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Environmental modelling

  • Tobias Krueger (author)
Chapter of: The Field Guide to Mixing Social and Biophysical Methods in Environmental Research(pp. 461–468)
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Title Environmental modelling
ContributorTobias Krueger (author)
DOIhttps://doi.org/10.11647/obp.0418.26
Landing pagehttps://www.openbookpublishers.com/books/10.11647/obp.0418/chapters/10.11647/obp.0418.26
Licensehttps://creativecommons.org/licenses/by-nc/4.0/
CopyrightTobias Krueger;
PublisherOpen Book Publishers
Published on2025-02-25
Long abstract

Environmental modelling represents environmental processes using mathematical equations and eventually computer programmes. These models allow virtual experiments on a system to gain understanding of its dynamics and to predict system behaviour, which are useful for research, policy and practice. A model, however, is never neutral but always reproduces particular disciplinary norms, habits and political, economic and technical contexts.

Page rangepp. 461–468
Print length8 pages
LanguageEnglish (Original)
Locations
Landing PageFull text URLPlatform
PDFhttps://www.openbookpublishers.com/books/10.11647/obp.0418/chapters/10.11647/obp.0418.26Landing pagehttps://books.openbookpublishers.com/10.11647/obp.0418.26.pdfFull text URL
HTMLhttps://www.openbookpublishers.com/books/10.11647/obp.0418/chapters/10.11647/obp.0418.26Landing pagehttps://books.openbookpublishers.com/10.11647/obp.0418/ch26.xhtmlFull text URLPublisher Website
References
  1. Beven, K.J. 2009. Environmental Modelling: An Uncertain Future? (https://doi.org/10.1201/9781482288575). Gives an introduction to model development, modelling philosophy and uncertainty analysis.
  2. Braun, A., Chapter 39, this volume. ‘(Critical) Satellite remote sensing’.
  3. Hamilton, S.H., C.A. Pollino, D.S. Stratford, B. Fu, and A.J. Jakeman. 2022. ‘Fit-for-purpose environmental modeling: Targeting the intersection of usability, reliability and feasibility’, Environmental Modelling and Software 148: 105278 https://doi.org/10.1016/j.envsoft.2021.105278. Formalises the concept of a model fit for purpose along the dimensions: usefulness, reliability and feasibility; and lays out modelling guidelines.
  4. Wainwright, J. and M. Mulligan. 2013. Environmental Modelling: Finding Simplicity in Complexity (https://doi.org/10.1002/9781118351475). Provides introductions to many contemporary kinds of environmental models.
  5. Krueger, T., T. Page, K. Hubacek, L. Smith, and K. Hiscock. 2012. ‘The role of expert opinion in environmental modelling’, Environmental Modelling and Software, 36, pp. 4–18.. https://doi.org/10.1016/j.envsoft.2012.01.011
  6. Krueger, T. and R. Alba. 2022. ‘Ontological and epistemological commitments in interdisciplinary water research: Uncertainty as an entry point for reflexion’, Frontiers in Water, 4. https://doi.org/10.3389/frwa.2022.1038322
  7. Landström, C., Chapter 35, this volume. ‘Participatory modelling’.
  8. Lane, S.N., Chapter 30, this volume. ‘Hydraulic modelling’.
  9. Lane, S.N., Chapter 42, this volume. ‘Statistical inference’.
  10. Lane, S.N., C.J. Brookes, A.L. Heathwaite, and S. Reaney. 2006. ‘Surveillant science: Challenges for the management of rural environments emerging from the new generation diffuse pollution models’, Journal of Agricultural Economics, 57.2, pp. 239–257. https://doi.org/10.1111/j.1477-9552.2006.00050.x
  11. Johnston, L., and Longhurst, R., Chapter 32, this volume. ‘Interviews: Structured, semi-structured and open-ended’.
  12. Melsen, L., Chapter 31, this volume. ‘Hydrological modelling’.
  13. Mokos, J., Chapter 36, this volume. ‘Participatory methods’.
  14. Rusca, M. and Mazzoleni, M., Chapter 14, this volume. ‘The interface between hydrological modelling and political ecology’.
  15. Saltelli, A., M. Ratto, T. Andres, F. Campolongo, J. Cariboni, D. Gatelli, M. Saisana, and S. Tarantola. 2008. Global Sensitivity Analysis: The Primer (Wiley-Blackwell). https://doi.org/10.1002/9780470725184
  16. Sayre, N.F., Chapter 34, this volume. ‘Participant observation and ethnography’.
  17. Winata, F. and McLafferty, S., Chapter 43, this volume. ‘Survey and questionnaire methods’.

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