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Wyszukujesz frazę "non-point source pollution" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Statistical Analysis of Urban Non-Point Source Pollution and Nitrate Contamination in the Groundwater at Thuckalay, Kanyakumari District, South India
Autorzy:
Ramesh, Bhagavathi Krishnan
Vanitha, Sankararajan
Tematy:
statistical analysis
groundwater
agriculture
non-point source pollution
nitrate contamination
nitrate pollution index
Pokaż więcej
Data publikacji:
2024
Powiązania:
https://bibliotekanauki.pl/articles/59114418.pdf  Link otwiera się w nowym oknie
Źródło:
Journal of Ecological Engineering; 2024, 25, 6; 271-291
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Opis:
A statistical analysis of nitrate contamination in the groundwater at the Thuckalay area of Padmanabhapuram town, South India, is conducted using data collected from 2000 to 2019 that includes rainfall, groundwater level, and groundwater quality. The findings indicate that there was a rise in nitrate contamination in the groundwater between 2001 and 2011. This increase can be attributed directly to the 6.69% increase in population and the corresponding increase of 108.79 hectares in residential areas, which accounts for the 17% expansion. The elevated concentrations of EC (1830 µS/cm), Cl (511 mg/L), Na (210 mg/L), NO3 (150 mg/L), TH (420 mg/L), and precipitation (1,184) in 2011 may have an impact on the non-point source contamination in the subject area, which is caused by flowing water bodies. An investigation was conducted into the sources and regulating factors of elevated nitrate levels through the utilisation of cross plots and fitted line plots of NO3 in conjunction with other chosen hydrochemical parameters. Nitrate contamination of the groundwater is indicated by a positive Pearson correlation coefficient between NO3 and Ca, Cl, EC, Na, SAR, SO4, TH, TA, and WL. Furthermore, a nitrate pollution index greater than three signifies a higher degree of pollution during the years 2005, 2010, 2011, 2013 and 2014. The primary sources of nitrate contamination in the vicinity of the study area were human and animal refuse that was disposed of in open areas. This may be the result of increased fertiliser application on agricultural land. Restoring groundwater quality in the studied area is possible through periodic monitoring, regulation of polluting sources, and implementation of a natural, cost-effective redevelopment technique.
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Mathematical model development for non-point source in-stream pollutant transport
Autorzy:
Adu, Joy
Kumarasamy, Muthukrishna Vellaisamy
Tematy:
non-point source pollution
hybrid cells in series
pollutant transport
instream flow
pollutant concentration
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Data publikacji:
2020
Powiązania:
https://bibliotekanauki.pl/articles/205003.pdf  Link otwiera się w nowym oknie
Źródło:
Archives of Environmental Protection; 2020, 46, 2; 91-99
2083-4772
2083-4810
Pojawia się w:
Archives of Environmental Protection
Opis:
Non-point source pollution is a primary cause for concern globally. Various models have been developed to tackle this situation with much emphasis placed on best management practices. This practice has, however, proven to be insufficient to solve the NPS pollution situation. Existing non-point source models are watershed- -based and complicated both in operation, parameter estimation and data requirements. A non-point source model is proposed using the concept of the Hybrid Cells in Series model. The model is a three-parameter model made up of three zones, which describes pure advection through time delay in a plug zone, with combined advection and dispersion occurring when the other two zones are considered as thoroughly mixed. The proposed model is tested using synthetic data and field data from the Snake River, Colorado, USA, obtained from literature. Simulations were performed at four sample points; two from the tracer injection point along the Snake River before a confluence and two further downstream after the confluence. A regression analysis was carried out to determine the model’s capability to simulate pollutant transport for the four sampling points. The coefficients of determination are 0.98, 0.94, 0.84 and 0.97 while the standard error for each reach is 2.28E-2, 2.70E-2, 2.32E-2 and 9.35E-3 respectively. The results show good agreement between the measured and the simulated data. The response of the C-t profiles produced by the proposed model for both synthetic and field data demonstrates its ability to effectively simulate pollutant transport in natural rivers subject to non-point source pollution.
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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