IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v314y2015icp62-72.html
   My bibliography  Save this article

Detection of dominant nitrate processes in ecohydrological modeling with temporal parameter sensitivity analysis

Author

Listed:
  • Haas, Marcelo B.
  • Guse, Björn
  • Pfannerstill, Matthias
  • Fohrer, Nicola

Abstract

River systems are impacted by nutrient inputs from the landscape. The transport of nitrate from agricultural areas into the river systems is related to numerous processes, which occur simultaneously and influence each other permanently. Ecohydrological models aim to represent these complex nitrate processes. For reliable model results, it is essential to better understand the nitrate process dynamics in models.

Suggested Citation

  • Haas, Marcelo B. & Guse, Björn & Pfannerstill, Matthias & Fohrer, Nicola, 2015. "Detection of dominant nitrate processes in ecohydrological modeling with temporal parameter sensitivity analysis," Ecological Modelling, Elsevier, vol. 314(C), pages 62-72.
  • Handle: RePEc:eee:ecomod:v:314:y:2015:i:c:p:62-72
    DOI: 10.1016/j.ecolmodel.2015.07.009
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380015003154
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2015.07.009?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Saltelli, Andrea & Ratto, Marco & Tarantola, Stefano & Campolongo, Francesca, 2006. "Sensitivity analysis practices: Strategies for model-based inference," Reliability Engineering and System Safety, Elsevier, vol. 91(10), pages 1109-1125.
    2. Saltelli, Andrea & Bolado, Ricardo, 1998. "An alternative way to compute Fourier amplitude sensitivity test (FAST)," Computational Statistics & Data Analysis, Elsevier, vol. 26(4), pages 445-460, February.
    3. Rode, Michael & Suhr, Ursula & Wriedt, Gunter, 2007. "Multi-objective calibration of a river water quality model—Information content of calibration data," Ecological Modelling, Elsevier, vol. 204(1), pages 129-142.
    4. Jinkang Du & Hanyi Rui & Tianhui Zuo & Qian Li & Dapeng Zheng & Ailing Chen & Youpeng Xu & C.-Y. Xu, 2013. "Hydrological Simulation by SWAT Model with Fixed and Varied Parameterization Approaches Under Land Use Change," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(8), pages 2823-2838, June.
    5. Huang, Shaochun & Hesse, Cornelia & Krysanova, Valentina & Hattermann, Fred, 2009. "From meso- to macro-scale dynamic water quality modelling for the assessment of land use change scenarios," Ecological Modelling, Elsevier, vol. 220(19), pages 2543-2558.
    6. Soetaert, Karline & Petzoldt, Thomas, 2010. "Inverse Modelling, Sensitivity and Monte Carlo Analysis in R Using Package FME," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 33(i03).
    7. Moriasi, Daniel N. & Gowda, Prasanna H. & Arnold, Jeffrey G. & Mulla, David J. & Ale, Srinivasulu & Steiner, Jean L., 2013. "Modeling the impact of nitrogen fertilizer application and tile drain configuration on nitrate leaching using SWAT," Agricultural Water Management, Elsevier, vol. 130(C), pages 36-43.
    8. Bailey, Ryan T. & Ahmadi, Mehdi, 2014. "Spatial and temporal variability of in-stream water quality parameter influence on dissolved oxygen and nitrate within a regional stream network," Ecological Modelling, Elsevier, vol. 277(C), pages 87-96.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kotchakarn Nantasaksiri & Patcharawat Charoen-amornkitt & Takashi Machimura & Kiichiro Hayashi, 2021. "Multi-Disciplinary Assessment of Napier Grass Plantation on Local Energetic, Environmental and Socioeconomic Industries: A Watershed-Scale Study in Southern Thailand," Sustainability, MDPI, vol. 13(24), pages 1-18, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Imron, Muhammad Ali & Gergs, Andre & Berger, Uta, 2012. "Structure and sensitivity analysis of individual-based predator–prey models," Reliability Engineering and System Safety, Elsevier, vol. 107(C), pages 71-81.
    2. Zhou, W. & O’Neill, E. & Moncaster, A. & Reiner, D. & Guthrie, P., 2019. "Applying Bayesian Model Averaging to Characterise Urban Residential Stock Turnover Dynamics," Cambridge Working Papers in Economics 1986, Faculty of Economics, University of Cambridge.
    3. Park, Richard A. & Clough, Jonathan S. & Wellman, Marjorie Coombs, 2008. "AQUATOX: Modeling environmental fate and ecological effects in aquatic ecosystems," Ecological Modelling, Elsevier, vol. 213(1), pages 1-15.
    4. Hanson, Paul C. & Stillman, Aviah B. & Jia, Xiaowei & Karpatne, Anuj & Dugan, Hilary A. & Carey, Cayelan C. & Stachelek, Joseph & Ward, Nicole K. & Zhang, Yu & Read, Jordan S. & Kumar, Vipin, 2020. "Predicting lake surface water phosphorus dynamics using process-guided machine learning," Ecological Modelling, Elsevier, vol. 430(C).
    5. Cao, Jiaokun & Du, Farong & Ding, Shuiting, 2013. "Global sensitivity analysis for dynamic systems with stochastic input processes," Reliability Engineering and System Safety, Elsevier, vol. 118(C), pages 106-117.
    6. Vesna Đukić & Zoran Radić, 2016. "Sensitivity Analysis of a Physically Based Distributed Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(5), pages 1669-1684, March.
    7. H. Christopher Frey & Sumeet R. Patil, 2002. "Identification and Review of Sensitivity Analysis Methods," Risk Analysis, John Wiley & Sons, vol. 22(3), pages 553-578, June.
    8. Drignei, Dorin, 2011. "A general statistical model for computer experiments with time series output," Reliability Engineering and System Safety, Elsevier, vol. 96(4), pages 460-467.
    9. Rui Zhang & Taotao Chen & Daocai Chi, 2020. "Global Sensitivity Analysis of the Standardized Precipitation Evapotranspiration Index at Different Time Scales in Jilin Province, China," Sustainability, MDPI, vol. 12(5), pages 1-19, February.
    10. Hannah Al Ali & Alireza Daneshkhah & Abdesslam Boutayeb & Zindoga Mukandavire, 2022. "Examining Type 1 Diabetes Mathematical Models Using Experimental Data," IJERPH, MDPI, vol. 19(2), pages 1-20, January.
    11. Taffi, Marianna & Paoletti, Nicola & Liò, Pietro & Pucciarelli, Sandra & Marini, Mauro, 2015. "Bioaccumulation modelling and sensitivity analysis for discovering key players in contaminated food webs: The case study of PCBs in the Adriatic Sea," Ecological Modelling, Elsevier, vol. 306(C), pages 205-215.
    12. Ruibin Zhang & Xin Qian & Xingcheng Yuan & Rui Ye & Bisheng Xia & Yulei Wang, 2012. "Simulation of Water Environmental Capacity and Pollution Load Reduction Using QUAL2K for Water Environmental Management," IJERPH, MDPI, vol. 9(12), pages 1-18, December.
    13. López-Benito, Alfredo & Bolado-Lavín, Ricardo, 2017. "A case study on global sensitivity analysis with dependent inputs: The natural gas transmission model," Reliability Engineering and System Safety, Elsevier, vol. 165(C), pages 11-21.
    14. Brown, S. & Beck, J. & Mahgerefteh, H. & Fraga, E.S., 2013. "Global sensitivity analysis of the impact of impurities on CO2 pipeline failure," Reliability Engineering and System Safety, Elsevier, vol. 115(C), pages 43-54.
    15. Reder, Klara & Alcamo, Joseph & Flörke, Martina, 2017. "A sensitivity and uncertainty analysis of a continental-scale water quality model of pathogen pollution in African rivers," Ecological Modelling, Elsevier, vol. 351(C), pages 129-139.
    16. Masciantonio, Sergio, 2013. "Identifying, ranking and tracking systemically important financial institutions (SIFIs), from a global, EU and Eurozone perspective," MPRA Paper 46788, University Library of Munich, Germany.
    17. Lucash, Melissa S. & Marshall, Adrienne M. & Weiss, Shelby A. & McNabb, John W. & Nicolsky, Dmitry J. & Flerchinger, Gerald N. & Link, Timothy E. & Vogel, Jason G. & Scheller, Robert M. & Abramoff, Ro, 2023. "Burning trees in frozen soil: Simulating fire, vegetation, soil, and hydrology in the boreal forests of Alaska," Ecological Modelling, Elsevier, vol. 481(C).
    18. Thalles Vitelli Garcez & Helder Tenório Cavalcanti & Adiel Teixeira de Almeida, 2021. "A hybrid decision support model using Grey Relational Analysis and the Additive-Veto Model for solving multicriteria decision-making problems: an approach to supplier selection," Annals of Operations Research, Springer, vol. 304(1), pages 199-231, September.
    19. Meier, Laura & Brauns, Mario & Grimm, Volker & Weitere, Markus & Frank, Karin, 2022. "MASTIFF: A mechanistic model for cross-scale analyses of the functioning of multiple stressed riverine ecosystems," Ecological Modelling, Elsevier, vol. 470(C).
    20. Melito, Gian Marco & Müller, Thomas Stephan & Badeli, Vahid & Ellermann, Katrin & Brenn, Günter & Reinbacher-Köstinger, Alice, 2021. "Sensitivity analysis study on the effect of the fluid mechanics assumptions for the computation of electrical conductivity of flowing human blood," Reliability Engineering and System Safety, Elsevier, vol. 213(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecomod:v:314:y:2015:i:c:p:62-72. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.