Effects of lake water level fluctuation due to drought and extreme winter precipitation on mixing and water quality of an alpine lake, Case Study: Lake Arrowhead, California

Saber, Ali; James, David E.; Hannoun, Imad A.

doi:10.1016/j.scitotenv.2020.136762

Cited by 36 publications

(25 citation statements)

References 60 publications

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“…Maintaining the water quality of water resources requires continuous monitoring of the physicochemical and bacteriological characteristics of the water [ 20 , 21 , 22 ]. By monitoring the water quality, it is possible to detect any variation that occurred, determining the reasons for such variations, and finding some possible solutions [ 23 , 24 , 25 ]. There could be many reasons why the water quality in a lake or reservoir is altered.…”

Section: Introductionmentioning

confidence: 99%

“…Some waterbodies are controlled by climate and meteorological conditions. Lake Arrowhead is a good example; a dry season from the summer of 2012 to the winter of 2018 followed by intense storms in the winter of 2019 caused significant changes in the water quality of the lake [ 24 ]. In addition, land use has a great impact on water quality, such as urbanization.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Assessment of Water Quality in A Tropical Reservoir in Mexico: Seasonal, Spatial and Multivariable Analysis

Loaiza

Rangel‐Peraza

Sanhouse-García

et al. 2021

IJERPH

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Agricultural activities are highly related to the reduction of the availability of water resources due to the consumption of freshwater for crop irrigation, the use of fertilizers and pesticides. In this study, the water quality of the Adolfo López Mateos (ALM) reservoir was evaluated. This is one of the most important reservoirs in Mexico since the water stored is used mainly for crop irrigation in the most productive agricultural region. A comprehensive evaluation of water quality was carried out by analyzing the behavior of 23 parameters at four sampling points in the period of 2012-2019. The analysis of the spatial behavior of the water quality parameters was studied by spatial distribution graphs using the Inverse Distance Weighting interpolation. Pearson correlation was performed to better describe the behavior of all water quality parameters. This analysis revealed that many of these parameters were significantly correlated. The Principal Components Analysis (PCA) was carried out and showed the importance of water quality parameters. Ten principal components were obtained, which explained almost 90% of the total variation of the data. Additionally, the comprehensive pollution index showed a slight water quality variation in the ALM reservoir. This study also demonstrated that the main source of contamination in this reservoir occurs near sampling point one. Finally, the results obtained indicated that a contamination risk in the waterbody and further severe ecosystem degradations may occur if appropriate management is not taken.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Assessment of Water Quality in A Tropical Reservoir in Mexico: Seasonal, Spatial and Multivariable Analysis

Loaiza

Rangel‐Peraza

Sanhouse-García

et al. 2021

IJERPH

View full text Add to dashboard Cite

show abstract

“…In general, studies on lake salinity are either field-based [38,39] and focused on a static study modeling the watershed outlet [40], or model-based which involves complex modelling at a plot scale [41][42][43]. With the unceasing promotion of computer performance, numerical modeling integrated with field and laboratory data has proven to be an effective tool for describing the complex physical [44][45][46], chemical, and biological processes [47,48] and their interactions between state variables [49,50].…”

Section: Introductionmentioning

confidence: 99%

Effects of Irrigation Discharge on Salinity of a Large Freshwater Lake: A Case Study in Chagan Lake, Northeast China

Liu

Zhang

et al. 2020

Water

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The salinization of freshwater lakes by agricultural activities poses a threat to many lake ecosystems around the world. Quantitative, medium- to long-term studies are needed to understand how some common agricultural practices, such as the discharge of crop irrigation in the vicinities of large lakes, may affect lake salinization. In this study, hydrological, hydrodynamics, water quality and meteorological datasets were used to analyze the long-term spatial-temporal variations of water salinities of a major lake, the Chagan Lake, in Northeast China. An integrated hydrodynamics-salinity model was used to simulate lake water salinity changes taking place at different times and locations, including (i) salt accumulations during a non-frozen period, and (ii) the time when water salinity may reach a significant threshold (1 psu) that jeopardizes a major environmental and economic value of this lake (i.e., the cultivation of local fish species). The results confirmed that Chagan Lake was indeed undergoing salinization in the ten year period between 2008 and 2018. The spatial-temporal patterns of the salinization processes were identified. For instance, (i) the mean salinity of the lake water was found to be 0.55 psu in the summer season of the region and 0.53 psu in the winter, and (ii) between May to October the salinity was up to 0.62 psu in the western region of the lake. The rate of salt accumulation was found to be 97 ton per annum during the non-frozen period. The simulation predicted that by 2024 the lake water will become sub-saline (salinity > 1.07 psu) which is toxic to fish species, if the current practice of irrigation discharge into the lake continues. In the scenario that the amount of irrigation discharges into the lake doubles, the western region of the lake will become sub-saline within one year, and then the whole lake within three years. Overall, this study has produced results that are useful to authorities around the world, for balancing the risks and benefits of developing crop irrigation fields in areas surrounding large freshwater lakes.

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“…ELCOM has been coupled with the biogeochemical CAEDYM model to simulate Lake Erie phytoplankton and nutrients (León et al, 2011), the response of hypoxia (Bocaniov and Scavia 2016) and algae blooms (Scavia et al, 2016) to nutrient load reductions. Recent applications of AEM3D include a study of the water level in Lake Arrowhead, California (Saber et al, 2020), ice cover in Lake Constance (Caramatti et al, 2019) and pollutant transport in Lake St. Clair (Madani et al, 2020).…”

Section: Study Sitementioning

confidence: 99%

“…Lakes hold a large proportion of the global surface freshwater, which supports biodiversity and supplies water resources for drinking, transportation and recreation. However, anthropogenic stressors are causing significant changes in the properties of lakes, such as rapid warming of surface water (O'Reilly et al, 2015), major seasonal water level fluctuations (Gronewold and Rood, 2019), increased frequency of extreme events (Saber et al, 2020) and severe water quality issues such as oxygen depletion (Rowe et al, 2019;Scavia et al, 2014) and harmful algal blooms (Brookes and Carey, 2011;Watson et al, 2016). Effort has been spent on investigating the long-term responses of physical processes in lakes to climate change (O'Reilly et al, 2015;Woolway and Merchant, 2019), but improving lake monitoring and developing short-term forecast models, to predict the occurrence of extreme events is also necessary (Woolway et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

An automatic lake-model application using near real-time data forcing: Development of an operational forecast model for Lake Erie

Lin

Boegman

Shan

et al. 2021

Preprint

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Abstract. For enhanced public safety and water resource management, a three-dimensional operational lake hydrodynamic forecast system called COASTLINES (Canadian cOASTal and Lake forecastINg modEl System) was developed. The modelling system is built upon the Aquatic Ecosystem Model (AEM3D) model, with predictive simulation capabilities developed and tested for a large lake (i.e., Lake Erie). The open-access web-based platform derives model forcing, code execution, post-processing and visualization of the model outputs, including water level elevations and temperature, is in near real-time. COASTLINES currently generates 240-h predictions using atmospheric forcing from 15 km and 25 km horizontal-resolution operational meteorological products from the Environment Canada Global Deterministic Forecast System (GDPS). Simulated water levels were validated against observations from 6 gauge stations, with model error increasing for longer forecast times. Satellite images and lake buoys were applied to validate forecast lake surface temperature (LST) and the water column thermal stratification. The forecast LST is as accurate as hindcasts, with a root-mean-square-deviation < 2 ℃. COASTLINES predicts storm-surge events and up-/down-welling events that are important for flood water and drinking water/fishery management, respectively. Model forecasts are available in real-time at https://coastlines.engineering.queensu.ca/. This study provides an example of the successful development of an operational forecasting system, entirely driven by open-access data, that may be easily adapted to simulate aquatic systems or to drive other computational models, as required for management and public safety.

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Effects of lake water level fluctuation due to drought and extreme winter precipitation on mixing and water quality of an alpine lake, Case Study: Lake Arrowhead, California

Cited by 36 publications

References 60 publications

Assessment of Water Quality in A Tropical Reservoir in Mexico: Seasonal, Spatial and Multivariable Analysis

Assessment of Water Quality in A Tropical Reservoir in Mexico: Seasonal, Spatial and Multivariable Analysis

Effects of Irrigation Discharge on Salinity of a Large Freshwater Lake: A Case Study in Chagan Lake, Northeast China

An automatic lake-model application using near real-time data forcing: Development of an operational forecast model for Lake Erie

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