Evidence map›Paper›PMID 41236065›Full record

ArticleWater science and technology : a journal of the International Association on Water Pollution Research2025

Integrating data-driven models and process expertise in soft-sensor design for a wastewater treatment digital twin application.

Henri Haimi, Alexis Awaitey, Anmol Kiran, Timo Larsson, Kati Blomberg, Filip Elvander, Eero Petäjä, Michela Mulas, Kristian Sahlstedt, Anna Mikola

Abstract read
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In one paragraph

Article in Water science and technology : a journal of the International Association on Water Pollution Research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Henri HaimiDepartment of Built Environment, Aalto University, P.O. Box 15200, FI-00076 AALTO, Espoo, Finland E-mail: henri.haimi@aalto.fi.ORCID https://orcid.org/0009-0004-4879-197X
Alexis AwaiteyDepartment of Built Environment, Aalto University, P.O. Box 15200, FI-00076 AALTO, Espoo, Finland.
Anmol KiranDepartment of Information and Communications Engineering, Aalto University, P.O. Box 15200, FI-00076 AALTO, Espoo, Finland.ORCID https://orcid.org/0009-0000-6668-2815
Timo LarssonDepartment of Built Environment, Aalto University, P.O. Box 15200, FI-00076 AALTO, Espoo, Finland.
Kati BlombergHelsinki Region Environmental Services Authority HSY, P.O. Box 100, FI-00066 HSY, Helsinki, Finland.
Filip ElvanderDepartment of Information and Communications Engineering, Aalto University, P.O. Box 15200, FI-00076 AALTO, Espoo, Finland.ORCID https://orcid.org/0000-0003-1857-2173
Eero PetäjäDepartment of Built Environment, Aalto University, P.O. Box 15200, FI-00076 AALTO, Espoo, Finland.
Michela MulasDepartment of Teleinformatics Engineering, Federal University of Ceará, Campus do Pici, Fortaleza, Brazil.ORCID https://orcid.org/0000-0001-9120-2465
Kristian SahlstedtHelsinki Region Environmental Services Authority HSY, P.O. Box 100, FI-00066 HSY, Helsinki, Finland.
Anna MikolaDepartment of Built Environment, Aalto University, P.O. Box 15200, FI-00076 AALTO, Espoo, Finland.ORCID https://orcid.org/0000-0002-1629-9276

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital twin models offer great potential for process improvements in wastewater treatment plants (WWTPs). Such models require a constant real-time input data feed from the physical process. Collecting these data is challenging, especially in the harsh conditions in the headworks of the process. In this study, data-driven models and process and sewer system expertise were combined to design soft-sensors for primary effluent COD and NH

Indexed as

Models, TheoreticalWaste Disposal, FluidWastewaterWater PurificationBiological Oxygen Demand AnalysisWastewaterdata-driven modellingdigital twinsoft sensorswastewater treatment

Identifiers

PMID41236065

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.