asm2dn2o : Python package license and attribution notice

Package: asm2dn2o (install via: pip install asm2dn2o)

Modules provided:
    from asm2dn2o import asm2d_n2o, clarifiers, combiner, delay

Packaged and maintained by:
    Dr Taher Abunama (tabunama@gmail.com)

Acknowledgements:
    Part of the work was carried out under the eWatLink project
    (SPGE/CEBEDEAU; BEWARE fellowship funded by the European Commission and SPW Research).

Request:
    Please send feedback and, if you use this package in research/publications, cite the package
    and acknowledge both the upstream ASM2d_N2O authors and this Python packaging work.

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Upstream license agreement / academic-use terms (DTU/PROSYS)
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Dear Colleague,
DTU researchers have developed the ASM2d_N2O model you have downloaded.
The models are available for the Matlab®/Simulink® platform. We have used Matlab release 2019b but the models will also work fine on later releases.
The ASM2d_N2O model includes activated sludge units with N2O production/conversion processes and additional gas-liquid transfer process in covered reactors, clarifies units, flotation units and potential inter-connections among those units. The ASR receives influents from anaerobic line effluent and reject water from decanters in biomass treatment line.
In principle, we provide these implementations for free in a true academic spirit and can therefore not offer any traditional support. You may contact us to discuss various aspects of the models, but we do not guarantee that we can find time to assist you. However, we do ask you to:
•	Send us feedback in case you find errors or possible improvements to the implementations or if you come across operational situations where any of the implementations behave differently or strangely compared to others;
•	Send us copies of scientific papers you write, which are to some extent based on the use of any of these model implementations;
•	Please acknowledge the work that has been carried out by us in any papers you publish where the use of our model implementations has had an impact.
We hope that you will enjoy and benefit from the use of these models and also that it may lead to more scientific collaboration between our groups in the future. You are always welcome to contact us on such matters.
Sincerely,
Tianyu Lei (tilei@kt.dtu.dk)
Dr Xavier Flores-Alsina (xfa@kt.dtu.dk)
Dr Krist V. Gernaey (kvg@kt.dtu.dk)
