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Impact of expected climate change on water temperatures of selected Polish rivers

2016/21/B/ST10/02516

Keywords

Descriptors

  • ST10_10: Hydrogeologia, hydrologia, obieg wód, zanieczyszczenia wód
  • ST10_2: Klimatologia, meteorologia, zmiany klimatu, dynamika atmosfery
  • ST6_7: Sztuczna inteligencja, systemy inteligentne i wieloagentowe

Panel

ST10 – Earth sciences: Earth system science, atmospheric sciences, climatology, geochemistry, geodesy, geoecology, geophysics, physical geography, geoinformatics, planetary geology, pedology, mining, chemical and physical oceanology, environmental protection

Host institution

Instytut Geofizyki PAN

Voivodeship: mazowieckie

Other projects carried out by the institution »

Principal investigator (from the host institution)

dr hab. Adam Paweł Piotrowski

Number of co-investigators in the project: 3

Call

OPUS 11 – announced on 2016-03-15

Amount awarded
309 420 PLN
Project start date
2017-02-16
Project end date
2020-02-15
Project duration
36 months (the same as in the proposal)
Project status
Project settled

Project description

Download the project description in a pdf file

Note — project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Equipment purchased [PL]

  1. Komputer stacjonarny z kartą graficzną. Cost: 10 701 PLN
  2. Licencje MATLAB (3 pcs). Cost: 9 000 PLN
  3. klaster obliczeniowy. Cost: 32 000 PLN
  4. laptop. Cost: 6 000 PLN
  5. licencje MATLAB STATISTICS TOOLBOX (3 pcs). Cost: 4 500 PLN

Information in the final report

Publication in academic press/journals (8)

  1. Joint Optimization of Conceptual Rainfall-Runoff Model Parameters and Weights Attributed to Meteorological Stations

    Authors:
    Piotrowski AP, Osuch M, Napiorkowski JJ
    Academic press:
    Water Resources Management (year: 2019, volume: 33, pages: 4509-4524), Publisher: Springer
    Status:
    Published
    DOI:
    10.1007/s11269-019-02368-8 – link to the publication

  2. River/stream water temperature forecasting using artificial intelligence models: a systematic review

    Authors:
    Zhu S, Piotrowski AP
    Academic press:
    Acta Geophysica (year: 2020, volume: 68, pages: 1433–1442), Publisher: Springer
    Status:
    Published
    DOI:
    10.1007/s11600-020-00480-7 – link to the publication

  3. Impact of deep learning-based dropout on shallow neural networks applied to stream temperature modelling

    Authors:
    Piotrowski AP, Napiorkowski JJ, Piotrowska AP
    Academic press:
    Earth-Science Reviews (year: 2020, volume: 201, pages: 103076), Publisher: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.earscirev.2019.103076 – link to the publication

  4. Relationship Between Calibration Time and Final Performance of Conceptual Rainfall-Runoff Models

    Authors:
    Piotrowski AP, Napiorkowski JJ, Osuch M
    Academic press:
    Water Resources Management (year: 2019, volume: 33, pages: 19-37), Publisher: Springer
    Status:
    Published
    DOI:
    10.1007/s11269-018- – link to the publication

  5. Performance of the air2stream model that relates air and stream water temperatures depends on the calibration method

    Authors:
    Piotrowski AP, Napiorkowski JJ
    Academic press:
    Journal of Hydrology (year: 2018, volume: 561, pages: 395-412), Publisher: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.jhydrol.2018.04.016 – link to the publication

  6. Simple modifications of the nonlinear regression stream temperature model for daily data

    Authors:
    Piotrowski AP, Napiorkowski JJ
    Academic press:
    Journal of Hydrology (year: 2019, volume: 572, pages: 308-328), Publisher: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.jhydrol.2019.02.035 – link to the publication

  7. Input dropout in product unit neural networks for stream water temperature modelling

    Authors:
    Piotrowski AP, Napiorkowski JJ, Piotrowska AE
    Academic press:
    Journal of Hydrology (year: 2021, volume: 598, pages: 126253), Publisher: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.jhydrol.2021.126253 – link to the publication

  8. Influence of the choice of stream temperature model on the projections of water temperature in rivers

    Authors:
    Piotrowski AP, Osuch M, Napiorkowski JJ
    Academic press:
    Journal of Hydrology (year: 2021, volume: 601, pages: 126629), Publisher: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.jhydrol.2021.126629 – link to the publication

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Graphic design and implementation: Jakub Piotrowski