2019). Utility of ‘diffusive gradients in thin-films’ for the measurement of nitrate removal performance of denitrifying bioreactors. Science of the Total Environment, 135267. https://doi.org/10.1016/j.scitotenv.2019.135267
Davison, W. (2016). Diffusive gradients in thin-films for environmental measurements. Cambridge University Press.
Davison, W., & Zhang, H. (2012). Progress in understanding the use of diffusive gradients in thin films (DGT) - back to basics. Environmental Chemistry, 9(1), 1-13. https://doi.org/10.1071/EN11084
Duncan, J. M., Welty, C., Kemper, J. T., Groffman, P. M., & Band, L. E. (2017). Dynamics of nitrate concentration-discharge patterns in an urban watershed. Water Resources Research, 53(8), 7349-7365. https://doi.org/10.1002/2017WR020500
Hanousek, O., Mason, S., Santner, J., Chowdhury, M. M. A., Berger, T. W., & Prohaska, T. (2016). Novel diffusive gradients in thin films technique to assess labile sulfate in soil. Analytical and Bioanalytical Chemistry, 408(24), 6759-6767. https://doi.org/10.1007/s00216-016-9801-8
Huang, J., Bennett, W., Teasdale, P. R., Gardiner, S., & Welsh, D. (2016). Development and evaluation of the diffusive gradients in thin films technique for measuring nitrate in freshwaters. Analytica Chimica Acta, 923, 74-81. https://doi.org/10.1016/j.aca.2016.04.006
Huang, J., Bennett, W. W., Welsh, D. T., Li, T., & Teasdale, P. R. (2016). “Diffusive gradients in thin films” techniques provide representative time-weighted average measurements of inorganic nutrients in dynamic freshwater systems. Environmental Science & Technology, 50(24), 13446-13454. https://doi.org/10.1021/acs.est.6b02949
Huang, J., Bennett, W. W., Welsh, D. T., & Teasdale, P. R. (2016). Determining time-weighted average concentrations of nitrate and ammonium in freshwaters using DGT with ion exchange membrane-based binding layers. Environmental Science: Processes & Impacts, 18(12), 1530-1539. https://doi.org/10.1039/c6em00260a
King, R. C., Mulligan, P. K., & Stansfield, W. D. (2013). Diffusion. In A dictionary of genetics (8 ed., p. 122). Oxford University Press.
Kronvang, B., & Bruhn, A. J. (1996). Choice of sampling strategy and estimation method for calculating nitrogen and phosphorus transport in small lowland streams. Hydrological Processes, 10(11), 1483-1501. https://doi.org/10.1002/(SICI)1099-1085(199611)10:11/1483::AID-HYP386/3.0.CO;2-Y
Lehto, N. J., Davison, W., Zhang, H., & Tych, W. (2006). An evaluation of DGT performance using a dynamic numerical model. Environmental Science & Technology, 40(20), 6368-6376. https://doi.org/10.1021/es061215x
Li, W., Teasdale, P. R., Zhang, S., John, R., & Zhao, H. (2003). Application of a poly(4-styrenesulfonate) liquid binding layer for measurement of Cu2+ and Cd2+ with the diffusive gradients in thin-films technique. Analytical Chemistry, 75(11), 2578-2583. https://doi.org/10.1021/ac020658q
Liu, S., Qin, N., Song, J., Zhang, Y., Cai, W., Zhang, H., Wang, G., & Zhao, H. (2016). A nanoparticulate liquid binding phase based DGT device for aquatic arsenic measurement. Talanta, 160, 225-232. https://doi.org/10.1016/j.talanta.2016.06.064
Lucey, K. J., & Goolsby, D. A. (1993). Effects of climatic variations over 11 years on nitrate-nitrogen concentrations in the Raccoon River, Iowa. Journal of Environmental Quality, 22(1), 38-46. https://doi.org/10.2134/jeq1993.00472425002200010005x
Maxwell, B. M., Birgand, F., Smith, B., & Aveni-Deforge, K. (2018). A small-volume multiplexed pumping system for automated, high-frequency water chemistry measurements in volume-limited applications. Hydrology and Earth System Sciences, 22(11), 5615-5628. https://doi.org/10.5194/hess-22-5615-2018
Moatar, F., & Meybeck, M. (2005). Compared performances of different algorithms for estimating annual nutrient loads discharged by the eutrophic River Loire. Hydrological Processes, 19(2), 429-444. https://doi.org/10.1002/hyp.5541
Müller, B., Stierli, R., & Gächter, R. (2008). A low-tech, low-cost passive sampler for the long-term monitoring of phosphate loads in rivers and streams. Journal of Environmental Monitoring, 10(7), 817-820. https://doi.org/10.1039/B806465B
Musolff, A., Schmidt, C., Selle, B., & Fleckenstein, J. H. (2015). Catchment controls on solute export. Advances in Water Resources, 86, 133-146. https://doi.org/10.1016/j.advwatres.2015.09.026
Panther, J. G., Stewart, R. R., Teasdale, P. R., Bennett, W. W., Welsh, D. T., & Zhao, H. (2013). Titanium dioxide-based DGT for measuring dissolved As(V), V(V), Sb(V), Mo(VI) and W(VI) in water. Talanta, 105, 80-86. https://doi.org/10.1016/j.talanta.2012.11.070
Panther, J. G., Teasdale, P. R., Bennett, W. W., Welsh, D. T., & Zhao, H. (2010). Titanium dioxide-based DGT technique for in situ measurement of dissolved reactive phosphorus in fresh and marine waters. Environmental Science & Technology, 44(24), 9419-9424. https://doi.org/10.1021/es1027713
Perrot, D., Molotch, N. P., Williams, M. W., Jepsen, S. M., & Sickman, J. O. (2014). Relationships between stream nitrate concentration and spatially distributed snowmelt in high-elevation catchments of the western U.S. Water Resources Research, 50(11), 8694-8713. https://doi.org/10.1002/2013WR015243
Pinckney, J. L., Paerl, H. W., Tester, P., & Richardson, T. L. (2001). The role of nutrient loading and eutrophication in estuarine ecology. Environmental Health Perspectives, 109(Suppl 5), 699-706. https://doi.org/10.1289/ehp.01109s5699
Ren, M., Ding, S., Shi, D., Zhong, Z., Cao, J., Yang, L., Tsang, D. C. W., Wang, D., Zhao, D., & Wang, Y. (2020). A new DGT technique comprised in a hybrid sensor for the simultaneous measurement of ammonium, nitrate, phosphorus and dissolved oxygen. Science of the Total Environment, 725, 138447. https://doi.org/10.1016/j.scitotenv.2020.138447
Rivett, M. O., Buss, S. R., Morgan, P., Smith, J. W. N., & Bemment, C. D. (2008). Nitrate attenuation in groundwater: A review of biogeochemical controlling processes. Water Research, 42(16), 4215-4232. https://doi.org/10.1016/j.watres.2008.07.020
Schipper, L., Robertson, W., Gold, A., Jaynes, D. B., & Cameron, C. S. (2010). Denitrifying bioreactors: An approach for reducing nitrate loads to receiving waters. Ecological Engineering, 36, 1532-1543. https://doi.org/10.1016/j.ecoleng.2010.04.008
Søndergaard, J., Bach, L., & Gustavson, K. (2014). Measuring bioavailable metals using diffusive gradients in thin films (DGT) and transplanted seaweed (Fucus vesiculosus), blue mussels (Mytilus edulis) and sea snails (Littorina saxatilis) suspended from monitoring buoys near a former lead-zinc mine in West Greenland. Marine Pollution Bulletin, 78(1), 102-109. https://doi.org/10.1016/j.marpolbul.2013.10.054
Thompson, S. E., Basu, N. B., Lascurain Jr. J., Aubeneau, A., & Rao, P. S. C. (2011). Relative dominance of hydrologic versus biogeochemical factors on solute export across impact gradients. Water Resources Research, 47(10). https://doi.org/10.1029/2010WR009605
Tulagi, A. (2019). Waikato River water quality monitoring programme: Data report 2017. Waikato Regional Council.
Wang, H., Gao, J.-E., Li, X.-H., Zhang, S.-L., & Wang, H.-J. (2015). Nitrate accumulation and leaching in surface and ground water based on simulated rainfall experiments. PLOS ONE, 10(8), e0136274. https://doi.org/10.1371/journal.pone.0136274
Zhang, H., & Davison, W. (1995). Performance characteristics of diffusion gradients in thin films for the in situ measurement of trace metals in aqueous solution. Analytical Chemistry, 67(19), 3391-3400. https://doi.org/10.1021/ac00115a005
Zhang, H., Davison, W., Gadi, R., & Kobayashi, T. (1998). In situ measurement of dissolved phosphorus in natural waters using DGT. Analytica Chimica Acta, 370(1), 29-38. https://doi.org/10.1016/S0003-2670(98)00250-5

Auteurs

Thomas Corbett (T)

School of Science, The Univ. of Waikato, Hamilton, 3216, New Zealand.
Environmental Research Institute, The Univ. of Waikato, Hamilton, 3216, New Zealand.

Adam Hartland (A)

School of Science, The Univ. of Waikato, Hamilton, 3216, New Zealand.
Environmental Research Institute, The Univ. of Waikato, Hamilton, 3216, New Zealand.

William Henderson (W)

School of Science, The Univ. of Waikato, Hamilton, 3216, New Zealand.

Gerald Rys (G)

Ministry for Primary Industries, Wellington, 6011, New Zealand.

Louis A Schipper (LA)

School of Science, The Univ. of Waikato, Hamilton, 3216, New Zealand.
Environmental Research Institute, The Univ. of Waikato, Hamilton, 3216, New Zealand.

Articles similaires

India Carbon Sequestration Environmental Monitoring Carbon Biomass
Rivers Turkey Biodiversity Environmental Monitoring Animals
1.00
Iran Environmental Monitoring Seasons Ecosystem Forests
Nigeria Environmental Monitoring Solid Waste Waste Disposal Facilities Refuse Disposal

Classifications MeSH