Chapter 19
Evaluation and Optimization
of the Treatment Scheme for the Paint
Industry Effluents Using Multi-criteria
Decision Theory
Seval Sözen, Seyda Duba, Dilber Uzun Ozsahin, Fidan Aslanova,
Hüseyin Gökçeku¸ s, and Derin Orhon
Abstract The study was evaluated and optimized the wastewater management for a
paint industry. For this purpose, an in-plant survey identified individual waste streams
for different processes and characterization and treatability studies were conducted
on these segregated waste streams. The resulting treatment scheme involved ten
different technical alternatives related to the operational conditions. An evaluation
was performed using a multiple-criteria decision tool by analyzing physical footprint and performance of the treatment, chemicals used, the sludge produced, the
energy consumed, which defined a sustainable wastewater management involving
the optimal treatment configuration.
Keywords Paint industry · Segregated waste streams · Treatability · Wastewater
management · Multiple-criteria decision tool
S. Sözen (B) · S. Duba
Environmental Engineering Department, Faculty of Civil Engineering, Istanbul Technical
University, 34469 Maslak, Istanbul, Turkey
e-mail: sozens@itu.edu.tr
D. Uzun Ozsahin
DESAM Institute, Near East University, Nicosia, Turkish Republic of Northern Cyprus, Turkey
Department of Biomedical Engineering, Near East University, Nicosia, Turkish Republic of
Northern Cyprus, Turkey
Medical Diagnostic Imaging Department, College of Health Science, University of Sharjah,
Sharjah, United Arab Emirates
D. Uzun Ozsahin
e-mail: dilber.uzunozsahin@neu.edu.tr
F. Aslanova · H. Gökçeku¸ s · D. Orhon
Faculty of Civil and Environmental Engineering, Near East University, Nicosia, Turkish Republic
of Northern Cyprus, Turkey
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
D. Uzun Ozsahin et al. (eds.), Application of Multi-Criteria Decision Analysis in
Environmental and Civil Engineering, Professional Practice in Earth Sciences,
https://doi.org/10.1007/978-3-030-64765-0_19
197
Evaluation and Optimization
of the Treatment Scheme for the Paint
Industry Effluents Using Multi-criteria
Decision Theory
Seval Sözen, Seyda Duba, Dilber Uzun Ozsahin, Fidan Aslanova,
Hüseyin Gökçeku¸ s, and Derin Orhon
Abstract The study was evaluated and optimized the wastewater management for a
paint industry. For this purpose, an in-plant survey identified individual waste streams
for different processes and characterization and treatability studies were conducted
on these segregated waste streams. The resulting treatment scheme involved ten
different technical alternatives related to the operational conditions. An evaluation
was performed using a multiple-criteria decision tool by analyzing physical footprint and performance of the treatment, chemicals used, the sludge produced, the
energy consumed, which defined a sustainable wastewater management involving
the optimal treatment configuration.
Keywords Paint industry · Segregated waste streams · Treatability · Wastewater
management · Multiple-criteria decision tool
S. Sözen (B) · S. Duba
Environmental Engineering Department, Faculty of Civil Engineering, Istanbul Technical
University, 34469 Maslak, Istanbul, Turkey
e-mail: sozens@itu.edu.tr
D. Uzun Ozsahin
DESAM Institute, Near East University, Nicosia, Turkish Republic of Northern Cyprus, Turkey
Department of Biomedical Engineering, Near East University, Nicosia, Turkish Republic of
Northern Cyprus, Turkey
Medical Diagnostic Imaging Department, College of Health Science, University of Sharjah,
Sharjah, United Arab Emirates
D. Uzun Ozsahin
e-mail: dilber.uzunozsahin@neu.edu.tr
F. Aslanova · H. Gökçeku¸ s · D. Orhon
Faculty of Civil and Environmental Engineering, Near East University, Nicosia, Turkish Republic
of Northern Cyprus, Turkey
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
D. Uzun Ozsahin et al. (eds.), Application of Multi-Criteria Decision Analysis in
Environmental and Civil Engineering, Professional Practice in Earth Sciences,
https://doi.org/10.1007/978-3-030-64765-0_19
197