Assessment of spatial and temporal variations in water quality using multivariate statistical analysis in the Munroe Island, Kerala, India

Arya, M.S; Biju, A V; Benchamin, Dani

doi:10.1016/j.chnaes.2022.10.002

Cited by 8 publications

(2 citation statements)

References 44 publications

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“…Similar to spatial variations, temporal variations in TDS, NO 2 +NO 3 as well as phosphate concentrations are also a result of nutrient pollution within the catchment [61,75,83]. Similar conclusions were reached in previous studies where it was indicated that over 90% of the phosphate loading into the Hartbeespoort Dam was a result of partially/poorly treated effluent from wastewater treatment works within the Crocodile catchment [20,81,82,84,85]. In addition to the two-way ANOVA, the Mann-Kendall Trend test and Sen's slope estimator test were also applied to the data with the aim of identifying any significant trends and slope magnitudes (Table 9) in the water quality parameters studied.…”

Section: Spatial In the General Water Quality Of The Crocodile River ...supporting

confidence: 77%

Multivariate Analysis of the Dynamics in Water Quality and Trophic Status of the Crocodile River and Hartbeespoort Dam

Matlala¹

2023

eer

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Economic expansion coupled with population growth and associated anthropogenic activities are a threat to water resources globally. This study assessed the dynamics in water quality and trophic status of one of South Africa's hyper-eutrophic reservoirs, the Hartbeespoort Dam. Spatio-temporal variability in water quality parameters was determined on historical data spanning a period of forty years , with the aim of determining decadal changes in the Water Quality Index (WQI), the Water Pollution Index (WPI), the Canadian Council of Ministers of the Environment-Water Quality Index (CCME-WQI) as well as the Nutrient Pollution Index (NPI) and TN:TP ratios in the Hartbeespoort Dam as well as the Crocodile River. The calculated indices provide a single aggregated standardized score of water quality. The efficiency of a bioremediation programme (2007)(2008)(2009)(2010)(2011)(2012) implemented as a mitigation measure to combat eutrophication in the dam was assessed. The study also investigated the impact of rainfall on the variability of the concentration and level of selected physico-chemical parameters. The results of the study revealed that apart from turbidity, rainfall has no significant impact on the variability of other water quality parameters studied. Furthermore, the WQI, CCME-WQI, WPI, as well as the NPI classified the general water quality of the dam as extremely poor and highly polluted. Moreover, TN:TP showed an increase in TP over time, further exacerbating hypereutrophic conditions in the catchment. The study also showed that the bioremediation programme was effective in reducing external P loading, however, bioturbation resulted in the resuspension of historical internal P loads, thus maintaining high phosphate concentrations at the site downstream from the Hartbeespoort Dam.

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Section: Spatial In the General Water Quality Of The Crocodile River ...supporting

confidence: 77%

Multivariate Analysis of the Dynamics in Water Quality and Trophic Status of the Crocodile River and Hartbeespoort Dam

Matlala¹

2023

eer

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“…Additionally, principal component analysis using R was conducted to identify the factors contributing to local and seasonal changes. These findings can be used to trace sources and serve as foundational data for watershed management [18].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Organic Matter Contribution Using Absorbance and Chromatographic Parameters in Lake Paldang, Republic of Korea

Cho,

Seong,

Byeon

et al. 2023

Agronomy

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Organic matter in lakes is categorized into allochthonous organic matter, such as leaves and sewage effluent, and autochthonous organic matter, generated by microorganisms within the water system. In this study, organic matter composition was analyzed using UV-vis spectroscopy and liquid chromatography-organic carbon detection (LC-OCD). Several allochthonous natural organic matter substances were collected including leaves, green leaves, forest soils, and paddy soils. The organic matter composition analysis in our study sites revealed that humic substances comprised the highest proportion (36.5–42.3%). Also, individual samples at each site exhibited distinct characteristics. This study used a humic substance-diagram (HS-diagram) and principal component analysis (PCA) to trace the sources affecting the river water quality and identify their origins. The humic substances of soil origin predominantly influenced the water quality, with the impact of organic matter significantly pronounced during the July rainfall period. Compared with the PCA results, the contribution of the humic substance (HS, 48.9%) and building block (BB, 42.0%) indices appeared higher between June and July in summer, likely due to non-degradable substances released by heavy rain. In fall, the contribution of low molecular weight neutrals increased from 71.2% to 85.2%, owing to a humic substance influx and decomposition. This study demonstrated the application of estimating the relative contributions of source materials in lakes utilized for drinking and agricultural water to identify sources, aiding in the development of efficient watershed management plans.

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Spatial and temporal variation in diversity and abundance of Malacostraca associated with environmental variables in a tropical River in South India

Benchamin,

Sreejai,

Arya

2024

Aquat Ecol

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Assessment of spatial and temporal variations in water quality using multivariate statistical analysis in the Munroe Island, Kerala, India

Cited by 8 publications

References 44 publications

Multivariate Analysis of the Dynamics in Water Quality and Trophic Status of the Crocodile River and Hartbeespoort Dam

Multivariate Analysis of the Dynamics in Water Quality and Trophic Status of the Crocodile River and Hartbeespoort Dam

Evaluation of Organic Matter Contribution Using Absorbance and Chromatographic Parameters in Lake Paldang, Republic of Korea

Spatial and temporal variation in diversity and abundance of Malacostraca associated with environmental variables in a tropical River in South India

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