Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Assessment of the current trophic state and water quality of Lake Naivasha, Kenya using multivariate techniques

View through CrossRef
AbstractLake Naivasha is a tropical freshwater body in Kenya, providing a source of livelihoods to the surrounding communities. The lake ecosystem, however, has become degraded over time because of increasing pollutant loads from multiple sources, including human settlements and agricultural and surface runoff in its basin. Thus, it is vital to study the lake's water quality to determine its current status to inform appropriate management measures. Accordingly, the present study analysed water quality parameters and the trophic state of Lake Naivasha on the basis of water samples collected at eight sampling sites during the dry and wet seasons from December 2019 to May 2020. The physico‐chemical parameters were measured in situ, while nutrients were analysed in the laboratory. The results indicated high turbidity, total nitrogen (TN), ammonium‐nitrogen (NH4+‐N), nitrate‐N (NO3‐N) and total phosphorus (TP) levels during the wet season, and at the Malewa and Karati River mouths, while pH, electrical conductivity (EC) and chlorophyll‐a values were relatively high during the dry season. The water temperature and dissolved oxygen (DO) concentration, however, did not vary between sampling sites or seasons. Cluster analysis (CA) classified the sites into three clusters based on water quality spatial and seasonal variations. Cluster 1 was comprised of the isolated region (Crescent), while clusters 2 and 3 mainly comprised sites sampled during wet and dry seasons, respectively. Similarly, principal component analysis (PCA) revealed spatial and seasonal physico‐chemical variations, indicating nutrient parameters (TN, TP, NO3‐N and NH4+‐N), pH, Secchi depth and turbidity are the major variables influencing water quality variations. Furthermore, factor analysis (FA) identified nutrients, sediment and organic sources as the main lake pollution sources. The trophic state index (TSI = 60–72) indicated the lake varied from a eutrophic to hypertrophic state during the study period. The lake was found to be more eutrophic than reported in previous studies, indicating a progressive deterioration of its water quality. The overall results demonstrated some of the sampling sites in the lake are heavily contaminated with pollutants from various sources, attributable primarily to land use patterns and anthropogenic activities. The results of the present study are useful to inform decisions regarding management of the lake water quality.
Title: Assessment of the current trophic state and water quality of Lake Naivasha, Kenya using multivariate techniques
Description:
AbstractLake Naivasha is a tropical freshwater body in Kenya, providing a source of livelihoods to the surrounding communities.
The lake ecosystem, however, has become degraded over time because of increasing pollutant loads from multiple sources, including human settlements and agricultural and surface runoff in its basin.
Thus, it is vital to study the lake's water quality to determine its current status to inform appropriate management measures.
Accordingly, the present study analysed water quality parameters and the trophic state of Lake Naivasha on the basis of water samples collected at eight sampling sites during the dry and wet seasons from December 2019 to May 2020.
The physico‐chemical parameters were measured in situ, while nutrients were analysed in the laboratory.
The results indicated high turbidity, total nitrogen (TN), ammonium‐nitrogen (NH4+‐N), nitrate‐N (NO3‐N) and total phosphorus (TP) levels during the wet season, and at the Malewa and Karati River mouths, while pH, electrical conductivity (EC) and chlorophyll‐a values were relatively high during the dry season.
The water temperature and dissolved oxygen (DO) concentration, however, did not vary between sampling sites or seasons.
Cluster analysis (CA) classified the sites into three clusters based on water quality spatial and seasonal variations.
Cluster 1 was comprised of the isolated region (Crescent), while clusters 2 and 3 mainly comprised sites sampled during wet and dry seasons, respectively.
Similarly, principal component analysis (PCA) revealed spatial and seasonal physico‐chemical variations, indicating nutrient parameters (TN, TP, NO3‐N and NH4+‐N), pH, Secchi depth and turbidity are the major variables influencing water quality variations.
Furthermore, factor analysis (FA) identified nutrients, sediment and organic sources as the main lake pollution sources.
The trophic state index (TSI = 60–72) indicated the lake varied from a eutrophic to hypertrophic state during the study period.
The lake was found to be more eutrophic than reported in previous studies, indicating a progressive deterioration of its water quality.
The overall results demonstrated some of the sampling sites in the lake are heavily contaminated with pollutants from various sources, attributable primarily to land use patterns and anthropogenic activities.
The results of the present study are useful to inform decisions regarding management of the lake water quality.

Related Results

Lessons from sociohydrological phenomena in the Lake Naivasha basin, Kenya
Lessons from sociohydrological phenomena in the Lake Naivasha basin, Kenya
<p>The Lake Naivasha basin (Kenya) simultaneously supports a wetland of international importance for biodiversity conservation and agricultural activities of national...
Major ion chemistry in a tropical African lake basin
Major ion chemistry in a tropical African lake basin
SUMMARY. The amount of water lost by seepage from Lake Naivasha, calculated as the residual in the water budget, was 5 (1973), 11 (1974) and 20% (1975) of the total water los...
Physical and chemical water quality characteristics in six wetlands of Lake Tana, Ethiopia
Physical and chemical water quality characteristics in six wetlands of Lake Tana, Ethiopia
Abstract Physical and chemical water quality characteristics were studied in six of Lake Tana. The purpose of the study was to explore how different methods describe the “h...
Water quality assessment of a tropical coastal lake system using multivariate cluster, principal component and factor analysis
Water quality assessment of a tropical coastal lake system using multivariate cluster, principal component and factor analysis
AbstractStatistical techniques represent a reliable tool for classifying, modelling and interpreting surface water quality monitoring data, particularly for lakes. The complexity a...
Trophic structure and a temporal shift in trophic diversity of mobile consumers in a subarctic estuary
Trophic structure and a temporal shift in trophic diversity of mobile consumers in a subarctic estuary
Abstract Quantifying trophic relationships within and between species in terms of trophic position, ontogeny, and trophic diversity provides information on community-level ...
Satellite-derived trophic index to support management of small and medium-sized lakes 
Satellite-derived trophic index to support management of small and medium-sized lakes 
The trophic index is one of the most important indicators for primary production and potential anthropogenic eutrophication of lakes. In Germany, It is calculated from measured pho...

Back to Top