IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v32y2018i3d10.1007_s11269-017-1845-9.html
   My bibliography  Save this article

An Empirical Model for River Ecological Management with Uncertainty Evaluation

Author

Listed:
  • Francesca Palomba

    (Tuscia University)

  • Giorgio Cesari

    (Central Italy Section of Italian Hydrotechnical Association)

  • Remo Pelillo

    (Tiber River Basin Authority (hereafter Central Apennines District Authority))

  • Andrea Petroselli

    (Tuscia University)

Abstract

River Basin District Authorities make use of water quality models in order to assess the environmental status of water bodies. The current Italian procedure aiming to classify the ecological status of a watercourse employs the quality assessment of four biological elements with the support of some chemical and physical elements. Since many measures of the Directive 2000/60/CE affect the chemical and physical elements of the river, the Tiber River Basin Authority (TRBA) has designed an empirical model linking the anthropogenic pressures, the chemical and physical elements of impacts and river biological quality elements. The general model is named PARBLEU, which stands for Pressures/impacts/responses Assessment into River Basins Leading to Environmental Uses. In the present manuscript, only a sub-model of PARBLEU (ecological sub-model concerning the interactions of impacts on water and biota matrices) is discussed. The sub-model is able to simulate the ecological status of river water bodies by acting on the control of impacts, in particular relating to changes of nutrients and dissolved oxygen. The aim of the present study was threefold. First, to select an appropriate functional form for the model and choose which variables to be included (specification process but without validation). Second, to simulate the responses (and the associated uncertainty) on biological elements due to a hypothesized change of chemical and physical conditions. Third, to provide a user friendly tool, but sufficiently reliable, for the professionals, regional technical structures and Authorities.

Suggested Citation

  • Francesca Palomba & Giorgio Cesari & Remo Pelillo & Andrea Petroselli, 2018. "An Empirical Model for River Ecological Management with Uncertainty Evaluation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(3), pages 897-912, February.
    • Handle: RePEc:spr:waterr:v:32:y:2018:i:3:d:10.1007_s11269-017-1845-9
    DOI: 10.1007/s11269-017-1845-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-017-1845-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11269-017-1845-9?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. Koenker, Roger, 1981. "A note on studentizing a test for heteroscedasticity," Journal of Econometrics, Elsevier, vol. 17(1), pages 107-112, September.
    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. Shirin Karimi & Bahman Jabbarian Amiri & Arash Malekian, 2019. "Similarity Metrics-Based Uncertainty Analysis of River Water Quality Models," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(6), pages 1927-1945, April.
    2. Jing Guo & Hailiang Xu & Guangpeng Zhang & Kaiye Yuan & Hongbo Ling, 2020. "The Enhanced Management of Water Resources Improves Ecosystem Services in a Typical Arid Basin," Sustainability, MDPI, vol. 12(21), pages 1-25, October.

    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. Badi H. Baltagi & Zhenlin Yang, 2013. "Standardized LM tests for spatial error dependence in linear or panel regressions," Econometrics Journal, Royal Economic Society, vol. 16(1), pages 103-134, February.
    2. Azimi, Mohammad Naim, 2016. "An economic growth model: Evaluating the interaction of market consumption with GDP growth rate in Afghanistan," MPRA Paper 69517, University Library of Munich, Germany, revised 11 Jan 2016.
    3. Martin Schmidt, 2003. "Monetary dynamics: a market approach," Applied Economics, Taylor & Francis Journals, vol. 35(2), pages 139-152.
    4. Pedro Delicado & Juan Romo, 1998. "Constant coefficient tests for random coefficient regression," Economics Working Papers 329, Department of Economics and Business, Universitat Pompeu Fabra.
    5. Kendix, Michael & Walls, W.D., 2010. "Oil industry consolidation and refined product prices: Evidence from US wholesale gasoline terminals," Energy Policy, Elsevier, vol. 38(7), pages 3498-3507, July.
    6. LE GALLO, Julie, 2000. "Econométrie spatiale 2 -Hétérogénéité spatiale," LATEC - Document de travail - Economie (1991-2003) 2001-01, LATEC, Laboratoire d'Analyse et des Techniques EConomiques, CNRS UMR 5118, Université de Bourgogne.
    7. Fortin, Bernard & Ragued, Safa, 2017. "Does temporary interruption in postsecondary education induce a wage penalty? Evidence from Canada," Economics of Education Review, Elsevier, vol. 58(C), pages 108-122.
    8. van Dijk, Dick & Franses, Philip Hans & Lucas, Andre, 1999. "Testing for ARCH in the Presence of Additive Outliers," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(5), pages 539-562, Sept.-Oct.
    9. Zaman, Asad, 1995. "On the inconsistency of the Breusch-Pagan test," MPRA Paper 9904, University Library of Munich, Germany.
    10. Arturo Bujanda & Thomas M. Fullerton, 2017. "Impacts of transportation infrastructure on single-family property values," Applied Economics, Taylor & Francis Journals, vol. 49(51), pages 5183-5199, November.
    11. Li, Zhaoyuan & Yao, Jianfeng, 2019. "Testing for heteroscedasticity in high-dimensional regressions," Econometrics and Statistics, Elsevier, vol. 9(C), pages 122-139.
    12. Dufour, Jean-Marie & Khalaf, Lynda & Bernard, Jean-Thomas & Genest, Ian, 2004. "Simulation-based finite-sample tests for heteroskedasticity and ARCH effects," Journal of Econometrics, Elsevier, vol. 122(2), pages 317-347, October.
    13. Cuñado, J. & Gil-Alana, L.A. & Perez de Gracia, F., 2012. "Testing for persistent deviations of stock prices to dividends in the Nasdaq index," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(20), pages 4675-4685.
    14. Romano, Joseph P. & Wolf, Michael, 2017. "Resurrecting weighted least squares," Journal of Econometrics, Elsevier, vol. 197(1), pages 1-19.
    15. Baldauf, Markus & Santos Silva, J.M.C., 2012. "On the use of robust regression in econometrics," Economics Letters, Elsevier, vol. 114(1), pages 124-127.
    16. Fiorentini, Gabriele & Sentana, Enrique, 2021. "New testing approaches for mean–variance predictability," Journal of Econometrics, Elsevier, vol. 222(1), pages 516-538.
    17. Ordás Criado, C. & Valente, S. & Stengos, T., 2011. "Growth and pollution convergence: Theory and evidence," Journal of Environmental Economics and Management, Elsevier, vol. 62(2), pages 199-214, September.
    18. Vikas Dixit, 2014. "Relation between Trade Openness, Capital Openness and Government Size in India," Foreign Trade Review, , vol. 49(1), pages 1-29, February.
    19. Comin, Diego & Licht, Georg & Pellens, Maikel & Schubert, Torben, 2018. "Do Companies Benefit from Public Research Organizations? The Impact of the Fraunhofer Society in Germany," Papers in Innovation Studies 2018/7, Lund University, CIRCLE - Centre for Innovation Research.
    20. Jeffrey M. Woodridge, 1988. "A Unified Approach to Robust, Regression-Based Specification Tests," Working papers 480, Massachusetts Institute of Technology (MIT), Department of Economics.

    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:spr:waterr:v:32:y:2018:i:3:d:10.1007_s11269-017-1845-9. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.