Experimental Dataset for Rapid Monitoring of Concentration and Scaling Tendency in Recirculating Cooling Water Using Paper-Based Colorimetric Tests

Recirculating cooling systems require reliable control of water concentration to limit scaling while avoiding unnecessary water losses associated with excessive blowdown and make-up water demand. This study developed and evaluated a paper-based colorimetric approach for rapid monitoring of concentration and scaling conditions in recirculating cooling water. The experimental validation was performed using make-up water from the cooling-water system of the Rivne Nuclear Power Plant and a laboratory-scale installation simulating progressive water concentration by controlled evaporation. Test A was used for chloride determination and subsequent calculation of the concentration factor (CF), whereas Test B was used for total hardness (TH) determination. The proposed measurements were validated against ISO 9297 and ISO 6059, respectively, and the concentration–hardness precipitation index (CPI) was calculated from the expected and measured TH values. In addition, the Langelier Saturation Index (LSI) and Ryznar Stability Index (RSI) were calculated to provide complementary scaling assessments. The colorimetric tests showed strong agreement with the reference methods, with Pearson correlation coefficients of 0.996 for Cl−, 0.997 for TH, and 0.9996 for CF (p < 0.0001). CPI, LSI, and RSI showed a consistent shift towards increasing scaling tendency with increasing CF. The proposed approach therefore provides a simple screening tool for operational control of recirculating cooling water and may support more efficient water use and circular water management.

Authors

Institutions

Publication Details

Journal
Data
Published
2026-10-08
DOI
https://doi.org/10.3390/data11100269
Primary Topic
Water Quality Monitoring and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Experimental Dataset for Rapid Monitoring of Concentration and Scaling Tendency in Recirculating Cooling Water Using Paper-Based Colorimetric Tests

Viktor Moshynskyi, Serhii Martynov, Olha Biedunkova, Павло Кузнєцов et al.
Data
Water Quality Monitoring and Analysis
article

Experimental Dataset for Rapid Monitoring of Concentration and Scaling Tendency in Recirculating Cooling Water Using Paper-Based Colorimetric Tests

Viktor Moshynskyi, Serhii Martynov, Olha Biedunkova, Павло Кузнєцов, Alla Kucherova
article en

Abstract

Recirculating cooling systems require reliable control of water concentration to limit scaling while avoiding unnecessary water losses associated with excessive blowdown and make-up water demand. This study developed and evaluated a paper-based colorimetric approach for rapid monitoring of concentration and scaling conditions in recirculating cooling water. The experimental validation was performed using make-up water from the cooling-water system of the Rivne Nuclear Power Plant and a laboratory-scale installation simulating progressive water concentration by controlled evaporation. Test A was used for chloride determination and subsequent calculation of the concentration factor (CF), whereas Test B was used for total hardness (TH) determination. The proposed measurements were validated against ISO 9297 and ISO 6059, respectively, and the concentration–hardness precipitation index (CPI) was calculated from the expected and measured TH values. In addition, the Langelier Saturation Index (LSI) and Ryznar Stability Index (RSI) were calculated to provide complementary scaling assessments. The colorimetric tests showed strong agreement with the reference methods, with Pearson correlation coefficients of 0.996 for Cl−, 0.997 for TH, and 0.9996 for CF (p < 0.0001). CPI, LSI, and RSI showed a consistent shift towards increasing scaling tendency with increasing CF. The proposed approach therefore provides a simple screening tool for operational control of recirculating cooling water and may support more efficient water use and circular water management.

DataVol. 11(10)
National University of Water and Environmental Engineering (UA)
Openalex Percentile: Top 10%
Water Quality Monitoring and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Experimental Dataset for Rapid Monitoring of Concentration and Scaling Tendency in Recirculating Cooling Water Using Paper-Based Colorimetric Tests — Viktor Moshynskyi, Serhii Martynov, et al. · Data (2026) | TGRS Research Map | TGRS