Top

Water Resources Management

Published in:

24-08-2020

FingerPro: an R Package for Tracking the Provenance of Sediment

Authors: Ivan Lizaga, Borja Latorre, Leticia Gaspar, Ana Navas

Published in: Water Resources Management | Issue 12/2020

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

Soil loss by erosion processes is one of the largest challenges for food production and reservoir siltation around the world. Information on sediment, nutrients and pollutants is required for designing effective control strategies. The estimation of sediment sources is difficult to get using conventional techniques, but sediment fingerprinting is a potentially valuable tool. This procedure intends to develop methods that enable to identify the apportionment of sediment sources from sediment mixtures. We developed a new tool to quantify the provenance of sediments in an agroforest catchment. For the first time, the procedure for the selection of the best combination of tracers was included in the tool package. An unmixing model algorithm is applied to the sediment samples to estimate the contribution of each possible source. The operations are compiled in an R package named FingerPro, which unmixes sediment samples after selecting the optimum set of tracers. An example from a well-studied Mediterranean catchment is included in the package to test the model. The sediment source apportionments are compared with previous results of soil redistributions where ¹³⁷Cs derived rates validate the unmixing results, highlighting the potential of sediment fingerprinting for quantifying the main sediment provenance. Fingerprinting techniques will allow us to better comprehend sediment transport to water ecosystems and reservoirs and its detrimental effect on the quality of the water and aquatic habitats. The FingerPro package provides further understanding of the unmixing procedure through the use of graphical and statistical tools, offering a broader and easier application of the technique.

previous article Adaptation of Water Resources System to Water Scarcity and Climate Change in the Suburb Area of Megacities

next article Novel Leakage Detection and Localization Method Based on Line Spectrum Pair and Cubic Interpolation Search

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Barthod LRM, Liu K, Lobb DA, Owens PN, Martínez-Carreras N, Koiter AJ, Petticrew EL, McCullough GK, Liu C, Gaspar L (2015) Selecting color-based tracers and classifying sediment sources in the assessment of sediment dynamics using sediment source fingerprinting. J Environ Qual 44:1605–1616. https://doi.org/10.2134/jeq2015.01.0043CrossRef

Blake WH, Boeckx P, Stock BC, Smith HG, Bodé S, Upadhayay HR, Gaspar L, Goddard R, Lennard AT, Lizaga I, Lobb DA, Owens PN, Petticrew EL, Kuzyk ZZA, Gari BD, Munishi L, Mtei K, Nebiyu A, Mabit L, Navas A, Semmens BX (2018) A deconvolutional Bayesian mixing model approach for river basin sediment source apportionment. Sci Rep 8:13073. https://doi.org/10.1038/s41598-018-30905-9CrossRef

Collins AL, Walling DE, Leeks GJL (1997) Fingerprinting the origin of fluvial suspended sediment in Larger River basins: combining assessment of spatial provenance and source type. Geografiska Annaler: Series A, Physical Geography 79:239–254. https://doi.org/10.1111/j.0435-3676.1997.00020.xCrossRef

Collins AL, Walling DE (2002) Selecting fingerprint properties for discriminating potential suspended sediment sources in river basins. J Hydrol 261:218–244. https://doi.org/10.1016/S0022-1694(02)00011-2CrossRef

dos Santos JCN, de Andrade EM, Medeiros PHA, Guerreiro MJS, de Queiroz Palácio HA (2017) Effect of rainfall characteristics on runoff and water Erosion for different land uses in a tropical semiarid region. Water Resour Manag 31:173–185. https://doi.org/10.1007/s11269-016-1517-1CrossRef

Evrard O, Chaboche P-A, Ramon R, Foucher A, Laceby JP (2020) A global review of sediment source fingerprinting research incorporating fallout radiocesium (137Cs). Geomorphology 107103:107103. https://doi.org/10.1016/j.geomorph.2020.107103CrossRef

Evrard O, Laceby JP, Ficetola GF, Gielly L, Huon S, Lefèvre I, Onda Y, Poulenard J (2019) Environmental DNA provides information on sediment sources: A study in catchments affected by Fukushima radioactive fallout. Sci Total Environ 665:873–881. https://doi.org/10.1016/j.scitotenv.2019.02.191CrossRef

Foucher A, Evrard O, Huon S, Curie F, Lefèvre I, Vaury V, Cerdan O, Vandromme R, Salvador-Blanes S (2020) Regional trends in eutrophication across the Loire river basin during the 20th century based on multi-proxy paleolimnological reconstructions. Agric Ecosyst Environ 301:107065. https://doi.org/10.1016/j.agee.2020.107065CrossRef

Gaspar L, Lizaga I, Blake WH, Latorre B, Quijano L, Navas A (2019a) Fingerprinting changes in source contribution for evaluating soil response during an exceptional rainfall in Spanish pre-pyrenees. J Environ Manag 240:136–148. https://doi.org/10.1016/j.jenvman.2019.03.109

Gaspar L, Blake WH, Smith HG, Lizaga I, Navas A (2019b) Testing the sensitivity of a multivariate mixing model using geochemical fingerprints with artificial mixtures. Geoderma 337:498–510. https://doi.org/10.1016/j.geoderma.2018.10.005

Gholami H, Rahimi S, Fathabadi A, Habibi S, Collins AL (2020) Mapping the spatial sources of atmospheric dust using GLUE and Monte Carlo simulation. Sci Total Environ 723:138090. https://doi.org/10.1016/j.scitotenv.2020.138090CrossRef

Helton JC (1994) Treatment of uncertainty in performance assessments for complex systems. Risk Anal 14:483–511. https://doi.org/10.1111/j.1539-6924.1994.tb00266.xCrossRef

Klages MG, Hsieh YP (1975) Suspended solids carried by the Gallatin River of southwestern Montana: II. Using Mineralogy for Inferring Sources. Journal of Environmental Quality 4:68–73. https://doi.org/10.2134/jeq1975.00472425000400010016xCrossRef

Koiter AJ, Lobb DA, Owens PN, Petticrew EL, Tiessen KHD, Li S (2013) Investigating the role of connectivity and scale in assessing the sources of sediment in an agricultural watershed in the Canadian prairies using sediment source fingerprinting. J Soils Sediments 13:1676–1691. https://doi.org/10.1007/s11368-013-0762-7CrossRef

Lin J, Huang Y, Wang M, Jiang F, Zhang X, Ge H (2015) Assessing the sources of sediment transported in gully systems using a fingerprinting approach: an example from south-East China. CATENA 129:9–17. https://doi.org/10.1016/j.catena.2015.02.012CrossRef

Lizaga I, Quijano L, Gaspar L, Navas A (2018) Estimating soil redistribution patterns with ¹³⁷Cs measurements in a Mediterranean mountain catchment affected by land abandonment. Land Degrad Dev 29:105–117. https://doi.org/10.1002/ldr.2843CrossRef

Lizaga I, Gaspar L, Blake W, Latorre B, Navas A (2019) Fingerprinting changes of source apportionments from mixed land uses in stream sediments before and after an exceptional rainstorm event. Geomorphology. 341:216–229. https://doi.org/10.1016/j.geomorph.2019.05.015CrossRef

Lizaga I, Latorre B, Gaspar L, Navas A (2020) Consensus ranking as a method to identify non-conservative and dissenting tracers in fingerprinting studies. Sci Total Environ 720:137537. https://doi.org/10.1016/j.scitotenv.2020.137537CrossRef

Martínez-Carreras N, Krein A, Udelhoven T, Gallart F, Iffly JF, Hoffmann L, Pfister L, Walling DE (2010) A rapid spectral-reflectance-based fingerprinting approach for documenting suspended sediment sources during storm runoff events. J Soils Sediments 10:400–413. https://doi.org/10.1007/s11368-009-0162-1CrossRef

McKay MD, Beckman RJ, Conover WJ (1979) A comparison of three methods for selecting values of input variables in the analysis of output from a computer code. Technometrics 21:239–245. https://doi.org/10.2307/1268522CrossRef

Molnár DK, Julien PY (1998) Estimation of upland erosion using GIS. Comput Geosci 24:183–192. https://doi.org/10.1016/S0098-3004(97)00100-3CrossRef

Moore JW, Semmens BX (2008) Incorporating uncertainty and prior information into stable isotope mixing models. Ecol Lett 11:470–480. https://doi.org/10.1111/j.1461-0248.2008.01163.xCrossRef

Navas A, Lizaga I, Gaspar L, Latorre B, Dercon G (2020) Unveiling the provenance of sediments in the moraine complex of Aldegonda glacier (Svalbard) after glacial retreat using radionuclides and elemental fingerprints. Geomorphology. 367:107304. https://doi.org/10.1016/j.geomorph.020.107304CrossRef

Owens PN, Blake WH, Gaspar L, Gateuille D, Koiter AJ, Lobb DA, Petticrew EL, Reiffarth DG, Smith HG, Woodward JC (2016) Fingerprinting and tracing the sources of soils and sediments: earth and ocean science, geoarchaeological, forensic, and human health applications. Earth Sci Rev 162:1–23. https://doi.org/10.1016/j.earscirev.2016.08.012CrossRef

Palazón L, Latorre B, Gaspar L, Blake WH, Smith HG, Navas A (2015) Comparing catchment sediment fingerprinting procedures using an auto-evaluation approach with virtual sample mixtures. Sci Total Environ 532:456–466. https://doi.org/10.1016/j.scitotenv.2015.05.003CrossRef

Panagopoulos Y, Makropoulos C, Mimikou M (2011) Diffuse surface water pollution: driving factors for different Geoclimatic regions. Water Resour Manag 25:3635–3660. https://doi.org/10.1007/s11269-011-9874-2CrossRef

Phillips DL, Gregg JW (2003) Source partitioning using stable isotopes: coping with too many sources. Oecologia 136:261–269. https://doi.org/10.1007/s00442-003-1218-3CrossRef

Pulley S, Foster I, Antunes P (2015) The uncertainties associated with sediment fingerprinting suspended and recently deposited fluvial sediment in the Nene river basin. Geomorphology 228:303–319. https://doi.org/10.1016/j.geomorph.2014.09.016CrossRef

Pulley S, Collins AL (2018) Tracing catchment fine sediment sources using the new SIFT (SedIment fingerprinting tool) open source software. Sci Total Environ 635:838–858. https://doi.org/10.1016/j.scitotenv.2018.04.126CrossRef

Quijano L, Gaspar L, Navas A (2016) Spatial patterns of SOC, SON, ¹³⁷Cs and soil properties as affected by redistribution processes in a Mediterranean cultivated field (Central Ebro Basin). Soil Tillage Res 155:318–328. https://doi.org/10.1016/j.still.2015.09.007CrossRef

Ramon R, Evrard O, Laceby JP, Caner L, Inda AV, de Barros CAP, Minella JPG, Tiecher T (2020) Combining spectroscopy and magnetism with geochemical tracers to improve the discrimination of sediment sources in a homogeneous subtropical catchment. CATENA 195:104800. https://doi.org/10.1016/j.catena.2020.104800CrossRef

Reiffarth DG, Petticrew EL, Owens PN, Lobb DA (2019) Spatial differentiation of cultivated soils using compound-specific stable isotopes (CSSIs) in a temperate agricultural watershed in Manitoba, Canada. J Soils Sediments 19:3411–3426. https://doi.org/10.1007/s11368-019-02406-3CrossRef

Schmidt S, Meusburger K, de Figueiredo T, Alewell C (2017) Modelling hot spots of soil loss by wind Erosion (SoLoWind) in Western Saxony, Germany. Land Degrad Develop 28:1100–1112. https://doi.org/10.1002/ldr.2652CrossRef

Schuller P, Walling DE, Iroumé A, Quilodrán C, Castillo A, Navas A (2013) Using 137Cs and 210Pbex and other sediment source fingerprints to document suspended sediment sources in small forested catchments in south-Central Chile. J Environ Radioact 124:147–159. https://doi.org/10.1016/j.jenvrad.2013.05.002CrossRef

Shore M, Murphy PNC, Jordan P, Mellander PE, Kelly-Quinn M, Cushen M, Mechan S, Shine O, Melland AR (2013) Evaluation of a surface hydrological connectivity index in agricultural catchments. Environ Model Softw 47:7–15. https://doi.org/10.1016/j.envsoft.2013.04.003CrossRef

Smith HG, Blake WH (2014) Sediment fingerprinting in agricultural catchments: A critical re-examination of source discrimination and data corrections. Geomorphology 204:177–191. https://doi.org/10.1016/j.geomorph.2013.08.003CrossRef

Valero-Garcés BL, Navas A, Machín J, Walling D (1999) Sediment sources and siltation in mountain reservoirs: a case study from the central Spanish Pyrenees. Geomorphology 28:23–41. https://doi.org/10.1016/S0169-555X(98)00096-8CrossRef

Wallbrink PJ, Murray AS, Olley JM, Olive LJ (1998) Determining sources and transit times of suspended sediment in the Murrumbidgee River, New South Wales, Australia, using fallout 137Cs and 210Pb. Water Resour Res 34:879–887. https://doi.org/10.1029/97WR03471CrossRef

Title: FingerPro: an R Package for Tracking the Provenance of Sediment
Authors: Ivan Lizaga
Borja Latorre
Leticia Gaspar
Ana Navas
Publication date: 24-08-2020
Publisher: Springer Netherlands
Published in: Water Resources Management / Issue 12/2020
Print ISSN: 0920-4741
Electronic ISSN: 1573-1650
DOI: https://doi.org/10.1007/s11269-020-02650-0

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Technik"

Springer Professional "Wirtschaft+Technik"

Other articles of this Issue 12/2020

A New Interval Two-stage Stochastic Programming with CVaR for Water Resources Management

Stochastic Simulation of Daily Suspended Sediment Concentration Using Multivariate Copulas

Novel Leakage Detection and Localization Method Based on Line Spectrum Pair and Cubic Interpolation Search

Estimation of Suspended Sediment Concentration by M5 Model Tree Based on Hydrological and Moderate Resolution Imaging Spectroradiometer (MODIS) Data

Hydrological Response to Agricultural Land Use Heterogeneity Using Variable Infiltration Capacity Model

Proper Sizing of Infiltration Trenches Using Closed-Form Analytical Equations