Evaluation of water quality using water quality index (WQI) and GIS in Beira Lake, Sri Lanka

Nishanthi, K.; Dushanan, Ramachandren

doi:10.51584/ijrias.2021.61105

Cited by 1 publication

(4 citation statements)

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“…Nishanthi et al. (2021) mentioned that the lesser DO concentration in the Kotte Canal was due to the release of heavily contaminated domestic wastewater. According to one way ANOVA, the variation for DO between monitoring sites was non‐significant ( p > 0.05) and the mean value was 4.66 ppm.…”

Section: Resultsmentioning

confidence: 99%

“…Nishanthi et al. (2021) stated that DO concentration in the Kotte canal fluctuated, and it was less than 5 mg/l during most of the months in the dry season from 2010 to 2019.…”

Section: Resultsmentioning

confidence: 99%

“…Decomposition of organic matters that entered the lagoon either via untreated domestic wastewater or degradation of solid wastes lowered the DO concentration in the lagoon. Nishanthi et al (2021) mentioned that the lesser DO concentration in the Kotte Canal was due to the release of heavily contaminated domestic wastewater.…”

Section: Selection Of Monitoring Sitesmentioning

confidence: 99%

“…Consequently, the lagoon water was found suitable for agriculture and irrigation purposes (DO > 3 ppm), while unsuitable for aquatic life and human contact (e.g., bathing, recreation), as its DO concentration was below the tolerance limits (minimum 5 ppm). Nishanthi et al (2021) stated that DO concentration in the Kotte canal fluctuated, and it was less than 5 mg/l during most of the months in the dry season from 2010 to 2019.…”

Section: Selection Of Monitoring Sitesmentioning

confidence: 99%

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Water quality monitoring and assessment in coastal lagoons: Developing a protocol using a case study in Sainthamaruthu lagoon, Sri Lanka

Begum,

Weragoda,

Mowjood

2023

Environmental Quality Mgmt

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Sustainable water resources management requires monitoring and assessment of water quality in addition to quantity. Coastal lagoons play a critical role for the people and the ecosystem at large. Water quality monitoring and assessment for lagoons in Sri Lanka is important considering its services to the country. However, due to a lack of resources, most of the lagoons are not monitored and reported properly for further action. This study aims to develop a protocol in terms of monitoring sites, parameters, and frequency for water quality monitoring using a case study in a coastal lagoon, in Sainthamaruthu, Sri Lanka. The physicochemical parameters were measured weekly at eighteen monitoring sites for 4 months during the dry season from June to September 2022. Cluster analysis (CA) along with Inverse Distance Weighted (IDW) interpolation technique revealed that a minimum of three sites out of 18 are sufficient for monitoring water quality in the lagoon. In light of Principal Component Analysis (PCA) and Discriminant Analysis (DA), it was decided to retain temperature, pH, turbidity, Total Dissolved solids (TDS), Electrical Conductivity (EC), and Dissolved Oxygen (DO) in monitoring programs, since they cumulatively account for 79% of the variation in water quality in the lagoon spatially and temporally. Monitoring turbidity, TDS, and EC at weekly interval, while monitoring temperature, pH, and DO at biweekly or monthly is recommended. A further indication of the lagoon's water quality is that the mean values for turbidity (27 NTU), EC (754 μS/cm), and DO (4.6 ppm) higher than ambient standards, while TDS (344 ppm) and pH (6.98) are within. Therefore, we conclude that the lagoon requires remediation measures to be suitable for environmental purposes during dry periods.

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Section: Resultsmentioning

confidence: 99%

“…Nishanthi et al. (2021) stated that DO concentration in the Kotte canal fluctuated, and it was less than 5 mg/l during most of the months in the dry season from 2010 to 2019.…”

Section: Resultsmentioning

confidence: 99%

Section: Selection Of Monitoring Sitesmentioning

confidence: 99%

Section: Selection Of Monitoring Sitesmentioning

confidence: 99%

See 2 more Smart Citations