Evidence map›Paper›PMID 41298749›Full record

ArticleScientific reports2025

Comparing RSM-BBD and GEE models to optimize urban stormwater runoff treatment in dolomite-modified porous concrete.

Mohammad Javad Amiri, Leila Vaseghizadeh, Masoud Noshadi, Mohammadreza Mahmoudi

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Article in Scientific reports, 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

4 authors.

Mohammad Javad AmiriDepartment of Water Science and Engineering, Faculty of Agriculture, Fasa University, Fasa, 74616-86131, Iran. mj_amiri@fasau.ac.ir.
Leila VaseghizadehDepartment of Water Science and Engineering, Faculty of Agriculture, Fasa University, Fasa, 74616-86131, Iran.
Masoud NoshadiDepartment of Water Engineering, College of Agriculture, Shiraz University, 71365, Shiraz, Iran.
Mohammadreza MahmoudiDepartment of Statistics, Faculty of Science, Fasa University, Fasa, 74616-86131, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With rapid urbanization exacerbating stormwater pollution and stressing limited water resources, developing efficient and cost-effective treatment technologies to transform contaminated urban runoff into a usable water source has become a pressing environmental challenge. This research investigated the effectiveness of a porous concrete matrix containing dolomite adsorbent for treating urban stormwater runoff. Incorporation of dolomite adsorbent into the porous concrete matrix resulted in a 20% decrease in hydraulic conductivity and a 54.78% reduction in porosity were observed. Conversely, compressive strength increased by 34.85%, and tensile strength improved by 21.56%. To optimize removal of chemical oxygen demand (COD), total dissolved solids (TDS), total suspended solids (TSS), and lead ions (Total Pb), the study employed a combined approach of response surface methodology utilizing a Box-Behnken design (RSM-BBD) and a generalized estimating equation (GEE) model as a function of six operational parameters: 63 < COD < 146 mg L

Indexed as

Dolomite adsorbentGEEPorous concreteRSM-BBDUrban stormwater runoffWater quality improvement

Identifiers

PMID41298749
PMCPMC12658272

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Registered trials

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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.