Prediction of effluent biochemical and chemical oxygen demand in Lake Manzala Hybrid Constructed Wetlands, Egypt using a linear regression-gradient boosting framework.

Fahim A, Elshewey AM

Open source

DOI
10.1007/s11356-026-38073-4
Published
2026 Jun
Container
Environmental science and pollution research international
Publisher
Not recorded
Open access
unknown

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1007/s11356-026-38073-4,
  title = {Prediction of effluent biochemical and chemical oxygen demand in Lake Manzala Hybrid Constructed Wetlands, Egypt using a linear regression-gradient boosting framework.},
  author = {Fahim A and Elshewey AM},
  year = {2026},
  journal = {Environmental science and pollution research international},
  doi = {10.1007/s11356-026-38073-4},
  url = {https://doi.org/10.1007/s11356-026-38073-4}
}

RIS

TY  - JOUR
TI  - Prediction of effluent biochemical and chemical oxygen demand in Lake Manzala Hybrid Constructed Wetlands, Egypt using a linear regression-gradient boosting framework.
AU  - Fahim A
AU  - Elshewey AM
PY  - 2026
JO  - Environmental science and pollution research international
DO  - 10.1007/s11356-026-38073-4
UR  - https://doi.org/10.1007/s11356-026-38073-4
ER  - 

APA

A, F., & AM, E. (2026). Prediction of effluent biochemical and chemical oxygen demand in Lake Manzala Hybrid Constructed Wetlands, Egypt using a linear regression-gradient boosting framework.. Environmental science and pollution research international. https://doi.org/10.1007/s11356-026-38073-4

Source records