Application of water quality indices for evaluating water quality and anthropogenic impact assessment

Sany, Seyedeh Belin Tavakoly; Monazami, G.H.; Rezayi, Majid; Tajfard, Mohammad; Borgheipour, Hasti

doi:10.1007/s13762-018-1894-5

Cited by 21 publications

(7 citation statements)

References 30 publications

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“…The presence of nitrates in water is usually caused by agricultural activities that use inorganic fertilisers and nitrogen fertilisers to increase yields. Therefore, the main factor expected to contribute to the increasing concentration of NO3 in this area is the flow of agricultural crop waste processed in agriculture-based factories (Tavakoly Sany et al, 2019).…”

Section: Resultsmentioning

confidence: 99%

Urban Water Security Protection: Identifying Pollution Sources in Juru River Basin Using Chemometrics

Mohd Zin,

Kamarudin,

Juahir

et al. 2024

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The consumption of surface water is becoming increasingly significant as a main solution for Malaysia's issues with water supply, especially in urban areas. The study addresses the protection of urban water security by multivariate analysis, evaluating trends in the distribution of water quality parameters and identifies the primary sources and processes involved in water quality contamination in the Malaysian Juru River Basin. Conventional graphical and multivariate statistical methods HACA and PCA from chemometric techniques were used. The data collected in the Juru River was subjected to this investigation, which recorded 19 physical-chemical and microbiological characteristics at two sampling locations throughout the Juru River Basin. Consequently, the HACA was effectively split into the downstream and upstream areas. Six VFs are displayed by PCA in the high pollution source area (HPS), which represents 81.11% of the variance. The main cause of a decrease in water quality in the downstream areas of the Juru River Basin is anthropogenic pollution, or pollution caused by human activities. The study concludes by demonstrating how chemometric techniques can be used to identify significant details about their capacity to interpret complex data that determines the Juru River Basin's spatial and temporal variation in water quality distribution trends into MPS and HPS areas to ensure the urban water security protection.

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Section: Resultsmentioning

confidence: 99%

Urban Water Security Protection: Identifying Pollution Sources in Juru River Basin Using Chemometrics

Mohd Zin,

Kamarudin,

Juahir

et al. 2024

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“…Assessments of water quality and eutrophication can effectively characterize the pollution status and ecosystem structure of lakes. Thus, these assessments act as the initial steps required to generate strategies for water quality conservation and ecological restoration (Sany et al, 2019;Zhi et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Coupling multi-statistic analysis and 3D-EEM recognition for in-depth pollution evaluation and sources apportionment in a eutrophic shallow lake (Lake Gehu, China)

Chao,

Li,

et al. 2024

Preprint

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A clear understanding of both the characteristics and sources of pollution is essential for the rehabilitation and sustainable exploitation of eutrophic shallow lakes. In this study, Lake Gehu was selected as the research subject. Its water quality index (WQI) and trophic level index (TLI) from 2016 to 2020 were evaluated based on multivariate statistical analysis (MSA). Positive matrix factorization (PMF) and three-dimensional fluorescence excitation-emission matrix (3D-EEM) tools were employed to deeply explore the categories and influences of pollution sources. The results indicated improvements to both the comprehensive water quality and eutrophication status with interannual fluctuations over the past five years. However, heavy pollution persisted over summer, with excessive nutrients including organonitrogen, phosphorus and organics. Western and northern Lake Gehu were the most heavily polluted regions, with the significantly higher mean WQI and TLI values compared to those in other regions. Five categories of pollution sources were identified, namely domestic, agricultural non-point, industrial pollution, explosive algal reproduction and the impact of intense rainfall in summer. The priority for control of different pollution sources were presented by PMF, whereas their spatiotemporal influences on Lake Gehu were characterized by 3D-EEM. Thus, coupling PMF and 3D-EEM can enhance the traceability accuracy as well as comprehensively illustrate the characteristics of pollution sources. This study can guide future environmental management of eutrophic shallow lakes.

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“…The rise in human population and development can increase the rate of nutrients load into the surrounding, which can trigger phytoplankton blooms (Freeman et al, 2019). Phosphate (P), nitrate (N), nitrite, ammonium, and silicate are essential macronutrients in the marine ecosystems (Tavakoly Sany et al, 2019;Anderson el al., 2002). In both freshwater and coastal water, excessive amounts of these nutrients will lead to eutrophication and degradation of the aquatic ecosystem.…”

Section: Introductionmentioning

confidence: 99%

Spatial and Temporal Variations of Dissolved Inorganic Nutrients and Relationship with Phytoplankton Density in Coastal Water of Kudat, Sabah, Malaysia

Azad,

Romin,

Saleh

2023

GEP

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Coastal areas of Kudat are dominated by fisheries activities. Development of infrastructure for fishing facilities like jetty, landing centre and other human activities can increase the loading of nutrients in coastal area. High load of nutrients accelerates the blooming of phytoplankton and in long run creates eutrophication. This study was conducted to determine the temporal and spatial variations of nutrients and relationship of phytoplankton density in coastal water of Kudat. Five stations were selected with three replicated in the study area. Phytoplankton samples, water samples and in situ environmental parameters were collected from May 2019 to February 2020 (10 months). The highest concentration of nitrate (NO 3 ) was observed in May 2019, but the highest concentration of phosphate (PO 4 ) observed in July 2019. On the other hand, higher concentrations of phosphate (PO 4 ) were determined than the concentration of nitrate (NO 3 ) in all stations during study period. The distribution of nutrients is due to monsoonal runoff from surrounding areas as well due to anthropogenic activities. Among the 21 species three of them are from harmful algal species and but dominated by diatoms. Poor relationship observed among the dissolved inorganic nutrients and phytoplankton density, indicates that the relationship does not depend on only nutrients but with favourable environmental parameters. Anthropogenic activity can lead to excessive load of nutrients in Kudat coastal water and in long run cause eutrophication problem in ecosystem with potentially larger economic impacts in a long run period.

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Application of water quality indices for evaluating water quality and anthropogenic impact assessment

Cited by 21 publications

References 30 publications

Urban Water Security Protection: Identifying Pollution Sources in Juru River Basin Using Chemometrics

Urban Water Security Protection: Identifying Pollution Sources in Juru River Basin Using Chemometrics

Coupling multi-statistic analysis and 3D-EEM recognition for in-depth pollution evaluation and sources apportionment in a eutrophic shallow lake (Lake Gehu, China)

Spatial and Temporal Variations of Dissolved Inorganic Nutrients and Relationship with Phytoplankton Density in Coastal Water of Kudat, Sabah, Malaysia

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