scholarly journals Modeling of Spacio-temporal Evolution of Salt Dispersion on Nokoue Lake

2021 ◽  
Vol 384 ◽  
pp. 93-98
Author(s):  
Esdras Babadjidé Josué Zandagba ◽  
Eric Adéchina Alamou ◽  
Ezechiel Obada ◽  
Amédée Chabi ◽  
Eliézer Iboukoun Biao ◽  
...  
Keyword(s):  
Water Quality ◽  
Numerical Modeling ◽  
Surface Water ◽  
Temporal Evolution ◽  
Water Quality Management ◽  
Surface Water Modeling ◽  
Pollutants Transport ◽  
Flood Period ◽  
Spatio Temporal ◽  
Freshwater Inflows

Abstract. The numerical modeling of spatio-temporal evolution of lagoon has an important role in predicting the behaviour of these systems. Knowing the concentration of the pollutant field distribution in time and space contributes significantly to the prediction of exceptional phenomena. The purpose of this paper is to simulate the transport and dispersion of salt at Nokoue Lake. To this end, the 2D hydrodynamic model SMS (Surface Water Modeling System) has been used. Results showed that in flood period the freshwater inflows produce a net seaward transport, while in low water period the tides lead to periodic seaward and landward transport. The developed numerical model is useful for predicting pollutants transport in this system, for water quality management of the Nokoue Lake, and therefore, fight against eutrophication.

scholarly journals Hydrologic and Water Quality Modeling of the Pebble Mine Project Pit Lake and Downstream Environment after Mine Closure

Minerals ◽  
2020 ◽  
Vol 10 (8) ◽  
pp. 727 ◽  
Author(s):  
Ann Maest ◽  
Robert Prucha ◽  
Cameron Wobus
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Failure Modes ◽  
Porphyry Copper ◽  
Water Quality Modeling ◽  
Open Pit ◽  
Mine Closure ◽  
Pit Lake ◽  
Water Modeling ◽  
Surface Water Modeling

The Pebble Project in Alaska is one of the world’s largest undeveloped copper deposits. The Environmental Impact Statement (EIS) proposes a 20-year open-pit extraction, sulfide flotation, and deposition of separated pyritic tailings and potentially acid-generating waste rock in the pit at closure. The pit will require perpetual pump and treat management. We conducted geochemical and integrated groundwater–surface water modeling and streamflow mixing calculations to examine alternative conceptual models and future mine abandonment leading to failure of the water management scheme 100 years after mine closure. Using EIS source water chemistry and volumes and assuming a well-mixed pit lake, PHREEQC modeling predicts an acidic (pH 3.5) pit lake with elevated copper concentrations (130 mg/L) under post-closure conditions. The results are similar to water quality in the Berkeley Pit in Montana, USA, another porphyry copper deposit pit lake in rocks with low neutralization potential. Integrated groundwater–surface water modeling using MIKE SHE examined the effects of the failure mode for the proposed 20-year and reasonably foreseeable 78-year expansion. Simulations predict that if pumping fails, the 20-year pit lake will irreversibly overtop within 3 to 4 years and mix with the South Fork Koktuli River, which contains salmon spawning and rearing habitat. The 78-year pit lake overtops more rapidly, within 1 year, and discharges into Upper Talarik Creek. Mixing calculations for the 20-year pit show that this spillover would lead to exceedances of Alaska’s copper surface water criteria in the river by a factor of 500–1000 times at 35 miles downstream. The combined modeling efforts show the importance of examining long-term failure modes, especially in areas with high potential impacts to stream ecological services.

Public perception and water quality management

1996 ◽  
Vol 34 (12) ◽  
pp. 25-32 ◽  
Author(s):  
Margaret A. House
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Quality Management ◽  
Environmental Quality ◽  
Public Perception ◽  
Water Quality Management ◽  
Management Strategies ◽  
Water Environment ◽  
Surface Water Quality ◽  
The Impact

The visual and odorous characteristics of the environment tend to be those which have the greatest impact upon the public's assessment of environmental quality. In many cases the public's perception of water quality may be based entirely on these aesthetic aspects of a water environment. Those responsible for the management of surface water quality recognise the need to apply a range of management strategies including a consideration of the public's perception of water quality and the impact of this upon their use of rivers and beaches for recreation and amenity. This paper reports upon the results from a recent investigation into the impact of sewage derived litter on perceived water and environmental quality.

scholarly journals Urban Drool Water Quality in Denver, Colorado: Pollutant Occurrences and Sources in Dry-Weather Flows

Water ◽  
2021 ◽  
Vol 13 (23) ◽  
pp. 3436
Author(s):  
Forrest Gage Pilone ◽  
Pablo A. Garcia-Chevesich ◽  
John E. McCray
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Water Quality Management ◽  
Shallow Groundwater ◽  
Return Flow ◽  
Arid Environments ◽  
E Coli ◽  
Pollutant Concentrations ◽  
Natural Streams ◽  
Phosphorus And Potassium

Dry-weather flows in urban channels and streams, often termed “urban drool”, represent an important source of urban surface water impairment, particularly in semi-arid environments. Urban drool is a combination of year-round flows in urban channels, natural streams, and storm-sewer systems (runoff from irrigation return flow, car washes, street cleaning, leakage of groundwater or wastewater into streams or storm sewers, etc.). The purpose of this study was to better understand the extent and sources of urban drool pollution in Denver, Colorado by identifying relationships between urban catchment characteristics and pollutants. Water-quality samples were taken throughout Denver at urban drainage points that were representative of a variety of urban characteristics. Samples were analyzed for total suspended solids (TSS), coliforms, Escherichia Coli (E. coli), nutrients (nitrate, phosphorus, and potassium), dissolved and total organic carbon, and dissolved and total recoverable metals. Results from this study were as follows: (1) most contaminants (nitrate, phosphorus, arsenic, iron, manganese, nickel, selenium, and zinc) were concluded to be primarily loaded from shallow groundwater; (2) anthropogenic effects likely exacerbated groundwater pollutant concentrations and contributions to surface water; (3) nitrate, nickel, and manganese may be partially contributed by industrial inputs; (4) medical marijuana cultivation sites were identified as a potential source of nutrient and zinc pollution; (5) E. coli was a ubiquitous contaminant in all urban waterways; (6) erosion of contaminated urban soils, presumably from construction, was found to significantly increase concentrations of TSS, total phosphorus, and total metals. Increasing urbanization and predicted drier climates suggest that dry-weather flows will become more important to manage; the results from this study provide insight on dry-weather water quality management for the City and County of Denver.

scholarly journals Water quality index and spatio-temporal perspective of a large Brazilian water reservoir

2020 ◽  
Author(s):  
Karla Lorrane de Oliveira ◽  
Ramatisa Ladeia Ramos ◽  
Sílvia Corrêa Oliveira ◽  
Cristiano Christofaro
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Quality Index ◽  
Water Quality Management ◽  
Water Reservoir ◽  
Material Transport ◽  
Reservoir Water ◽  
Canadian Council ◽  
Spatio Temporal ◽  
Ccme Wqi

Abstract The water spatio-temporal variability of the Irapé Hydroelectric Power Plant reservoir and its main tributaries was evaluated by analysing the temporal trend of the main parameters and applying the Canadian Council of Ministers of the Environment Water Quality Index (CCME WQI), considering data from 2008 to 2018. This reservoir is in Minas Gerais, Brazil, covering an area of approximately 142 km2, across seven municipalities. The dissolved iron (DFe) presented the highest percentage of standard violations (31.7% to 80.5%), with most frequencies being verified in the reservoir tributaries. The Mann–Kendall test indicated that the monitoring stations showed an increasing trend of 78.5% N–NH4+ and 64.1% DFe. During the evaluated period, the reservoir waters were classified as excellent (1.2%), good (61.3%), acceptable (29.5%), and poor (8.0%) according to the WQI for the proposed use. The poorest quality classes were more frequent in the tributaries, especially in the year 2009. The WQI seasonal assessment indicated a worsening during the rainy period in 57% of the stations, as a result of external material transport to the water bodies. The CCME WQI, in conjunction with temporal statistical analysis, contributed to the monitoring data interpretation, generating important information for reservoir water quality management.

Treated wastewater suitability for reuse in comparison to groundwater and surface water in a peri-urban area: Implications for water quality management

2022 ◽  
pp. 152780
Author(s):  
Tampo Lallébila ◽  
Alfa-Sika Mande Seyf-Laye ◽  
Adekanmbi Abimbola Olumide ◽  
Boguido Goumpoukini ◽  
Akpataku Kossitse Venyo ◽  
...  
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Quality Management ◽  
Urban Area ◽  
Water Quality Management ◽  
Treated Wastewater

Analysis of Spatio-temporal Variation on Water Quality using a Statistical Markov Process with the Unobservable States

2020 ◽  
Author(s):  
Hemie Cho ◽  
Jae-Ung Yu ◽  
Sumiya Uranchimeg ◽  
Hyun-Han Kwon
Keyword(s):  
Water Quality ◽  
Markov Process ◽  
Environmental Changes ◽  
Deterministic Model ◽  
Markov Chain Model ◽  
Water Quality Management ◽  
Development Project ◽  
Chain Model ◽  
Technology Advancement ◽  
Spatio Temporal

<p>The mechanism of the water pollution process is becoming more complex due to changes in climate and river environment. There has so far been little effort to explore uncertainty considering these factors in water quality management. The water quality of rivers in Korea has become an issue and even led to a socio-political problem, especially after the environmental changes caused by the development project. We used a machine learning based classification apporoach to investigate the overall pattern of water quality changes over the past 16 years including the construction period. Water quality models are commonly based on a numerical-based deterministic model that has limitations representing stochastic behaviors properly. We employed a statistical Markov process approach to classifying the states of water quality within an unsupervised learning framework. Consequently, the spatio-temporal transition of water quality was accurately identified, and a discussion of the potential causes of the transition is offered.</p><p> </p><p>KEYWORDS: Classification, Hidden Markov chain model, Water quality</p><p> </p><p>Acknowledgement</p><p>This work is supported by the Korea Agency for Infrastructure Technology Advancement(KAIA) grant funded by the Ministry of Land, Infrastructure and Transport (Grant 19AWMP-B121100-04)</p>

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