Currents Status, Challenges, and Future Directions in Identifying Critical Source Areas for Non-Point Source Pollution in Canadian Conditions

Rudra, R. P.; Mekonnen, Balew A.; Shukla, Rituraj; Shrestha, Narayan Kumar; Goel, Pradeep K.; Daggupati, Prasad; Biswas, Asim

doi:10.3390/agriculture10100468

Cited by 27 publications

(16 citation statements)

References 156 publications

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“…The water quality is endangered by both point and non-point source pollution. Compared to point-sources that have currently been effectively managed, the non-point source pollutants from various land-use types, mostly agriculture and fluvial waters are the foremost source of water quality change 6 , 7 .…”

Section: Introductionmentioning

confidence: 99%

Spatio-seasonal variation of water quality influenced by land use and land cover in Lake Muhazi

Umwali

Kurban

Isabwe

et al. 2021

Sci Rep

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Understanding the influence of land use/land cover (LULC) on water quality is pertinent to sustainable water management. This study aimed at assessing the spatio-seasonal variation of water quality in relation to land use types in Lake Muhazi, Rwanda. The National Sanitation Foundation Water Quality Index (NSF-WQI) was used to evaluate the anthropogenically-induced water quality changes. In addition to Principal Components Analysis (PCA), a Cluster Analysis (CA) was applied on 12-clustered sampling sites and the obtained NSF-WQI. Lastly, the Partial Least Squares Path Modelling (PLS-PM) was used to estimate the nexus between LULC, water quality parameters, and the obtained NSF-WQI. The results revealed a poor water quality status at the Mugorore and Butimba sites in the rainy season, then at Mugorore and Bwimiyange sites in the dry season. Furthermore, PCA displayed a sample dispersion based on seasonality while NSF-WQI’s CA hierarchy grouped the samples corresponding to LULC types. Finally, the PLS-PM returned a strong positive correlation (+ 0.831) between LULCs and water quality parameters in the rainy season but a negative correlation coefficient (− 0.542) in the dry season, with great influences of cropland on the water quality parameters. Overall, this study concludes that the lake is seasonally influenced by anthropogenic activities, suggesting sustainable land-use management decisions, such as the establishment and safeguarding protection belts in the lake vicinity.

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Section: Introductionmentioning

confidence: 99%

Spatio-seasonal variation of water quality influenced by land use and land cover in Lake Muhazi

Umwali

Kurban

Isabwe

et al. 2021

Sci Rep

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“…Hence more studies such as herein are needed to establish a baseline nitrate loading using current field crop practices. In a recent review by [47], it was noted that it is important to improve field-scale hydrology and water quality models under cold climates found in Canada and elsewhere in high-latitude regions. Studies that apply field data to calibrate and validate models, as done in this study, will lead to improvements in model accuracy in the future.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Impacts of Climate Change on Tile Discharge and Nitrogen Yield Using the DRAINMOD Model

et al. 2020

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The detrimental impacts of agricultural subsurface tile flows and their associated pollutants on water quality is a major environmental issue in the Great Lakes region and many other places globally. A strong understanding of water quality indicators along with the contribution of tile-drained agriculture to water contamination is necessary to assess and reduce a significant source of non-point source pollution. In this study, DRAINMOD, a field-scale hydrology and water quality model, was applied to assess the impact of future climatic change on depth to water table, tile flow and associated nitrate loss from an 8.66 ha agricultural field near Londesborough, in Southwestern Ontario, Canada. The closest available climate data from a weather station approximately 10 km from the field site was used by the Ontario Ministry of Natural Resources and Forestry (MNRF) to generate future predictions of daily precipitation and maximum and minimum air temperatures required to create the weather files for DRAINMOD. Of the 28 models applied by MNRF, three models (CGCM3T47-Run5, GFDLCM2.0, and MIROC3.2hires) were selected based on the frequency of the models recommended for use in Ontario with SRA1B emission scenario. Results suggested that simulated tile flows and evapotranspiration (ET) in the 2071–2100 period are expected to increase by 7% and 14% compared to 1960–1990 period. Results also suggest that under future climates, significant increases in nitrate losses (about 50%) will occur along with the elevated tile flows. This work suggests that climate change will have a significant effect on field hydrology and water quality in tile-drained agricultural regions.

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“…The NPS pollutants' monitoring and identi cation are the basis of NPS pollution's control and management. Techniques of automatic monitoring, stable isotopic tracer, three-dimensional uorescence spectrum and molecular biology have been widely used in the determination and source identi cation of NPS pollutants (Zhu et al, 2017;Kruk et al, 2020;Rudra et al, 2020;Chen et al, 2021). The frequency of keywords related to monitoring and identi cation was 361 times, while 133 times occurred in China, accounting for 37% (Fig.…”

Section: The Types Of Nps Pollutants Are Diversi Edmentioning

confidence: 99%

Recent progress on the non-point source pollution research from the World and China’s perspective: A bibliometric analysis from 2012 to 2021

Xie

et al. 2022

Preprint

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Background With the effective control of point source pollution, the non-point source (NPS) pollution has been widely concerned as the primary reason for the improvement of global water environmental quality. At present, China is one of the countries with the highest research attention on NPS pollution. The Chinese government pays great attention to the environmental problems caused by the NPS pollution. Therefore, it is of great significance to clarify the global trends of NPS pollution and illustrate the importance of China on the NPS pollution research around the world. Results A bibliometric analysis was conducted based on 3407 publications retrieved from the Web of Science during 2012–2021. China, the USA and UK were the most productive countries. Articles published from China accounting from 23–50% between 2012–2021. Regarding the top 20 most productive authors, 17 of them from China. The most productive 21 institutions were located in China (15) and the UK (6). The Chinese Academy of Sciences stood out, followed by the Beijing Normal University. The Sci. Total Environ ranked first in the most productive journals, followed by Environ. Sci. Pollut. Res and Water. China was the major contributor to these journals, accounting from 24–79%. The most highly cited articles were published in Proc. Natl. Acad. Sci. U.S.A. The keywords analysis showed that nitrogen and phosphorus were the common NPS pollutants. Agricultural NPS pollution and urban NPS pollution were the main NPS types. The land use change, rainfall and irrigation were the main driving factors of NPS pollution. Load calculation and Integrated management were the key points of NPS pollution technology research. The NPS pollution research objects were mainly distributed in the surface water and groundwater, while the ocean might be the hot areas in the future research. Conclusions This study demonstrates the global trend of NPS pollution research during 2012–2021 according to analyzing the annual publication outputs, source journals, source country, author, institution and the high-frequency keywords. Meanwhile, the importance of China on NPS pollution research is explained from the bibliometrics perspective. It is beneficial for guiding the future research of NPS pollution.

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Currents Status, Challenges, and Future Directions in Identifying Critical Source Areas for Non-Point Source Pollution in Canadian Conditions

Cited by 27 publications

References 156 publications

Spatio-seasonal variation of water quality influenced by land use and land cover in Lake Muhazi

Spatio-seasonal variation of water quality influenced by land use and land cover in Lake Muhazi

Assessment of Impacts of Climate Change on Tile Discharge and Nitrogen Yield Using the DRAINMOD Model

Recent progress on the non-point source pollution research from the World and China’s perspective: A bibliometric analysis from 2012 to 2021

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