Study of the impacts of Land Use-Land Cover on surface water quality based on field data and satellite information

Pana, Sofia; Ferral, Anabela; Marinelli, Maria Victoria; Petrosillo, Irene; Asis, Ines del Valle; Roque, Mariana; Bonansea, Matías

doi:10.1109/argencon55245.2022.9940116

Cited by 4 publications

(1 citation statement)

References 12 publications

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“…Given the range of pollutants associated with LULC transformations, several studies have used WQIs to translate the observed measurements of multiple parameters into a single unitless score of overall water quality (e.g., Schiff & Benoit, 2007;Shukla et al, 2018;Wang & Zhang, 2018;Gossweiler et al, 2019;Umwali et al, 2021;Paná et al, 2022;Pandey et al, 2023). In the present study, the NPI provided a convenient means of quantifying overall pollution levels across the sample of 58 sub-catchments.…”

Section: Water Quality Analysismentioning

confidence: 95%

Estimating Thresholds of Natural Vegetation for the Protection of Water Quality in South African Catchments

Locke

2024

Preprint

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Many of South Africa’s water quality problems are directly attributable to the negative impacts of anthropogenic land use transformations, including urban and agricultural expansion. To mitigate these impacts, the preservation of an adequate amount of natural vegetation within catchment areas is an important management strategy. However, it is unclear how much natural vegetation cover is required to provide adequate levels of protection, nor at which scale(s) this strategy would be most effective. Accordingly, regression analysis was used to model relationships between water quality (measured using Nemerow’s Pollution Index) and metrics of natural vegetation at multiple scales across a sample of sub-catchments located within South Africa’s Eastern and Western Cape provinces. With conspicuous outliers removed, the models were able to explain between 69 and 82% of variation in the sample. Moreover, a statistically significant, nonlinear, and inverse relationship was found between proportions of natural vegetation cover and pollution levels. This relationship was strongest when measured (1) across the whole catchment and (2) within a 200 m riparian buffer zone. The models further indicated that approximately 80 to 90% natural vegetation cover was necessary at these scales to maintain water quality at ecologically acceptable levels. Additional nonlinear thresholds estimated using breakpoint analysis suggested that if proportions of natural vegetation fall below 45% (across the whole catchment) and 60% (within a 200 m riparian buffer zone) a dramatic increase in pollution levels can be expected.

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Section: Water Quality Analysismentioning

confidence: 95%

Estimating Thresholds of Natural Vegetation for the Protection of Water Quality in South African Catchments

Locke

2024

Preprint

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Assessing the impact of land use and land cover on river water quality using water quality index and remote sensing techniques

Gani

Sajib

Siddik

et al. 2023

Environ Monit Assess

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The multiscale nexus among land use-land cover changes and water quality in the Suquía River Basin, a semi-arid region of Argentina

Paná,

Marinelli,

Bonansea

et al. 2024

Sci Rep

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Agricultural intensification and urban sprawl have led to significant alterations in riverscapes, and one of the critical consequences is the deterioration of water quality with significant implications for public health. Therefore, the objectives of this study were the assessment of the water quality of the Suquía River, the assessment of LULC change at different spatial scales, and the analysis of the potential seasonal correlation among LULC change and Water Quality Index (WQI). The Sample Sites (SS) 1 and 2 before Cordoba city had the highest WQI values while from SS3 the WQI decreased, with the lowest WQI close to the wastewater treatment plant (SS7) after Cordoba city. From SS8 in a agricultural context, the WQI increases but does not reach the original values. In light of analysis carried out, the correlation between water quality variables and the different LULC classes at the local and regional scales demonstrated that WQI is negatively affected by agricultural and urban activities, while natural classes impacted positively. The spatialization of the results can help strongly in assessing and managing the diffusion of point and non-point pollution along the riverscape. The knowledge gained from this research can play a crucial role in water resources management, which supports the provision of river ecosystem services essential for the well-being of local populations.

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Study of the impacts of Land Use-Land Cover on surface water quality based on field data and satellite information

Cited by 4 publications

References 12 publications

Estimating Thresholds of Natural Vegetation for the Protection of Water Quality in South African Catchments

Estimating Thresholds of Natural Vegetation for the Protection of Water Quality in South African Catchments

Assessing the impact of land use and land cover on river water quality using water quality index and remote sensing techniques

The multiscale nexus among land use-land cover changes and water quality in the Suquía River Basin, a semi-arid region of Argentina

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