Water Quality Analysis of Kalidami River Surabaya City Using Biomonitoring Method

Kalidami River in Surabaya is under heavy pollution pressure due to domestic and industrial activities, so a biomonitoring-based water quality assessment is needed. This study aims to analyze the condition of the river ecosystem through physical, chemical, and biological parameters. Water and sediment sampling was conducted in three river segments in April 2025. Physical-chemical parameters including BOD, COD, pH, temperature, TDS, and turbidity were measured using standard tools, while biological analysis focused on macroinvertebrates as bioindicators using the Shannon-Wiener Diversity Index (H') method. Results showed BOD (9.08-11.02 mg/L) and COD (61.3-82.6 mg/L) values exceeded the class 3 quality standard of PP No. 22 of 2021, indicating high organic pollution from domestic and industrial effluents. Although pH (7.53-7.55), temperature (29.9°C), and TDS (337-511 mg/L) met the standards, turbidity in Segment 1 reached 24.39 NTU. Macroinvertebrate diversity was low (H'=0.3768-0.6759) with pollution-tolerant species such as Tubificidae and Gambusia affinis dominating. This condition reflects the heavy ecological pressure due to waste accumulation, slow flow, and massive anthropogenic activities around the river. The study concluded that the degradation of the Kalidami River ecosystem requires immediate intervention, including structured waste management, community education, and periodic biomonitoring-based monitoring for sustainable restoration.

Authors

Institutions

Publication Details

Journal
Journal of Civil Engineering Planning and Design
Published
2025-05-31
DOI
https://doi.org/10.31284/j.jcepd.2025.v4i1.7712
Primary Topic
Water Quality Monitoring Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Water Quality Analysis of Kalidami River Surabaya City Using Biomonitoring Method

Daffa Dwi Falaah, Varrel Raffalino Wardhana
Journal of Civil Engineering Planning and Design
Water Quality Monitoring Technologies
article

Water Quality Analysis of Kalidami River Surabaya City Using Biomonitoring Method

Daffa Dwi Falaah, Varrel Raffalino Wardhana
article en

Abstract

Kalidami River in Surabaya is under heavy pollution pressure due to domestic and industrial activities, so a biomonitoring-based water quality assessment is needed. This study aims to analyze the condition of the river ecosystem through physical, chemical, and biological parameters. Water and sediment sampling was conducted in three river segments in April 2025. Physical-chemical parameters including BOD, COD, pH, temperature, TDS, and turbidity were measured using standard tools, while biological analysis focused on macroinvertebrates as bioindicators using the Shannon-Wiener Diversity Index (H') method. Results showed BOD (9.08-11.02 mg/L) and COD (61.3-82.6 mg/L) values exceeded the class 3 quality standard of PP No. 22 of 2021, indicating high organic pollution from domestic and industrial effluents. Although pH (7.53-7.55), temperature (29.9°C), and TDS (337-511 mg/L) met the standards, turbidity in Segment 1 reached 24.39 NTU. Macroinvertebrate diversity was low (H'=0.3768-0.6759) with pollution-tolerant species such as Tubificidae and Gambusia affinis dominating. This condition reflects the heavy ecological pressure due to waste accumulation, slow flow, and massive anthropogenic activities around the river. The study concluded that the degradation of the Kalidami River ecosystem requires immediate intervention, including structured waste management, community education, and periodic biomonitoring-based monitoring for sustainable restoration.

Journal of Civil Engineering Planning and DesignVol. 4(1)
Institut Teknologi Adhi Tama Surabaya (ID)
Openalex Percentile: Top 74%
Water Quality Monitoring Technologies
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.